Psychology

I/O Psychology Thesis Topics: 150 Ideas With Scales and Analysis

150 original I/O psychology thesis and research topics in ten areas, each with suggested variables, a measure family and the analysis, plus feasibility notes for BS and MS students in Pakistan, India and the Philippines.

In this article
Short answer

A good I/O psychology thesis topic links two or three variables you can measure with an established scale, in a sample you can actually reach, using an analysis you can run (correlation, regression, t-test or ANOVA, mediation or moderation). Below are 150 original topic ideas in ten areas, each with suggested variables, a measure family and the analysis.

This page is for BS, MS and MPhil students in psychology, HRM and management, in Pakistan, India, the Philippines and elsewhere, who need a thesis or research-project topic in industrial and organisational psychology. Every idea comes with the variables, a measure family (the kind of scale you would use, with named scales where a well-known one exists) and the analysis that answers the question. You can use any idea as it is, or swap the sample (nurses, teachers, bank officers, call-centre agents, garment workers) to make it your own.

Two warnings before you start. First, a scale named here is not automatically free: check its licence in the companion page on scales for I/O psychology theses, where I recorded what each owner’s site said on 3 November 2026. In the tables, “(check)” means I found no owner statement on permission, so ask the author or publisher first. Second, your department’s rules on length, sample and approval come first.

How to choose a feasible thesis topic

Many thesis plans run into trouble for practical reasons rather than because the idea was weak. Use these five tests:

  1. Two to four variables. A predictor, an outcome and, at MS level, one mediator or moderator. Ten variables means ten weak chapters.
  2. A usable scale for each variable. An established scale with published reliability and clear permission beats a questionnaire you invent.
  3. A sample you can reach. If your uncle works in a bank, a bank sample is realistic; a sample of CEOs probably is not.
  4. An analysis you can run and explain. Your supervisor will ask why you chose it. The research methods guide shows how to match analysis to question.
  5. Something new. Newness rarely means a new theory. It usually means a known relationship tested in a new population, a new country, a new mediator, or with a better design (two sources, two time points).
I/O psychology thesis topic recipe: predictor, mediator, moderator and outcome with the workload, burnout and supervisor support example
Most I/O thesis topics fit this recipe: a predictor (X) linked to an outcome (Y), sometimes explained by a mediator (M) or changed by a moderator (W).

Feasibility for BS and MS students in Pakistan, India and the Philippines

Point BS / undergraduate thesis MS / MPhil thesis
Variables 2 or 3 (X and Y, maybe a group comparison) 3 to 5, including a mediator or moderator
Design One-time survey or group comparison Time-lagged survey, two sources (employee and supervisor), or a vignette experiment
Sample size Set by a power analysis; often around 100 to 200 for simple correlations Set by a power analysis; larger for CFA and mediation models
Analysis Correlation, regression, t-test, ANOVA Add CFA, mediation with bootstrapping, moderation with simple slopes
Scales Short, free scales (JSS facets, CBI, UWES-9, Mini-IPIP, PSS) Same, plus a translation and adaptation if needed
Feasibility of I/O thesis topics for BS vs MS students: variables, design, sample size and analysis
BS and MS theses differ mainly in the number of variables, the design and the analysis. A power analysis, not a habit, sets the sample size.

Country notes that matter in practice:

  • Language. Many respondents in Pakistan, India and the Philippines answer more accurately in Urdu, Hindi, a regional language or Filipino. If you translate, follow the back-translation steps in research methods for an I/O thesis and get the owner’s permission to translate.
  • Access. Sectors students can often reach: banks, hospitals, schools and universities, textile and garment factories, telecom and IT firms, government offices, and in the Philippines and India, call centres and BPO companies. Ask for a permission letter from HR before you collect data.
  • Sensitive topics. Harassment, bullying, CWB and mental health need extra ethical care, anonymous collection and a statement of where to get help. Pakistani students working on harassment can read workplace harassment law in Pakistan for the legal background.
  • Department rules. Required length, the approval route and whether a translated scale needs a separate pilot differ between universities. Check your handbook and your supervisor’s preferences before you finalise.

150 I/O psychology thesis topics, by area

Abbreviations: X = predictor, M = mediator, W = moderator, Y = outcome; TI = turnover intention. Scale names are explained, with licence status, on the scales page.

Ten areas of I/O psychology thesis topics with topic numbers 1 to 150
The ten areas and their topic numbers. Jump to the area that matches your interest and the sample you can reach.

