quantitative psychology dissertation examples

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Psychology Dissertations and Theses

Theses/dissertations from 2023 2023.

Examining Factors Impacting the Service Needs of Unhoused Women , Holly Brott

Main, Mediated, and Moderated Effects of Participating in an After-School Social and Emotional Learning Program on Young Children's Development of Social-Emotional Skills , Amy L. Cordier

Who Puts the "Support" in Supportive Housing? The Impact of Housing Staff on Resident's Well-Being, and the Potential Moderating Role of Self-Determination , Kenna Estell Dickard

Tell Me, Do You Feel It Too? A Meta-analysis of Dyadic Emotional Contagion in the Workplace , Stefanie Fox

Left on "Read" and All Alone: Instigated Cyber Incivility, Shame, and Experienced Ostracism at Work , Alison Lucia Hunt

Exploring Associations between Military Identity and Well-being Outcomes among Post-9/11 Veterans after Separation , James David Lee

Experiences of People with Serious Mental Illness Seeking Services at Community Mental Health Centers During the COVID-19 Pandemic , Emily Leickly

Why So Serious? Using the Belongingness Need Tenet from the Self-Determination Theory to Examine Workplace Humor and Its Outcomes , Katharine Lucille McMahon

Diversity in Recruitment: The Role of Realistic Website Job Previews for Racial and Ethnic Minority Applicants , Jennifer Saucedo

Antecedents of FSSB: Evaluating the Demographic Basis of Support , Erika Ann Schemmel

A Daily Investigation of the Recovery Paradox: Examining the Dynamic Interplay of Workload, Recovery Experiences, and Microbreaks , Morgan Rose Taylor

Not on the Menu: Customer Sexual Harassment in the Restaurant Industry , Fernanda Wolburg Martinez

Theses/Dissertations from 2022 2022

Model.Disclose(): Examination of Obsessive-Compulsive Disorder Disclosure at Work , Timothy Allen Carsey

Transforming Learning Communities, Transforming Ourselves: A Qualitative Investigation of Identity Processes in a Participatory Action Research-themed Undergraduate Course , Julia Sara Dancis

Clarifying and Measuring Inclusive Leadership , Kelly Mason Hamilton

Intersections of Masculinity, Culturally Relevant Factors, and Intimate Partner Violence Perpetration Among Asian American Men , Jason Z. Kyler-Yano

Sleeping to Support: An Examination of the Relationship Between Leader Sleep and Positive Support Behaviors , Jordyn Jan Leslie

Work-Related IPV Among Latinos: Exploring the Roles of Fatherhood Status, Gendered Expectations, and Support for Intimate Partner's Employment , Adrian Luis Manriquez

Masculinity Instability and Ideologies as Predictors of IPV Perpetration: The Mediating Role of Relationship Power , Emma Christine Marioles O'Connor

The Benefits of Social Support on Health and Well-Being in Military Populations: Examining Mechanisms, Source of Support, and the Reach of a Workplace Well-Being Intervention , AnnaMarie Sophia O'Neill

Do Motives Matter? The Role of Motivation in Shaping the Impact of Mindfulness Training on Teachers' Psychological Distress and Wellbeing , Cristi N. Pinela

Theses/Dissertations from 2021 2021

The Longitudinal Effects of a Family and Sleep Supportive Intervention on Service Member Anger and Resilience , Shalene Joyce Allen

Drug Conviction and Employment Restriction: Experiences of Employees with Drug-Related Criminal Histories , Liana Bernard

Sustaining Boys' Motivation Over the Transition to Middle School: Can Interpersonal Resources Protect Boys from Engagement Declines Across Sixth Grade? , Brandy Anne Brennan

Returning to Rejection: Outcomes and Boundary Conditions of Mental Illness Stereotypes , Stefanie Fox

Guarding Against Strain: The Moderating Role of Nonwork Experiences in the Relationship Between Work-Related Hypervigilance and Strain in Correctional Officers , Samantha Getzen

Anti-Muslim Bias: Investigating Individual Differences, Threat Perceptions, and Emotions in Islamophobic Policy Support , Aeleah M. Granger

Black Children's Development of Self-Regulation within Stressful Contexts of Parenting: Investigating Potential Buffering Effects of a Kindergarten Social-Emotional Learning Program , Eli Labinger

"Like I Was an Actual Researcher": Participation and Identity Trajectories of Underrepresented Minority and First-Generation STEM Students in Research Training Communities of Practice , Jennifer Lynn Lindwall

Claiming Miscommunication to Justify Rape: The Role of Liking the Perpetrator , Alyssa Marie Glace Maryn

An "I" for an "I" : A Systematic Review and Meta-Analysis of Instigated and Reciprocal Incivility , Lauren Sarah Park

Parenting and Children's Academic Coping as a Dynamic System: Feedforward, Feedback, and Mediators of Changes Across the School Year , Kristen Elizabeth Raine

Does Experiencing Spousal Support and Strain Impact the Quality of Family-Based Support that Supervisors Provide to Employees? , Joseph Alvin Sherwood

"B-ing Flexible" : Examining Creativity in Bisexual Employees , Megan Jane Snoeyink

Exploring the Relationships Between Community Experiences and Well-Being among Youth Experiencing Homelessness , Katricia Stewart

Mothers' Drinking Motives , Sheila Kathleen Umemoto

An Examination of Nurses' Schedule Characteristics, Recovery from Work, and Well-Being , Sarah Elizabeth Van Dyck

Preventing Sexual Violence Through Understanding Perceptions of Sexual Offenders , Judith G. Zatkin

Theses/Dissertations from 2020 2020

Examining Employee Needs at Work and Home: a Self-Determination Theory Perspective , Dana Anuhea Auten

Trajectories, Time Windows, and Alternative Pathways of Engagement: Motivational Resources Underlying Academic Development during Middle School , Heather Anne Brule

Examining Mindfulness Training for Teachers: Theoretical and Methodological Extensions of Intervention Effectiveness , Jaiya Rae Choles

Detecting Reinforcement Patterns in the Stream of Naturalistic Observations of Social Interactions , James Lamar DeLaney 3rd

An Investigation of the Temporal Relationship Between Agitation and Sleep Disturbances , Emily Catherine Denning

Peers' Academic Coping as a Resource for Academic Engagement and Motivational Resilience in the First Year of Middle School , Daniel Lee Grimes

Home Resources Supporting Workplace Resources: an Investigation of Moderated Intervention Effects From the Study for Employment Retention of Veterans (SERVe) , Sarah Nielsen Haverly

"It Puts a Face to All the Knowledge We've Gotten" : a Program of Research on Intimate Partner Violence Surrogate Impact Panels , Kate Louise Sackett Kerrigan

A Daily Examination of Anger and Alcohol Use Among Post-9/11 Veterans , James David Lee

An Examination of Daily Family-Supportive Supervisor Behaviors, Perceived Supervisor Responsiveness and Job Satisfaction , Luke Daniel Mahoney

Nurse Can't Even: the Immediate Impact of Incivility on Affect, Well-being, and Behavior , Katharine Lucille McMahon

Perceptions of Police Use of Force at the Intersection of Race and Pregnancy , Emma Elizabeth Lee Money

The Impact of Paternal Caregivers for Youth Who Commit Sexual Offenses , Miranda Hope Sitney

Human Energy in the Workplace: an Investigation of Daily Energy Management Strategies, Job Stressors and Employee Outcomes , Morgan Rose Taylor

Individual and Community Supports that Impact Community Inclusion and Recovery for Individuals with Serious Mental Illnesses , Rachel Elizabeth Terry

Investigating Sexual Fantasy and Sexual Behavior in Adolescent Offenders , Hayley Lauren Tews

Theses/Dissertations from 2019 2019

Integrating Work Ability into the Organizational Science Literature: Advancing Theory and Developing the Nomological Network , Grant Brady

Family Linked Workplace Resources and Contextual Factors as Important Predictors of Job and Individual Well-being for Employees and Families , Jacquelyn Marie Brady

The Role of Teacher Autonomy Support Across the Transition to Middle School: its Components, Reach, and Developmental Effects , Julia Sara Dancis

Does X Mark the Applicant? Assessing Reactions to Gender Non-Binary Job Seekers , Kelly Mason Hamilton

Urbanicity as a Moderator of the Relationship Between Stigma and Well-being Outcomes for Individuals with Serious Mental Illnesses , Emily Leickly

The Relationship Between Undergraduate Research Training Programs and Motivational Resources for Underrepresented Minority Students in STEM: Program Participation, Self-efficacy, a Sense of Belonging, and Academic Performance , Jennifer Lindwall

Perceived Partner Responsiveness, Sleep and Pain: a Dyadic Study of Military-Connected Couples , AnnaMarie Sophia O'Neill

Recruitment Marketing: How Do Wellness and Work-Life Benefits Influence Employer Image Perceptions, Organizational Attraction, and Job Pursuit Intentions? , Amy Christine Pytlovany

The Combined Effects of Parent and Teacher Involvement on the Development of Adolescents' Academic Engagement , Nicolette Paige Rickert

Examining the Development and Classroom Dynamics of Student Disaffection Over Multiple Time Periods: Short-term Episodes and Long-term Trajectories , Emily Anne Saxton

Drinking on a Work Night: a Comparison of Day and Person-Level Associations with Workplace Outcomes , Brittnie Renae Shepherd

Development and Validation of the Workplace Mental Illness Stigma Scale (W-MISS) , Nicholas Anthony Smith

Relational Thriving in Context: Examining the Roles of Gratitude, Affectionate Touch, and Positive Affective Variability in Health and Well-Being , Alicia Rochelle Starkey

Preventing Child Sexual Abuse and Juvenile Offending Through Parental Monitoring , Kelly E. Stewart

"To Call or Not to Call?" The Impact of Supervisor Training on Call Center Employee Attitudes and Well-Being , Whitney Elan Schneider Vogel

Theses/Dissertations from 2018 2018

The Impact of Leader Race and Gender on Perceptions of Organizations in Response to Corporate Error , Nicolas Derek Brown

Impacts of Mindfulness Training on Mechanisms Underlying Stress Reduction in Teachers: Results from a Randomized Controlled Trial , Jaiya Rae Choles

Student Motivation Profiles as a Diagnostic Tool to Help Teachers Provide Targeted Support , Cailin Tricia Currie

Insufficient Effort Responding on Mturk Surveys: Evidence-Based Quality Control for Organizational Research , Lee Cyr

Affirmative Consent Endorsement and Peer Norms Supporting Sexual Violence Among Vulnerable Students on College Campuses , Alyssa Marie Glace

Gendered Partner-Ideals, Relationship Satisfaction, and Intimate Partner Violence , Sylvia Marie Ferguson Kidder

Organizational Calling and Safety: the Role of Workload and Supervisor Support , Layla Rhiannon Mansfield

Bystander Intervention to Prevent Campus Sexual Violence: the Role of Sense of Community, Peer Norms, and Administrative Responding , Erin Christine McConnell

Benevolent Sexism and Racial Stereotypes: Targets, Functions, and Consequences , Jean Marie McMahon

Perceived Overqualification and Withdrawal Among Seasonal Workers: Would Work Motivation Make a Difference? , Anthony Duy Nguyen

Differential Well-Being in Response to Incivility and Surface Acting among Nurses as a Function of Race , Lauren Sarah Park

Financial Strain and the Work-Home Interface: a Test of the Work-Home Resources Model from the Study for Employment Retention of Veterans (SERVe) , MacKenna Laine Perry

Neighbor Perceptions of Psychiatric Supportive Housing : the Role of Knowledge, Attitudes, and Behaviors , Amy Leigh Shearer

The Role of Caregiver Disruption in the Development of Juvenile Sexual Offenders , Miranda Sitney

Intrapersonal and Social-Contextual Factors Related to Psychological Well-being among Youth Experiencing Homelessness , Katricia Stewart

Age-based Differences in the Usefulness of Resources: a Multi-Study Investigation of Work and Well-being Outcomes , Lale Muazzez Yaldiz

Pathways to Kindergarten Growth: Synthesizing Theories of the Kindergarten Transition to Support Children's Development , Rita Yelverton

Theses/Dissertations from 2017 2017

The Force of Manhood: the Consequences of Masculinity Threat on Police Officer Use of Force , Aurelia Terese Alston

Supervisor Mindfulness and Its Association with Leader-Member Exchange , Dana Anuhea Auten

Combat Experiences, Iso-strain, and Sleep Quality Affect Symptoms of Posttraumatic Stress among Working Post-9/11 Veterans , Gilbert Patrick Brady Jr.

A Study of Shame-proneness, Drinking Behaviors, and Workplace Role Ambiguity Among a Sample of Student Workers , Sarah Nielsen Haverly

Intraminority Support For and Participation In Race-Based Collective Action Movements: an Intersectional Perspective , Jaboa Shawntaé Lake

Patients and Nurses and Doctors Oh My!: Nurse Retention from a Multi-Foci Aggression Perspective , Kevin Oliver Novak

Intimate Partner Violence Impact Panels for Batterer Intervention: a Mixed-Methods Evaluation of a Restorative Justice Process , Kate Louise Sackett

Investigating the Relationship Between Supervisor Status and the Modus Operandi of Juvenile Sexual Offenders: a Routine Activity Theory Perspective , Kelly E. Stewart

The Influence of Sense of Community on the Relationship Between Community Participation and Recovery for Individuals with Serious Mental Illnesses , Rachel Elizabeth Terry

Profiles of School Readiness and Implications for Children's Development of Academic, Social, and Engagement Skills , Elizabeth Jane Tremaine

Capturing Peers', Teachers', and Parents' Joint Contributions to Students' Engagement: an Exploration of Models , Justin William Vollet

Sleep and Young Children's Development of Self-Regulation and Academic Skills , Emily Michelle Weiss

Examining the Structure of the Modus Operandi Questionnaire for Adult & Juvenile Sex Offenders , Judith Gayle Zatkin

Theses/Dissertations from 2016 2016

A Meta-Analysis of the Nomological Network of Work Ability , Grant Brady

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Reading Sample Theses

As you prepare for your thesis, you might want to get a sense of what you can accomplish in your finished product. Reading past theses can show you the scope and nature of well-done undergraduate projects. Because theses in different areas of psychology often look quite different, it will help you to examine several in the same general area you plan to conduct your research in.

