Richard DeShon vita


PhD, Industrial & Organizational Psychology, University of Akron, 1993
MA, Industrial & Organizational Psychology, University of Akron, 1991
BA, Psychology, Ohio State University, 1988

Research Statement

Regulatory Dynamics My primary research program focuses on the dynamics of organizational behavior across multiple levels of analysis. Longitudinal data are increasingly important in the study of organizational behavior. However, the current models used to represent the patterns present in longitudinal data are largely limited to the study of recursive relations (i.e., HLM and SEM). This is inconsistent with what we know about the self-regulated functioning of organizations, teams, and individuals where feedback loops and cyclical processes are thought to be the norm. My current research utilizes multivariate time series analyses to explore the dynamic cycles underlying regulatory processes in individuals (i.e., motivation) and teams (i.e., coordination and interdependence). Multilevel Theory Although my primary research focus is on the functioning of dynamic systems within a particular level of analysis (e.g., individual motivation or team coordination), I am fascinated with the process through which aggregate functioning of micro-level units yields macro-level phenomena and behavior (i.e., emergence). In fact, it becomes difficult to ignore this process when using fully dynamic, multivariate models. I am currently developing a new approach to the study of multilevel phenomena in organizational science that allows one to see how the dynamic functioning of micro-units yields emergent phenomena at the macro-level of analysis. This approach also has strong implications for the current process of aggregating micro-unit responses to represent macro-level phenomena in organizational science. Methodology I enjoy exploring and evaluating new methods for conducting organizational science research. In this area my research clusters into two distinct approaches. First, I invest considerable energy into exploring the applicability and utility of models and research paradigms developed in physics, biology, engineering, and economics for improving organizational science research. Examples of these efforts are the application of diffusion models to the study of motivation and the application of power law dynamics to the study of team performance. Second, I continue striving to identify new measurement approaches that can be used productively in organizational science. My current approach explores individual and team cognitive representations of key organizational science constructs and the way respondents transform these representations into quantitative estimates.

Related Programs

Selected Publications

  • Park, G., Spitzmuller, M., & DeShon, R. P.
    Advancing our understanding of team motivation: Integrating conceptual approaches and content areas
    2013, Journal of Management, 20:
  • Braun, M. T., Kuljanin, G., & DeShon, R. P.
    Spurious results in the analysis of longitudinal data in organizational research
    2013, Organizational Research Methods1-29
  • DeShon, R. P.
    Inferential meta-themes in organizational science research: Causal inference, system dynamics, and computational models. In N. W. Schmitt, S. highhouse & I. Weiner (Eds.)
    2013, Handbook of psychology, 12:
  • DeShon, R. P.
    Multivariate dynamics in organizational science. In S. W. J. Kozlowski (Ed.)
    2013, The oxford handbook of organizational psychology, 1:117-142
  • Kuljanin, G., Braun, M. T., & DeShon, R. P.
    A cautionary note on modeling growth trends in longitudinal data
    2011, Psychological Methods, 16:249-264
  • Schmidt, A. M., & DeShon, R. P.
    The moderating effects of performance ambiguity on the relationship between self-efficacy and performance
    2010, Journal of Applied Psychology, 95:572-581
  • DeShon, R. P., & Rench, T. A.
    Clarifying the notion of self-regulation in organizational behavior
    2009, International review of industrial and organizational psychology, 24:217-248
  • Converse, P. D., & DeShon, R. P.
    A tale of two tasks: Reversing the self-regulatory resource depletion effect.
    2009, Journal of Applied Psychology, 94:1318-1324
  • Von Eye , A. & DeShon, R. P
    Characteristics of measures of directional dependence - Monte Carlo studies
    2008, Interstat, 14:1-33
  • Mathieu, J. E., DeShon, R. P., & Berg, D. D.
    Mediation inferences in organizational research: Then, now, and beyond
    2008, Organizational Research Methods, 11:202-223
  • DeShon, R. P., & Gillespie, J.
    A motivated action theory account of goal oriented behavior
    2005, Journal of Applied Psychology, 90:1096-1127
  • Morris, S. B., & DeShon, R. P.
    Combining effect size estimates in meta-analysis with repeated measures and independent groups designs
    2002, Psychological Methods, 7:105-125
  • DeShon, R. P.
    A cautionary note on measurement error corrections in structural equation models
    2001, Psychological Methods, 3:413-423
  • more publications