1. Job satisfaction, commitment, engagement and turnover (1-15)

# Topic Variables Measure family Analysis
1 Job satisfaction and turnover intention among private bank officers Satisfaction (X), TI (Y) JSS; short TI scale Correlation, regression
2 Pay vs work-itself satisfaction as predictors of quitting intention in call centres JSS facets (X), TI (Y) JSS facets Multiple regression
3 Affective commitment between organisational support and TI in hospitals Support (X), commitment (M), TI (Y) SPOS (check); TCM (licence) Mediation
4 Job satisfaction of public vs private school teachers Sector (X), satisfaction (Y) JSS or MSQ short form t-test
5 Work engagement and self-rated performance in IT staff Engagement (X), performance (Y) UWES-9; performance scale (check) Regression
6 Job resources and engagement in BPO agents (the JD-R motivational path) Support, autonomy (X), engagement (Y) COPSOQ scales; UWES-9 Multiple regression
7 Engagement linking servant leadership and OCB Leadership (X), engagement (M), OCB (Y) SL-7 (check); UWES-9; OCB-C Mediation
8 Commitment components and recorded absence in textile mills TCM components (X), absence days (Y) TCM; HR records Multiple regression
9 Normative commitment in family-owned vs other firms Ownership (X), normative commitment (Y) TCM t-test
10 Job satisfaction across career stages of university faculty Career stage (X), satisfaction (Y) MSQ short form One-way ANOVA
11 Promotion satisfaction and TI among junior doctors Promotion facet (X), TI (Y) JSS promotion facet Correlation
12 Meaningful work and engagement in NGO staff Meaning (X), engagement (Y) Meaningful work scale (check); UWES-9 Regression
13 Perceived career growth and commitment of graduates in their first job Growth (X), affective commitment (Y) Career growth scale (check); TCM Regression
14 Global vs facet satisfaction: which predicts TI better? JIG, JDI facets (X), TI (Y) JDI and JIG Hierarchical regression
15 Single-item vs multi-item job satisfaction in nurses (a measurement study) One item vs JSS total JSS; one global item Correlation

Background: job satisfaction theories and measures and Meyer and Allen’s three-component model. Topic 15 can be compared with the meta-analysis of single-item measures by Wanous, Reichers and Hudy (1997).

2. Stress, burnout and well-being (16-30)

# Topic Variables Measure family Analysis
16 Workload and work-related burnout in public hospital nurses Workload (X), burnout (Y) QWI; CBI Correlation, regression
17 Supervisor support as a buffer between workload and burnout Workload (X), support (W), burnout (Y) QWI; COPSOQ support; CBI Moderation
18 Effort-reward imbalance and perceived stress in bank employees ERI (X), stress (Y) ERI questionnaire; PSS Regression
19 Demands, control and strain in factory workers (demand-control model) Demands (X), control (W), strain (Y) COPSOQ scales or JCQ (check) Moderation
20 Organisational constraints and negative emotions at work in customer service Constraints (X), emotions (Y) OCS; JAWS Correlation
21 Burnout in doctors, nurses and paramedics compared Occupation (X), burnout (Y) CBI One-way ANOVA
22 Client-related burnout in teachers vs bank tellers Occupation (X), client burnout (Y) CBI client scale t-test
23 Night shifts, perceived stress and sleep in call-centre agents Shift (X), stress (Y) PSS; sleep scale (check) t-test, correlation
24 Psychological capital as a buffer of stress in police officers Stress (X), PsyCap (W), well-being (Y) PSS; PCQ (research permission); JAWS Moderation
25 Self-efficacy and burnout in first-year teachers Self-efficacy (X), burnout (Y) GSE; CBI Regression
26 Interpersonal conflict at work and physical symptoms Conflict (X), symptoms (Y) ICAWS; PSI Correlation
27 Commuting time and stress in large-city employees Minutes commuting (X), stress (Y) PSS; one commute question Regression
28 Work-family conflict linking long hours and burnout Hours (X), WFC (M), burnout (Y) Netemeyer WFC (check); CBI Mediation
29 Contract vs permanent staff: affective well-being Contract type (X), well-being (Y) JAWS t-test
30 Part-time work hours and burnout in university students Hours (X), personal burnout (Y) CBI personal scale Regression

Theory for this area: the job demands-resources model (Bakker and Demerouti, 2007), the demand-control model (Karasek, 1979) and effort-reward imbalance (Siegrist, 1996); see occupational stress models and the JD-R model. The free CBI calculator scores the Copenhagen Burnout Inventory.

