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Existing research has consistently supported a relationship between creative achievement and specific personality traits (e.g. openness to experience). However, such work has largely focused on univariate associations, potentially obscuring complex interactions among multiple personality factors, rendering an incomplete picture of the creative personality. We applied a psychometric network approach to characterize the multidimensional personality structure of highly creative individuals in the arts ("artists") and sciences ("scientists"), using data from three samples (N = 4,015): college students, a representative adult sample, and the Big-C project of eminent creative professionals. Replicating past work, we found that artists showed reliably higher levels of openness to experience compared to scientists and a control group of less creative people. Psychometric network analysis revealed that artists were characterized by higher connectivity (i.e. co-occurrence) with other personality traits for openness, indicating that openness may be more heterogeneous in how it co-occurs with other personality traits in highly creative people. Across all three samples, we found that the scientists' personality network structure was more cohesive than the personality network of artists and the control group, indicating greater homogeneity in the personality characteristics of scientists. Our findings uncover a constellation of traits that give rise to creative achievement in the arts and sciences.

BackgroundThere is a need for valid self-report measures of core health-related quality of life (HRQoL) domains.ObjectiveTo derive brief, reliable and valid health profile measures from the Patient Reported Outcomes Measurement Information System® (PROMIS®) item banks.MethodsLiterature review, investigator consensus process, item response theory (IRT) analysis, and expert review of scaling results from multiple PROMIS data sets. We developed 3 profile measures ranging in length from 29 to 57 questions. These profiles assess important HRQoL domains with highly informative subsets of items from respective item banks and yield reliable information across mild-to-severe levels of HRQoL experiences. Each instrument assesses the domains of pain interference, fatigue, depression, anxiety, sleep disturbance, physical function, and social function using 4-, 6-, and 8-item short forms for each domain, and an average pain intensity domain score, using a 0-10 numeric rating scale.ResultsWith few exceptions, all domain short forms within the profile measures were highly reliable across at least 3 standard deviation (30 T-score) units and were strongly correlated with the full bank scores. Construct validity with ratings of general health and quality of life was demonstrated. Information to inform statistical power for clinical and general population samples is also provided.ConclusionsAlthough these profile measures have been used widely, with summary scoring routines published, description of their development, reliability, and initial validity has not been published until this article. Further evaluation of these measures and clinical applications are encouraged.

Imagination, often celebrated for its role in creativity and development, also may be a feature in a range of personality pathology and psychopathology. This pre-registered study evaluates the relationship between imagination and maladaptive personality traits using the Four-Factor Imagination Scale and Personality Inventory for DSM-5. Large-scale, multinational, cross-sectional data (N = 114,559) were collected from the SAPA-Project using a planned-missingness design. Functional sample size (pairwise-n = 600) was derived from the mean number of pairwise-complete administrations of all items. Significant associations were found between imagination and PID-5 facets saturated with negative affect and psychoticism. Extreme groups analysis demonstrated participants with non-normative levels of PID-5 Depressivity and Anxiousness had elevated levels of emotionally negative imagination (mean d = 1.14, p < .001); non-normative Perceptual Dysregulation and Emotional Lability featured greater overall imaginative activity (mean d = 1.00, p < .001). Item-level analyses using machine learning revealed the content of PID-5 items predicted facet-level imagination scores, suggesting imagination features in some pathological traits. All statistical analyses are reproducible and publicly available in the Supplemental Materials file. [ABSTRACT FROM AUTHOR]

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]

