{"title":"Winter 2022 ad hoc reviewers","authors":"B. Erdogan","doi":"10.1111/peps.12549","DOIUrl":"https://doi.org/10.1111/peps.12549","url":null,"abstract":"","PeriodicalId":48408,"journal":{"name":"Personnel Psychology","volume":" ","pages":""},"PeriodicalIF":5.5,"publicationDate":"2022-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41936891","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"After the Break‐Up: How Divorce Affects Individuals at Work","authors":"Connie R. Wanberg, Borbala Csillag, M. Duffy","doi":"10.1111/peps.12547","DOIUrl":"https://doi.org/10.1111/peps.12547","url":null,"abstract":"","PeriodicalId":48408,"journal":{"name":"Personnel Psychology","volume":" ","pages":""},"PeriodicalIF":5.5,"publicationDate":"2022-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48838112","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"What's age got to do with it? A primer and review of the workplace aging literature","authors":"M. Beier, R. Kanfer, D. Kooij, D. Truxillo","doi":"10.1111/peps.12544","DOIUrl":"https://doi.org/10.1111/peps.12544","url":null,"abstract":"","PeriodicalId":48408,"journal":{"name":"Personnel Psychology","volume":" ","pages":""},"PeriodicalIF":5.5,"publicationDate":"2022-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45393565","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The AI‐IP: Minimizing the guesswork of personality scale item development through artificial intelligence","authors":"Ivan Hernandez, Weiwen Nie","doi":"10.1111/peps.12543","DOIUrl":"https://doi.org/10.1111/peps.12543","url":null,"abstract":"We propose a framework for integrating various modern natural language processing (NLP) models to assist researchers with developing valid psychological scales. Transformer-based deep neural networks offer state-of-the-art performance on various natural language tasks. This project adapts the transformer model GPT-2 to learn the structure of personality items, and generate the largest openly available pool of personality items, consisting of one million new items. We then use that artificial intelligence-based item pool (AI-IP) to provide a subset of potential scale items for measuring a desired construct. To better recommend construct-related items, we train a paired neural network-based classification BERT model to predict the observed correlation between personality items using only their text. We also demonstrate how zero-shot models can help balance desired content domains within the scale. In combination with the AI-IP, these models narrow the large item pool to items most correlated with a set of initial items. We demonstrate the ability of this multimodel framework to develop longer cohesive scales from a small set of construct-relevant items. We found reliability, validity, and fit equivalent for AI-assisted scales compared to","PeriodicalId":48408,"journal":{"name":"Personnel Psychology","volume":" ","pages":""},"PeriodicalIF":5.5,"publicationDate":"2022-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43347686","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Social Process of Coping with Work‐Related Stressors Online: A Machine Learning and Interpretive Data Science Approach","authors":"S. Sajjadiani, Michael A. Daniels, H. Huang","doi":"10.1111/peps.12538","DOIUrl":"https://doi.org/10.1111/peps.12538","url":null,"abstract":"People are increasingly turning to social media and online forums like Reddit to cope with work-related concerns. Previous research suggests that how others respond can be an important determinant of the sharer's affective and well-being outcomes. However, less is known about whether and how cues embedded in the content of what is shared can shape the type of responses that one receives from others, obscuring the joint and interactive role that both the sharer and listener may play in influencing the sharer's outcomes. In this study, we develop theory to advance our understanding of online coping with an explicitly social focus using computational grounded theorizing and machine learning (ML) techniques applied to a large corpus of work-related conversations on Reddit. Specifically, our theoretical model sheds light on the dynamics of the online social coping process related to the domain of work. We show that how sharers and listeners interact and react to one another depends on the content of stressors shared, the social coping behaviors used when sharing, and whether the sharer and listener belong to the same occupational context. We contribute to the social coping literature in three ways. First, we clarify how social actors respond to cues embedded in the social coping attempt. Second, we examine the moderating role that such responses play in shaping sharer outcomes. Finally, we extend theory on social coping with work-related stressors to the online domain. Taken together, this research highlights the importance of the dynamic interplay between sharer and listener in the context of online social coping.","PeriodicalId":48408,"journal":{"name":"Personnel Psychology","volume":" ","pages":""},"PeriodicalIF":5.5,"publicationDate":"2022-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49008557","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A History of Data Visualization & Graphic Communication\u0000 by Michael Friendly and Howard Wainer, Harvard University Press, Cambridge MA, 308 pages including references and index. 2021. Reviewed by Malcolm James Ree, Our Lady of the Lake University","authors":"Malcolm James Ree","doi":"10.1111/peps.12540","DOIUrl":"https://doi.org/10.1111/peps.12540","url":null,"abstract":"","PeriodicalId":48408,"journal":{"name":"Personnel Psychology","volume":" ","pages":""},"PeriodicalIF":5.5,"publicationDate":"2022-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42205506","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}