3. Leadership and supervision (31-45)

# Topic Variables Measure family Analysis
31 Ethical leadership and employee voice in banks Ethical leadership (X), voice (Y) Ethical Leadership Scale (check); voice scale (check) Regression
32 Abusive supervision and CWB, with trait anger as moderator Abuse (X), anger (W), CWB (Y) Tepper scale (check); trait anger scale (check); CWB-C Moderation
33 Abusive supervision and TI in hotels and restaurants Abuse (X), TI (Y) Tepper scale (check) Regression
34 LMX quality and job satisfaction in sales teams LMX (X), satisfaction (Y) LMX-7 (check); JSS Correlation
35 Servant leadership and OCB in schools Leadership (X), OCB (Y) SL-7 (check); OCB-C Regression
36 LMX linking ethical leadership and affective commitment Ethical leadership (X), LMX (M), commitment (Y) Ethical Leadership Scale, LMX-7 (check); TCM Mediation
37 Subordinates’ ratings of support from female vs male supervisors Supervisor gender (X), support (Y) COPSOQ support scale t-test
38 Authentic leadership and nurses’ psychological capital Leadership (X), PsyCap (Y) ALQ, PCQ (Mind Garden research permission) Regression
39 Empowering leadership and psychological empowerment Leadership (X), empowerment (Y) Spreitzer scale (check) Regression
40 Close monitoring by supervisors and intrinsic motivation Monitoring (X), motivation (Y) WDQ autonomy (check); motivation scale (check) Correlation
41 Ward-level psychological safety and error reporting Safety (X), reporting (Y) Edmondson scale (check) Aggregation (rwg, ICC), correlation
42 Supervisor incivility and job satisfaction of young professionals Incivility (X), satisfaction (Y) Workplace Incivility Scale (check); JSS Regression
43 Which leader behaviours Gen Z employees prefer (vignette study) Vignette style (X), ratings (Y) Vignettes the student writes Repeated-measures ANOVA
44 Perceived supervisor fairness and trust in management Fairness (X), trust (Y) Colquitt justice (check); trust scale (check) Regression
45 Leader emotional intelligence and team satisfaction Leader EI (X), team satisfaction (Y) WLEIS (check); JSS Team-level correlation

Background: leadership theories in I/O psychology, LMX theory and psychological safety at work. The MLQ is a common choice for transformational leadership, but it is sold per respondent, so budget for it or choose another construct.

4. Fairness, psychological contract and trust (46-60)

# Topic Variables Measure family Analysis
46 Four justice dimensions and job satisfaction in government departments Justice dimensions (X), satisfaction (Y) Colquitt justice (check); JSS Multiple regression
47 Procedural justice in appraisal and acceptance of ratings Procedural justice (X), acceptance (Y) Colquitt procedural (check) Regression
48 Distributive justice of pay and CWB Distributive justice (X), CWB (Y) Colquitt (check); CWB-C Correlation
49 Psychological contract breach and TI in IT firms Breach (X), TI (Y) Breach scale (check) Regression
50 Breach, negative emotions and CWB Breach (X), emotions (M), CWB (Y) Breach scale (check); JAWS; CWB-C Mediation
51 Transactional vs relational contract orientation in contract vs permanent staff Contract type (X), orientation (Y) Psychological contract inventory (check) t-test
52 Perceived organisational support and OCB Support (X), OCB (Y) SPOS (check); OCB-C Regression
53 Interactional justice and rudeness to customers in retail Justice (X), customer-directed CWB (Y) Colquitt (check); adapted items (check) Correlation
54 Fairness of promotion decisions and civil servants’ commitment Promotion fairness (X), commitment (Y) Colquitt (check); TCM Regression
55 Justice linking HR practices and engagement HR practices (X), justice (M), engagement (Y) HR practices scale (check); UWES-9 Mediation
56 Pay transparency and pay satisfaction Transparency (X), pay satisfaction (Y) JSS pay facet; transparency items Regression
57 Trust and commitment among layoff survivors Layoff exposure (X), trust, commitment (Y) Trust scale (check); TCM t-test
58 Applicant fairness reactions to AI vs human CV screening (vignette) Screening type (X), fairness (Y) Adapted procedural justice items (check) t-test
59 Organisational justice and nurses’ engagement Justice (X), engagement (Y) Colquitt (check); UWES-9 Regression
60 Psychological contract fulfilment and teachers’ OCB Fulfilment (X), OCB (Y) Contract scale (check); OCB-C Correlation

Background: organisational justice, the psychological contract and layoff survivor syndrome. The justice dimensions follow Colquitt (2001); perceived organisational support follows Eisenberger et al. (1986).

