Proportion of women in work teams and team performance: a moderated mediation model

Women’s representation in the workforce is increasing. However, we still do not know how, why, and when the proportion of females in work teams is related to team performance. Based on Social Role Theory and Congruence Theory, the purpose of the study was to ascertain whether the relationship between the proportion of women in work teams and team performance is mediated by team social cohesion, and whether this indirect effect is moderated by the frequency of leader-team member social interactions. Regarding methodological aspects, the study sample was composed of 178 work teams from three banks. We implemented a time-lagged design and collected data from two distinct sources (team members and team leaders) at three different time points. Our findings indicate that the proportion of women in teams was positively related to team performance via team social cohesion. This indirect effect was moderated by the frequency of leader-team member social interactions, so that it was positive and statistically significant only in teams with medium and high frequency of these interactions. This study reveals that team social cohesion is a mechanism through which the proportion of women in work teams can facilitate team performance, especially when team leaders frequently interact with their team members. The theoretical and practical implications of our findings were discussed.

An investigation of emotional and evaluative implicit associations with police using four versions of the Implicit Association Test

In two studies (total N = 829), we assessed civilian implicit associations with police using four modified Implicit Association Tests (IAT). Across studies and IATs, individuals harbored stronger negative implicit associations (associating police with fear/bad) than positive implicit associations (associating police with safety/good). The predictive validity of the implicit associations and magnitude of D scores varied across IAT. In Study 1, the IATs involving categorization of police-related (vs. everyday) symbols were most sensitive, but the versions involving categorization of police (vs. civilian) models provided more evidence for predictive validity. In Study 2, the IAT involving categorization of emotional words (safety/fear) was most sensitive, but the version involving categorization of evaluative words (good/bad) provided more evidence for predictive validity. In both studies, we also assessed individual differences (race, political affiliation) in implicit associations. The findings prompt the need to further examine the underlying cognitive components of civilian attitudes toward police and emphasize the importance of developing several IATs when assessing implicit attitudes.

Conditional Reasoning: A Review and Suggestions for Future Test Development and Validation

Lawrence R. James spent the last 20 years of his 35-year career developing and validating a new theory of personality that he called conditional reasoning. This theory was focused on mapping and measuring core aspects of the implicit (i.e., unconscious) personality. In this article, we (a) review James’s seminal contributions to the theory and measurement of conditional reasoning, (b) discuss subsequent contributions made in the area of conditional reasoning, and (c) provide a brief “look under the hood” at James’s approach to test development and validation. This final section of our paper is designed to familiarize other researchers with the protocols that James and his colleagues have used over the past 20 years. Many of these protocols have gone unmentioned or only briefly acknowledged (e.g., in conference presentations or informal meetings); indeed, many of these validation protocols were “implicit” in the thinking of James and his approach to the study of personality. Having benefited from working closely with James, we were privy to many of these implicit assumptions and protocols that privately guided James’s early work on conditional reasoning.

Not Aggressive or Just Faking It? Examining Faking and Faking Detection on the Conditional Reasoning Test of Aggression

Substantial research has been dedicated to examining and combating respondent misrepresentation (i.e., “faking”) on personality assessments. Two approaches to combat faking that have garnered particular attention include: (a) designing systems to identify likely fakers and (b) developing difficult-to-fake measures. Consistent with suggestions to combine these strategies, the present article examines a new faking detection system specifically designed for a difficult-to-fake measure (i.e., the Conditional Reasoning Test for Aggression; CRT-A). Four studies (a) help elucidate the conditions under which the CRT-A is fakeable, (b) provide initial construct validity evidence for the faking detection system developed here, (c) examine the effects of faking and faking detection on the CRT-A’s criterion-oriented validity, and (d) show that participants identify CRT-based faking detection items at worse-than-chance levels even when they are fully informed about how these items work. Taken together, these studies reinforce the importance of maintaining the indirect nature of CRTs but also show that the faking detection system developed here represents a promising method of identifying those who may have used inside information to manipulate their scores.

