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RMD Past Award Recipients
Sage Publications/RMD Distinguished Career Award
2025:
Paul Bliese
2024:
William Starbuck
2023:
James LeBreton
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
2025:
Bo Zhang
2024:
Chelsea Song
2023:
Zhenyu Yuan
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
2025:
Gabriel, S., Podsakoff, N., Trougakos, J., Scott, B., Sonnentag, S., Beal, D., Butts, M. (2019). Experience sampling methods: A discussion of critical trends and considerations for scholarly advancement.
Organizational Research Methods
,
22
, 969-1006.
2024:
Grodal, S., Anteby, M., & Holm, A. L. (2021). Achieving rigor in qualitative analysis: The role of active categorization in theory building.
Academy of Management Review, 46
, 591-612.
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
2024 (Qualitative):
Rockmann, K. W., & Vough, H. C. (2024). Using quotes to present claims: practices for the writing stages of qualitative research.
Organizational Research Methods,
27, 621-649.
2024 (Quantitative):
Valtonen, L., Mäkinen, S. J., & Kirjavainen, J. (2024). Advancing reproducibility and accountability of unsupervised machine learning in text mining: Importance of transparency in reporting preprocessing and algorithm selection.
Organizational Research Methods,
27(1), 88-113.
2023 (Qualitative):
Breslin, D. & Gatrell, C. (2023). Theorizing through literature reviews: The miner-prospector continuum.
Organizational Research Methods, 26, 139-167.
2023 (Quantitative):
Kreamer, L. M., Albritton, B. H., Tonidandel, S., & Rogelberg, S. G. (2023). The Use and Misuse of Organizational Research Methods ‘Best Practice’ Articles.
Organizational Research Methods, 26
, 387-408.
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
2025: Separating Misapplication from Method in Null Hypothesis Significance Testing
Lau Holgersen, Daniël Lakens, & Jesper Wulff
2024: Moderation in Response Surface Analysis: Current Shortcomings, Recommendations, and Software
Leander De Schutter, Marius Can Dijke, & Jeffery Edwards
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
Dan K. Hsu
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
Jason L. Huang
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
Noah Eisenkraft
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
Ben Hardy & Lucy R. Ford
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
Craig J. Russell
SAGE/RMD Best Student Paper Award
2025: Augmented Inference Making: Organizing the Chain of Thought Trials from Perception to Conception
Hassan Md Hamadi & Anna Brattström
2024: Improving Theory Testing with Nonlinear Control Variables
Andreas Salmen & Diemo Urbig
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
Nicolas Basratdoz
2016: A Critical Note on the Prevalent Use of the Standard Deviation as Diversity Measure
Kim De Meulenaere
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
Mingxiang Li
2012: Tales Left Tails Tell: A Natural Experiment Involving the Truncation of Nonignorable Missing Data
Richard Hunt & D. Lerner
2011: Using Propensity Score to Estimate Average Treatment Effect: A Review and a Practical Guidance
Mingxiang Li
2010: Assessing the Relative Model-Data Fit
Louis Tay, Usama S. Ali, Fritz Drasgow, & Bruce A. Williams
RMD Best PDW Award Winner
2025: Experimenting: Best Practices and Future Directions
Organized by Denise Falchetti & Margaret Ormiston
2024: Unsilencing images in qualitative research: Giving voice to photographs with two hands-on activities
Organized by Ace Beorchia & Anne Smith
Presented by Ben Alexander, Hans Hansen, Sara R. S. T. A. Elias, & Jaewoo Jung
2023: Endogeneity: Myths, Legends, and Facts – Second Annual
Organized by Elle Yoon & Daniel Gamache
Presented by John Busenbark, Lindsey Greco, Scott Johnson, & Michael Withers
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