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There are notable parallels between processes leading to person-environment fit (PE-fit) and processes of selection and acculturation among U.S. immigrants. Thus, a natural question is: Do immigrants benefit from fitting their new environments? PE-fit appears to have uniformly positive effects in the education, career, and personality literatures, but it is unclear whether this would be the case for immigrants. The present study evaluated the PE-fit of U.S. immigrants (N = 39,195) to their new host communities (9,925 Zip Code Tabulation Areas [ZCTAs]). PE-fit varied across immigrants. On average, immigrant PE-fit was lower (b = 0.23 and b = 0.35) than the PE-fit of U.S. natives (b = 0.47; N = 122,339 from 2,374 ZCTAs). Immigrants more closely matched their community's profile when they were older, more educated, from Western countries, or from countries with French or German as the official language. PE-fit was positively associated with immigrant traits of Honesty, Introspection, Creativity, and Industry. Immigrants experienced better PE-fit when they resided in communities with more educated residents, with residents born abroad—particularly in the same world region—or with residents with a similar ethnic background. Finally, immigrant PE-fit was associated with well-being and self-reported health. We discuss the implications for the study of U.S. immigrants and the field of acculturation and propose future directions. [ABSTRACT FROM AUTHOR]

Reliability is a fundamental problem for measurement in all of science. Although defined in multiple ways, and estimated in even more ways, the basic concepts seem straightforward and need to be understood by practitioners as well as methodologists. Reliability theory is not just for the psychometrician estimating latent variables, it is for everyone who wants to make inferences from measures of individuals or of groups. For the case of a single test administration, we consider multiple measures of reliability, ranging from the worst (β) to average (α, λ3) to best (λ4) split half reliabilities, and consider why model-based estimates (ωh, ωt) should be reported. We also address the utility of test-retest and alternate form reliabilities. The advantages of immediate versus delayed retests to decompose observed score variance into specific, state, and trait scores are discussed. But reliability is not just for test scores, it is also important when evaluating the use of ratings. Estimates that may be applied to continuous data include a set of intraclass correlations while discrete categorical data needs to take advantage of the family of κ statistics. Examples of these various reliability estimates are given using state and trait measures of anxiety given with different delays and under different conditions. An online supplemental materials is provided with more detail and elaboration. The online supplemental materials is also used to demonstrate applications of open source software to examples of real data, and comparisons are made between the many types of reliability. (PsycINFO Database Record (c) 2019 APA, all rights reserved). [ABSTRACT FROM AUTHOR]

The inclusion of psychosocial variables into electronic health records provides a unique opportunity for the translation of findings from social, psychological, and behavioral domains into patient care. This commentary is a response to the recommendations of a committee convened by the Institute of Medicine to address this opportunity (Matthews, Adler, Forrest, & Stead, 2016). We concur with the committee that the inclusion of psychosocial variables in electronic health records will broadly benefit researchers, practitioners, and patients and that there is clear need for a recommended panel of psychosocial measures that is ready for implementation in clinical settings. In fact, it seems likely that these recommendations will have lasting consequences. Given this, our response highlights several concerns about the recommendations and criteria. We suggest further clarification of the audience for these recommendations, reconsideration of the overly restrictive inclusion criteria, and more extensive engagement of psychosocial researchers to achieve broader consensus. [ABSTRACT FROM AUTHOR]

Some people use health care services more than others. Identifying factors associated with health care use has the potential to improve the effectiveness, efficiency, and equity of health care. In line with the Andersen behavioral model of health care utilization and initial empirical findings, personality traits may be key predisposing factors associated with health care use. Across 15 samples, the present study examined cross-sectional and prospective associations between Big Five personality traits and the likelihood of dental visits, general medical practitioner visits, and hospitalizations. Using coordinated data analysis, we estimated models within each of 15 samples individually (sample Ns ranged from 516 to 305,762), and then calculated weighted mean effect sizes using random-effects meta-analysis across samples (total N = 358,803). According to the synthesized results, people higher in conscientiousness, agreeableness, extraversion, and openness, and lower in neuroticism were more likely to visit the dentist; people higher in neuroticism were more likely to visit general medical practitioners; and people lower in conscientiousness and agreeableness and higher in neuroticism were more likely to be hospitalized. Associations tended to be small with odds ratios around 1.20 (rs ≈.05). These findings provide evidence across 15 international samples for small but consistent associations between personality traits and health care use and demonstrate that personality-health care associations differ by type of care. We discuss directions for future research, including examining more specific personality facets (e.g., productiveness vs. responsibility) as well as important dimensions of health care (e.g., preventative vs. reactive care; acute vs. chronic care). [ABSTRACT FROM AUTHOR]

We investigated the relationships between creative achievement, cognitive ability, temperament, and vocational interests using a large and diverse Internet-based sample. Ten creative domains (visual arts, music, creative writing, dance, drama, architecture, humor, scientific discovery, inventions, culinary arts) were positively associated with higher cognitive ability, intellect, and extraversion and lower agreeableness. Regarding cognitive ability, there was no evidence for the threshold effect on achievements. Regarding age, younger individuals endorsed a greater number of low-level achievements and older individuals endorsed more high-level achievements across the 10 creative domains. Other characteristics of individual differences (e.g., vocational interests) were more domain-specific for predicting creative achievement. We also introduce a revised method for the assessment and scoring of creative achievements and discuss suggestions for future research. [ABSTRACT FROM AUTHOR]

Recent advances in natural language processing (NLP) have produced general models that can perform complex tasks such as summarizing long passages and translating across languages. Here, we introduce a method to extract adjective similarities from language models as done with survey-based ratings in traditional psycholexical studies but using millions of times more text in a natural setting. The correlational structure produced through this method is highly similar to that of self- and other-ratings of 435 English terms reported by Saucier and Goldberg (1996a). The first three unrotated factors produced using NLP are congruent with those in survey data, with coefficients of 0.89, 0.79, and 0.79. This structure is robust to many modeling decisions: adjective set, including those with 1,710 (Goldberg, 1982) and 18,000 English terms (Allport & Odbert, 1936); the query used to extract correlations; and language model. Notably, Neuroticism and Openness are only weakly and inconsistently recovered. This is a new source of signal that is closer to the original (semantic) vision of the lexical hypothesis. The method can be applied where surveys cannot: in dozens of languages simultaneously, with tens of thousands of items, on historical text, and at extremely large scale for little cost. The code is made public to facilitate reproduction and fast iteration in new directions of research. (PsycInfo Database Record (c) 2023 APA, all rights reserved).