The Psychology Undergraduate Office has hard copies of several prize-winning theses from the past five years that you may sign out to see what the best undergraduate work looks like. Above, you can browse the titles of past undergraduate theses to give you an idea of the topics of theses students typically write.

Only hard copies of recent prize-winning theses are currently available.

Please note: Recent theses stored in the Social Relations Library (which recently closed) are unavailable. Inquirers needing a thesis that is not listed in HOLLIS should contact the authors of theses directly to attempt to obtain a copy.

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Dissertation examples

Listed below are some of the best examples of research projects and dissertations from undergraduate and taught postgraduate students at the University of Leeds We have not been able to gather examples from all schools. The module requirements for research projects may have changed since these examples were written. Refer to your module guidelines to make sure that you address all of the current assessment criteria. Some of the examples below are only available to access on campus.

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Dissertation

What Is a Dissertation? | Guide, Examples, & Template

A dissertation is a long-form piece of academic writing based on original research conducted by you. It is usually submitted as the final step in order to finish a PhD program.

Your dissertation is probably the longest piece of writing you’ve ever completed. It requires solid research, writing, and analysis skills, and it can be intimidating to know where to begin.

Your department likely has guidelines related to how your dissertation should be structured. When in doubt, consult with your supervisor.

You can also download our full dissertation template in the format of your choice below. The template includes a ready-made table of contents with notes on what to include in each chapter, easily adaptable to your department’s requirements.

Download Word template Download Google Docs template

In the US, a dissertation generally refers to the collection of research you conducted to obtain a PhD.
In other countries (such as the UK), a dissertation often refers to the research you conduct to obtain your bachelor’s or master’s degree.

Dissertation committee and prospectus process, how to write and structure a dissertation, acknowledgements or preface, list of figures and tables, list of abbreviations, introduction, literature review, methodology, reference list, proofreading and editing, defending your dissertation, free checklist and lecture slides.

When you’ve finished your coursework, as well as any comprehensive exams or other requirements, you advance to “ABD” (All But Dissertation) status. This means you’ve completed everything except your dissertation.

Prior to starting to write, you must form your committee and write your prospectus or proposal . Your committee comprises your adviser and a few other faculty members. They can be from your own department, or, if your work is more interdisciplinary, from other departments. Your committee will guide you through the dissertation process, and ultimately decide whether you pass your dissertation defense and receive your PhD.

Your prospectus is a formal document presented to your committee, usually orally in a defense, outlining your research aims and objectives and showing why your topic is relevant . After passing your prospectus defense, you’re ready to start your research and writing.

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The structure of your dissertation depends on a variety of factors, such as your discipline, topic, and approach. Dissertations in the humanities are often structured more like a long essay , building an overall argument to support a central thesis , with chapters organized around different themes or case studies.

However, hard science and social science dissertations typically include a review of existing works, a methodology section, an analysis of your original research, and a presentation of your results , presented in different chapters.

Dissertation examples

We’ve compiled a list of dissertation examples to help you get started.

Example dissertation #1: Heat, Wildfire and Energy Demand: An Examination of Residential Buildings and Community Equity (a dissertation by C. A. Antonopoulos about the impact of extreme heat and wildfire on residential buildings and occupant exposure risks).
Example dissertation #2: Exploring Income Volatility and Financial Health Among Middle-Income Households (a dissertation by M. Addo about income volatility and declining economic security among middle-income households).
Example dissertation #3: The Use of Mindfulness Meditation to Increase the Efficacy of Mirror Visual Feedback for Reducing Phantom Limb Pain in Amputees (a dissertation by N. S. Mills about the effect of mindfulness-based interventions on the relationship between mirror visual feedback and the pain level in amputees with phantom limb pain).

The very first page of your document contains your dissertation title, your name, department, institution, degree program, and submission date. Sometimes it also includes your student number, your supervisor’s name, and the university’s logo.

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quantitative psychology dissertation examples

The abstract is a short summary of your dissertation, usually about 150 to 300 words long. Though this may seem very short, it’s one of the most important parts of your dissertation, because it introduces your work to your audience.

Your abstract should:

State your main topic and the aims of your research
Describe your methods
Summarize your main results
State your conclusions

Theoretical framework

Your literature review can often form the basis for your theoretical framework. Here, you define and analyze the key theories, concepts, and models that frame your research.

Checklist: Dissertation

My title page includes all information required by my university.

I have included acknowledgements thanking those who helped me.

My abstract provides a concise summary of the dissertation, giving the reader a clear idea of my key results or arguments.

I have created a table of contents to help the reader navigate my dissertation. It includes all chapter titles, but excludes the title page, acknowledgements, and abstract.

My introduction leads into my topic in an engaging way and shows the relevance of my research.

My introduction clearly defines the focus of my research, stating my research questions and research objectives .

My introduction includes an overview of the dissertation’s structure (reading guide).

I have conducted a literature review in which I (1) critically engage with sources, evaluating the strengths and weaknesses of existing research, (2) discuss patterns, themes, and debates in the literature, and (3) address a gap or show how my research contributes to existing research.

I have clearly outlined the theoretical framework of my research, explaining the theories and models that support my approach.

I have thoroughly described my methodology , explaining how I collected data and analyzed data.

I have concisely and objectively reported all relevant results .

I have (1) evaluated and interpreted the meaning of the results and (2) acknowledged any important limitations of the results in my discussion .

I have clearly stated the answer to my main research question in the conclusion .

I have clearly explained the implications of my conclusion, emphasizing what new insight my research has contributed.

I have provided relevant recommendations for further research or practice.

If relevant, I have included appendices with supplemental information.

I have included an in-text citation every time I use words, ideas, or information from a source.

I have listed every source in a reference list at the end of my dissertation.

I have consistently followed the rules of my chosen citation style .

I have followed all formatting guidelines provided by my university.

Congratulations!

The end is in sight—your dissertation is nearly ready to submit! Make sure it's perfectly polished with the help of a Scribbr editor.

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Psychology Dissertation Topics

Published by Carmen Troy at January 10th, 2023 , Revised On October 5, 2023

Introduction

Psychology entails the study of mental processes and behaviour. Over the last several years, the demand for psychology graduates has continuously risen due to the growing number of people with psychic problems.

As a psychology student, you can explore one of the many areas of psychology as part of your dissertation project. You can specialize in industrial physiology, mental health, behavioural psychology, cognitive psychology, developmental psychology, personality psychology, social psychology, biological psychology, and psychosocial psychology.

While there are many topic options for psychology students, make sure that you choose one where there is a gap in the literature and more work needs to be done.

To help you get started with brainstorming for psychology topic ideas, we have developed a list of the latest topics that can be used for writing your psychology dissertation.

You may also want to start your dissertation by requesting a brief research proposal from our writers on any of these topics, which includes an introduction to the topic, research question , aim and objectives , literature review along with the proposed methodology of research to be conducted. Let us know if you need any help in getting started.

Check our dissertation examples to get an idea of how to structure your dissertation .

Review the full list of dissertation topics for 2022 here.

2022 Psychology Research Topics

Impact of automation in the manufacturing sector on employee distress and happiness in the uk- an exploratory study finding the psychoeconomic factors.

Research Aim: This study intends to find the impact of automation in the manufacturing sector on employee distress and happiness in the UK. It will explore the moderating Psychoeconomic (Psychological and Economic) factors affected by the increasing automation in the manufacturing industry, affecting the employees’ distress and happiness levels. Furthermore, it will examine the strategies implemented by the manufacturing companies to prevent their employees from the anxiety and unhappiness induced by automation after the technological revolution.

Impact of Sleep Deprivation on Cognitive Performance Among Adults Working from Home during COVID-19 in the UK

Research Aim: This research aims to analyse the impact of sleep deprivation on cognitive performance among adults working from home during COVID-19 in the UK. It will identify how sleep deprivation during COVID-19 affected various mental abilities of employees who were forced to work from home. It will also see how these abilities affect the employees’ productivity during COVID-19. Additionally, it will show the policies adopted by the companies to prevent their employees from working overtime to have a proper sleep. And how does it improve their cognitive performance and productivity?

Effects of Bad Incidents on the Children’s Intelligence- A Critical Assessment through a Clinical Psychology Lens

Research Aim: This research shows the effects of bad incidents on children’s intelligence. It will use a clinical psychology lens to show how clinicians see the relationship between bad incidents in childhood and their impact on children’s intelligence in later life. And in which was these incidents shape the intelligence of children while growing up. Furthermore, it will present a wide range of clinical procedures to overcome the lingering effects of bad incidents on children’s intelligence in later life.

Impact of Marriage Satisfaction on Job Performance in High-Stress Jobs- A Case of Individuals Working in Investment Firms in the UK

Research Aim: This research analyses the impact of marriage satisfaction on job performance in high-stress jobs. It will use investment firms in the UK as a case study to analyse how marriage satisfaction affects the performance of men and women working in these high-stress jobs such as trading and investments. Moreover, it will explore various psychological parts of the job affected by the problems in a marriage. Lastly, it will recommend ways to offset the bad effects of unstable marriage to improve job performance.

The Role of Educational-Psychological Counseling in Career Selection among Immigrant Children in the UK

Research Aim: This research investigates the role of educational-psychological counselling in career selection among immigrant children in the UK. It will show how educational-psychological counselling different aspects of their academic life and help them decide what to pursue in later life. It will also show how this counselling can help them believe that despite coming from outside of the UK, they still have a chance to succeed.

Covid-19 Psychology Research Topics

Topic 1: impacts of coronavirus on the mental health of various age groups.

Research Aim: This study will reveal the impacts of coronavirus on the mental health of various age groups

Topic 2: Mental health and psychological resilience during COVID-19

Research Aim: Social distancing has made people isolated and affected their mental health. This study will highlight various measures to overcome the stress and mental health of people during coronavirus.

Topic 3: The mental health of children and families during COVID-19

Research Aim: This study will address the challenging situations faced by children and families during lockdown due to COVID-19. It will also discuss various ways to overcome the fear of disease and staying positive.

Topic 4: Mental wellbeing of patients during Coronavirus pandemic

Research Aim: This study will focus on the measures taken by the hospital management, government, and families, to ensure the mental wellbeing of patients, especially COVID-19 patients.

Psychology Dissertation Topics for 2021

Topic 1: kids and their relatives with cancer: psychological challenges.

Research Aim: In cancer diagnoses and therapies, children often don’t know what happens. Many have psychosocial problems, including rage, terror, depression, disturbing their sleep, inexpiable guilt, and panic. Therefore, this study identifies and treats the child and its family members’ psychological issues.

Topic 2: Hematopoietic device reaction in ophthalmology patient’s radiation therapy

Research Aim: This research is based on the analysis of hematopoietic devices’ reactions to ophthalmology’s radiation.

Topic 3: Psychological effects of cyberbullying Vs. physical bullying: A counter study

Research Aim: This research will focus on the effects of cyberbullying and physical bullying and their consequences on the victim’s mental health. The most significant part is the counter effects on our society’s environment and human behaviour, particularly youth.

Topic 4: Whether or not predictive processing is a theory of perceptual consciousness?

Research Aim: This research aims to identify: whether or not predictive processing is a theory of perceptual consciousness?

Topic 5: Importance of communication in a relationship

Research Aim: This research aims to address the importance of communication in relationships and the communication gap consequences.

Topic 6: Eating and personality disorders

Research Aim: This research aims to focus on eating and personality disorders

Topic 7: Analysis of teaching, assessment, and evaluation of students and learning differences

Research Aim: This research aims to analyse teaching methods, assessment, and evaluation systems of students and their learning differences

Topic 8: Social and psychological effects of virtual networks

Research Aim: This research aims to study the social and psychological effects of virtual networks

Topic 9: The role of media in provoking aggression

Research Aim: This research aims to address the role of media and in provoking aggression among people

Topic 1: Assessing the advantages and disadvantages of positive reinforcement in special education

Research Aim: The strength and importance of praise in the workplace can have a significant impact on employees and move them from apathy to more happiness and satisfaction. Positive reinforcement motivates and encourages people for their respective tasks. This research aims to assess the advantages and disadvantages of positive reinforcement in special education.

Topic 2: Assessing the relationship between depression and anxiety from the perspective of student academic performance

Research Aim: Emotional disturbance is considered to be a psychological element that can lead to the deterioration of the daily activities of students. Since academic achievements are an integral dimension of students’ lives, depression, anxiety, and other emotional disturbance might lead to poor academic performance. Therefore, this research aims to assess the relationship between depression and anxiety on student academic performance.

Topic 3: How cognitive behaviour therapy helps in dealing with depressed adolescents

Research Aim: Cognitive behavioural theory is regarded as a well-established therapy for depression and other various mental illnesses in children and adolescents. It might be because CBT can reduce suicidal behaviour and thoughts amongst adolescents. The main purpose of this research is to identify how cognitive behaviour therapy can help in dealing with depressed adolescents.

