Herman Aguinis - Publications

Affiliations: 
Business George Washington University, Washington, DC, United States 

18 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2024 Aguinis H, Rupp DE, Glavas A. Corporate social responsibility and individual behaviour. Nature Human Behaviour. PMID 38233604 DOI: 10.1038/s41562-023-01802-7  0.524
2023 Aguinis H, Culpepper SA. Improving our understanding of predictive bias in testing. The Journal of Applied Psychology. PMID 37824269 DOI: 10.1037/apl0001152  0.504
2021 Bernerth JB, Aguinis H, Taylor EC. Detecting false identities: A solution to improve web-based surveys and research on leadership and health/well-being. Journal of Occupational Health Psychology. PMID 34292017 DOI: 10.1037/ocp0000281  0.54
2021 Van Iddekinge CH, Aguinis H, LeBreton JM, Mackey JD, DeOrtentiis PS. Assessing and interpreting interaction effects: A reply to Vancouver, Carlson, Dhanani, and Colton (2021). The Journal of Applied Psychology. 106: 476-488. PMID 33871272 DOI: 10.1037/apl0000883  0.47
2020 Aguinis H, Burgi-Tian J. Measuring performance during crises and beyond: The Performance Promoter Score. Business Horizons. PMID 32981944 DOI: 10.1016/j.bushor.2020.09.001  0.482
2019 Aguinis H, Vassar M, Wayant C. On reporting and interpreting statistical significance and p values in medical research. Bmj Evidence-Based Medicine. PMID 31732498 DOI: 10.1136/bmjebm-2019-111264  0.476
2019 Culpepper SA, Aguinis H, Kern JL, Millsap R. High-Stakes Testing Case Study: A Latent Variable Approach for Assessing Measurement and Prediction Invariance. Psychometrika. PMID 30671788 DOI: 10.1007/S11336-018-9649-2  0.542
2018 Aguinis H, Ji YH, Joo H. Gender productivity gap among star performers in STEM and other scientific fields. The Journal of Applied Psychology. PMID 30024197 DOI: 10.1037/Apl0000331  0.534
2017 Joo H, Aguinis H, Bradley KJ. Not All Nonnormal Distributions Are Created Equal: Improved Theoretical and Measurement Precision. The Journal of Applied Psychology. PMID 28333497 DOI: 10.1037/Apl0000214  0.511
2017 Cortina JM, Aguinis H, DeShon RP. Twilight of Dawn or of Evening? A Century of Research Methods in the Journal of Applied Psychology. The Journal of Applied Psychology. PMID 28150981 DOI: 10.1037/Apl0000163  0.548
2015 Bosco FA, Aguinis H, Singh K, Field JG, Pierce CA. Correlational effect size benchmarks. The Journal of Applied Psychology. 100: 431-49. PMID 25314367 DOI: 10.1037/A0038047  0.531
2012 Mathieu JE, Aguinis H, Culpepper SA, Chen G. Understanding and estimating the power to detect cross-level interaction effects in multilevel modeling. The Journal of Applied Psychology. 97: 951-66. PMID 22582726 DOI: 10.1037/A0028380  0.508
2011 Culpepper SA, Aguinis H. Using analysis of covariance (ANCOVA) with fallible covariates. Psychological Methods. 16: 166-78. PMID 21517178 DOI: 10.1037/A0023355  0.514
2010 Aguinis H, Culpepper SA, Pierce CA. Revival of test bias research in preemployment testing. The Journal of Applied Psychology. 95: 648-80. PMID 20604587 DOI: 10.1037/A0018714  0.524
2009 Aguinis H, Kraiger K. Benefits of training and development for individuals and teams, organizations, and society. Annual Review of Psychology. 60: 451-74. PMID 18976113 DOI: 10.1146/Annurev.Psych.60.110707.163505  0.458
2008 Cascio WF, Aguinis H. Research in industrial and organizational psychology from 1963 to 2007: changes, choices, and trends. The Journal of Applied Psychology. 93: 1062-81. PMID 18808226 DOI: 10.1037/0021-9010.93.5.1062  0.519
2005 Farmer SM, Aguinis H. Accounting for subordinate perceptions of supervisor power: an identity-dependence model. The Journal of Applied Psychology. 90: 1069-83. PMID 16316266 DOI: 10.1037/0021-9010.90.6.1069  0.473
2005 Aguinis H, Beaty JC, Boik RJ, Pierce CA. Effect size and power in assessing moderating effects of categorical variables using multiple regression: a 30-year review. The Journal of Applied Psychology. 90: 94-107. PMID 15641892 DOI: 10.1037/0021-9010.90.1.94  0.532
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