5. Citizenship, deviance and mistreatment (61-75)

# Topic Variables Measure family Analysis
61 Job satisfaction as a predictor of OCB-I vs OCB-O Satisfaction (X), OCB-I, OCB-O (Y) JSS; OCB-I/OCB-O scales (check) Regression
62 Organisational constraints, negative emotions and CWB Constraints (X), emotions (M), CWB (Y) OCS; JAWS; CWB-C Mediation
63 Self vs supervisor reports of CWB in a factory Rater source CWB-C (both versions) Correlation, paired t-test
64 Workplace bullying and TI in hospitals Bullying (X), TI (Y) NAQ-R (contact the group) Regression
65 Bullying and stress, buffered by co-worker support Bullying (X), support (W), stress (Y) NAQ-R; COPSOQ support; PSS Moderation
66 Incivility and job satisfaction of women in banking Incivility (X), satisfaction (Y) Workplace Incivility Scale (check); JSS Regression
67 Agreeableness, conscientiousness and CWB Traits (X), CWB (Y) Mini-IPIP; CWB-C Multiple regression
68 When extra work feels compulsory: citizenship pressure and stress Pressure (X), stress (Y) Citizenship pressure scale (check); PSS Regression
69 Are OCB and CWB opposites? A frequency-scale test OCB with CWB OCB-C; CWB-C Correlation
70 Boredom and personal internet use at work Boredom (X), cyberloafing (Y) Published scales (check) Correlation
71 Job satisfaction and withdrawal behaviour Satisfaction (X), withdrawal (Y) JSS; CWB-C withdrawal items Correlation
72 Knowledge of anti-harassment law and willingness to report Knowledge (X), reporting intention (Y) Short knowledge test the student writes; intention items Regression
73 Workplace ostracism and OCB Ostracism (X), OCB (Y) Ostracism scale (check); OCB-C Regression
74 Team cohesion and individual OCB in project teams Cohesion (X), OCB (Y) Cohesion scale (check); OCB-C Aggregation, correlation
75 Moral disengagement and unethical pro-organisational behaviour Disengagement (X), behaviour (Y) Published scales (check) Regression

Background: organizational citizenship behaviour (Organ, 1988) and counterproductive work behaviour (Robinson and Bennett, 1995), and toxic workplace signs.

6. Work design, remote work and technology (76-90)

# Topic Variables Measure family Analysis
76 Core job characteristics and internal motivation in bank tellers Characteristics (X), motivation (Y) JDS or WDQ (check) Regression; MPS
77 Autonomy and engagement in remote vs office workers Autonomy (X), work mode (W), engagement (Y) WDQ autonomy (check); UWES-9 Moderation
78 Days worked from home and work-family conflict Home days (X), WFC (Y) Netemeyer WFC (check) Correlation, ANOVA
79 Technostress and burnout in teachers Technostress (X), burnout (Y) Technostress scale (check); CBI Regression
80 After-hours work messages and exhaustion Message frequency (X), exhaustion (Y) CBI; frequency question Correlation
81 AI exposure, AI anxiety and job insecurity in banking and IT Exposure (X), anxiety (M), insecurity (Y) Published scales (check) Mediation
82 Perceived control and well-being of delivery and ride-hailing workers Control (X), well-being (Y) WDQ autonomy (check); JAWS Regression
83 Job crafting and engagement in nurses Crafting (X), engagement (Y) Job crafting scale (check); UWES-9 Regression
84 Task significance and motivation of hospital support staff Significance (X), motivation (Y) WDQ (check) Correlation
85 Electronic monitoring and trust in call centres Monitoring (X), trust (Y) Monitoring items; trust scale (check) Regression
86 Open-plan vs closed offices and perceived distraction Office type (X), distraction (Y) Distraction items (pilot first) t-test
87 Weekly hours and fatigue in garment workers Hours (X), personal burnout (Y) CBI personal scale Correlation
88 Feedback from the job and sales results Feedback (X), sales (Y) WDQ feedback (check); sales records Regression
89 Skill variety and boredom on assembly lines Variety (X), boredom (Y) WDQ (check); boredom scale (check) Correlation
90 Digital skills training and older employees’ self-efficacy Before vs after training GSE Paired t-test

Background: the job characteristics model (Hackman and Oldham, 1976) and the Work Design Questionnaire (Morgeson and Humphrey, 2006). The free motivating potential score calculator works for topic 76.