Topic 4: Analysing the psychological impact of bullying on children’s personality and development

Research Aim: Any public humiliation can result in a child’s misconceptions, confusion and misunderstanding about their own personality and the surrounding world. Public humiliation can damage the psychology of children and hinder their overall physical and mental development. The key purpose of this study is to analyse the psychological impact of bullying on children’s personalities and development.

Topic 5: Assessing the impact of psychological pricing on consumer purchase intention

Research Aim: Psychological pricing, also known as charm pricing and price ending, is a market pricing strategy in which certain prices can have a psychological impact on consumers. This strategy also includes a slightly less than a round number, e.g. 2.99, which could incline consumers to make purchase decisions in favour of the seller. Hence, this research aims to assess the impact of psychological pricing on consumer purchase intention.

Topic 6: Borderline Personality Disorder and Self-Cutting Behaviors – Are they Inter Related?

Research Aim: Borderline Personality Disorder is a mental health disorder that impacts the thinking process of an individual. This disorder impacts the way you think and feel about yourself and others. Relationships are unstable. There are extreme emotions and distorted self-image when a person is suffering from a borderline personality disorder. This research will discuss this disorder in detail and evaluate whether self-cutting behaviours are a result of this disorder or not.

Topic 7: Depression and its risk factors – How can it be prevented?

Research Aim: Depression is a psychological issue that needs immediate attention. There are a lot of factors that lead to depression. This research will talk about the various risk factors that contribute to depression in an individual. The research will also discuss ways and strategies through which depression can be managed and eliminated in some cases. Case studies will be a part of this research.

Topic 8: Childhood trauma and its long-lasting impacts on individuals in adulthood

Research Aim: This research will talk about an important issue i.e. childhood trauma. This includes emotional and physical trauma that a child had experienced in his childhood. This research will discuss whether this trauma will impact the individual further in his life or not. If an adult’s future life is likely to be affected by childhood trauma, then in what ways will it change the individual, and how will it shape his personality? All these questions will be answered with this research.

Organisational Psychology Dissertation Topics

The role of industrial psychologists, also known as organisational psychologists, is to apply the principles of psychology to marketing, sales, management, administration, and human resources problems that organizations face.

Typical tasks that organisational psychologists perform include but are not limited to organisational development and analysis, training and development, employee evaluation and selection, policymaking, and more. The following dissertation topics are developed with respect to organisational psychology:

Topic 1: Research in industrial and organisational psychology from 1980 to 2015: Changes, choices, and trends

Research Aim: This research will compare the choices, trends, and changes in industrial and organisational psychology. The years compared will be 1990-2000, 2001-2010, and 2011-2020.

Topic 2: Computerized adaptive testing in industrial and organisational psychology

Research Aim: This research will explore the advanced technique i.e. computerized adaptive testing in organisational and industrial psychology.

Topic 3: Leader-member exchange as a moderating variable in the relationship between well-being and job security

Research Aim: This research will analyse the leader-member exchange as a variable that moderates the relationship between job security and well-being.

Topic 4: Intelligent leadership and leadership competencies – Developing a leadership framework for intelligent organizations

Research Aim: This research will understand the leadership competencies and intelligent leadership by analysing a leadership framework for intelligent organisations.

Topic 5: Burnout amongst executive staff: What are the main predictors? A review of literature from the UK and Europe.

Research Aim: This research will talk about the most pressing issue at workplaces right now, i.e. burnout, The study will include predictors of burnout by analysing literature from Europe and the UK.

Topic 6: Interior design and Industrial psychology – Investigating the role of employees' reward and motivation in shaping up the look of the factory or office

Research Aim: This research will understand the role of employee reward and motivation in shaping up workplaces with a focus on how interior design can create a working environment for employees that enhance their motivation levels.

Topic 7: Investigating the impact of strategic business partnering for business organisations – A case study of any UK based company

Research Aim: This research will talk about the impact of strategic business partnering for business organisations. You can provide us with the name of the company you would want to base your research on.

Topic 8: Social science strategies for managing diversity: Industrial and organisational opportunities to enhance inclusion

Research Aim: This research will interrogate an extremely important issue of psychology, i.e., diversity and inclusion at the workplace. The study will be conducted with respect to social science strategies.

Topic 9: Studying Influencing Factors in Effective Training Programs in Organisations

Research Aim: This research will talk about the various psychological factors that influence training programs organised by companies.

Topic 10: To understand international branding in light of the concept of Hofstede’s cultural dimensions

Research Aim: This research will aim to understand international branding in light of the concept of Hofstede’s cultural dimensions. The research will be descriptive in nature and make use of secondary data.

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Clinical Psychology Dissertation Topics

Clinical psychology can be defined as integrating clinical knowledge, theory, and science to understand and prevent psychologically based dysfunction and distress. Another aim of this branch of psychology is to promote personal development and behavioural well-being.

Clinical psychologists’ job responsibilities include conducting research, teaching, drug and alcohol treatment, assessing disorders, testifying legal settings, and creating and managing programs to prevent and treat social problems.

A well-written dissertation in this area of psychology can help students to fetch a high academic grade. Here are some interesting topics in this area:

Topic 1: Which clinical and demographic factors predict poor insight in individuals with obsessions and compulsions?

Research Aim: This research will discuss the clinical and demographic factors that predict poor insight within individuals with compulsions and obsessions.

Topic 2: Anger beliefs and behaviour; An Investigation of associations with Hypomania in a non-clinical sample

Research Aim: This research will investigate anger, behaviour, and beliefs concerning hypomania in a non-clinical sample.

Topic 3: Clinical psychologists’ experiences of accessing personal therapy during training: A narrative analysis

Research Aim: This research will discuss clinical psychologists’ experiences of accessing personal therapy during training. This will be a narrative analysis.

Topic 4: Exploring body image and identity in people who have had a heart or lung transplant

Research Aim: This research will help explore the identity and body image of people who have had a heart or a lung transplant. All related issues will be discussed in this study.

Topic 5: Psychosocial adjustment to renal failure and consequent dialysis

Research Aim: This research will explore psychosocial adjustment required during renal failure. The study will also discuss dialysis, which will result due to renal failure.

Topic 6: Experiences of psychosocial formulation within a bio-psychosocial model of care for psychosis

Research Aim: This research will talk about psychosocial formulation experiences within a bio-psychosocial model of care for psychosis.

Topic 7: Experiences and their association with eating behaviour in adulthood

Research Aim: This research will investigate the relationship between individual experiences and eating behaviour in adulthood. The study will furthermore present suggestions as to how these conditions can be improved.

Topic 8: Barriers to communicating about sexual dysfunction following heart trauma

Research Aim: This research will talk about an important issue i.e. sexual dysfunction. However, the study will be conducted concerning the issue being developed due to heart trauma.

Topic 9: Validation of a new scale assessing the use of strategies to change another person’s mood or emotional state

Research Aim: This research will investigate and try to validate a new scale that will be used to assess strategies for changing another person’s emotional state or mood.

Topic 10: Examining Major Depressive Disorder (MDD) within a cognitive framework

Research Aim: This research will investigate an important psychology issue, i.e. depression. Major Depressive Disorder (MDD) will be assessed with a cognitive framework.

Also Read: Construction Engineering Dissertation Topics

Cognitive Psychology Dissertation Topics

Cognitive Psychology can be defined as the study of mental processes such as thinking, creativity, problem solving, perception, memory, language use, and attention through neuropsychology, computer modeling, and experimentation.

Cognitive psychologists are primarily responsible for investigating how the human brain absorbs and interprets information at micro and macro levels. This area of psychology is broad. Therefore you will have many topic options to choose from. Please see below some titles if you are looking to base your dissertation on the field of cognitive psychology.

Topic 1: Adolescent perceptions and beliefs of proactive-reactive aggression explored through the social information processing model of aggression

Research Aim: This research will talk about various perceptions and beliefs of adolescents with respect to proactive-reactive aggression. These will be explored through the social information processing model of aggression.

Topic 2: Analyzing how cognitive flexibility is influenced by emotions

Research Aim: This research will analyze how emotions influence the cognitive flexibility of individuals.

Topic 3: Tractable cognition: The role of complexity theory in cognitive psychology

Research Aim: This research will discuss tractable cognition. The study will discuss the role of complexity theory in cognitive psychology.

Topic 4: Conflict monitoring across sensory modalities

Research Aim: This research will discuss conflict monitoring during sensory modalities. The study will talk about various conflict monitoring methods.

Topic 5: Familiarity and its effect on facial expression recognition?

Research Aim: This research will discuss the concept of familiarity and its impact on facial expression recognition.

Topic 6: Investigating the relationship between cognitive vulnerability and depression

Research Aim: This research will investigate the relationship between depression and cognitive vulnerability.

Topic 7: Effectiveness of mindfulness training on ratings of perceived stress, mindfulness, and well-being of adolescents enrolled in an international baccalaureate diploma program

Research Aim: This research will discuss the effectiveness of mindfulness training on ratings of well-being and perceived stress of adolescents. The participants of this research will be international baccalaureate diploma students.

Topic 8: Assessing the development of implicit intergroup cognition in relation to in-groups and out-groups: social learning or pre-specified?

Research Aim: This research will assess the development of implicit intergroup cognition with respect to out-groups and in-groups. The study will conclude whether this development classifies as social learning or is pre-specified.

Topic 9: Assessing the relationship between impaired social cognition, emotion, and anxiety disorders.

Research Aim: This research will discuss the relationship between emotion, anxiety disorders, and impaired social cognition.

Topic 10: Investigating the relationship between episodic memory and emotional memory

Research Aim: This research will investigate the relationship between emotional memory and episodic memory and the underlying causes.

Also Read : Project Management Dissertation Topics

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Social Psychology Dissertation Topics

This branch of psychology has gained tremendous importance in the world of academia in recent times. Essentially, it deals with social interactions, including their influence on the individuals and their origin.

According to Baron, Byrne, and Sulls (1989), “the scientific field seeks to understand the nature and causes of individual behaviour in social situations.”

Therefore, it will not be wrong to say that social psychology primarily investigates how human behaviour can influence other people and the surrounding social environment. Some relevant social psychology dissertation topics are listed below:

Topic 1: Cognitive, affective, and social psychological correlates of psychopathic personality traits in offenders and non-offenders

Research Aim: This research will address cognitive, affective, and social psychological correlations of psychopathic personality traits in offenders and non-offenders.

Topic 2: A social-psychological exploration of word-of-mouth traveller information in the digital age

Research Aim: This research will explore the word of mouth exchange of traveller information in today’s age with a social-psychological perspective.

Topic 3: Investigating the concept of contemporary social and cultural psychology

Research Aim: This research will investigate the concept of contemporary social and cultural psychology.

Topic 4: Methods for social psychological research: fundamental qualitative and fundamental quantitative methods.

Research Aim: This will be an interesting study. The research will explore two major social psychological research methods; fundamental qualitative method and fundamental quantitative method.

Topic 5: The impact of gender mistakes on various individual attitudes and behaviours that contribute to gender inequality

Research Aim: This research will explore the impact of gender issues on different individual attitudes and behaviours. Moreover, the study will assess their impact and contribution to increasing gender inequality.

Topic 6: Personality, passion, self-esteem and psychological well-being among junior elite athletes in the UK

Research Aim: This research will study the psychological well-being of junior athletes in the UK. This includes assessing their personality, passion, and self-esteem.

Topic 7: Mad, bad, or dangerous? Assessing changing social attitudes to mental illness through a study of magazine and TV advertising.

Research Aim: This research will assess the changing social attitudes to mental illness by studying TV and magazine advertising. The study will focus on the impact of these advertisements on the mental health of the audience.

Topic 8: Use of images of women in corporate website branding – The role of gender, marketing, and internet presence

Research Aim: This research will assess the use of women’s images in website branding. The study will evaluate and analyze the role of gender, marketing, and internet presence.

Topic 9: How the use of music can help to reduce crime rate – A quantitative study of underground tube stations in London

Research Aim: The study will focus on an ignored socio-psychological aspect i.e. music. The research will assess how music helps to reduce the crime rate. A quantitative study covering underground tube stations will be conducted.

Topic 10: The enduring legacy of cognitive dissonance

Research Aim: This research will talk about the history of cognitive dissonance. It will also discuss its enduring legacy.

Also Read: Sociology Dissertation Topics

Abnormal Psychology Dissertation Topics

The abnormal patterns of thoughts, emotions, and behaviour that may lead to mental disorders are studied under the abnormal psychology branch of psychology. But what is an abnormality, and who decides what abnormal behaviour is? Historically, societies have been quick to observe and tag individuals as abnormal when they encounter situations that they could not understand.

Abnormal psychologists are responsible for identifying the human characteristics that deviate from the norm. This branch of psychology can interest students who wish to explore unusual human behaviour and unusual conditions. Following topics on abnormal psychology can help to ease the dissertation topic selection process for your thesis project:

Topic 1: Assessing and Investigating the concepts of abnormality and mental health

Research Aim: This research will discuss the basics of abnormality and mental health. The literature review will cover the various mental health conditions and what leads them to these issues.

Topic 2: A neuropsychological investigation of frontal brain asymmetry in depression with comorbid anxiety

Research Aim: This research will investigate a neuropsychological issue, i.e., frontal brain asymmetry in depression with comorbid anxiety.

