Understanding dark side personality at work: Distinguishing and reviewing nonlinear,interactive, differential,and reciprocal effects

The topic of dark side personality at work has received considerable research attention over the past decade, and both qualitative and quantitative reviews of this field have already been published. To show the relevance of dark personality in the work context, existing reviews have typically focused on systematically discussing the different criteria that have been linked to dark traits (e.g., job performance, work attitudes, leadership emergence, etc.). In contrast, and complementing this earlier work, the current review paper summarizes the available literature on this topic by structuring it in terms of the nature of the relationships studied rather than in terms of the types of outcome variables. Doing so, the focus shifts from “What are the outcomes of dark traits?” to “How are dark traits related to work outcomes?” Scrutinizing the nature of these relationships, we specifically focus on four types of effects (i.e., nonlinear, interactive, differential, and reciprocal) that highlight the complexity of how dark side traits operate in the work context. Structured this way, this review first provides a conceptual underpinning of each of these complex effects, followed by a summary of the empirical literature published over the past 10 years. To conclude, we present an integration of this field, provide suggestions for future research, and highlight concrete assessment challenges.     

Indistinguishability tests in the actor–partner interdependence model

When considering dyadic data, one of the questions is whether the roles of the two dyad members can be considered equal. This question may be answered empirically using indistinguishability tests in the actor–partner interdependence model. In this paper several issues related to such indistinguishability tests are discussed: the difference between maximum likelihood and restricted maximum likelihood based tests for equality in variance parameters; the choice between the structural equation modelling and multilevel modelling framework; and the use of sequential testing rather than one global test for a set of indistinguishability tests. Based on simulation studies, we provide guidelines for best practice. All different types of tests are illustrated with cross-sectional and longitudinal data, and corroborated with corresponding R code.     

“I think you understand me.” Studying the associations between actual,assumed, and perceived understanding within couples

The current study examined the associations between actual, assumed, and perceived understanding and partners’ levels of dyadic adjustment. One hundred fifty-two couples provided questionnaire data (assumed and perceived understanding), participated in a videotaped conflict interaction, and in a video-review task to assess actual understanding (empathic accuracy). The data were analyzed by means of the Actor-Partner Interdependence Model. The results suggest that (a) some aspects of how well someone assumes that (s)he has understood the partner during a preceding conflict interaction were positively associated with his/her own objective level of understanding (actor effect), (b) that someone's perception of how understood (s)he feels was not associated with the partner's objective level of understanding (partner effect), and (c) perceived understanding, but not actual understanding, was positively associated with dyadic adjustment.