The relationship between life outcomes and an individual's standing in the social and economic hierarchy of society is an important topic across the social sciences. Foundational to this work is assessing an individual's standing in this hierarchy, often referred to as socioeconomic status (SES). One component of an individual's SES, often overlooked in the psychological literature, is occupational prestige - the amount of status accorded to them based on their occupational role. In this research, we collected and validated a new index of occupational prestige for 1029 specific occupations, including all jobs in the US Department of Labor's O*NET database, and 22 broader occupational families. In Study 1, we collected a comprehensive set of occupational prestige ratings from an online convenience sample, and demonstrated their high reliability. In Study 2, we developed a crosswalk between the ratings collected in Study 1 and prior ratings of occupations listed in the US Census and show convergent validity with previous indices. In Studies 3 and 4 we used additional data to evaluate the construct validity of occupational prestige more broadly. In Study 3, we established convergent and discriminant validity with other indicators of SES: income and educational attainment. In Study 4, we use the O*NET database to identify the characteristics of occupations most strongly associated with prestige. These results support the validity of the index and suggest occupations with high prestige require skills traditionally emphasized in liberal arts education (e.g., critical thinking, reading comprehension). [ABSTRACT FROM AUTHOR]

Previous research has investigated the nature of imagination as a construct related to multiple forms of higher-order cognition. Despite the emergence of various conceptualizations of imagination, few attempts have been made to explore the structure of imagination as a trait in the context of existing hierarchically-nested personality dimensions. We present the Dual Facet Imagination Scale (DFIS) for measuring trait imagination that distinguishes between experiential simulation and conceptual innovation, aligned with the two major subfactors (aspects) of the Big Five dimension Openness/Intellect. In two samples (N = 210 & 5771), we provide evidence of a consistent factor structure distinguishing experiential and conceptual descriptions of imagination, as well as validity as measures of facets of Openness and Intellect. The DFIS provides a trait measure of two major forms of imagination in line with mainstream models of the hierarchical structure of personality. [ABSTRACT FROM AUTHOR]

Despite their known influence in science, technology, engineering, and mathematics (STEM) fields, spatial abilities remain an underassessed aspect of cognition, particularly in educational settings. One explanation could be a lack of affordable, valid instruments for measuring various aspects of spatial ability. We evaluate the validity of a set of public-domain, algorithmically generated two-dimensional rotation items using a sample from the Synthetic Aperture Personality Assessment (SAPA) Project (N = 1,020,195). We examine the psychometric properties of the items and their relationship with various other cognitive abilities and personality traits. In addition, we identify the highest performing college majors and occupations on the 2D rotation items and on a set of 3D rotation items. Findings suggest strong unidimensionality for the 2D rotation items and the presence of lower-order factors which reflect differences across items in mental rotation demands. The highest scoring majors and occupations were similar—but not identical—across the 2D and 3D rotation measures and point to potentially meaningful differences across areas of expertise. [ABSTRACT FROM AUTHOR]

Group‐level risk attitudes are often studied across psychology domains (e.g., binge drinking among college students, and driving risk by gender). In measuring these differences by self‐report, such work relies on the assumption that those measures of risk attitude function equivalently across demographic groups—that is, that the measure employed has the property of measurement invariance. Here, we examine the measurement invariance properties of a widely used risk measure, the Domain‐Specific Risk‐Taking (DOSPERT) scale across different demographic groups. A secondary goal was to determine whether a hierarchical or bifactor model better fits the data. Data were collected from Prolific using a stratified sampling approach to ensure sufficient and unconfounded sampling of sex, socioeconomic status (SES), and race (N = 412). Sample groups consisted of approximately 50 participants each, based on the intersection of three dichotomized demographic groups (high vs. low SES, White vs. non‐White, and female vs. male). Subjects completed the 30‐item form of the DOSPERT assessing likelihood, perceived benefit, and riskiness of the same 30 behaviors. The bifactor models showed a superior fit to the hierarchical models and were used in subsequent analyses. These analyses demonstrated that no models fit generally acceptable criteria for configural fit, and many models additionally fail cutoffs for metric and scalar invariance. This study adds to findings that the DOSPERT does not perform equivalently across demographic groups. We suggest development of a scale of risk that is invariant across commonly assessed demographic factors. [ABSTRACT FROM AUTHOR]

