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RMD Award Recipients
Sage Publications/RMD Distinguished Career Award
2022:
John Mathieu
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
2022:
Margaret Luciano
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
Sage Publications/Robert McDonald Advancement of Organizational Research Methodology Award
2022:
Porter, C. O. L. H., Outlaw, R., Gale, J. P., & Cho, T. S. (2019). The use of online panel data in management research: A review and recommendations.
Journal of Management, 45
, 319–344.
2021:
DeSimone, J. A., Harms, P. D., & DeSimone, A. J. (2015). Best practice recommendations for data screening.
Journal of Organizational 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.
Organizational Research Methods Best Paper Award
2021 (Qualitative):
O’Kane, P., Smith, A., & Lerman, M. P. (2021). Building transparency and trustworthiness in inductive research through computer-aided qualitative data analysis software.
Organizational Research Methods, 24
, 104–139.
2021 (Quantitative):
Saylors, R., & Trafimow, D. (2021). Why the increasing use of complex causal models is a problem: On the danger sophisticated theoretical narratives pose to truth.
Organizational Research Methods, 24
, 616–629.
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.
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