For an updated list of award winners (and information about RMD awards), please see our new website.

Sage Publications/RMD Distinguished Career Award

• 2021: Francis Yammarino
• 2020: Jose M. Cortina
• 2019: Karen Locke
• 2018: Terri A. Scandura
• 2017: Chester A. Schriesheim
• 2016: Fritz Drasgow
• 2015: Robert Gephart
• 2014: Paul Spector
• 2013: Philip M. Podsakoff
• 2012: Herman Aguinis
• 2011: Dan Dalton
• 2010: Robert Vandenberg
• 2009: Eugene Stone-Romero
• 2008: Jeff Edwards
• 2007: Neal Schmitt
• 2006: Nam Raju
• 2005: Larry Williams
• 2004: Philip Bobko
• 2003: Larry James
• 2002: Frank Schmidt

Sage Publications/RMD/Lawrence R. James Early Career Achievement Award

• 2021: John Busenbark
• 2020: Aaron F. McKenny
• 2019: Allison S. Gabriel
• 2018: Christopher D. Nye
• 2017: George Banks
• 2016: Louis Tay
• 2015: Ernest O’Boyle
• 2014: Nathan Podsakoff
• 2013: Zhen Zhang
• 2012: Mike Zyphur
• 2011: Mo Wang
• 2010: Daniel Newman
• 2009: James LeBreton

Organizational Research Methods Best Paper Award

• 2020: Certo, S. T., Busenbark, J. R., Kalm, M., & LePine, J. A. (2020). Divided we fall: How ratios undermine research in strategic management. Organizational Research Methods, 23, 211-237.
• 2019: Becker, T. E., Robertson, M. M., & Vandenberg, R. J. (2019). Nonlinear transformations in organizational research: Possible problems and potential solutions. Organizational Research Methods, 22, 831-866.
• 2018: Putka, D. J., Beatty, A. S., & Reeder, M. C. (2018). Modern prediction methods: New perspectives on a common problem. Organizational Research Methods, 21, 689–732.
• 2017: Cortina, J. M., Green, J. P., Keeler, K. R., & Vandenberg, R. J. (2017). Degrees of freedom in SEM: Are we testing the models that we claim to test? Organizational Research Methods, 20, 350–378.
• 2017: Roulet, T. J., Gill, M. J., Stenger, S., & Gill, D. J. (2017). Reconsidering the value of covert research: The role of ambiguous consent in participant observation. Organizational Research Methods, 20, 487–517.
• 2016: Shaffer, J. A., DeGeest, D., & Li, A. (2016). Tackling the problem of construct proliferation: A guide to assessing the discriminant validity of conceptually related constructs. Organizational Research Methods, 19, 80-110.
• 2015: Cho, E., & Kim, S. (2015). Cronbach’s coefficient alpha: Well known but poorly understood. Organizational Research Methods, 18, 207-230.
• 2015: Walsh, I., Holton, J. A., Bailyn, L., Fernandez, W., Levina, N., & Glaser, B. (2015). What grounded theory is… A critically reflective conversation among scholars. Organizational Research Methods, 18, 581-599.
• 2014: Newman, D. A. (2014). Missing data: Five practical guidelines. Organizational Research Methods, 17, 372-411.
• 2013: Kozlowski, S. W. J., Chao, G. T., Grand, J. A., Braun, M. T., & Kuljanin, G. (2013). Advancing multilevel research design: Capturing the dynamics of emergence. Organizational Research Methods, 16, 581-615.
• 2012: Kruschke, J. K., Aguinis, H., & Joo, H. (2012). The time has come: Bayesian methods for data analysis in the organizational sciences. Organizational Research Methods, 15, 722-752.
• 2011: Cortina, J. M., & Landis, R. S. (2011). The earth is not round (p = .00). Organizational Research Methods, 14, 332-349.
• 2011: Edwards, J. R. (2011). The fallacy of formative measurement. Organizational Research Methods, 14, 370-388.
• 2010: Leavitt, K., Mitchell, T. R., & Peterson, J. (2010). Theory pruning: Strategies to reduce our dense theoretical landscape. Organizational Research Methods, 13, 644-667.