7. Personality and individual differences (91-105)

# Topic Variables Measure family Analysis
91 Big Five traits and supervisor-rated performance Traits (X), ratings (Y) Mini-IPIP or BFI-2 Multiple regression
92 Conscientiousness and OCB Conscientiousness (X), OCB (Y) Mini-IPIP; OCB-C Correlation
93 Emotional intelligence and rated leadership effectiveness EI (X), effectiveness (Y) WLEIS (check) Regression
94 Proactive personality and early career success of graduates Proactivity (X), career outcomes (Y) Proactive Personality Scale (check) Regression
95 Core self-evaluations and job satisfaction CSE (X), satisfaction (Y) CSE scale (check); JSS Correlation
96 Neuroticism and burnout in doctors Neuroticism (X), burnout (Y) Mini-IPIP; CBI Regression
97 Psychological capital and work engagement PsyCap (X), engagement (Y) PCQ (research permission); UWES-9 Regression
98 Self-efficacy and job search behaviour of unemployed graduates Self-efficacy (X), job search (Y) GSE; job search scale (check) Regression
99 Locus of control and perceived stress Locus of control (X), stress (Y) Locus of control scale (check); PSS Correlation
100 Gender and negotiation self-efficacy in MBA students Gender (X), self-efficacy (Y) Adapted self-efficacy scale (check) t-test
101 Extraversion and sales performance Extraversion (X), sales (Y) Mini-IPIP; sales records Correlation
102 Openness and training test scores Openness (X), scores (Y) Mini-IPIP Correlation
103 Grit and adjustment in the first job Grit (X), adjustment (Y) Grit scale (check) Regression
104 Resilience and well-being of frontline health workers Resilience (X), well-being (Y) Brief resilience scale (check); JAWS Regression
105 Faking on a personality test in a mock job application (experiment) Honest vs applicant instructions (X), scores (Y) Mini-IPIP Independent t-test

Background: personality tests at work and emotional intelligence at work. Mini-IPIP items are public domain (Donnellan et al., 2006), which makes area 7 the cheapest to run.

8. Selection, assessment and appraisal (106-120)

# Topic Variables Measure family Analysis
106 Inter-rater reliability of structured vs unstructured interview ratings Format (X), agreement (Y) Interview rating forms ICC
107 Content validity of a job knowledge test for bank tellers Expert ratings of items Expert panel form CVR, Aiken’s V
108 Applicant fairness reactions to online tests vs interviews Method (X), fairness (Y) Adapted procedural justice items (check) t-test
109 Halo in supervisor ratings across performance dimensions Dimension intercorrelations Appraisal forms Correlation
110 Leniency in self vs supervisor appraisal ratings Rater (X), rating level (Y) Appraisal forms Paired t-test
111 Item analysis of a company’s in-house aptitude test Item difficulty, discrimination Test data Item analysis
112 Assessor agreement in a short assessment-centre exercise Assessor ratings Rating forms ICC, rwg
113 Perceived fairness of 360-degree feedback and its acceptance Fairness (X), acceptance (Y) Adapted justice items (check) Regression
114 Adverse impact of a screening test by gender Selection rates by group Applicant records Four-fifths rule, impact ratio
115 Appraisal satisfaction and work motivation Appraisal satisfaction (X), motivation (Y) Appraisal satisfaction scale (check) Regression
116 Test anxiety and psychometric test scores of job applicants Anxiety (X), score (Y) Test anxiety scale (check) Correlation
117 University grades and first-year job performance Grades (X), ratings (Y) Records Correlation, range restriction correction
118 Shortening a company engagement survey without losing reliability Length (X), reliability (Y) Survey data Spearman-Brown
119 Rater training and rating accuracy (experiment with student raters) Training (X), accuracy (Y) Video rating task t-test
120 Recruiters’ ratings of CVs with local vs foreign degrees (vignette) Degree origin (X), hireability (Y) CV vignettes t-test or ANOVA

Tools for this area: intraclass correlation, content validity ratio, Aiken’s V, item analysis, adverse impact, range restriction and Spearman-Brown. Background: validity in employee selection and performance appraisal errors.

9. Training, careers and employability (121-135)

# Topic Variables Measure family Analysis
121 A training needs analysis in a hospital department (applied project) Skill gaps by job group Interviews plus a short survey Descriptive statistics, t-test
122 Training reactions and learning gains Reactions (X), test gain (Y) Reaction form; pre and post test Paired t-test, correlation
123 Supervisor support and transfer of training Support (X), transfer (Y) Transfer climate scale (check) Regression
124 Motivation to learn and training performance Motivation (X), scores (Y) Motivation to learn scale (check) Regression
125 Mentoring and career satisfaction of early-career women Mentoring (X), satisfaction (Y) Published scales (check) Regression
126 Career adaptability and perceived employability of final-year students Adaptability (X), employability (Y) Published scales (check) Regression
127 Internship quality and job search self-efficacy Internship quality (X), self-efficacy (Y) Internship items; GSE Regression
128 Sense of calling and teachers’ engagement Calling (X), engagement (Y) Calling scale (check); UWES-9 Regression
129 Perceived overqualification and TI Overqualification (X), TI (Y) Overqualification scale (check) Regression
130 Satisfaction, fairness and intention to work abroad among young professionals Satisfaction, justice (X), migration intention (Y) JSS; Colquitt (check); intention items Multiple regression
131 Self-efficacy of completers vs non-completers of online corporate courses Completion group (X), self-efficacy (Y) GSE t-test
132 Coaching sessions and goal progress Before vs after coaching Goal attainment ratings Paired t-test
133 Working students: hours, work-study conflict and grades Hours (X), conflict (M), grades (Y) Adapted WFC items (check) Mediation
134 Learning goal orientation and feedback seeking Orientation (X), feedback seeking (Y) Published scales (check) Correlation
135 Career plateau and commitment of mid-career bankers Plateau (X), commitment (Y) Plateau scale (check); TCM Regression

Background: training needs analysis and Kirkpatrick’s four levels of training evaluation.

