Untying the climate strength knot: A meta-analytic examination of restricted variance effects in climate strength relations.

Climate strength is often included in organizational climate models, however, its role in such models remains unclear. We propose that the inconsistent findings regarding the effects of climate strength are due in part to its complicated relationship with climate level. Specifically, we propose that the relationship between level and strength is heteroscedastic and nonlinear due to restricted variance (RV) and potential leniency bias in climate ratings. We examine how this relationship between level and strength affects relations between climate strength and work-related outcomes, as well as the implications that this has for bilinear interactions between level and strength. In this meta-analysis, we analyzed 81 independent samples from 77 articles and find support for a heteroscedastic, curvilinear relationship between climate level and climate strength, consistent with the notion that variance compression and leniency bias are present in climate ratings. With regard to the three proposed roles of climate strength in organizational models, we find some support for an additive effect of strength on outcomes, but only at high levels of climate level, and little support for strength as a bilinear moderator of level-outcome relations or for strength as a nonlinear predictor of outcomes. We do find, however, some support for nonlinear interaction effects between level and strength. We discuss implications of our findings for the role of climate strength in future research and for multilevel theory in general. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Situation strength as a basis for interactions in psychological models.

One of the most important methods that psychological scientists use to understand behavior and cognition is theorizing. Increasingly, theorizing is used to support not only additive hypotheses, but also multiplicative ones. And yet, authors often struggle to provide adequate theoretical justifications for multiplicative hypotheses. In the late 1960s and early 1970s, W. Mischel averred that, in "strong" situations, behavior is relatively uniform regardless of one's personality characteristics. In "weak" situations, that is, those that lack clear behavioral expectations, behavior is not constrained by the situation and is free to covary with personality. This is the situational strength interaction, and although this reasoning has been applied to personality-behavior models, we show that it can be used to justify many interaction models in psychology more generally. In some cases, such reasoning may serve to bolster the more traditional interaction arguments. In other cases, it shows that the traditional interaction arguments must be incorrect. In this tutorial, we describe a generalized situation strength phenomenon, called the restricted variance interaction, that can be used to pinpoint the nature, direction, and even the magnitude of many interaction hypotheses in the psychological sciences. We illustrate the value and application of restricted variance reasoning using examples from the workplace mistreatment literature and then extrapolate to several other areas of psychology. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Videoconference fatigue? Exploring changes in fatigue after videoconference meetings during COVID-19.

In response to the Coronavirus disease 2019 (COVID-19) global health pandemic, many employees transitioned to remote work, which included remote meetings. With this sudden shift, workers and the media began discussing videoconference fatigue, a potentially new phenomenon of feeling tired and exhausted attributed to a videoconference. In the present study, we examine the nature of videoconference fatigue, when this phenomenon occurs, and what videoconference characteristics are associated with fatigue using a mixed-methods approach. Thematic analysis of qualitative responses indicates that videoconference fatigue exists, often in near temporal proximity to the videoconference, and is affected by various videoconference characteristics. Quantitative data were collected each hour during five workdays from 55 employees who were working remotely because of the COVID-19 pandemic. Latent growth modeling results suggest that videoconferences at different times of the day are related to deviations in employee fatigue beyond what is expected based on typical fatigue trajectories. Results from multilevel modeling of 279 videoconference meetings indicate that turning off the microphone and having higher feelings of group belongingness are related to lower postvideoconference fatigue. Additional analyses suggest that higher levels of group belongingness are the most consistent protective factor against videoconference fatigue. Such findings have immediate practical implications for workers and organizations as they continue to navigate the still relatively new terrain of remote work. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

From alpha to omega and beyond! A look at the past, present, and (possible) future of psychometric soundness in the Journal of Applied Psychology.

The psychometric soundness of measures has been a central concern of articles published in the Journal of Applied Psychology (JAP) since the inception of the journal. At the same time, it isn't clear that investigators and reviewers prioritize psychometric soundness to a degree that would allow one to have sufficient confidence in conclusions regarding constructs. The purposes of the present article are to (a) examine current scale development and evaluation practices in JAP; (b) compare these practices to recommended practices, previous practices, and practices in other journals; and (c) use these comparisons to make recommendations for reviewers, editors, and investigators regarding the creation and evaluation of measures including Excel-based calculators for various indices. Finally, given that model complexity appears to have increased the need for short scales, we offer a user-friendly R Shiny app (https://orgscience.uncc.edu/about-us/resources) that identifies the subset of items that maximize a variety of psychometric criteria rather than merely maximizing alpha. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

Situational strength interactions: Are variance patterns consistent with the theory?

Mischel's (1973, 1977) theory of situational strength has been used widely within the organizational sciences to help explain why contextual factors moderate predictor-criterion relationships. Situational strength interactions represent a particular type known as a restricted variance (RV) interaction (Cortina, Köhler, & Nielsen, 2015). The theory proposes that the strength of a given situation constrains or compresses the variance of the dependent variable, weakening its prediction from other variables. Other theories and models, such as self-determination theory and the job characteristics model, also make implicit references to variance compression based on the level of autonomy in a given situation and to the interactions that this compression creates. It is unclear, however, whether differences in strength (or degree of constraint) actually yield variance differences that are consistent with the theoretical framework. In this meta-analysis, we reviewed 132 articles that imply RV effects, 100 of which allowed for variance comparisons. We found that only a handful of authors explicitly connect their theoretical arguments and interaction hypotheses to changes in variance in the Introduction section of their articles. Moreover, our findings also reveal that, for the most part, variance differences between weak and strong situations are minimal. Where differences exist, they are often in the opposite of the expected direction (i.e., larger variance in "strong" situations). We discuss our findings and their theoretical and practical implications. We also provide recommendations for designing studies and testing for such interactions. (PsycINFO Database Record (c) 2019 APA, all rights reserved).