Keith Leavitt

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.

Theory Pruning: Strategies to Reduce Our Dense Theoretical Landscape

The current article presents a systematic approach to theory pruning (defined here as hypothesis specification and study design intended to bound and reduce theory). First, we argue that research that limits theory is underrepresented in the organizational sciences, erring overwhelmingly on the side of confirmatory null hypothesis testing. Second, we propose criteria for determining comparability, deciding when it is appropriate to test theories or parts of theories against one another. Third, we suggest hypotheses or questions for testing competing theories. Finally, we revisit the spirit of ‘‘strong inference.’’ We present reductionist strategies appropriate for the organizational sciences, which extend beyond traditional approaches of ‘‘critical’’ comparisons between whole theories. We conclude with a discussion of strong inference in organizational science and how theory pruning can help in that pursuit.

Automatic ethics: the effects of implicit assumptions and contextual cues on moral behavior.

We empirically examine the reflexive or automatic aspects of moral decision making. To begin, we develop and validate a measure of an individuals implicit assumption regarding the inherent morality of business. Then, using an in-basket exercise, we demonstrate that an implicit assumption that business is inherently moral impacts day-to-day business decisions and interacts with contextual cues to shape moral behavior. Ultimately, we offer evidence supporting a characterization of employees as reflexive interactionists: moral agents whose automatic decision-making processes interact with the environment to shape their moral behavior.

Reducing the performance-cue bias in work behavior ratings: can groups help?

The authors examined whether the performance-cue bias can be reduced by relying on groups as raters. Study participants (N = 333) were provided with feedback regarding the performance of a workgroup and, after observing the group, assigned to an individual or group rater condition to complete a behavioral rating instrument. Results revealed that when provided with positive (vs. negative) feedback, individuals attributed more effective and fewer ineffective behaviors to the workgroup; however, group ratings were unaffected by the feedback. In addition, feedback biased the decision criteria and false alarm rates of individuals but not of groups. Discussion of when groups may attenuate versus amplify bias in performance appraisal judgments emphasizes 2 key elements-bias magnitude and task perception.

Archival Data in Micro-Organizational Research A Toolkit for Moving to a Broader Set of Topics

Compared to macro-organizational researchers, micro-organizational researchers have generally eschewed archival sources of data as a means of advancing knowledge. The goal of this paper is to discuss emerging opportunities to use archival research for the purposes of advancing and testing theory in micro-organizational research. We discuss eight specific strengths common to archival micro-organizational research and how they differ from other traditional methods. We further discuss limitations of archival research, as well as strategies for mitigating these limitations. Taken together, we provide a toolkit to encourage micro-organizational researchers to capitalize on archival data.

From the Bedroom to the Office

Sexual behavior represents relatively common and mundane home-life behavior, with demonstrated impact on both mood and general physical and psychological well-being. Integrating emergent research on sex and mood with theory on work-life enrichment, we propose a novel model demonstrating the effects of sexual behavior at home on next-day job satisfaction and job engagement as a function of positive affect. Using a 2-week daily diary study of married, employed adults, we found that (a) when employees engaged in sex at home, they reported increased positive affect at work the following day, independent of the effects of marital satisfaction; (b) sex at home increased both daily job satisfaction and daily job engagement as a function of increased positive affect; and (c) daily work-to-family strain-based conflict significantly reduced the likelihood of engaging in sex at home that evening. Accordingly, we extend theory on work-life enrichment by demonstrating the import of seemingly banal behavior on daily work life, with implications for work-life impingement.