{"title":"Within-person personality variability in the work context: A blessing or a curse for job performance?","authors":"Loes Abrahams, Jasmine Vergauwe, Filip De Fruyt","doi":"10.1037/apl0001101","DOIUrl":null,"url":null,"abstract":"<p><p>Only recently, the question whether <i>within-person personality variability</i> is a blessing or a curse for job performance has reached the agendas of industrial and organizational (I-O) psychology researchers. Yet, this limited stream of research resulted in inconsistent findings, and only little understanding exists about the role of rater source and mean-level personality in this relationship. Broadly following socioanalytic theory, the present study examined the extent to which self- and other-rated within-person personality variability predicts self- and other-rated job performance, and whether this is moderated by mean-level personality. Within-person personality variability indices and job performance evaluations were obtained from an experience sampling study including <i>N</i> = 166 teachers, <i>N</i> = 95 supervisors, and <i>N</i> = 69 classes (including 1,354 students). Results showed that-above and beyond the effects of mean-level personality-self-rated within-person variability was positively associated with self-rated job performance, while other-rated within-person variability was negatively associated with other-ratings of performance. Many interactions with mean-level personality were found, mainly demonstrating <i>negative</i> effects of variability for those with a less adaptive personality profile (cf. variability as a \"curse\"), while showing <i>positive</i> effects of variability for those with a more adaptive trait profile (cf. variability as a \"blessing\"). Importantly, however, additional analyses provided little evidence for associations across type of rater source. These findings contribute to the field of I-O psychology by highlighting that perceptions of within-person personality <i>variability</i> may impact performance evaluations beyond personality <i>traits</i>, although its desirability seems to depend on individuals' personality trait level. Implications and limitations are discussed. (PsycInfo Database Record (c) 2023 APA, all rights reserved).</p>","PeriodicalId":15135,"journal":{"name":"Journal of Applied Psychology","volume":" ","pages":"1834-1855"},"PeriodicalIF":9.4000,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Applied Psychology","FirstCategoryId":"102","ListUrlMain":"https://doi.org/10.1037/apl0001101","RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/6/12 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"MANAGEMENT","Score":null,"Total":0}
引用次数: 1
Abstract
Only recently, the question whether within-person personality variability is a blessing or a curse for job performance has reached the agendas of industrial and organizational (I-O) psychology researchers. Yet, this limited stream of research resulted in inconsistent findings, and only little understanding exists about the role of rater source and mean-level personality in this relationship. Broadly following socioanalytic theory, the present study examined the extent to which self- and other-rated within-person personality variability predicts self- and other-rated job performance, and whether this is moderated by mean-level personality. Within-person personality variability indices and job performance evaluations were obtained from an experience sampling study including N = 166 teachers, N = 95 supervisors, and N = 69 classes (including 1,354 students). Results showed that-above and beyond the effects of mean-level personality-self-rated within-person variability was positively associated with self-rated job performance, while other-rated within-person variability was negatively associated with other-ratings of performance. Many interactions with mean-level personality were found, mainly demonstrating negative effects of variability for those with a less adaptive personality profile (cf. variability as a "curse"), while showing positive effects of variability for those with a more adaptive trait profile (cf. variability as a "blessing"). Importantly, however, additional analyses provided little evidence for associations across type of rater source. These findings contribute to the field of I-O psychology by highlighting that perceptions of within-person personality variability may impact performance evaluations beyond personality traits, although its desirability seems to depend on individuals' personality trait level. Implications and limitations are discussed. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
期刊介绍:
The Journal of Applied Psychology® focuses on publishing original investigations that contribute new knowledge and understanding to fields of applied psychology (excluding clinical and applied experimental or human factors, which are better suited for other APA journals). The journal primarily considers empirical and theoretical investigations that enhance understanding of cognitive, motivational, affective, and behavioral psychological phenomena in work and organizational settings. These phenomena can occur at individual, group, organizational, or cultural levels, and in various work settings such as business, education, training, health, service, government, or military institutions. The journal welcomes submissions from both public and private sector organizations, for-profit or nonprofit. It publishes several types of articles, including:
1.Rigorously conducted empirical investigations that expand conceptual understanding (original investigations or meta-analyses).
2.Theory development articles and integrative conceptual reviews that synthesize literature and generate new theories on psychological phenomena to stimulate novel research.
3.Rigorously conducted qualitative research on phenomena that are challenging to capture with quantitative methods or require inductive theory building.