Topic 3: What is the relationship between children’s home routines and treatment for ADHD? A study of the literature

Research Aim: This research will talk about a common yet ignored issue, ADHD. The study will explore the relationship between children’s home routines and treatment procedures.

Topic 4: Investigating the relationship between depression and diet – A qualitative study of how the Mediterranean diet can help to lower depression levels

Research Aim: This research will investigate an interesting relationship – depression and diet. The study will also explore how the Mediterranean diet can help reduce levels of depression.

Topic 5: Promoting mental health and psychological wellbeing in children: A socio-cultural activity theory analysis of professional contributions and learning in a multidisciplinary team

Research Aim: This research will aim to promote mental health and psychological wellbeing in children. The study will be based on a socio-cultural activity theory analysis of professional contributions and learning in a multidisciplinary team.

Topic 6: A critical inquiry into the views of professionals working with families, parents, and children.

Research Aim: This research will help conduct a critical inquiry into the views of professionals working with parents, families, and children.

Topic 7: Exploring ways of managing stress and coping with poor mental health

Research Aim: This research will help to explore stress and coping issues amongst individuals with poor mental health.

Topic 8: The role of positive irrational beliefs in mental health & wellbeing

Research Aim: This research will talk about the positive role of irrational beliefs associated with mental health and wellbeing.

Topic 9: To understand and establish the relationship between social media websites and self-harm in adolescent females

Research Aim: This research will aim to understand and establish the relationship between social media websites and self-harm in adolescent females.

Topic 10: A biographical narrative study exploring mental ill-health through the life course

Research Aim: This will be a biographical narrative study that will explore the mental illness issues that may cause difficulties to lead the course of life.

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Developmental and Educational Psychology Dissertation Topics

According to Kendra Cherry (2001), “Educational psychology involves the study of how people learn, including topics such as student outcomes, the instructional process, individual differences in learning, gifted learners and learning disabilities.” This branch of psychology considers not only the learning process but also the social and emotional aspects of development.

Developmental and educational psychologists are responsible for designing professional development programmes, evaluating programmes and interventions, designing training programmes, consulting with groups and individuals, counselling, designing effective treatment programmes, assessing developmental learning and behavioural problems among individuals, diagnosing disabilities and disorders, and identifying and clarifying problems.

Here’s a list of developmental and educational psychology dissertation topics for you to choose from:

Topic 1: Investigating parents’ concerns with a child’s development: A Case Study

Research Aim: This research will investigate concerns of parents related to child development. A specific case will be examined in this research.

Topic 2: To examine the parent-child relationship issues

Research Aim: This research will explore the issues related to the parent-child bond. Solutions will also be provided as to how these should be tackled.

Topic 3: Managing a child’s difficult temperament or behaviour

Research Aim: This research will help parents understand how they can manage a child who has a difficult temperament.

Topic 4: How educational psychologists can assist a child with disabilities

Research Aim: This research will explore how educational psychologists help in assisting disabled children.

Topic 5: Exploring the causes of sibling rivalries in the family: Studying How These can Be Tackled.

Research Aim: This research will talk explores the causes behind sibling rivalries in families and will also suggest how these can be controlled.

Topic 6: Problems parents, teachers, and children may face in the transition from early childhood to school years

Research Aim: This study will explore issues and problems parents, teachers, and children face in the transition from early childhood to school years.

Topic 7: Exploring the impact of consultation on educational psychology service users, including pupils, teachers, and parents

Research Aim: This research will explore the impacts of consultation on educational psychology services which include pupils, teachers, and parents.

Topic 8: The development of the theory of mind in deaf, hard of hearing, and hearing preschool children

Research Aim: This research will talk about the developmental theory of mind in deaf people, hard of hearing, and hearing of preschool children.

Topic 9: Cultural differences and perceptions of autism among school psychologists

Research Aim: This research will talk about the cultural differences and perceptions of autism amongst school psychologists.

Topic 10: High school special education teachers’ use of positive behaviour: Effects of a behaviour prompting routine on specific praise rates

Research Aim: This research will discuss the use of positive behaviour by high school special education teachers. Furthermore, the dissertation will also study the impact of behaviour that prompts a routine for specific praise rates.

Important Notes:

As a psychology student looking to get good grades, it is essential to develop new ideas and experiment with existing psychology theories – i.e., to add value and interest to your research topic.

Psychology is vast and interrelated with so many other academic disciplines. That is why it is imperative to create a psychology dissertation topic that is particular, sound, and actually solves a practical problem that may be rampant in the field.

We can’t stress how important it is to develop a logical research topic based on your entire research. There are several significant downfalls to getting your topic wrong; your supervisor may not be interested in working on it, the topic has no academic creditability, the research may not make logical sense, and there is a possibility that the study is not viable.

This impacts your time and efforts in writing your dissertation as you may end up in the cycle of rejection at the initial stage of the dissertation. That is why we recommend reviewing existing research to develop a topic, taking advice from your supervisor, and even asking for help in this particular stage of your dissertation.

Keeping our advice in mind while developing a research topic will allow you to pick one of the best psychology dissertation topics that fulfil your requirement of writing a research paper and adds to the body of knowledge.

Therefore, it is recommended that when finalizing your dissertation topic, you read recently published literature to identify gaps in the research that you may help fill.

Remember- dissertation topics need to be unique, solve an identified problem, be logical, and be practically implemented. Please look at some of our sample psychology dissertation topics to get an idea for your own dissertation.

How to Structure your Psychology Dissertation

A well-structured dissertation can help students to achieve a high overall academic grade.

A Title Page
Acknowledgments
Declaration
Abstract: A summary of the research completed
Table of Contents
Introduction : This chapter includes the project rationale, research background, key research aims and objectives, and the research problems. An outline of the structure of a dissertation can also be added to this chapter.
Literature Review : This chapter presents relevant theories and frameworks by analyzing published and unpublished literature on the chosen research topic to address research questions . The purpose is to highlight and discuss the selected research area’s relative weaknesses and strengths while identifying any research gaps. Break down the topic and key terms that can positively impact your dissertation and your tutor.
Methodology : The data collection and analysis methods and techniques employed by the researcher are presented in the Methodology chapter, which usually includes research design , research philosophy, research limitations, code of conduct, ethical consideration, data collection methods, and data analysis strategy .
Findings and Analysis : Findings of the research are analyzed in detail under the Findings and Analysis chapter. All key findings/results are outlined in this chapter without interpreting the data or drawing any conclusions. It can be useful to include graphs, charts, and tables in this chapter to identify meaningful trends and relationships.
Discussion and Conclusion : The researcher presents his interpretation of the results in this chapter and states whether the research hypothesis has been verified or not. An essential aspect of this section is establishing the link between the results and evidence from the literature. Recommendations with regards to the implications of the findings and directions for the future may also be provided. Finally, a summary of the overall research, along with final judgments, opinions, and comments, must be included in the form of suggestions for improvement.
References : Make sure to complete this following your University’s requirements
Bibliography
Appendices : Any additional information, diagrams, and graphs used to complete the dissertation but not part of the dissertation should be included in the Appendices chapter. Essentially, the purpose is to expand the information/data.

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How To Write The Results/Findings Chapter

For quantitative studies (dissertations & theses).

By: Derek Jansen (MBA). Expert Reviewed By: Kerryn Warren (PhD) | July 2021

So, you’ve completed your quantitative data analysis and it’s time to report on your findings. But where do you start? In this post, we’ll walk you through the results chapter (also called the findings or analysis chapter), step by step, so that you can craft this section of your dissertation or thesis with confidence. If you’re looking for information regarding the results chapter for qualitative studies, you can find that here .

The results & analysis section in a dissertation

Overview: Quantitative Results Chapter

What exactly the results/findings/analysis chapter is
What you need to include in your results chapter
How to structure your results chapter
A few tips and tricks for writing top-notch chapter

What exactly is the results chapter?

The results chapter (also referred to as the findings or analysis chapter) is one of the most important chapters of your dissertation or thesis because it shows the reader what you’ve found in terms of the quantitative data you’ve collected. It presents the data using a clear text narrative, supported by tables, graphs and charts. In doing so, it also highlights any potential issues (such as outliers or unusual findings) you’ve come across.

But how’s that different from the discussion chapter?

Well, in the results chapter, you only present your statistical findings. Only the numbers, so to speak – no more, no less. Contrasted to this, in the discussion chapter , you interpret your findings and link them to prior research (i.e. your literature review), as well as your research objectives and research questions . In other words, the results chapter presents and describes the data, while the discussion chapter interprets the data.

Let’s look at an example.

In your results chapter, you may have a plot that shows how respondents to a survey responded: the numbers of respondents per category, for instance. You may also state whether this supports a hypothesis by using a p-value from a statistical test. But it is only in the discussion chapter where you will say why this is relevant or how it compares with the literature or the broader picture. So, in your results chapter, make sure that you don’t present anything other than the hard facts – this is not the place for subjectivity.

It’s worth mentioning that some universities prefer you to combine the results and discussion chapters. Even so, it is good practice to separate the results and discussion elements within the chapter, as this ensures your findings are fully described. Typically, though, the results and discussion chapters are split up in quantitative studies. If you’re unsure, chat with your research supervisor or chair to find out what their preference is.

The results and discussion chapter are typically split

What should you include in the results chapter?

Following your analysis, it’s likely you’ll have far more data than are necessary to include in your chapter. In all likelihood, you’ll have a mountain of SPSS or R output data, and it’s your job to decide what’s most relevant. You’ll need to cut through the noise and focus on the data that matters.

This doesn’t mean that those analyses were a waste of time – on the contrary, those analyses ensure that you have a good understanding of your dataset and how to interpret it. However, that doesn’t mean your reader or examiner needs to see the 165 histograms you created! Relevance is key.

How do I decide what’s relevant?

At this point, it can be difficult to strike a balance between what is and isn’t important. But the most important thing is to ensure your results reflect and align with the purpose of your study . So, you need to revisit your research aims, objectives and research questions and use these as a litmus test for relevance. Make sure that you refer back to these constantly when writing up your chapter so that you stay on track.

There must be alignment between your research aims objectives and questions

As a general guide, your results chapter will typically include the following:

Some demographic data about your sample
Reliability tests (if you used measurement scales)
Descriptive statistics
Inferential statistics (if your research objectives and questions require these)
Hypothesis tests (again, if your research objectives and questions require these)

We’ll discuss each of these points in more detail in the next section.

Importantly, your results chapter needs to lay the foundation for your discussion chapter . This means that, in your results chapter, you need to include all the data that you will use as the basis for your interpretation in the discussion chapter.

For example, if you plan to highlight the strong relationship between Variable X and Variable Y in your discussion chapter, you need to present the respective analysis in your results chapter – perhaps a correlation or regression analysis.

Need a helping hand?

How do I write the results chapter?

There are multiple steps involved in writing up the results chapter for your quantitative research. The exact number of steps applicable to you will vary from study to study and will depend on the nature of the research aims, objectives and research questions . However, we’ll outline the generic steps below.

Step 1 – Revisit your research questions

The first step in writing your results chapter is to revisit your research objectives and research questions . These will be (or at least, should be!) the driving force behind your results and discussion chapters, so you need to review them and then ask yourself which statistical analyses and tests (from your mountain of data) would specifically help you address these . For each research objective and research question, list the specific piece (or pieces) of analysis that address it.

At this stage, it’s also useful to think about the key points that you want to raise in your discussion chapter and note these down so that you have a clear reminder of which data points and analyses you want to highlight in the results chapter. Again, list your points and then list the specific piece of analysis that addresses each point.

Next, you should draw up a rough outline of how you plan to structure your chapter . Which analyses and statistical tests will you present and in what order? We’ll discuss the “standard structure” in more detail later, but it’s worth mentioning now that it’s always useful to draw up a rough outline before you start writing (this advice applies to any chapter).

Step 2 – Craft an overview introduction

As with all chapters in your dissertation or thesis, you should start your quantitative results chapter by providing a brief overview of what you’ll do in the chapter and why . For example, you’d explain that you will start by presenting demographic data to understand the representativeness of the sample, before moving onto X, Y and Z.

This section shouldn’t be lengthy – a paragraph or two maximum. Also, it’s a good idea to weave the research questions into this section so that there’s a golden thread that runs through the document.

Step 3 – Present the sample demographic data

The first set of data that you’ll present is an overview of the sample demographics – in other words, the demographics of your respondents.

For example:

What age range are they?
How is gender distributed?
How is ethnicity distributed?
What areas do the participants live in?

The purpose of this is to assess how representative the sample is of the broader population. This is important for the sake of the generalisability of the results. If your sample is not representative of the population, you will not be able to generalise your findings. This is not necessarily the end of the world, but it is a limitation you’ll need to acknowledge.

Of course, to make this representativeness assessment, you’ll need to have a clear view of the demographics of the population. So, make sure that you design your survey to capture the correct demographic information that you will compare your sample to.

But what if I’m not interested in generalisability?

Well, even if your purpose is not necessarily to extrapolate your findings to the broader population, understanding your sample will allow you to interpret your findings appropriately, considering who responded. In other words, it will help you contextualise your findings . For example, if 80% of your sample was aged over 65, this may be a significant contextual factor to consider when interpreting the data. Therefore, it’s important to understand and present the demographic data.

Step 4 – Review composite measures and the data “shape”.

Before you undertake any statistical analysis, you’ll need to do some checks to ensure that your data are suitable for the analysis methods and techniques you plan to use. If you try to analyse data that doesn’t meet the assumptions of a specific statistical technique, your results will be largely meaningless. Therefore, you may need to show that the methods and techniques you’ll use are “allowed”.