10. Teams, culture, diversity and work-family (136-150)

# Topic Variables Measure family Analysis
136 Team psychological safety and learning behaviour in hospital units Safety (X), learning (Y) Edmondson scales (check) Aggregation (rwg, ICC), correlation
137 Conflict and satisfaction in student project teams Conflict (X), satisfaction (Y) Intragroup conflict scale (check) Correlation
138 Diversity climate and inclusion of minority employees Climate (X), inclusion (Y) Published scales (check) Regression
139 Gender and work-family conflict in dual-career couples Gender (X), WFC (Y) Netemeyer WFC (check) t-test
140 Family-to-work conflict and absence among married teachers FWC (X), absence (Y) Netemeyer FWC (check); records Correlation
141 Organisational culture type and job satisfaction Culture type (X), satisfaction (Y) Culture instrument (check); JSS ANOVA
142 Cohesion and sales performance of bank branches Cohesion (X), branch sales (Y) Cohesion scale (check); records Branch-level correlation
143 Communication quality and trust in virtual teams Communication (X), trust (Y) Published scales (check) Regression
144 Workplace spirituality and engagement Spirituality (X), engagement (Y) Spirituality scale (check); UWES-9 Regression
145 Collectivism and normative commitment Collectivism (X), normative commitment (Y) Individualism-collectivism scale (check); TCM Correlation
146 Family-supportive supervision and work-family conflict Supervision (X), WFC (Y) Published scale (check); Netemeyer WFC (check) Regression
147 Childcare load and TI among women employees Childcare hours (X), TI (Y) Background items; TI scale Regression
148 Team size and social loafing in group assignments Size (X), effort (Y) Social loafing measure (check) One-way ANOVA
149 Generational differences in work values Generation (X), values (Y) Work values scale (check) One-way ANOVA
150 Onboarding experience and newcomer commitment three months later Onboarding (X, time 1), commitment (Y, time 2) Onboarding items; TCM Regression (time-lagged)

Background: Tuckman’s stages of group development, Schein’s culture model and employee onboarding in the first 90 days. Work-family conflict scales follow Netemeyer, Boles and McMurrian (1996).

Which analysis for which topic?

Most topics above use one of six common analyses (the selection topics in area 8 add CVR, item analysis and adverse impact). The table shows how to tell them apart from the wording of your research question.

If your question says… Use Free tool or guide
“Is X related to Y?” Correlation Research methods guide
“Does X predict Y, beyond A and B?” Multiple or hierarchical regression Research methods guide
“Do two groups differ?” / “three or more?” t-test / one-way ANOVA Multiple comparisons calculator for many tests
“Does M explain why X affects Y?” Mediation with a bootstrapped indirect effect (Hayes, 2022) Research methods guide
“Does W change the X-Y link?” Moderation (interaction) with simple slopes Research methods guide
“Do team members agree enough to average?” rwg and ICC, then team-level analysis rwg and ICC calculator

Whatever the analysis, report reliability for each scale in your own sample (Cronbach’s alpha or omega), and for MS theses run a CFA and report composite reliability and AVE with the composite reliability and AVE calculator. Plan the sample with a power analysis (Cohen, 1992), and reduce common method bias with two sources or two time points (Podsakoff et al., 2003). The full steps are in research methods for an I/O thesis, and the analysis questions examiners like are in the research methods MCQs.

Thesis analysis chooser: correlation, regression, t-test or ANOVA, mediation, moderation, and rwg with ICC for team data
Six common analyses for thesis questions. Read your research question and pick the matching row.

The thesis and research guides in this series

Free calculators for thesis numbers: composite reliability and AVE, intraclass correlation, item analysis, Spearman-Brown prophecy, Copenhagen Burnout Inventory and rwg and ICC. All tools are listed on the free tools page.

How to write this in your proposal

Thesis proposal structure (one topic from this list)

  1. Title: name the variables and the sample (“Workload and burnout among public hospital nurses: the role of supervisor support”).
  2. Background and gap (1 page): what is known, and what is missing for your population or setting.
  3. Theory: one framework that explains the links (for example, the JD-R model for topic 17).
  4. Objectives and hypotheses: one hypothesis per arrow in your model.
  5. Method: design, sample and power analysis, scales with permission status, translation plan, ethics.
  6. Analysis plan: the test for each hypothesis, plus reliability and (MS) CFA.
  7. Timeline and limitations, including common method bias if you use one survey.