The Role and Reprocessing of Attitudes in Fostering Employee Work Happiness: An Intervention Study

This intervention study examines the iterative reprocessing of explicit and implicit attitudes as the process underlying associations between positive employee attitudes (PsyCap), perception of positive organization culture (organizational virtuousness, OV), and work happiness. Using a quasi-experimental design, a group of school staff (N = 69) completed surveys at three time points. After the first assessment, the treatment group (n = 51) completed a positive psychology training intervention. Results suggest that employee PsyCap, OV, and work happiness are associated with one another through both implicit and explicit attitudes. Further, the Iterative-Reprocessing Model of attitudes (IRM) provides some insights into the processes underlying these associations. By examining the role and processes through which explicit and implicit attitudes relate to wellbeing at work, the study integrates theories on attitudes, positive organizational scholarship, positive organizational behavior and positive education. It is one of the first studies to apply the theory of the IRM to explain associations amongst PsyCap, OV and work happiness, and to test the IRM theory in a field-based setting. In applying attitude theory to wellbeing research, this study provides insights to mechanisms underlying workplace wellbeing that have not been previously examined and in doing so responds to calls for researchers to learn more about the mechanisms underlying wellbeing interventions. Further, it highlights the need to understand subconscious processes in future wellbeing research and to include implicit measures in positive psychology interventions measurement programs. Practically, this research calls attention to the importance of developing both the positive attitudes of employees and the organizational culture in developing employee work happiness.

Creating One's Reality: The Interaction of Politics Perceptions and Enactment Behavior

The current study investigated the previously unexamined relationship between politics perceptions and employee enactment behavior. Consistent with previous job stress and sense-making research, we hypothesized that individuals reporting low levels of enactment behaviors would be more adversely affected by politics perceptions than those who engaged in high levels of enactment behavior. Results across two samples provided strong support for the hypothesized relationships. Specifically, employees who reported low levels of enactment behavior experienced less satisfaction, less person-environment fit, and reported lower levels of effort when faced with highly political environments. Conversely, levels of satisfaction and person-environment fit perceptions of individuals reporting high levels of enactment behaviors were largely unaffected by highly political contexts. Implications of these findings, strengths and limitations, and avenues for future research are provided.

Residualized Relative Importance Analysis

The current article notes that the standard application of relative importance analyses is not appropriate when examining the relative importance of interactive or other higher order effects (e.g., quadratic, cubic). Although there is a growing demand for strategies that could be used to decompose the predicted variance in regression models containing such effects, there has been no formal, systematic discussion of whether it is appropriate to use relative importance statistics in such decompositions, and if it is appropriate, how to go about doing so. The purpose of this article is to address this gap in the literature by describing three different yet related strategies for decomposing variance in higher-order multiple regression models—hierarchical F tests (a between-sets test), constrained relative importance analysis (a within-sets test), and residualized relative importance analysis (a between- and within-sets test). Using a previously published data set, we illustrate the different types of inferences these three strategies permit researchers to draw. We conclude with recommendations for researchers seeking to decompose the predicted variance in regression models testing higher order effects.

What if we fake emotional intelligence? A test of criterion validity attenuation

We evaluate the extent to which established self-report measures of emotional intelligence (EI) are susceptible to socially desirable responding. A study was conducted to assess the relationship between EI and multiple outcomes across 3 experimental faking conditions. Using structural equation modeling, we found that the criterion validities of self-report EI measures in the prediction of life satisfaction, psychological distress, rational coping, and detachment coping are not attenuated in moderate social desirability settings, but are somewhat attenuated when faking is maximized. Moreover, partialing out social desirability does not yield any improvement of the predictive validity of self-report EI.

Measuring Implicit Traits in Organizational Research: Development of an Indirect Measure of Employee Implicit Self-Concept

Values, attitudes, and goals are often automatically activated, yet organizational research has relied predominantly on techniques that measure these phenomena at explicit or conscious levels. In this study, the authors validated an indirect measure designed to assess employee self-concept at implicit levels. Because self-concept is believed to operate primarily at implicit levels, it was hypothesized that an indirect measure would be an effective predictor of work criteria. The criteria examined were task performance, citizenship and counterproductive behavior, and the quality of supervisor—subordinate relations. Consistent with predictions, the indirect measure—a word fragment completion task—contributed more to the prediction of criteria than the direct measure— self-report survey items with summated rating scales. The authors discuss the implications of these findings for the use of indirect measures in applied settings.

On the Path to Mediation

A commentary on mediation is presented. The commentary begins with a brief history of the author's interest in mediation. This is followed by some ideas about why there continues to be interest among organizational researchers in mediation. Last, comments are offered on the articles that are the center of attraction.