Joel Koopman

Getting Explicit About the Implicit A Taxonomy of Implicit Measures and Guide for Their Use in Organizational Research

Accumulated evidence from social and cognitive psychology suggests that many behaviors are driven by processes operating outside of awareness, and an array of implicit measures to capture such processes have been developed. Despite their potential application, implicit measures have received relatively modest attention within the organizational sciences, due in part to barriers to entry and uncertainty about appropriate use of available measures. The current article is intended to serve as an implicit measurement “toolkit” for organizational scholars, and as such our goals are fourfold. First, we present theory critical to implicit measures, highlighting advantages of capturing implicit processes in organizational research. Second, we present a functional taxonomy of implicit measures (i.e., accessibility-based, association-based, and interpretation-based measures) and explicate assumptions and appropriate use of each. Third, we discuss key criteria to help researchers identify specific implicit measures most appropriate for their own work, including a discussion of principles for the psychometric validation of implicit measures. Fourth, we conclude by identifying avenues for impactful “next-generation” research within the organizational sciences that would benefit from the use of implicit measures.

Small sample mediation testing: misplaced confidence in bootstrapped confidence intervals.

Bootstrapping is an analytical tool commonly used in psychology to test the statistical significance of the indirect effect in mediation models. Bootstrapping proponents have particularly advocated for its use for samples of 20-80 cases. This advocacy has been heeded, especially in the Journal of Applied Psychology, as researchers are increasingly utilizing bootstrapping to test mediation with samples in this range. We discuss reasons to be concerned with this escalation, and in a simulation study focused specifically on this range of sample sizes, we demonstrate not only that bootstrapping has insufficient statistical power to provide a rigorous hypothesis test in most conditions but also that bootstrapping has a tendency to exhibit an inflated Type I error rate. We then extend our simulations to investigate an alternative empirical resampling method as well as a Bayesian approach and demonstrate that they exhibit comparable statistical power to bootstrapping in small samples without the associated inflated Type I error. Implications for researchers testing mediation hypotheses in small samples are presented. For researchers wishing to use these methods in their own research, we have provided R syntax in the online supplemental materials.

Emotional Mechanisms Linking Incivility at Work to Aggression and Withdrawal at Home

We report an experience-sampling study examining the spillover of workplace incivility on employees’ home lives. Specifically, we test a moderated mediation model whereby discrete emotions transmit the effects of workplace incivility to specific family behaviors at home. Fifty full-time employees from southeast Asia provided 363 observations over a 10-day period on workplace incivility and various emotional states. Daily reports of employees’ marital behaviors were provided by the spouses each evening. Results showed that state hostility mediated the link from workplace incivility to increased angry and withdrawn marital behaviors at home. Also, trait hostility served as a moderator such that the relationship between workplace incivility and hostile emotions was stronger for employees with high trait hostility.