Most commonly, there are two areas you need to pay attention to:

#1: Composite measures

The first is when you have multiple scale-based measures that combine to capture one construct – this is called a composite measure . For example, you may have four Likert scale-based measures that (should) all measure the same thing, but in different ways. In other words, in a survey, these four scales should all receive similar ratings. This is called “ internal consistency ”.

Internal consistency is not guaranteed though (especially if you developed the measures yourself), so you need to assess the reliability of each composite measure using a test. Typically, Cronbach’s Alpha is a common test used to assess internal consistency – i.e., to show that the items you’re combining are more or less saying the same thing. A high alpha score means that your measure is internally consistent. A low alpha score means you may need to consider scrapping one or more of the measures.

#2: Data shape

The second matter that you should address early on in your results chapter is data shape. In other words, you need to assess whether the data in your set are symmetrical (i.e. normally distributed) or not, as this will directly impact what type of analyses you can use. For many common inferential tests such as T-tests or ANOVAs (we’ll discuss these a bit later), your data needs to be normally distributed. If it’s not, you’ll need to adjust your strategy and use alternative tests.

To assess the shape of the data, you’ll usually assess a variety of descriptive statistics (such as the mean, median and skewness), which is what we’ll look at next.

Step 5 – Present the descriptive statistics

Now that you’ve laid the foundation by discussing the representativeness of your sample, as well as the reliability of your measures and the shape of your data, you can get started with the actual statistical analysis. The first step is to present the descriptive statistics for your variables.

For scaled data, this usually includes statistics such as:

The mean – this is simply the mathematical average of a range of numbers.
The median – this is the midpoint in a range of numbers when the numbers are arranged in order.
The mode – this is the most commonly repeated number in the data set.
Standard deviation – this metric indicates how dispersed a range of numbers is. In other words, how close all the numbers are to the mean (the average).
Skewness – this indicates how symmetrical a range of numbers is. In other words, do they tend to cluster into a smooth bell curve shape in the middle of the graph (this is called a normal or parametric distribution), or do they lean to the left or right (this is called a non-normal or non-parametric distribution).
Kurtosis – this metric indicates whether the data are heavily or lightly-tailed, relative to the normal distribution. In other words, how peaked or flat the distribution is.

A large table that indicates all the above for multiple variables can be a very effective way to present your data economically. You can also use colour coding to help make the data more easily digestible.

For categorical data, where you show the percentage of people who chose or fit into a category, for instance, you can either just plain describe the percentages or numbers of people who responded to something or use graphs and charts (such as bar graphs and pie charts) to present your data in this section of the chapter.

When using figures, make sure that you label them simply and clearly , so that your reader can easily understand them. There’s nothing more frustrating than a graph that’s missing axis labels! Keep in mind that although you’ll be presenting charts and graphs, your text content needs to present a clear narrative that can stand on its own. In other words, don’t rely purely on your figures and tables to convey your key points: highlight the crucial trends and values in the text. Figures and tables should complement the writing, not carry it .

Depending on your research aims, objectives and research questions, you may stop your analysis at this point (i.e. descriptive statistics). However, if your study requires inferential statistics, then it’s time to deep dive into those .

Step 6 – Present the inferential statistics

Inferential statistics are used to make generalisations about a population , whereas descriptive statistics focus purely on the sample . Inferential statistical techniques, broadly speaking, can be broken down into two groups .

First, there are those that compare measurements between groups , such as t-tests (which measure differences between two groups) and ANOVAs (which measure differences between multiple groups). Second, there are techniques that assess the relationships between variables , such as correlation analysis and regression analysis. Within each of these, some tests can be used for normally distributed (parametric) data and some tests are designed specifically for use on non-parametric data.

There are a seemingly endless number of tests that you can use to crunch your data, so it’s easy to run down a rabbit hole and end up with piles of test data. Ultimately, the most important thing is to make sure that you adopt the tests and techniques that allow you to achieve your research objectives and answer your research questions .

In this section of the results chapter, you should try to make use of figures and visual components as effectively as possible. For example, if you present a correlation table, use colour coding to highlight the significance of the correlation values, or scatterplots to visually demonstrate what the trend is. The easier you make it for your reader to digest your findings, the more effectively you’ll be able to make your arguments in the next chapter.

make it easy for your reader to understand your quantitative results

Step 7 – Test your hypotheses

If your study requires it, the next stage is hypothesis testing. A hypothesis is a statement , often indicating a difference between groups or relationship between variables, that can be supported or rejected by a statistical test. However, not all studies will involve hypotheses (again, it depends on the research objectives), so don’t feel like you “must” present and test hypotheses just because you’re undertaking quantitative research.

The basic process for hypothesis testing is as follows:

Specify your null hypothesis (for example, “The chemical psilocybin has no effect on time perception).
Specify your alternative hypothesis (e.g., “The chemical psilocybin has an effect on time perception)
Set your significance level (this is usually 0.05)
Calculate your statistics and find your p-value (e.g., p=0.01)
Draw your conclusions (e.g., “The chemical psilocybin does have an effect on time perception”)

Finally, if the aim of your study is to develop and test a conceptual framework , this is the time to present it, following the testing of your hypotheses. While you don’t need to develop or discuss these findings further in the results chapter, indicating whether the tests (and their p-values) support or reject the hypotheses is crucial.

Step 8 – Provide a chapter summary

To wrap up your results chapter and transition to the discussion chapter, you should provide a brief summary of the key findings . “Brief” is the keyword here – much like the chapter introduction, this shouldn’t be lengthy – a paragraph or two maximum. Highlight the findings most relevant to your research objectives and research questions, and wrap it up.

Some final thoughts, tips and tricks

Now that you’ve got the essentials down, here are a few tips and tricks to make your quantitative results chapter shine:

When writing your results chapter, report your findings in the past tense . You’re talking about what you’ve found in your data, not what you are currently looking for or trying to find.
Structure your results chapter systematically and sequentially . If you had two experiments where findings from the one generated inputs into the other, report on them in order.
Make your own tables and graphs rather than copying and pasting them from statistical analysis programmes like SPSS. Check out the DataIsBeautiful reddit for some inspiration.
Once you’re done writing, review your work to make sure that you have provided enough information to answer your research questions , but also that you didn’t include superfluous information.

If you’ve got any questions about writing up the quantitative results chapter, please leave a comment below. If you’d like 1-on-1 assistance with your quantitative analysis and discussion, check out our hands-on coaching service , or book a free consultation with a friendly coach.

Psst… there’s more (for free)

This post is part of our dissertation mini-course, which covers everything you need to get started with your dissertation, thesis or research project.

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Home » Blog » Dissertation » Topics » Psychology » Quantitative » 99 Quantitative Psychology Dissertation Topics | Research Ideas

99 Quantitative Psychology Dissertation Topics | Research Ideas

By Adam Oct 12, 2023 in Psychology , Quantitative | No Comments

Quantitative psychology is a complicated yet sophisticated application of mathematical modeling of human behaviours. Measurement of human behaviour is a challenging task and requires critical analysis skills in addition to in-depth knowledge of human behaviour and patterns. A career in quantitative psychology can be extremely rewarding but requires hard work and extreme precision that can be attained with a combination of study and practice. Dissertation topics in quantitative psychology essentially cover mathematical aspects more than any other aspect and require researcher focus.

The following list of dissertation topics in quantitative psychology will help you choose one that is just right for you!

A list of quantitative psychology dissertation topics:

How can we measure depression and loneliness in an age of busy social media interaction- perspectives from the UK.

A comparative analysis of psychological factors contributing to obesity in developed and developing countries.

A quantitative assessment for partner violence in prisons in the UK.

A review of the effects of music therapy on emotional well-being in individuals with mental health disorders.

An analysis of the measurement tools for employee motivation in the manufacturing sector in the EU.

Assessing the effectiveness of cognitive-behavioral therapy in treating depression in the UK.

A review of the effectiveness of cognitive training programs in enhancing cognitive function in older adults.

Investigating the relationship between sleep duration and academic performance in college students: A meta-analysis.

The impact of school bullying on psychological well-being and academic performance: A longitudinal study.

The role of self-efficacy in predicting academic achievement: A meta-analytic review.

Investigating the role of quantitative methods in analyzing athlete performance and enhancing outcomes in sports psychology .

Exploring the effects of workplace bullying on employee well-being and job satisfaction: A meta-analysis.

Predicting academic performance using machine learning algorithms: A study on UK students.

A quantitative survey of gendered depression in the UK- trends and implications.

The influence of gender stereotypes on career aspirations and outcomes: A cross-cultural study.

A comparative analysis of mental health outcomes among healthcare professionals during and after the COVID-19 pandemic.

Examining the relationship between religiosity and mental health outcomes across different cultures.

An investigation into the relationship between socio-economic status and mental health outcomes in the UK.

A review of the effects of technology use on mental health in adolescents.

Investigating the association between childhood maltreatment and substance abuse: A meta-analysis.

Investigating the role of emotional intelligence in leadership effectiveness: A study of corporate executives.

Exploring the effects of workplace incivility on employee mental health and job satisfaction: A meta-analysis.

Is xenophobia measurable? The case of South Africa.

A review of the efficacy of virtual reality therapy in treating phobias and anxiety disorders.

High school science students and achievement of career of choice- a quantitative investigation from the UK.

Customer service trends and reasons for incivility- a quantitative assessment.

Behavioural genetics and quantitative psychology- exploring the link through a systematic literature review.

A quantitative assessment of teenage suicides and methodologies- evidence from the UK.

Measuring the impact of a violent mob culture on the decision to emigrate to safer neighborhoods in the UK- a quantitative exploration.

A review of the effects of physical exercise on mental health outcomes in individuals with schizophrenia.

Examining the influence of social media on body image dissatisfaction in young adults: A cross-cultural comparison.

Investigating the relationship between screen time and sleep quality in children and adolescents: A meta-analysis.

The effects of parental divorce on the psychological well-being of adult offspring: A longitudinal study.

Depression and scores- should testing be generic or specific?

Is gender still a relevant construct in job preferences in the UK? A quantitative investigation.

Exploring the relationship between gender identity and mental health outcomes in transgender individuals.

The effects of mindfulness meditation on stress reduction in UK healthcare professionals.

Exploring the integration of quantitative psychology in understanding criminal behavior and developing effective interventions.

Examining the effectiveness of positive psychology interventions in enhancing well-being and resilience.

The relationship between sleep quality and cognitive function among older adults in the UK.

A comparative analysis of mental health stigma in the UK and other developed countries.

The impact of neighborhood characteristics on mental health outcomes in urban settings: A cross-sectional analysis.

Investigating the association between social media usage and mental health among young adults in the UK.

The role of emotion regulation in the relationship between childhood trauma and adult psychopathology: A meta-analysis.

The relationship between childhood trauma and resilience: A quantitative study.

A review of the effectiveness of group therapy for individuals with social anxiety disorder.

A review of interventions for reducing anxiety disorders in school-aged children in the UK.

The relationship between social capital and mental health in community-dwelling older adults.

How do we determine practices that are good for ADHD children? A review.

A quantitative investigation of the impact of neuroscience on quantitative psychology.

Examining the psychological factors influencing consumer behavior in the UK retail industry.

The impact of stereotype threat on academic performance among marginalized student populations: A meta-analysis.

The effects of parental involvement on academic achievement among school-age children: A meta-analysis.

The role of early life adversity in the development of personality disorders: A longitudinal study.

The impact of cultural differences on psychological assessment measures in multicultural societies.

The impact of COVID-19 on psychological well-being and coping strategies in the UK.

The role and impact of quantitative methods in mixed methods studies- a literature-based study on applicability and effectiveness.

The effects of workplace diversity on team performance and innovation: A quantitative analysis.

How can quantitative psychology impact public administration in the UK? A study.

Exploring the relationship between personality and leadership effectiveness in organizational settings: A meta-analysis.

Examining the role of personality traits in predicting job satisfaction among UK employees.

The impact of socioeconomic factors on access to mental health services and outcomes: A cross-national analysis.

A comparative analysis of mental health outcomes among LGBTQ+ individuals in different cultural contexts.

A review of the use of neuroimaging techniques in studying brain abnormalities in psychiatric disorders.

An assessment of the quantitative change in racial acceptance in post-apartheid South Africa.

An investigation of Masters dissertation research designs in the UK- qualitative versus quantitative.

Examining the association between screen time and attention-deficit/hyperactivity disorder (ADHD) in children: A meta-analysis.

The psychological impact of long-term remote work on employees: A post-COVID-19 study.

The impact of peer victimization on psychological well-being and academic performance in adolescents: A longitudinal study.

The role of self-compassion in buffering the effects of perfectionism on mental health.

Exploring the effects of pandemic-related stressors on academic performance in college students.

The banking sector in the UK- assessing motivation and performance levels of relationship agents in a competitive environment.

Love for algebra and scope for future careers- a mixed methods study.

The influence of parental attachment styles on the development of emotional regulation in children: A comprehensive review.

A comparative analysis of mental health outcomes among individuals with different coping styles.

A review of the effects of online therapy for treating mental health disorders.

An analysis of the psychometric properties of commonly used intelligence tests.

The impact of early life stress on neurodevelopment and mental health outcomes: A longitudinal study.

A comparative analysis of cognitive decline in aging populations in developed and developing countries.

Low complexity and repetitive jobs- implications for job motivation and satisfaction.

Investigating the association between video game usage and aggression in adolescents: A longitudinal study.