Existing research has consistently supported a relationship between creative achievement and specific personality traits (e.g. openness to experience). However, such work has largely focused on univariate associations, potentially obscuring complex interactions among multiple personality factors, rendering an incomplete picture of the creative personality. We applied a psychometric network approach to characterize the multidimensional personality structure of highly creative individuals in the arts ("artists") and sciences ("scientists"), using data from three samples (N = 4,015): college students, a representative adult sample, and the Big-C project of eminent creative professionals. Replicating past work, we found that artists showed reliably higher levels of openness to experience compared to scientists and a control group of less creative people. Psychometric network analysis revealed that artists were characterized by higher connectivity (i.e. co-occurrence) with other personality traits for openness, indicating that openness may be more heterogeneous in how it co-occurs with other personality traits in highly creative people. Across all three samples, we found that the scientists' personality network structure was more cohesive than the personality network of artists and the control group, indicating greater homogeneity in the personality characteristics of scientists. Our findings uncover a constellation of traits that give rise to creative achievement in the arts and sciences. [ABSTRACT FROM AUTHOR]

The Hierarchical Taxonomy of Psychopathology (HiTOP) is an empirically and quantitatively derived dimensional classification system designed to describe the features of psychopathology and, ultimately, to replace categorical nosologies. Among the constructs that HiTOP organizes are "symptom components" and "maladaptive traits," but past HiTOP publications have not fully explicated the distinction between symptoms and traits. We propose working definitions of symptoms and traits and explore challenges, exceptions, and remaining questions. Specifically, we propose that the only systematic difference between symptoms and traits in HiTOP is one of time frame. Maladaptive traits are dispositional constructs that describe persistent tendencies to manifest features of psychopathology, whereas symptoms are features of psychopathology as they are manifest during any specific time period (from moments to days to months). This has the consequence that almost every HiTOP dimension, at any level of the hierarchy, can be assessed as either a trait or a symptom dimension, by adjusting the framing of the assessment. We discuss the implications of these definitions for causal models of the relations between symptoms and traits and for distinctions between psychopathology, normal personality variation, and dysfunction. [ABSTRACT FROM AUTHOR]

This dataset contains 2,818 trait descriptive adjectives in English and information about the extent to which each term is known among a large and approximately representative sample of U.S. adults. The list of personality-related terms includes all 1,710 adjectives previously studied by Goldberg (1982) and draws on prior work by Allport and Odbert (1936) and Norman (1967). The extent to which terms were known by respondents was based on the administration of vocabulary questions about each term-definition pair online to a sample of English-speaking U.S. residents with approximately average literacy levels. The open data are accompanied by an online database that allows the terms to be searched and filtered. [ABSTRACT FROM AUTHOR]

Some scholars have presented models of the United States as a set of "nations" with distinct settlement histories and contemporary cultures. We examined personality differences in one such model, that of Colin Woodard, using data from over 75,000 respondents. Four nations were particularly distinct: The Deep South, Left Coast, New Netherland, and the Spanish Caribbean. Differences between nations at the level of the individual person were typically small, but were larger at the level of community, revealing how aggregation can contribute to differences in the lived experience of places in nations such as Yankeedom or Greater Appalachia. We represented effects in a three-dimensional model defined by Authoritarian conventionalism (which differentiated 'Red' and 'Blue' nations) as well as Cognitive resilience and Competitiveness (which differentiated among the Blue nations). Finally, we adjusted Woodard's model to better fit the data, and found that nations largely maintained their boundaries, with the most drastic changes occurring on the East Coast. [ABSTRACT FROM AUTHOR]

Personality traits are important predictors of health behaviors, healthcare utilization, and health outcomes. However, we know little about the role of personality traits for emergency department outcomes. The present study used data from 200 patients (effective Ns range from 84 to 191), who were being discharged from the emergency department at an urban hospital, to investigate whether the Big Five personality traits were associated with post-discharge outcomes (i.e., filling prescriptions, following up with primary care physician, making an unscheduled return to the emergency department). Using logistic regression, we found few associations among the broad Big Five domains and post-discharge outcomes. However, results showed statistically significant associations between specific Big Five items (e.g., “responsible”) and the three post-discharge outcomes. This study demonstrates the feasibility of assessing personality traits in an emergency medicine setting and highlights the utility of having information about patients’ personality tendencies for predicting post-discharge compliance. [ABSTRACT FROM AUTHOR]