Model aim sentence: “This study examines whether workload predicts burnout among nurses in public hospitals and whether supervisor support weakens this relationship.”

Practice MCQs: choosing and planning a thesis topic

Practice questions written to the published syllabus, not past-paper questions.

  1. Which topic is the most feasible for a one-semester BS thesis?

    1. A ten-variable model of national culture across 20 countries
    2. Job satisfaction and turnover intention among bank officers in one city
    3. A five-year longitudinal study of CEO personality
    4. A new theory of motivation with a newly built 80-item scale
    Show answer

    B. Two variables, established scales and a reachable sample make it feasible. The others need too many variables, too much time, inaccessible participants or a new scale that itself needs a full validation study.

  2. “Does work-family conflict explain why long hours lead to burnout?” Here work-family conflict is a:

    1. Moderator
    2. Mediator
    3. Control variable
    4. Dependent variable
    Show answer

    B. “Explain why” signals a mediator: hours affect conflict, which affects burnout. A moderator would change the strength of the hours-burnout link; burnout is the dependent variable.

  3. A student compares burnout among doctors, nurses and paramedics. Which analysis fits?

    1. Independent-samples t-test
    2. One-way ANOVA
    3. Pearson correlation
    4. Mediation analysis
    Show answer

    B. Three or more groups on one continuous outcome call for one-way ANOVA with post hoc tests. A t-test compares only two groups; correlation and mediation answer different questions.

  4. A student averages nurses’ ratings of ward psychological safety to get a ward score. What must be checked first?

    1. Within-ward agreement (rwg) and ICC
    2. The Spearman-Brown prophecy for each item
    3. Adverse impact by gender
    4. Nothing
    Show answer

    A. Aggregation needs evidence that members agree and that wards differ. Spearman-Brown predicts reliability for a different test length; adverse impact is a selection issue.

  5. Which burnout measure on this page is free to use, according to its owner, with a citation?

    1. Maslach Burnout Inventory
    2. Copenhagen Burnout Inventory
    3. Multifactor Leadership Questionnaire
    4. GHQ-12
    Show answer

    B. Denmark’s NFA allows free use of the CBI with a citation. The MBI and MLQ are sold by Mind Garden (and the MLQ measures leadership, not burnout); the GHQ-12 needs permission.

  6. “Abusive supervision leads to CWB, especially for employees high in trait anger.” Which analysis tests the “especially” part?

    1. Moderation with an interaction term
    2. Paired t-test
    3. Item analysis
    4. Chi-square
    Show answer

    A. “Especially for” means the strength of the link depends on a third variable, which is moderation. The other options do not test whether one relationship changes with another variable.

  7. Which of these is NOT a good way to make a thesis topic new?

    1. Testing a known relationship in a new population
    2. Adding a mediator that explains the link
    3. Using two time points instead of one
    4. Copying a senior’s thesis and changing the city name
    Show answer

    D. Copying is plagiarism. A new population, a new mediator and a stronger design are all legitimate ways to add something new.

  8. Topic 150 measures onboarding at the start and commitment three months later. This design is:

    1. Cross-sectional
    2. Time-lagged
    3. Experimental
    4. Qualitative
    Show answer

    B. Measuring the predictor and outcome at different times is a time-lagged design. It is not cross-sectional (one time point), not an experiment (no random assignment) and not qualitative.

  9. Why are Mini-IPIP topics (area 7) the cheapest to run?

    1. The Mini-IPIP needs no reliability check
    2. IPIP items are in the public domain
    3. Personality does not need a sample
    4. Mind Garden gives it away free
    Show answer

    B. The IPIP site says its items are public domain, free for any use. You still need reliability checks and a sample, and the Mini-IPIP is not a Mind Garden product.

Free calculators for your thesis

Check reliability and agreement with the free composite reliability and AVE calculator, item analysis calculator, ICC calculator, rwg and ICC calculator, Spearman-Brown calculator and CBI calculator.

Questions students ask

What are good I/O psychology thesis topics for BS students?

Choose two or three variables with free scales and a sample you can reach: for example, job satisfaction and turnover intention in bank officers (topic 1), workload and burnout in nurses (topic 16), or Big Five traits and OCB (topic 92). Analyse with correlation, regression, a t-test or ANOVA.

What are I/O psychology research topics for an MS or MPhil in Pakistan?

Add a mediator or moderator and a stronger design to a known link: supervisor support as a buffer of workload in nurses (topic 17), negative emotions between constraints and CWB (topic 62), or engagement between servant leadership and OCB (topic 7). Plan a CFA and a power analysis.