The impact of childhood obesity on psychological well-being and academic performance: A longitudinal study.

The effects of exercise on cognitive function and academic performance in school-aged children.

The role of executive functioning in predicting academic achievement in children: A meta-analysis.

Investigating the relationship between social support and mental health outcomes in trauma survivors: A meta-analysis.

The effects of exposure to natural environments on mental health and well-being: A meta-analysis.

The effects of acculturation on mental health outcomes among international students: A longitudinal study.

Examining the influence of peer pressure on risk-taking behavior in adolescence: A cross-cultural analysis.

A comparative analysis of mental health outcomes among individuals with different coping mechanisms during the COVID-19 pandemic.

Exploring the association between acculturation and mental health outcomes among immigrants in the UK.

Investigating the effects of early childhood intervention programs on cognitive and socioemotional development.

Investigating the relationship between attachment styles and romantic relationship satisfaction: A meta-analysis.

An examination of the impact of exercise on mental health during the COVID-19 pandemic.

Tracing the advancements in psychology through number-crunching.

Investigating the association between childhood bullying victimization and long-term mental health outcomes: A longitudinal study.

Can happiness be measured quantitatively? An exploration.

A quantitative assessment of happiness arising from the act of giving.

A comparative analysis of resilience levels in pre- and post-COVID-19 populations.

The quantitative impact of child maltreatment on child growth- analysis from literature.

There you go. Use the list well and let us know if you have any comments or suggestions for our topics-related blog posts for the future or looking to get help with dissertation writing , send us an email at [email protected] .

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Introduction
FUNDAMENTALS

Qualitative, quantitative and mixed methods dissertations

What are they and which one should i choose.

In the sections that follow, we briefly describe the main characteristics of qualitative, quantitative and mixed methods dissertations. Rather than being exhaustive, the main goal is to highlight what these types of research are and what they involve. Whilst you read through each section, try and think about your own dissertation, and whether you think that one of these types of dissertation might be right for you. After reading about these three types of dissertation, we highlight some of the academic, personal and practical reasons why you may choose to take on one type over another.

Types of dissertation: Qualitative, quantitative and mixed methods dissertations
Choosing between types: Academic, personal and practical justifications

Types of dissertation

Whilst we describe the main characteristics of qualitative, quantitative and mixed methods dissertations, the Lærd Dissertation site currently focuses on helping guide you through quantitative dissertations , whether you are a student of the social sciences, psychology, education or business, or are studying medical or biological sciences, sports science, or another science-based degree. Nonetheless, you may still find our introductions to qualitative dissertations and mixed methods dissertations useful, if only to decide whether these types of dissertation are for you. We discuss quantitative dissertations , qualitative dissertations and mixed methods dissertations in turn:

Quantitative dissertations

When we use the word quantitative to describe quantitative dissertations , we do not simply mean that the dissertation will draw on quantitative research methods or statistical analysis techniques . Quantitative research takes a particular approach to theory , answering research questions and/or hypotheses , setting up a research strategy , making conclusions from results , and so forth. Classic routes that you can follow include replication-based studies , theory-driven research and data-driven dissertations . However, irrespective of the particular route that you adopt when taking on a quantitative dissertation, there are a number of core characteristics to quantitative dissertations:

They typically attempt to build on and/or test theories , whether adopting an original approach or an approach based on some kind of replication or extension .

They answer quantitative research questions and/or research (or null ) hypotheses .

They are mainly underpinned by positivist or post-positivist research paradigms .

They draw on one of four broad quantitative research designs (i.e., descriptive , experimental , quasi-experimental or relationship-based research designs).

They try to use probability sampling techniques , with the goal of making generalisations from the sample being studied to a wider population , although often end up applying non-probability sampling techniques .

They use research methods that generate quantitative data (e.g., data sets , laboratory-based methods , questionnaires/surveys , structured interviews , structured observation , etc.).

They draw heavily on statistical analysis techniques to examine the data collected, whether descriptive or inferential in nature.

They assess the quality of their findings in terms of their reliability , internal and external validity , and construct validity .

They report their findings using statements , data , tables and graphs that address each research question and/or hypothesis.

They make conclusions in line with the findings , research questions and/or hypotheses , and theories discussed in order to test and/or expand on existing theories, or providing insight for future theories.

If you choose to take on a quantitative dissertation , go to the Quantitative Dissertations part of Lærd Dissertation now. You will learn more about the characteristics of quantitative dissertations, as well as being able to choose between the three classic routes that are pursued in quantitative research: replication-based studies , theory-driven research and data-driven dissertations . Upon choosing your route, the Quantitative Dissertations part of Lærd Dissertation will help guide you through these routes, from topic idea to completed dissertation, as well as showing you how to write up quantitative dissertations.

Qualitative dissertations

Qualitative dissertations , like qualitative research in general, are often associated with qualitative research methods such as unstructured interviews, focus groups and participant observation. Whilst they do use a set of research methods that are not used in quantitative dissertations, qualitative research is much more than a choice between research methods. Qualitative research takes a particular approach towards the research process , the setting of research questions , the development and use of theory , the choice of research strategy , the way that findings are presented and discussed, and so forth. Overall, qualitative dissertations will be very different in approach, depending on the particular route that you adopt (e.g., case study research compared to ethnographies). Classic routes that you can follow include autoethnographies , case study research , ethnographies , grounded theory , narrative research and phenomenological research . However, irrespective of the route that you choose to follow, there are a number of broad characteristics to qualitative dissertations:

They follow an emergent design , meaning that the research process , and sometimes even the qualitative research questions that you tackle, often evolve during the dissertation process.

They use theory in a variety of ways - sometimes drawing on theory to help the research process; on other occasions, using theory to develop new theoretical insights ; sometimes both - but the goal is infrequently to test a particular theory from the outset.

They can be underpinned by one of a number of research paradigms (e.g., interpretivism , constructivism , critical theory , amongst many other research paradigms).

They follow research designs that heavily influence the choices you make throughout the research process, as well as the analysis and discussion of 'findings' (i.e., such research designs differ considerably depending on the route that is being followed, whether an autoethnography , case study research , ethnography , grounded theory , narrative research , phenomenological research , etc.).

They try to use theoretical sampling - a group of non-probability sampling techniques - with the goal of studying cases (i.e., people or organisations) that are most appropriate to answering their research questions.

They study people in-the-field (i.e., in natural settings ), often using multiple research methods , each of which generate qualitative data (e.g., unstructured interviews , focus groups , participant observation , etc.).

They interpret the qualitative data through the eyes and biases of the researcher , going back-and-forth through the data (i.e., an inductive process ) to identify themes or abstractions that build a holistic/gestalt picture of what is being studied.

They assess the quality of their findings in terms of their dependability , confirmability , conformability and transferability .

They present (and discuss ) their findings through personal accounts , case studies , narratives , and other means that identify themes or abstracts , processes , observations and contradictions , which help to address their research questions.

They discuss the theoretical insights arising from the findings in light of the research questions, from which tentative conclusions are made.

If you choose to take on a qualitative dissertation , you will be able to learn a little about appropriate research methods and sampling techniques in the Fundamentals section of Lærd Dissertation. However, we have not yet launched a dedicated section to qualitative dissertations within Lærd Dissertation. If this is something that you would like us to do sooner than later, please leave feedback .

Mixed methods dissertations

Mixed methods dissertations combine qualitative and quantitative approaches to research. Whilst they are increasingly used and have gained greater legitimacy, much less has been written about their components parts. There are a number of reasons why mixed methods dissertations are used, including the feeling that a research question can be better addressed by:

Collecting qualitative and quantitative data , and then analysing or interpreting that data, whether separately or by mixing it.

Conducting more than one research phase ; perhaps conducting qualitative research to explore an issue and uncover major themes, before using quantitative research to measure the relationships between the themes.

One of the problems (or challenges) of mixed methods dissertations is that qualitative and quantitative research, as you will have seen from the two previous sections, are very different in approach. In many respects, they are opposing approaches to research. Therefore, when taking on a mixed methods dissertation, you need to think particularly carefully about the goals of your research, and whether the qualitative or quantitative components (a) are more important in philosophical, theoretical and practical terms, and (b) should be combined or kept separate.

Again, as with qualitative dissertations, we have yet to launch a dedicated section of Lærd Dissertation to mixed methods dissertations . However, you will be able to learn about many of the quantitative aspects of doing a mixed methods dissertation in the Quantitative Dissertations part of Lærd Dissertation. You may even be able to follow this part of our site entirely if the only qualitative aspect of your mixed methods dissertation is the use of qualitative methods to help you explore an issue or uncover major themes, before performing quantitative research to examine such themes further. Nonetheless, if you would like to see a dedicated section to mixed methods dissertations sooner than later, please leave feedback .

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Directed Development: A Deconstructionist History of American Educational Psychology During the Progressive Era The central problem that this study examines is the processes by which psychology emerged as the keystone or "master science" of American education. It also seeks to elucidate upon the way in which educational psychology hems in the conceptual site of childhood, delimits the process of learning, and pedagogically fabricates student-children, while privileging particular ways of being and becoming. Author: Matthew D. Curtis, The University of Wisconsin - Madison.
Extending Reliability and Validity Evidence for Adjustment Scales for Preschool Intervention (ASPI) Scores Among At-Risk Rural Preschoolers The purpose of this study was to provide evidence of psychometric integrity of the Adjustment Scales for Preschool Intervention (ASPI; Lutz, Fantuzzo, & McDermott, 2002) scores using an at-risk rural preschool sample. Author: Caitlin Cells, The Pennsylvania State University.
Facilitating Collaboration Among School and Community Providers In Children's Mental Health This study describes the experiences of school and community mental health service providers and those who supervise them. Author: Holly J. Curran, Walden University.
A Failure to Self-Regulate? A Research Synthesis of the Cognitive-Behavioral Literatre Targeting the Improvement of Self-Regulation Among School-age Males This study sought to synthesize the empirical findings from the cognitive-behavioral intervention literature targeting the improvement of self-regulation among school-age males, ages 5-18. Author: Scott C. Young, Regent University.
A More Comprehensive Approach to Antibullying Programs: Interventions in the School and Home This dissertation proposes a pilot study for a comprehensive antibullying program highlighting successful features of previously implemented antibullying programs while addressing gaps and challenges, and placing particular emphasis on the element of parental involvement. Author: Johanna Mitchell, Capella University.
Motivational Profiles: Predicting Intention to Persist to Complete a Bachelor's Degree in a For-Profit University The topic of this study was student motivation and intention to graduate at a for-profit university. The research problem addressed is only 23% of bachelor’s degree-seeking students at for-profit universities persist to graduate within six years. Author: Carol Pugh, Northcentral University.
Perceived Stress and Self-Efficacy as Correlates of Satisfaction with the Dissertation Process Among Doctoral Students in Educational Psychology in Selected Universities in the United States The purpose of this study is to investigate the role of perceived stress and self-efficacy on student satisfaction with the dissertation process among doctoral students in educational psychology in selected universities in the United States. Author: Gabriela A. Dumitrescu, Andrews University.
Phenomenological Study of Young Adults' Perceived Effects of ADHD on Memory in Situations Involving Academics The purpose was to explore the perceptions of individuals with ADHD who experienced memory issues involving academics. This retrospective, qualitative study used Interpretive Phenomenological Analysis (IPA) for the research design. Author: Michael Pletan, Northcentral University.
The Relationship Between Non-Traditional Instructional Strategies and the Multicultural Competence of School Psychologists This study investigated the utility of non-traditional instructional strategies (e.g., cultural immersion, reflective journaling, case conceptualizations, other intimate learning experiences) as compared to traditional lecture-based instruction in school psychology multicultural training courses and workshops. Author: Jacqueline Kluger, City University of New York.
The Role of an Educational Psychology Course in Enhancing Neuroscience Literacy and Reducing Beliefs in Neuromyths in US and Korean Pre-Service Teachers This study evaluated the effect of an introductory educational psychology course for enhancing the neuroscience literacy and reducing beliefs in neuromyths of pre-service teachers in the US and Korea. Author: Soo-hyun Im, University of Minnesota.
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50+ Topics of Psychology Research

How to Find Psychology Research Topics for Your Student Paper

Kendra Cherry, MS, is a psychosocial rehabilitation specialist, psychology educator, and author of the "Everything Psychology Book."

Steven Gans, MD is board-certified in psychiatry and is an active supervisor, teacher, and mentor at Massachusetts General Hospital.

Are you searching for a great topic for your psychology paper ? Sometimes it seems like coming up with topics of psychology research is more challenging than the actual research and writing. Fortunately, there are plenty of great places to find inspiration and the following list contains just a few ideas to help get you started.

Finding a solid topic is one of the most important steps when writing any type of paper. It can be particularly important when you are writing a psychology research paper or essay. Psychology is such a broad topic, so you want to find a topic that allows you to adequately cover the subject without becoming overwhelmed with information.

In some cases, such as in a general psychology class, you might have the option to select any topic from within psychology's broad reach. Other instances, such as in an abnormal psychology course, might require you to write your paper on a specific subject such as a psychological disorder.

As you begin your search for a topic for your psychology paper, it is first important to consider the guidelines established by your instructor.

Topics of Psychology Research Within Specific Branches

The key to selecting a good topic for your psychology paper is to select something that is narrow enough to allow you to really focus on the subject, but not so narrow that it is difficult to find sources or information to write about.

One approach is to narrow your focus down to a subject within a specific branch of psychology. For example, you might start by deciding that you want to write a paper on some sort of social psychology topic. Next, you might narrow your focus down to how persuasion can be used to influence behavior.

