Self-report personality validity
- Big Five Inventory reliability generalization meta-analysis (PMC, 2025), internal consistency alphas .73-.80
- Roberts & DelVecchio (2000), Psychological Bulletin, rank-order stability across the lifespan
- Watson (2014), Journal of Research in Personality, test-retest reliability
Predictive validity in selection and team contexts
- Barrick & Mount (1991), Personnel Psychology, Big Five and job performance, the seminal meta-analysis
- Schmidt & Hunter (1998), Psychological Bulletin, the foundational paper on selection-method validity
- Schmidt, Oh & Shaffer (2016), working paper, 100-year update to Schmidt & Hunter
- Sackett, Zhang, Berry & Lievens (2022), Journal of Applied Psychology, modern recalibration of selection-method validities
- Peeters, Van Tuijl, Rutte & Reymen (2006), European Journal of Personality, team-level Big Five and team performance
- Han, Krieger, Kim, Nixon & Greiff (2024), Personality and Individual Differences, updated meta-analysis showing weaker team-personality effects than 2006 estimates
- Bell (2007), Journal of Applied Psychology, deep-level composition variables in field teams
- Zell & Lesick (2022), Journal of Personality, synthesis of 54 meta-analyses (over 550,000 participants), with conscientiousness the strongest Big Five predictor of performance and emotional stability among the weakest
- McCrae & Costa (1989), Journal of Personality, mapping the Myers-Briggs onto four of the five Big Five domains
Forced-choice vs. Likert format
- Salgado & Táuriz (2014), European Journal of Work & Organizational Psychology, meta-analysis showing forced-choice formats yield higher operational validity than Likert
- Cao & Drasgow (2019), Frontiers in Psychology, faking resistance in forced-choice inventories
- Donovan, Dwight & Hurtz (2003), Journal of Business and Psychology, meta-analysis of social-desirability and faking (~0.3-0.4 SD shifts in high-stakes contexts)
- Allinson & Hayes (1996), Journal of Management Studies, the Cognitive Style Index, the analytical versus intuitive (dual-process) dimension
- Kahneman (2011), Thinking, Fast and Slow, the popular account of System 1 and System 2 thinking
Soft-skill construct frameworks
- AAC&U Oral Communication VALUE Rubric & Written Communication VALUE Rubric, faculty-consensus rubrics for communication proficiency
- Facione (1990), The Delphi Report, expert-consensus definition of critical thinking (with Toulmin's model of argument)
- House (1971), Administrative Science Quarterly, path-goal theory of leadership (direction-setting)
- Salas, Sims & Burke (2005), Small Group Research, "Is There a Big Five in Teamwork?"
- Pulakos, Arad, Donovan & Plamondon (2000), Journal of Applied Psychology, taxonomy of adaptive performance
- Davis (1983), Journal of Personality and Social Psychology, Interpersonal Reactivity Index (empathy)
- Eurich (2018), Harvard Business Review, internal vs. external self-awareness
- Jehn (1995), Administrative Science Quarterly, task vs. relationship conflict (Thomas-Kilmann conflict modes)
Self vs. observer perception gap
- Connelly & Ones (2010), Psychological Bulletin, meta-analysis of self-other agreement (n = 44,178)
- Vazire (2010), Journal of Personality and Social Psychology, Self-Other Knowledge Asymmetry model
- Oh, Wang & Mount (2011), Journal of Applied Psychology, incremental validity of observer ratings
- Funder (1995), Psychological Review, Realistic Accuracy Model
Composite prediction and structural rules
- Campbell & Fiske (1959), Psychological Bulletin, multitrait-multimethod matrix
- Meehl (1954), Clinical vs. Statistical Prediction
- Grove et al. (2000), meta-analysis of 136 studies on clinical vs. mechanical prediction
- Sackett & Lievens (2008), Annual Review of Psychology, personnel selection review, descriptive vs predictive distinction
Validation and measurement effects
- Merton (1948), The Antioch Review, the self-fulfilling and self-defeating ("suicidal") prophecy
- McCambridge, Witton & Elbourne (2014), Journal of Clinical Epidemiology, systematic review of the Hawthorne effect
Startup failure pattern research
- Gompers, Gornall, Kaplan & Strebulaev (2020), Journal of Financial Economics, survey of 885 VCs, the team ranked the most important investment factor and the leading cause of failures
- Wasserman, The Founder's Dilemmas (Harvard Business School), n ≈ 10,000 founders
- Wasserman (2008), Harvard Business Review summary
- Wasserman et al., equity-division working paper
- CB Insights, startup failure post-mortem collection
- Startup Genome, premature scaling report