Chapter

Inferential Meta-Themes in Organizational Science Research: Causal Inference, System Dynamics, and Computational Models

Industrial and Organizational Psychology

I. CONDUCTING AND COMMUNICATING RESEARCH IN INDUSTRIAL–ORGANIZATIONAL PSYCHOLOGY

  1. Richard P. DeShon PhD

Published Online: 26 SEP 2012

DOI: 10.1002/9781118133880.hop212002

Handbook of Psychology, Second Edition

Handbook of Psychology, Second Edition

How to Cite

P. DeShon, R. 2012. Inferential Meta-Themes in Organizational Science Research: Causal Inference, System Dynamics, and Computational Models. Handbook of Psychology, Second Edition. 12:I:2.

Author Information

  1. Michigan State University, Department of Psychology, East Lansing, Michigan, USA

Publication History

  1. Published Online: 26 SEP 2012

Abstract

Current theoretical, empirical, and methodological efforts in organizational science are increasingly concerned with causal inference and system dynamics. The strengths and weakness of recent approaches to causal inference are reviewed. It is demonstrated that causal inference techniques derived from both the graph-theoretic and potential outcomes perspectives provide only limited support for the majority of focal inferences in organizational science. System dynamic methods such as state space and computational modeling are then presented as viable inferential methods for advancing organizational science.

Keywords:

  • causality;
  • dynamics;
  • systems theory;
  • potential-outcomes;
  • computational modeling