Personality is not the most popular subfield of psychology. But, in one way or another, personality psychologists have played an outsized role in the ongoing “credibility revolution” in psychology. Not only have individual personality psychologists taken on visible roles in the movement, but our field’s practices and norms have now become models for other fields to emulate (or, for those who share Baumeister’s (2016, https://doi.org/10.1016/j.jesp.2016.02.003) skeptical view of the consequences of increasing rigor, a model for what to avoid). In this article we discuss some unique features of our field that may have placed us in an ideal position to be leaders in this movement. We do so from a subjective perspective, describing our impressions and opinions about possible explanations for personality psychology’s disproportionate role in the credibility revolution. We also discuss some ways in which personality psychology remains less-than-optimal, and how we can address these flaws. [ABSTRACT FROM AUTHOR]

We argue that it is useful to distinguish between three key goals of personality science—description, prediction and explanation—and that attaining them often requires different priorities and methodological approaches. We put forward specific recommendations such as publishing findings with minimum a priori aggregation and exploring the limits of predictive models without being constrained by parsimony and intuitiveness but instead maximizing out‐of‐sample predictive accuracy. We argue that naturally occurring variance in many decontextualized and multidetermined constructs that interest personality scientists may not have individual causes, at least as this term is generally understood and in ways that are human‐interpretable, never mind intervenable. If so, useful explanations are narratives that summarize many pieces of descriptive findings rather than models that target individual cause–effect associations. By meticulously studying specific and contextualized behaviours, thoughts, feelings and goals, however, individual causes of variance may ultimately be identifiable, although such causal explanations will likely be far more complex, phenomenon‐specific and person‐specific than anticipated thus far. Progress in all three areas—description, prediction and explanation—requires higher dimensional models than the currently dominant 'Big Few' and supplementing subjective trait‐ratings with alternative sources of information such as informant‐reports and behavioural measurements. Developing a new generation of psychometric tools thus provides many immediate research opportunities. © 2020 European Association of Personality Psychology [ABSTRACT FROM AUTHOR]

Purpose: To evaluate the influence of recall periods on the assessment of physical function, we compared, in cancer and general population samples, the standard administration of PROMIS Physical Function items without a recall period to administrations with 24-hour and 7-day recall periods.Methods: We administered 31 items from the PROMIS Physical Function v2.0 item bank to 2400 respondents (n = 1001 with cancer; n = 1399 from the general population). Respondents were randomly assigned to one of three recall conditions (no recall, 24-hours, or 7-days) and one of two "reminder" conditions (with recall periods presented only at the start of the survey or with every item). We assessed items for potential differential item functioning (DIF) by recall time period. We then tested recall and reminder effects with analysis of variance controlling for demographics, English fluency, and co-morbidities.Results: Based on conservative pre-set criteria, no items were flagged for recall time period-related DIF. Using analysis of variance, each condition was compared to the standard PROMIS administration for Physical Function (no recall period). There was no evidence of significant differences among groups in the cancer sample. In the general population sample, only the 24-hour recall condition with reminders was significantly different from the "no recall" PROMIS standard. At the item level, for both samples, the number of items with non-trivial effect size differences across conditions was minimal.Conclusions: Compared to no recall, the use of a recall period has little to no effect upon PROMIS physical function responses or scores. We recommend that PROMIS Physical Function be administered with the standard PROMIS "no recall" period. [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]

