RESUMEN
Personality traits are most often assessed using global self-reports of one's general patterns of thoughts, feelings, and behavior. However, recent theories have challenged the idea that global self-reports are the best way to assess traits. Whole Trait Theory postulates that repeated measures of a person's self-reported personality states (i.e., the average of many state self-reports) can be an alternative and potentially superior way of measuring a person's trait level (Fleeson & Jayawickreme, 2015). Our goal is to examine the validity of average state self-reports of personality for measuring between-person differences in what people are typically like. In order to validate average states as a measure of personality, we examine whether they are incrementally valid in predicting informant reports above and beyond global self-reports. In 2 samples, we find that average state self-reports tend to correlate with informant reports, although this relationship is weaker than the relationship between global self-reports and informant reports. Further, using structural equation modeling, we find that average state self-reports do not significantly predict informant reports independently of global self-reports. Our results suggest that average state self-reports may not contain information about between-person differences in personality traits beyond what is captured by global self-reports, and that average state self-reports may contain more self-bias than is commonly believed. We discuss the implications of these findings for research on daily manifestations of personality and the accuracy of self-reports. (PsycINFO Database Record
Asunto(s)
Personalidad , Autoinforme , Adolescente , Adulto , Emociones , Femenino , Humanos , Masculino , Determinación de la Personalidad/estadística & datos numéricos , Trastornos de la Personalidad , Inventario de Personalidad/estadística & datos numéricos , Psicometría , Reproducibilidad de los Resultados , Adulto JovenRESUMEN
Dijksterhuis and van Knippenberg (1998) reported that participants primed with a category associated with intelligence ("professor") subsequently performed 13% better on a trivia test than participants primed with a category associated with a lack of intelligence ("soccer hooligans"). In two unpublished replications of this study designed to verify the appropriate testing procedures, Dijksterhuis, van Knippenberg, and Holland observed a smaller difference between conditions (2%-3%) as well as a gender difference: Men showed the effect (9.3% and 7.6%), but women did not (0.3% and -0.3%). The procedure used in those replications served as the basis for this multilab Registered Replication Report. A total of 40 laboratories collected data for this project, and 23 of these laboratories met all inclusion criteria. Here we report the meta-analytic results for those 23 direct replications (total N = 4,493), which tested whether performance on a 30-item general-knowledge trivia task differed between these two priming conditions (results of supplementary analyses of the data from all 40 labs, N = 6,454, are also reported). We observed no overall difference in trivia performance between participants primed with the "professor" category and those primed with the "hooligan" category (0.14%) and no moderation by gender.