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.
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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) 2022 APA, all rights reserved) (Source: journal abstract)
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The goal of industrial/organizational (IO) psychology, is to build and organize trustworthy knowledge about people-related phenomena in the workplace. Unfortunately, as with other scientific ...disciplines, our discipline may be experiencing a “crisis of confidence” stemming from the lack of reproducibility and replicability of many of our field's research findings, which would suggest that much of our research may be untrustworthy. If a scientific discipline's research is deemed untrustworthy, it can have dire consequences, including the withdraw of funding for future research. In this focal article, we review the current state of reproducibility and replicability in IO psychology and related fields. As part of this review, we discuss factors that make it less likely that research findings will be trustworthy, including the prevalence of scientific misconduct, questionable research practices (QRPs), and errors. We then identify some root causes of these issues and provide several potential remedies. In particular, we highlight the need for improved research methods and statistics training as well as a re-alignment of the incentive structure in academia. To accomplish this, we advocate for changes in the reward structure, improvements to the peer review process, and the implementation of open science practices. Overall, addressing the current “crisis of confidence” in IO psychology requires individual researchers, academic institutions, and publishers to embrace system-wide change.
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Questionable research practices (QRPs) among researchers have been a source of concern in many fields of study. QRPs are often used to enhance the probability of achieving statistical ...significance which affects the likelihood of a paper being published. Using a sample of researchers from 10 top research‐productive management programs, we compared hypotheses tested in dissertations to those tested in journal articles derived from those dissertations to draw inferences concerning the extent of engagement in QRPs. Results indicated that QRPs related to changes in sample size and covariates were associated with unsupported dissertation hypotheses becoming supported in journal articles. Researchers also tended to exclude unsupported dissertation hypotheses from journal articles. Likewise, results suggested that many article hypotheses may have been created after the results were known (i.e., HARKed). Articles from prestigious journals contained a higher percentage of potentially HARKed hypotheses than those from less well‐regarded journals. Finally, articles published in prestigious journals were associated with more QRP usage than less prestigious journals. QRPs increase in the percentage of supported hypotheses and result in effect sizes that likely overestimate population parameters. As such, results reported in articles published in our most prestigious journals may be less credible than previously believed.
Models that combine moderation and mediation are increasingly common. One such model is that in which one variable causes another variable that, in turn, moderates the relationship between two other ...variables. There are many recent examples of these Endogenous Moderator Models (EMMs). They bear little superficial resemblance to second-stage moderation models, and they are almost never conceptualized and tested as such. We use path analytic equations to show that this is precisely what EMMs are. Specifically, we use these path analytic equations and a review of recent EMMs in order to show that these models are seldom conceptualized or tested properly and to understand the best ways to handle such models. We then use Monte Carlo simulation to show the consequences of testing these models as they are typically tested rather than as second-stage moderation models. We end with recommendations and provide example datasets and code for SPSS and R.
...when selecting which journals and articles to read, scholars tend to choose the ones with a high quality or prestige rating and omit the ones with a low one (Aguinis et al., 2020). ...instead of ...journal quality, journal popularity may be a more accurate term for indices such as the JIF and similar metrics and rankings of journal quality. ...nobody took wines from any other regions, including California, seriously, which was why only one journalist, George Taber from TIME magazine, was in attendance (Steinmetz, 2016). ...obvious is the fact that, without detailed descriptions of the research ingredients (e.g., theory and measures) and instructions (research design and analytical approach), it is impossible to properly replicate published studies and assess the quality of the articles in which they are published (Cooper, 2020). ...an assessment of the adherence of published articles to our own reporting standards is likely to be a more valuable quality assessment than metrics based on citation counts.
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