Background. Although there has been increasing interest in patient engagement, few measures are publicly available and suitable for patients with limited health literacy. Objective. We sought to develop a Consumer Health Activation Index (CHAI) for use among diverse patients. Methods. Expert opinion, a systematic literature review, focus groups, and cognitive interviews with patients were used to create and revise a potential set of items. Psychometric testing guided by item response theory was then conducted among 301 English-speaking, community-dwelling adults. This included differential item functioning analyses to evaluate item performance across participant health literacy levels. To determine construct validity, CHAI scores were compared to scales measuring similar personality constructs. Associations between the CHAI and physical and mental health established predictive validity. A second study among 9,478 adults was used to confirm CHAI associations with health outcomes. Results. Exploratory factor analyses revealed a single-factor solution with a 10-item scale. The CHAI showed good internal consistency (alpha = 0.81) and moderate test–retest reliability (ICC = 0.53). Reading grade level was found to be at the 6th grade. Moderate to strong correlations were found with similar constructs (Multidimensional Health Locus of Control, r = 0.38, P < 0.001; Conscientiousness, r = 0.41, P < 0.001). Predictive validity was demonstrated through associations with functional health status measures (depression, r = −0.28, P < 0.001; anxiety, r = −0.22, P < 0.001; and physical functioning, r = 0.22, P < 0.001). In the validation sample, the CHAI was significantly associated with self-reported physical and mental health (r = 0.31 and 0.32 respectively; both P < 0.001). Conclusions. The CHAI appears to be a valid, reliable, and easily administered tool that can be used to assess health activation among adults, including those with limited health literacy. Future studies should test the tool in actual use and explore further applications. [ABSTRACT FROM AUTHOR]

Two large samples were collected to evaluate the structure of traits in the temperament domain. In both samples, participants were administered random subsets of public-domain personality items from a larger pool of approximately 700 items. These data broadly cover the most widely used, public-domain measures of personality (though this breadth is not likely free of theoretical bias). When combined with a third, previously-shared dataset that used the same methodological design [4], the sample includes more than 125,000 participants from more than 220 countries and regions. Re-use potential includes many types of structural, correlational, and network analyses of personality and a wide range of demographic and psychographic constructs. The data are available in both rdata and csv formats. [ABSTRACT FROM AUTHOR]

The majority of life narrative research is performed using trained human coders. In contrast, automated linguistic analysis is oft employed in the study of verbal behaviors. These two methodological approaches are directly compared to determine the utility of automated linguistic analysis for the study of life narratives. In a study of in-person interviews (N = 158) and a second study of life stories collected online (N = 242), redemption scores are compared to the output of the Linguistic Inquiry and Word Count (Pennebaker, Francis & Booth, 2001). Additionally, patterns of language are found using exploratory principal components analysis. In both studies, redemption scores are modestly correlated with some LIWC categories and unassociated with the components. Patterns of language do not replicate across samples, indicating that the structure of language does not extend to a broader population. Redemption scores and linguistic components are independent predictors of life satisfaction up to 3 years later. These studies converge on the finding that human-coded redemption and automated linguistic analysis are complementary and nonredundant methods of analyzing life narratives, and considerations for the study of life narratives are discussed. [ABSTRACT FROM AUTHOR]

Current health literacy measures have been criticized for solely measuring reading and numeracy skills when a broader set of skills is necessary for making informed health decisions, especially when information is often conveyed verbally and through multimedia video. The authors devised 9 health tasks and a corresponding 190-item assessment to more comprehensively measure health literacy skills. A sample of 826 participants between the ages of 55 and 74 years who were recruited from an academic general internal medicine practice and three federally qualified health centers in Chicago, Illinois, completed the assessment. Items were reduced using hierarchical factor analysis and item response theory resulting in the 45-item Comprehensive Health Activities Scale. All 45 items loaded on 1 general latent trait, and the resulting scale demonstrated high reliability and strong construct validity using measures of health literacy and global cognitive functioning. The predictive validity of the Comprehensive Health Activities Scale using self-reported general, physical, and mental health status was comparable to or better than widely used measures of health literacy, depending on the outcome. Despite comprehensively measuring health literacy skills, items in the Comprehensive Health Activities Scale supported 1 primary construct. With similar psychometric properties, current measures may be adequate, depending on the purpose of the assessment. [ABSTRACT FROM PUBLISHER]

