Sage Publications/RMD Distinguished Career Award
Sage Publications/RMD/Lawrence R. James Early Career Achievement Award
Sage Publications/Robert McDonald Advancement of Organizational Research Methodology Award
- 2023: Hill, A. D., Johnson, S. G., Greco, L. M., O’Boyle, E. H., & Walter, S. L. (2021). Endogeneity: A review and agenda for the methodology-practice divide affecting micro and macro research. Journal of Management, 47, 105-143.
- 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
- 2022 (Qualitative): Locke, K., Feldman, M., & Golden-Biddle, K. (2022). Coding Practices and Iterativity: Beyond Templates for Analyzing Qualitative Data. Organizational Research Methods, 25, 262–284.
- 2022 (Quantitative): Rönkkö, M., Aalto, E., Tenhunen, H., & Aguirre-Urreta, M. I. (2022). Eight Simple Guidelines for Improved Understanding of Transformations and Nonlinear Effects. Organizational Research Methods, 25, 48–87.
- 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.
Sage Publications/RMD Best Paper Award
- 2023: Testing Interaction Effects: Overcoming the Limitations of the Product Term
- Torsten Biemann & Jeremy Dawson
- 2022: Would I Lie to You? Using Markov Chains to Detect Careless Responding to Survey Data
- Torsten Biemann, Irmela Koch-Bayram, & Madleen Meier-Barthold
- 2021: Building Theories From Qualitative Interview Research: How Many Interviews Do I Need?
- Kasper Elmholdt, Michael J. Gill, & Jeppe A. Nielsen
- 2020: Experimental Design for Mediation Tests
- 2019: How much of a problem is omitted variable bias really? Examining strategy research with the ITCV
- John R. Busenbark, Daniel L. Gamache, Hyunjune (Elle) Yoon, S. Travis Certo, & Michael C. Withers
- 2018: Distinct Methods, Biased Nonetheless: Insufficient Effort Responding as a Potential Confound
- 2017: Insufficient Effort Responding as a Meaningful Construct and Partial Function of Latent Aggression
- Justin A. DeSimone, H. Kristl Davison, Jeremy L. Schoen, & Mark N. Bing
- 2016: Dichotomizing Network Data Can Change the Meaning of Actor Centrality
- 2015: On the Use of Spline Regression in the Study of Congruence in Organizational Research
- Jeff Edwards & Mark Perry
- 2014: Ooops, I’ve Got an Outlier in My Data – What Now? Using the Deviant Case Method for Theory Building
- Michael Gibbert, Lakshmi Naie, & Matthias Weiss
- 2013: The Chrysalis Effect: How Ugly Data Metamorphosize into Beautiful Articles
- Ernest O'Boyle, George banks, & Erik Gonzalez-Mulé
- 2012: When Often Becomes Always, and Sometimes Becomes Never: Miscomprehension in Surveys
- 2011: On the Problems of Ratio Measures as Dependent Variable OLS Regression
- Robert M. Wiseman & Seungho Choi
- 2010: The Unfolding Model of Turnover, Research Design, and Analysis Choices: A Monte Carlo Study
SAGE/RMD Best Student Paper Award
- 2023: Using Counterfactuals for Theory Building in Management and Organization Studies
- Gizem Kadioglu, Bareerah Hafeez Hoorani, & Michael Gibbert
- 2022: Heterogeneity in Effect Sizes: An Assessment of the Current State of the Literature
- Sven Kepes, Wenhao Wang, & Jose Cortina
- 2021: The Application of the Difference-in-Differences Model in Strategic Management Research
- Chi Hon (John) Li & Trevis S. Certo
- 2020: Comparing Two Approaches to Testing Within-Level Interactions Using Panel Data
- Manuel J. Vaulont & Zhen Zhang
- 2019: 'Meh!': Examining Midpoint Endorsement Habitude (MEH) in Survey Research
- Tianjun Sun, Bo Zhang, Wei Ming Phan, Fritz Drasgow, & Brent W. Roberts
- 2018: Advancing Qualitative Meta-Analyses: A Realist and a Constructivist Approach
- Stefanie Habersang & Markus Reihlen
- 2017: When ANOVA Gets It Wrong: A Re-introduction of the Regression Discontinuity Design
- 2016: A Critical Note on the Prevalent Use of the Standard Deviation as Diversity Measure
- 2015: Incorporating Effect Size Variation into Meta-Analytic Structural Equation Modelling
- Jia Yu, Patrick Downes, Kameron Carter, & Ernest O'Boyle
- 2014: Formative Measurement when Indicators Contain Error: Analysis of Ten Alternative Approaches
- Mikko Rönkkö & Miguel Aguirre-Urreta
- 2013: Quantile Regression and its Application in Inequality Studies
- 2012: Tales Left Tails Tell: A Natural Experiment Involving the Truncation of Nonignorable Missing Data
- 2011: Using Propensity Score to Estimate Average Treatment Effect: A Review and a Practical Guidance
- 2010: Assessing the Relative Model-Data Fit
- Louis Tay, Usama S. Ali, Fritz Drasgow, & Bruce A. Williams
RMD Best PDW Award Winner
- 2023: Endogeneity: Myths, Legends, and Facts – Second Annual
- Organized by Elle Yoon & Daniel Gamache
- Presented by John Busenbark, Lindsey Greco, Scott Johnson, & Michael Withers