Other social psychology topics you might consider include:

Prejudice and discrimination (i.e., homophobia, sexism, racism)
Social cognition
Person perception
Social control and cults
Persuasion , propaganda, and marketing
Attraction, romance, and love
Nonverbal communication
Prosocial behavior

Psychology Research Topics Involving a Disorder or Type of Therapy

Exploring a psychological disorder or a specific treatment modality can also be a good topic for a psychology paper. Some potential abnormal psychology topics include specific psychological disorders or particular treatment modalities, including:

Eating disorders
Borderline personality disorder
Seasonal affective disorder
Schizophrenia
Antisocial personality disorder
Profile a type of therapy (i.e., cognitive behavioral therapy, group therapy, psychoanalytic therapy)

Topics of Psychology Research Related to Human Cognition

Some of the possible topics you might explore in this area include thinking, language, intelligence, and decision-making. Other ideas might include:

False memories
Speech disorders
Problem-solving

Topics of Psychology Research Related to Human Development

In this area, you might opt to focus on issues pertinent to early childhood such as language development, social learning, or childhood attachment or you might instead opt to concentrate on issues that affect older adults such as dementia or Alzheimer's disease.

Some other topics you might consider include:

Language acquisition
Media violence and children
Learning disabilities
Gender roles
Child abuse
Prenatal development
Parenting styles
Aspects of the aging process

Do a Critique of Publications Involving Psychology Research Topics

One option is to consider writing a critique paper of a published psychology book or academic journal article. For example, you might write a critical analysis of Sigmund Freud's Interpretation of Dreams or you might evaluate a more recent book such as Philip Zimbardo's The Lucifer Effect: Understanding How Good People Turn Evil .

Professional and academic journals are also great places to find materials for a critique paper. Browse through the collection at your university library to find titles devoted to the subject that you are most interested in, then look through recent articles until you find one that grabs your attention.

Topics of Psychology Research Related to Famous Experiments

There have been many fascinating and groundbreaking experiments throughout the history of psychology, providing ample material for students looking for an interesting term paper topic. In your paper, you might choose to summarize the experiment, analyze the ethics of the research, or evaluate the implications of the study. Possible experiments that you might consider include:

The Milgram Obedience Experiment
The Stanford Prison Experiment
The Little Albert Experiment
Pavlov's Conditioning Experiments
The Asch Conformity Experiment
Harlow's Rhesus Monkey Experiments

Topics of Psychology Research About Historical Figures

One of the simplest ways to find a great topic is to choose an interesting person in the history of psychology and write a paper about them. Your paper might focus on many different elements of the individual's life, such as their biography, professional history, theories, or influence on psychology.

While this type of paper may be historical in nature, there is no need for this assignment to be dry or boring. Psychology is full of fascinating figures rife with intriguing stories and anecdotes. Consider such famous individuals as Sigmund Freud, B.F. Skinner, Harry Harlow, or one of the many other eminent psychologists .

Psychology Research Topics About a Specific Career

Another possible topic, depending on the course in which you are enrolled, is to write about specific career paths within the field of psychology . This type of paper is especially appropriate if you are exploring different subtopics or considering which area interests you the most.

In your paper, you might opt to explore the typical duties of a psychologist, how much people working in these fields typically earn, and the different employment options that are available.

Topics of Psychology Research Involving Case Studies

One potentially interesting idea is to write a psychology case study of a particular individual or group of people. In this type of paper, you will provide an in-depth analysis of your subject, including a thorough biography.

Generally, you will also assess the person, often using a major psychological theory such as Piaget's stages of cognitive development or Erikson's eight-stage theory of human development . It is also important to note that your paper doesn't necessarily have to be about someone you know personally.

In fact, many professors encourage students to write case studies on historical figures or fictional characters from books, television programs, or films.

Psychology Research Topics Involving Literature Reviews

Another possibility that would work well for a number of psychology courses is to do a literature review of a specific topic within psychology. A literature review involves finding a variety of sources on a particular subject, then summarizing and reporting on what these sources have to say about the topic.

Literature reviews are generally found in the introduction of journal articles and other psychology papers , but this type of analysis also works well for a full-scale psychology term paper.

Topics of Psychology Research Based on Your Own Study or Experiment

Many psychology courses require students to design an actual psychological study or perform some type of experiment. In some cases, students simply devise the study and then imagine the possible results that might occur. In other situations, you may actually have the opportunity to collect data, analyze your findings, and write up your results.

Finding a topic for your study can be difficult, but there are plenty of great ways to come up with intriguing ideas. Start by considering your own interests as well as subjects you have studied in the past.

Online sources, newspaper articles, books , journal articles, and even your own class textbook are all great places to start searching for topics for your experiments and psychology term papers. Before you begin, learn more about how to conduct a psychology experiment .

A Word From Verywell

After looking at this brief list of possible topics for psychology papers, it is easy to see that psychology is a very broad and diverse subject. While this variety makes it possible to find a topic that really catches your interest, it can sometimes make it very difficult for some students to select a good topic.

If you are still stumped by your assignment, ask your instructor for suggestions and consider a few from this list for inspiration.

Hockenbury, SE & Nolan, SA. Psychology. New York: Worth Publishers; 2014.
Santrock, JW. A Topical Approach to Lifespan Development. New York: McGraw-Hill Education; 2016.

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Comparatively Evaluating Potential Dissertation and Thesis Projects

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What is a theoretical framework?

Developing a theoretical framework for your dissertation is one of the key elements of a qualitative research project. Through writing your literature review, you are likely to have identified either a problem that need ‘fixing’ or a gap that your research may begin to fill.

The theoretical framework is your toolbox . In the toolbox are your handy tools: a set of theories, concepts, ideas and hypotheses that you will use to build a solution to the research problem or gap you have identified.

The methodology is the instruction manual: the procedure and steps you have taken, using your chosen tools, to tackle the research problem.

Why do I need a theoretical framework?

Developing a theoretical framework shows that you have thought critically about the different ways to approach your topic, and that you have made a well-reasoned and evidenced decision about which approach will work best. theoretical frameworks are also necessary for solving complex problems or issues from the literature, showing that you have the skills to think creatively and improvise to answer your research questions. they also allow researchers to establish new theories and approaches, that future research may go on to develop., how do i create a theoretical framework for my dissertation.

First, select your tools. You are likely to need a variety of tools in qualitative research – different theories, models or concepts – to help you tackle different parts of your research question.

An overview of what to include in a theoretical framework: theories, models, ideologies, concepts, assumptions and perspectives.

When deciding what tools would be best for the job of answering your research questions or problem, explore what existing research in your area has used. You may find that there is a ‘standard toolbox’ for qualitative research in your field that you can borrow from or apply to your own research.

You will need to justify why your chosen tools are best for the job of answering your research questions, at what stage they are most relevant, and how they relate to each other. Some theories or models will neatly fit together and appear in the toolboxes of other researchers. However, you may wish to incorporate a model or idea that is not typical for your research area – the ‘odd one out’ in your toolbox. If this is the case, make sure you justify and account for why it is useful to you, and look for ways that it can be used in partnership with the other tools you are using.

You should also be honest about limitations, or where you need to improvise (for example, if the ‘right’ tool or approach doesn’t exist in your area).

This video from the Skills Centre includes an overview and example of how you might create a theoretical framework for your dissertation:

How do I choose the 'right' approach?

When designing your framework and choosing what to include, it can often be difficult to know if you’ve chosen the ‘right’ approach for your research questions. One way to check this is to look for consistency between your objectives, the literature in your framework, and your overall ethos for the research. This means ensuring that the literature you have used not only contributes to answering your research objectives, but that you also use theories and models that are true to your beliefs as a researcher.

Reflecting on your values and your overall ambition for the project can be a helpful step in making these decisions, as it can help you to fully connect your methodology and methods to your research aims.

Should I reflect on my position as a researcher?

If you feel your position as a researcher has influenced your choice of methods or procedure in any way, the methodology is a good place to reflect on this. Positionality acknowledges that no researcher is entirely objective: we are all, to some extent, influenced by prior learning, experiences, knowledge, and personal biases. This is particularly true in qualitative research or practice-based research, where the student is acting as a researcher in their own workplace, where they are otherwise considered a practitioner/professional. It's also important to reflect on your positionality if you belong to the same community as your participants where this is the grounds for their involvement in the research (ie. you are a mature student interviewing other mature learners about their experences in higher education).

The following questions can help you to reflect on your positionality and gauge whether this is an important section to include in your dissertation (for some people, this section isn’t necessary or relevant):

How might my personal history influence how I approach the topic?
How am I positioned in relation to this knowledge? Am I being influenced by prior learning or knowledge from outside of this course?
How does my gender/social class/ ethnicity/ culture influence my positioning in relation to this topic?
Do I share any attributes with my participants? Are we part of a s hared community? How might this have influenced our relationship and my role in interviews/observations?
Am I invested in the outcomes on a personal level? Who is this research for and who will feel the benefits?

One option for qualitative projects is to write an extended literature review. This type of project does not require you to collect any new data. Instead, you should focus on synthesising a broad range of literature to offer a new perspective on a research problem or question.

The main difference between an extended literature review and a dissertation where primary data is collected, is in the presentation of the methodology, results and discussion sections. This is because extended literature reviews do not actively involve participants or primary data collection, so there is no need to outline a procedure for data collection (the methodology) or to present and interpret ‘data’ (in the form of interview transcripts, numerical data, observations etc.) You will have much more freedom to decide which sections of the dissertation should be combined, and whether new chapters or sections should be added.

Here is an overview of a common structure for an extended literature review:

A structure for the extended literature review, showing the results divided into multiple themed chapters.

Introduction

Provide background information and context to set the ‘backdrop’ for your project.
Explain the value and relevance of your research in this context. Outline what do you hope to contribute with your dissertation.
Clarify a specific area of focus.
Introduce your research aims (or problem) and objectives.

Literature review

You will need to write a short, overview literature review to introduce the main theories, concepts and key research areas that you will explore in your dissertation. This set of texts – which may be theoretical, research-based, practice-based or policies – form your theoretical framework. In other words, by bringing these texts together in the literature review, you are creating a lens that you can then apply to more focused examples or scenarios in your discussion chapters.

Methodology

As you will not be collecting primary data, your methodology will be quite different from a typical dissertation. You will need to set out the process and procedure you used to find and narrow down your literature. This is also known as a search strategy.

Including your search strategy

A search strategy explains how you have narrowed down your literature to identify key studies and areas of focus. This often takes the form of a search strategy table, included as an appendix at the end of the dissertation. If included, this section takes the place of the traditional 'methodology' section.

If you choose to include a search strategy table, you should also give an overview of your reading process in the main body of the dissertation. Think of this as a chronology of the practical steps you took and your justification for doing so at each stage, such as:

Your key terms, alternatives and synonyms, and any terms that you chose to exclude.
Your choice and combination of databases;
Your inclusion/exclusion criteria, when they were applied and why. This includes filters such as language of publication, date, and country of origin;
You should also explain which terms you combined to form search phrases and your use of Boolean searching (AND, OR, NOT);
Your use of citation searching (selecting articles from the bibliography of a chosen journal article to further your search).
Your use of any search models, such as PICO and SPIDER to help shape your approach.
Search strategy template A simple template for recording your literature searching. This can be included as an appendix to show your search strategy.

The discussion section of an extended literature review is the most flexible in terms of structure. Think of this section as a series of short case studies or ‘windows’ on your research. In this section you will apply the theoretical framework you formed in the literature review – a combination of theories, models and ideas that explain your approach to the topic – to a series of different examples and scenarios. These are usually presented as separate discussion ‘chapters’ in the dissertation, in an order that you feel best fits your argument.

Think about an order for these discussion sections or chapters that helps to tell the story of your research. One common approach is to structure these sections by common themes or concepts that help to draw your sources together. You might also opt for a chronological structure if your dissertation aims to show change or development over time. Another option is to deliberately show where there is a lack of chronology or narrative across your case studies, by ordering them in a fragmentary order! You will be able to reflect upon the structure of these chapters elsewhere in the dissertation, explaining and defending your decision in the methodology and conclusion.

A summary of your key findings – what you have concluded from your research, and how far you have been able to successfully answer your research questions.

Recommendations – for improvements to your own study, for future research in the area, and for your field more widely.
Emphasise your contributions to knowledge and what you have achieved.

Alternative structure

Depending on your research aims, and whether you are working with a case-study type approach (where each section of the dissertation considers a different example or concept through the lens established in your literature review), you might opt for one of the following structures:

Splitting the literature review across different chapters:

This structure allows you to pull apart the traditional literature review, introducing it little by little with each of your themed chapters. This approach works well for dissertations that attempt to show change or difference over time, as the relevant literature for that section or period can be introduced gradually to the reader.

Whichever structure you opt for, remember to explain and justify your approach. A marker will be interested in why you decided on your chosen structure, what it allows you to achieve/brings to the project and what alternatives you considered and rejected in the planning process. Here are some example sentence starters:

In qualitative studies, your results are often presented alongside the discussion, as it is difficult to include this data in a meaningful way without explanation and interpretation. In the dsicussion section, aim to structure your work thematically, moving through the key concepts or ideas that have emerged from your qualitative data. Use extracts from your data collection - interviews, focus groups, observations - to illustrate where these themes are most prominent, and refer back to the sources from your literature review to help draw conclusions.

Here's an example of how your data could be presented in paragraph format in this section:

Example from 'Reporting and discussing your findings ', Monash University .