Sage Publications/Robert McDonald Advancement of Organizational Research Methodology Award

• 2021: DeSimone, J. A., Harms, P. D., & DeSimone, A. J. (2015). Best practice recommendations for data screening. Journal of Orgazniational Behavior, 36, 171-181.
• 2020: Newman, D. A. (2014). Missing data: Five practical guidelines. Organizational Research Methods, 17, 372-411.
• 2019: Preacher, K. J., Zhang, Z., & Zyphur, M. J. (2016). Multilevel structural equation models for assessing moderation within and across levels of analysis. Psychological Methods, 21, 189-205.
• 2018: Meade, A. W., & Craig, S. B. (2012). Identifying careless responses in survey data. Psychological Methods, 17, 437-455.
• 2017: Gioia, D. A., Corley, K. G., & Hamilton, A. L. (2012). Seeking qualitative rigor in inductive research: Notes on the Gioia methodology. Organizational Research Methods, 16, 15-31.
• 2016: Carlson, K. D., & Wu, J. (2012). The illusion of statistical control: Control variable practice in management research. Organizational Research Methods, 15, 413-435.
• 2015: Aguinis, H., Pierce, C. A., Bosco, F. A., & Muslin, I. S. (2009). First decade of Organizational Research Methods: Trends in design, measurement, and data-analysis topics. Organizational Research Methods, 12, 69-112.
• 2014: LeBreton, J. M., & Wittmer, J. L. S. (2008). Answers to 20 questions about interrater reliability and interrupter agreement. Organizational Research Methods, 11, 815-852.
• 2013: Edwards, J. R., & Lambert, L. S. (2007). Methods for integrating moderation and mediation: A general analytical framework using moderated path analysis. Psychological Methods, 12, 1-22.
• 2012: Harrison, D. A., & Klein, K. J. (2007). What’s the difference? Diversity constructs as separation, variety, or disparity in organizations. Academy of Management Review, 32, 1198-1228.
• 2011: Boyd, B. K., Gove, S., & Hitt, M. A. (2005). Construct measurement in strategy research: Reality or illusion? Strategic Management Journal, 26, 239-257.
• 2011: Boyd, B. K., Gove, S., & Hitt, M. A. (2005). Consequences of measurement problems in strategy research: The case of Amihud and Lev. Strategic Management Journal, 26, 367-375.
• 2010: Newman, D. A., Jacobs, R. R., & Bartram, D. (2007). Choosing the best method for local validity estimation: Relative accuracy of meta-analysis vs. a local study vs. Bayes-analysis. Journal of Applied Psychology, 92, 1394-1413.
• 2009: Aguinis, H., Beaty, J.C., Boik, R.J., & Pierce, C.A. (2005). Effect size and power in assessing moderating effects of categorical variables using multiple regression: A 30-year review. Journal of Applied Psychology, 90, 94-107.
• 2008: Edwards, J. R. (2002). Alternatives to difference scores: Polynomial regression analysis and response surface methodology. In F. Drasgow & N. W. Schmitt (Eds.), Advances in Measurement and Data Analysis (pp. 350-400).
• 2007: Edwards, J. R. (2001). Multidimensional constructs in organizational behavior research: An integrative analytical framework. Organizational Research Methods, 4, 144-192.
• 2006: Award withheld
• 2005: Vandenberg, R. J. & Lance, C. E. (2000). A review and synthesis of the measurement invariance literature: Suggestions, practices, and recommendations for organizational research. Organizational Research Methods, 3, 4-70.
• 2004: Cortina, J. M., Chen, G., & Dunlap, W. P. (2001). Testing interaction effects in LISREL: Examination and illustration of available procedures. Organizational Research Methods, 4, 324-360.
• 2003: Locke, K. & Golden-Biddle, K. (1997). Constructing opportunities for contribution: structuring intertextual coherence and ‘problematizing’ in organizational studies.Academy of Management Journal, 40, 1023-1062.
• 2002: James, L. (1998). Measurement of personality via conditional reasoning. Organizational Research Methods, 1, 131-163.
• 2001: Aguinis, H. & Stone-Romero, E. F. (1997). Methodological artifacts in moderated multiple regression and their effects on statistical power. Journal of Applied Psychology, 82, 192-206.