Which thesis topics use free scales?

Topics built on the JSS, OCB-C, CWB-C, JAWS, OCS, QWI and ICAWS (free for non-commercial research if you share results), the CBI (free with citation), the Mini-IPIP (public domain), the UWES-9 (free academic use with data sharing) and the MSQ (Creative Commons non-commercial). See the scales page for the exact terms.

How do I know which analysis to use?

Read your question: “related” means correlation, “predict” means regression, “differ” means t-test or ANOVA, “explain why” means mediation, and “depends on” or “especially” means moderation. Team-level questions need agreement checks first.

Can I do a qualitative I/O thesis?

Yes, for example interviews on how bank managers handle harassment complaints, or a training needs analysis (topic 121). This page focuses on quantitative ideas; check whether your department accepts a qualitative thesis and what it expects.

How many participants do I need?

Use a power analysis based on the effect size you expect (Cohen, 1992), then add a margin for incomplete answers. The research methods guide shows the numbers for common analyses.

Practise on your phone

The free I/O Psychology Prep app has 410 explained
questions, flashcards and an exam countdown, and works offline. Get it on Google Play
· About the app

References

  1. Bakker, A. B., & Demerouti, E. (2007). The Job Demands-Resources model: State of the art. Journal of Managerial Psychology, 22(3), 309-328. https://doi.org/10.1108/02683940710733115
  2. Cohen, J. (1992). A power primer. Psychological Bulletin, 112(1), 155-159. https://doi.org/10.1037/0033-2909.112.1.155
  3. Colquitt, J. A. (2001). On the dimensionality of organizational justice: A construct validation of a measure. Journal of Applied Psychology, 86(3), 386-400. https://doi.org/10.1037/0021-9010.86.3.386
  4. Donnellan, M. B., Oswald, F. L., Baird, B. M., & Lucas, R. E. (2006). The Mini-IPIP scales: Tiny-yet-effective measures of the Big Five factors of personality. Psychological Assessment, 18(2), 192-203. https://doi.org/10.1037/1040-3590.18.2.192
  5. Eisenberger, R., Huntington, R., Hutchison, S., & Sowa, D. (1986). Perceived organizational support. Journal of Applied Psychology, 71(3), 500-507. https://doi.org/10.1037/0021-9010.71.3.500
  6. Hackman, J. R., & Oldham, G. R. (1976). Motivation through the design of work: Test of a theory. Organizational Behavior and Human Performance, 16(2), 250-279. https://doi.org/10.1016/0030-5073(76)90016-7
  7. Hayes, A. F. (2022). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach (3rd ed.). Guilford Press.
  8. Karasek, R. A. (1979). Job demands, job decision latitude, and mental strain: Implications for job redesign. Administrative Science Quarterly, 24(2), 285-308. https://doi.org/10.2307/2392498
  9. Morgeson, F. P., & Humphrey, S. E. (2006). The Work Design Questionnaire (WDQ): Developing and validating a comprehensive measure for assessing job design and the nature of work. Journal of Applied Psychology, 91(6), 1321-1339. https://doi.org/10.1037/0021-9010.91.6.1321
  10. Netemeyer, R. G., Boles, J. S., & McMurrian, R. (1996). Development and validation of work-family conflict and family-work conflict scales. Journal of Applied Psychology, 81(4), 400-410. https://doi.org/10.1037/0021-9010.81.4.400
  11. Organ, D. W. (1988). Organizational citizenship behavior: The good soldier syndrome. Lexington Books.
  12. Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879-903. https://doi.org/10.1037/0021-9010.88.5.879
  13. Robinson, S. L., & Bennett, R. J. (1995). A typology of deviant workplace behaviors: A multidimensional scaling study. Academy of Management Journal, 38(2), 555-572. https://doi.org/10.2307/256693
  14. Siegrist, J. (1996). Adverse health effects of high-effort/low-reward conditions. Journal of Occupational Health Psychology, 1(1), 27-41. https://doi.org/10.1037/1076-8998.1.1.27
  15. Wanous, J. P., Reichers, A. E., & Hudy, M. J. (1997). Overall job satisfaction: How good are single-item measures? Journal of Applied Psychology, 82(2), 247-252. https://doi.org/10.1037/0021-9010.82.2.247

This is the hub page for thesis and research guides on Shahzeb Speaks. For the wider field, start with the I/O psychology study guide, the work motivation theories pillar and the I/O psychology MCQs. For careers locally, see industrial psychology in Pakistan.

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Shahzeb Speaks

Muhammad Shahzeb Anwar is an Industrial-Organizational Psychologist based in Karachi, Pakistan. He writes about workplace psychology, consumer behaviour and the psychology behind brands.

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