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Home » Blog » Dissertation » Topics » Psychology » 80 Quantitative Psychology Research Topics

80 Quantitative Psychology Research Topics

FacebookXEmailWhatsAppRedditPinterestLinkedInIf you are a student seeking compelling research topics in Quantitative Psychology, you have come to the right place. Embarking on the exciting journey of selecting research topics for your undergraduate, master’s, or doctoral thesis in Quantitative Psychology? The field of Quantitative Psychology marries the art of statistical analysis with the science of human behavior, […]

If you are a student seeking compelling research topics in Quantitative Psychology, you have come to the right place. Embarking on the exciting journey of selecting research topics for your undergraduate, master’s, or doctoral thesis in Quantitative Psychology? The field of Quantitative Psychology marries the art of statistical analysis with the science of human behavior, providing a rich and dynamic landscape for research exploration. Whether you’re drawn to the intricacies of data analysis, the nuances of psychological measurement, or the intersections of mathematics and human cognition, this blog post is your gateway to a plethora of research ideas and opportunities.

Quantitative Psychology, often referred to as psychometrics, psychological measurement, and statistical psychology, is a subfield of psychology that focuses on the development and application of statistical methods and measurement techniques to study and understand human behavior, cognition, and personality.

A List Of Potential Research Topics In Quantitative Psychology:

Examining the measurement invariance of a depression scale across diverse cultural backgrounds.
Assessing the reliability and validity of a newly developed stress assessment tool.
Investigating the factors influencing consumer trust in online reviews and ratings.
Assessing the relationship between self-control and addictive behaviors.
Examining the relationship between peer attachment and substance abuse in adolescents.
Analyzing the factor structure of a personality inventory in a clinical population.
Examining the role of gender stereotypes in career choice and advancement in STEM fields.
Assessing the effectiveness of cognitive rehabilitation in traumatic brain injury patients.
Evaluating the relationship between personality traits and financial decision-making in adults.
Investigating the measurement equivalence of intelligence tests across different age groups.
Analyzing the impact of peer mentoring programs on college retention rates.
Analyzing the role of cognitive biases in decision-making processes related to gambling behavior.
Examining the measurement invariance of a self-report depression scale across gender and age groups.
Examining the association between parental involvement in education and student achievement.
Analyzing the effectiveness of online learning platforms on student achievement in mathematics.
Examining the relationship between sleep quality and cognitive functioning in older adults.
Examining the validity of a newly developed scale for assessing personality traits in adolescents.
Evaluating the role of cultural factors in shaping cognitive development in children.
Analyzing the longitudinal effects of early childhood interventions on cognitive development.
Analyzing the relationship between socioeconomic status and academic achievement among elementary school students.
Assessing the predictive validity of emotional intelligence in job performance in the corporate sector.
Assessing the impact of peer influence on adolescent substance use.
Examining the statistical methods for assessing longitudinal data in developmental psychology research.
Investigating the impact of mindfulness-based interventions on stress reduction in college students.
Investigating the effectiveness of art therapy in reducing symptoms of PTSD in veterans.
Evaluating the effectiveness of early intervention programs for children with autism spectrum disorder.
Examining the effectiveness of anger management programs in reducing aggression in adolescents.
Evaluating the effectiveness of cognitive training programs in improving memory in older adults.
Investigating the factors influencing online privacy concerns among internet users.
Analyzing the effectiveness of mental health apps in reducing symptoms of anxiety and depression.
Assessing the predictive validity of personality traits in predicting job satisfaction and turnover.
Examining the association between socioeconomic status and academic achievement in elementary school children.
Exploring the measurement invariance of personality assessments across different cultural groups.
Analyzing the predictive validity of emotional intelligence in leadership roles in the workplace.
Investigating the factors influencing employee engagement in remote work settings.
Examining the relationship between parental involvement in education and student academic achievement.
Assessing the impact of peer tutoring on reading comprehension in elementary school children.
Assessing the impact of social media use on body image dissatisfaction among adolescents.
Examining the effectiveness of group therapy for individuals with social anxiety disorder.
Investigating the relationship between personality traits and online dating behavior.
Investigating the predictors of technology acceptance among elderly individuals.
Assessing the effectiveness of interventions for reducing aggressive behavior in children with conduct disorders.
Assessing the role of emotional regulation strategies in coping with workplace stress.
Investigating the predictors of online gaming addiction among adolescents.
Utilizing quantitative analysis to explore the impact of community-based interventions on mental health outcomes in community psychology.
Investigating the relationship between personality traits and job satisfaction among IT professionals.
Assessing the role of emotional intelligence in leadership effectiveness in corporate settings.
Investigating the impact of online learning environments on student engagement and performance.
Assessing the effectiveness of group therapy in reducing symptoms of social anxiety disorder.
Analyzing the factor structure of a personality inventory in a non-clinical sample.
Examining the role of cultural factors in shaping body image ideals and eating behaviors.
Assessing the impact of gender stereotypes on career choices among college students.
Examining the influence of peer pressure on adolescent risk-taking behavior.
Investigating the impact of childhood trauma on adult attachment styles and relationships.
Examining the relationship between cognitive abilities and decision-making in older adults.
Assessing the role of attachment styles in romantic relationship satisfaction.
Investigating the predictors of successful weight loss maintenance in obese individuals.
Assessing the effectiveness of peer mentoring programs in promoting mental health among college students.
Analyzing the measurement equivalence of intelligence tests across different educational backgrounds.
Examining the association between parenting styles and adolescent substance abuse.
Examining the role of social support in coping with the stress of caregiving for elderly family members.
Analyzing the impact of social support on coping strategies in individuals with chronic illness.
Investigating the psychometric properties of a newly developed anxiety questionnaire for adolescents.
Investigating the predictors of resilience in individuals exposed to trauma.
Assessing the impact of mindfulness-based interventions on pain management in chronic pain patients.
Analyzing the longitudinal effects of early intervention programs on language development in children.
Examining the psychosocial factors influencing adherence to medical treatment regimens.
Applying quantitative techniques to investigate the heritability of specific behavioral traits in evolutionary psychology studies.
Examining the factors influencing consumer buying behavior in e-commerce.
Analyzing the effectiveness of cognitive-behavioral therapy in treating depression among the elderly.
Investigating the factors influencing cyberbullying perpetration among adolescents.
Investigating the relationship between social media use and body image dissatisfaction in adolescents.
Examining the relationship between personality traits and online dating preferences.
Analyzing the relationship between self-esteem and academic motivation in high school students.
Analyzing the longitudinal effects of a school-based character education program on moral development in children.
Evaluating the factors influencing decision-making in financial investment.
Examining the relationship between parenting styles and children’s emotional intelligence development.
Analyzing the effectiveness of positive psychology interventions in enhancing well-being.
Analyzing the effectiveness of school-based bullying prevention programs on reducing victimization.
Examining the impact of mindfulness-based interventions on reducing anxiety among college students.

In conclusion, the world of Quantitative Psychology offers a cornucopia of research opportunities across undergraduate, master’s, and doctoral levels. Whether you’re intrigued by the intricacies of statistical modeling, the art of psychological measurement, or the synthesis of mathematics and human behavior, you now have a list of thought-provoking research topics at your disposal. Embrace the exciting journey of research, explore these ideas, and embark on your path to contributing valuable insights to the field of Quantitative Psychology. The world of psychological research awaits your innovative contributions!

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Qualitative And Quantitative Research Methods In Psychology

Introduction, quantitative methods, examples of quantitative method, qualitative methods, examples of qualitative method, reference list.

Psychologists use different research methods to study sex and relationships.

These methods can be either quantitative or qualitative.

Quantitative research may consist of surveys, self-report questionnaires, measurements, experimental studies, correlational designs, laboratory and ethological studies, psychometric scales, etc.

Qualitative research gathers data through interviews, document and text analyses, observations, and other descriptive methods.

Both types of research may be used to conduct psychological research on sex and relationships.

Their usefulness will depend on the type of scientific question, the purpose of the study, and the population sample.

This work will describe quantitative and qualitative research methods, compare and contrast them, and evaluate the use of each technique in sexual psychology.

Quantitative research deals with collecting numerical data and measuring something in numerical terms.

The data can be measured through self-report questionnaires and surveys, interviews, probability sampling, observation, document review, vignettes, physiological measurements, etc.

A quantitative approach can be used to generalize study results to a wider population.

For example, Kinsey, Pomeroy, and Martin (1948; 1953) used a quantitative research method to investigate male and female sexuality. They conducted personal interviews with several thousands of men and women to explore their sexuality.

The Kinsey scale was used to measure the participants’ overall balance of sexual orientation (Kinsey, Pomeroy, and Martin, 1948; 1953).

Research showed that 46% of male participants self-reported sexual reactions to both sexes; 37% had homosexual experiences at least once (Kinsey et al. , 1948). Only 2 to 6% of females reported more or less exclusively homosexual experience, and 1 to 3% were solely homosexual (Kinsey et al ., 1953).

Another example of a quantitative approach is Gottman’s (1999) Love Lab. The researcher invited married couples to his laboratory to observe their interactions with the help of computers. Special devices were used to monitor the participants’ emotional expressions, record the number of times they occurred, and measure their heart rates.

Observations helped distinguish happy and stable couples from those who were unhappy, unstable, and more likely to divorce (Gottman, 1999).

The examples mentioned above demonstrate the main strengths of the quantitative approach: scientific objectivity, rapid analysis, and replication.

At the same time, such limitations as laboratory settings, volunteer bias, and lack of researcher expertise can negatively affect the analysis and data interpretation.

Qualitative research methods focus on the information that can be described with words only or visual data.

They are more interested in the meaning and quality of someone’s beliefs, attitudes, and perceptions.

There are several qualitative research methods, such as one-on-one interviews, focus groups, case study research, record keeping, qualitative observation, and text and visual analysis.

One can analyze qualitative data through thematic analysis, discourse analysis, and phenomenological analysis.

An example of phenomenological analysis is Taylor and Ussher’s (2001) research on the definition of sadomasochism (SM).

Researchers asked 24 self-identified sadomasochists to share their sexual experiences through interviews.

In 2004, Langdridge and Butt conducted a similar study, gathering stories about sadomasochism on BDSM (Bondage, discipline/domination, sadism, masochism) websites.

At the end of the study, the authors concluded that SM often mirrored power relationships in a society with dominance and submission, restraint and punishment for one’s own purpose, and gratitude (Langdridge and Butt, 2004).

The main strengths of qualitative research are a closer involvement of a researcher in the question, a better understanding of a target’s perceptions of sexual relationships, and the construction of sexual behavior.

At the same time, qualitative approaches are often subjective and biased; they cannot be applied to large-scale samples and require much time for data gathering, analysis, and interpretation.

To evaluate the usefulness of both methods for conducting psychological research on sex and relationships, one should first compare and contrast these two methods.

Quantitative methods collect data through questionnaires with closed questions (yes/no), quantified observations (for example, how many times participants expressed their emotional response), or physiological measurements (for example, heart rate).

Qualitative methods collect data through open-ended questions, case studies, or descriptive observational studies.

Quantitative approaches use descriptive and inferential statistics based on numbers and facts, while qualitative approaches utilize thematic or constructionist analysis, describing data with words.

The main aim of a quantitative approach is to make generalizations about a particular group or feature, while qualitative research aims to attain a better understanding of how people perceive or experience something.

Having compared both approaches, one can see that quantitative research is more useful when objective facts about sexuality need to be discovered. Moreover, it can be utilized to examine statistics of sexual harassment among representative samples, for example, non-White versus White Americans. It can also assume measurable and fixed reality.

However, quantitative research is not useful when studying cultural perceptions and biases. In such cases, qualitative approaches would fit better.

Quantitative research is more useful when applied to large-scale samples, while qualitative research can be applied to small, unrepresentative samples.

Qualitative research helps better understand human sexuality from the respondents’ perspectives and allows conducting inquiry in a subjective manner and natural setting, while the quantitative approach is better to perform in a lab setting.

Finally, the qualitative approach should not be used to test causal relationships and make predictions because it cannot be replicated due to subjectivity. A quantitative approach is replicable, which means that other researchers can repeat it in a new setting, and with other participants, making predictions is possible.

Having analyzed both approaches, one can conclude that quantitative research methods deal with numbers and statistics, while qualitative methods focus on meaning and verbal descriptions.

Quantitative research is more useful when facts and objective (free from bias) data are needed, for example, measuring trends in sexuality or physiological reactions to conflicts and harassment.

Qualitative research is more useful when cultural norms and perceptions need to be investigated, for example, African-American women’s perception of sexuality or sexual harassment.

At the same time, both types of research complement each other and often can be used concurrently.

To conclude, the choice of a research method will always depend on the context of a study, so psychologists need to identify their context first to choose the most suitable approach and attain the best results.

Gottman, J. M. (1999) The marriage clinic: a scientifically based marital therapy. New York: W. W. Norton.

Kinsey, A. C., Pomeroy, W.R. and Martin, C. E. (1948) Sexual behaviour in the human male. Bloomington, IN: Indiana University Press.

Kinsey, A. C., Pomeroy, W.R. and Martin, C. E. (1954) Sexual behaviour in the human female. Bloomington, IN: Indiana University Press.

Langdridge, D. and Butt, T. (2004) ‘A hermeneutic phenomenological investigation of the construction of sadomasochistic identities’, Sexualities, 7(1), pp. 31-53.

Taylor, G. and Ussher, J. M. (2001) ‘Making sense of S&M: a discourse analytic account’, Sexualities, 4(3), pp. 293-314.

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