The network perspective represents a novel contribution to personality theory by conceptualising personality traits as emerging from the mutual dependencies between fundamental and causal affective, behavioural, and cognitive components. We argue that incorporating a more nuanced biological and developmental perspective to causality and a more precise approach to affective, behavioural, cognitive and motivational components may serve to enrich the network perspective. Although the graphical approach to modelling personality is aesthetically pleasing, analytic techniques are not yet available to put network models to the (quantitative) test. Copyright © 2012 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]

In response to the call for greater integration across personality structure, process and development, we propose the analogy of climate and weather to traits and states as a means of emphasizing the importance of time in analyses of human behavior. While there is a tendency to focus on only one time scale (days, months, years) on both sides of the analogy, we suggest that the use of multiple time scales can facilitate the search for commonalities in causes and unique effects between structure, processes, and development. [ABSTRACT FROM AUTHOR]

Lievens made a case for using SJTs in personnel selection, a recommendation with which we agree. In particular, we like the emphasis on branching out from current methodologies and using new techniques such as SJTs not only in I/O or personnel selection research but also in basic personality research. Despite our enthusiasm, we point out several problems, most notably absence of time dimension in SJTs. [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).

The sharp increase in consumption over the holiday season has important economic implications, yet the psychology underlying this phenomenon has received limited attention. Here, we evaluate the role of individual differences in holiday spending patterns. Using 2 million transactions across 2,133 individuals, we investigate the relationship between the Big 5 personality traits on spending at Christmas. Zero-order correlations suggest holiday spending is associated with conscientiousness, neuroticism, and extraversion; the relationship with neuroticism persists after accounting for possible confounders including income and demographics. These results improve our understanding of how different personality traits predict how people respond to the environmental demands of the holiday season and have broader implications for how personality relates to consumer behavior., Competing Interests: Declaration of Conflicting Interests The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Background: There is a need for valid self-report measures of core health-related quality of life (HRQoL) domains., Objective: To derive brief, reliable and valid health profile measures from the Patient Reported Outcomes Measurement Information System ® (PROMIS ® ) item banks., Methods: Literature review, investigator consensus process, item response theory (IRT) analysis, and expert review of scaling results from multiple PROMIS data sets. We developed 3 profile measures ranging in length from 29 to 57 questions. These profiles assess important HRQoL domains with highly informative subsets of items from respective item banks and yield reliable information across mild-to-severe levels of HRQoL experiences. Each instrument assesses the domains of pain interference, fatigue, depression, anxiety, sleep disturbance, physical function, and social function using 4-, 6-, and 8-item short forms for each domain, and an average pain intensity domain score, using a 0-10 numeric rating scale., Results: With few exceptions, all domain short forms within the profile measures were highly reliable across at least 3 standard deviation (30 T-score) units and were strongly correlated with the full bank scores. Construct validity with ratings of general health and quality of life was demonstrated. Information to inform statistical power for clinical and general population samples is also provided., Conclusions: Although these profile measures have been used widely, with summary scoring routines published, description of their development, reliability, and initial validity has not been published until this article. Further evaluation of these measures and clinical applications are encouraged., (Copyright © 2019 ISPOR–The Professional Society for Health Economics and Outcomes Research. Published by Elsevier Inc. All rights reserved.)

Lievens (2017) makes a case for SJTs in personnel selection, a recommendation with which we agree. In particular, we like the emphasis on branching out from current methodologies and using new techniques such as SJTs not only in I/O or personnel selection research but also in basic personality research. Despite our enthusiasm, we point out some flaws, most notably lack a time dimension to SJTs.

Rauthmann, Sherman and Funder have made a landmark contribution to situation research in the target article of this issue. However, we propose that their work overlooks the need to incorporate a developmental perspective. This includes the separate but related issues of time and change . Situations often unfold over long periods of time, can bleed together, and are not time-delimited in the way traditional laboratory experiments define them. Moreover, individuals systematically change over time (lifespan development) and their reactions to situations, as well as their personality-situation transactions, develop in tandem.