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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]

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]

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]

Recent findings in psychological research have begun to illuminate cognitive and neural mechanisms of imagination and mental imagery, and have highlighted its essential role for a number of important outcomes, including outcomes relevant for the study of psychopathology and psychotherapy. Scientific study of imagination, however, has been constrained by the virtue of being framed mainly as an ability for mental imagery. Here we propose that imagination is a widespread phenomenon that we all engage in, and which affects a wide range of important outcomes beyond more commonly studied constructs like creativity. Thus, the Four-Factor Imagination Scale (FFIS) focuses on features of the imaginative process, and measures imagination in terms of individual differences in those features, including frequency, complexity, emotional valence, and directedness of imagination. Study 1 consisted of construct elicitation and generation of a large pool of candidate survey items. Study 2 (N = 378) conducted exploratory quantitative analysis on the preliminary pool of candidate items in a larger sample, revealing four distinct factors of the designed items. Study 3 (N = 10,410) confirmed the structure of the preliminary items, and reported internal consistency and unidimensionality, as well as convergent and discriminant validity of the resultant scales. The FFIS confirms that imagination is multi-faceted in nature, and is better approached as a constellation of more narrowly measurable constructs. [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]

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 ability to locate and orient ourselves with respect to environmental space is known as sense of direction (“SOD”). While there is considerable evidence for the predictive utility of self-report measures of this psychological construct, relatively little research has investigated the psychometric properties of the self-report scale by which it is most commonly measured – the Santa Barbara Sense of Direction scale (SBSOD, Hegarty et al., 2002) – or the broader personality correlates. The present study evaluated the factor structure of the SBSOD following administration to 12,155 individuals and situated it among prominent sources of individual differences, specifically the Big Five personality traits and intelligence. Findings suggest that the SBSOD scale has relatively high general factor saturation, and that a considerable portion of the variance in SBSOD scores is explained by other personality traits, including Conscientiousness ( r = 0.33), Intellect ( r = 0.27), Emotional Stability ( r = 0.26), and Extraversion ( r = 0.23). Cognitive ability was less highly correlated with SBSOD scores when measured at the level of general intelligence ( r = 0.11) and in terms of mental rotation ability ( r = .07). Recommendations are given for revision of the SBSOD scale based on item-level analyses. [ABSTRACT FROM AUTHOR]

People differ. How and why they differ are the fundamental questions for personality psychologists. In this article we address three levels at which people differ: within individuals, between individuals, and between groups of individuals. A dynamic model of personality is considered where traits are seen as rates of change in states in response to environmental cues. Within individuals, motivational and behavioral states show inertial properties and lead to an analysis of rates of change and latencies of behavior. Between individuals, the analysis is one of frequency and duration of choices. When individuals self select into groups reflecting shared interests and abilities, the structure of these group differences reflects the consequences of the self selection. Examples of the dynamic model are given for each level of analysis. [ABSTRACT FROM AUTHOR]

Abstract: For all of its versatility and sophistication, the extant toolkit of cognitive ability measures lacks a public-domain method for large-scale, remote data collection. While the lack of copyright protection for such a measure poses a theoretical threat to test validity, the effective magnitude of this threat is unknown and can be offset by the use of modern test-development techniques. To the extent that validity can be maintained, the benefits of a public-domain resource are considerable for researchers, including: cost savings; greater control over test content; and the potential for more nuanced understanding of the correlational structure between constructs. The International Cognitive Ability Resource was developed to evaluate the prospects for such a public-domain measure and the psychometric properties of the first four item types were evaluated based on administrations to both an offline university sample and a large online sample. Concurrent and discriminative validity analyses suggest that the public-domain status of these item types did not compromise their validity despite administration to 97,000 participants. Further development and validation of extant and additional item types are recommended. [Copyright &y& Elsevier]

Identifying the factors that predict non-adherence to recommended preventive pediatric care is necessary for the development of successful interventions to improve compliance. Given the substantial decline in well-child visits and influenza vaccinations, we sought to examine sociodemographic (i.e., parent age, education, employment status, child age, insurance coverage, household size, race and ethnicity, income, COVID-19 incidence in state) and psychosocial (i.e., child temperament, parent mental health, parent personality traits) factors associated with preventative pediatric care (well-child visits, influenza vaccines) during the COVID-19 pandemic. As part of a larger, ongoing study, 1875 parents (96% mothers, 65% age 35 or younger, 58% with a college degree) reported whether they had missed any recommended or scheduled well-child visits since the pandemic and whether they had vaccinated their child against the flu. Using data collected during fall 2020, we examine differences in these health outcomes across social/demographic factors and psychological profiles. In addition, we use lasso logistic regression models to (1) estimate the accuracy with which we can predict adherence from these characteristics and (2) identify factors most strongly, independently associated with adherence. Parent psychological factors were associated with outcomes above and beyond known demographic and social factors. For example, parent industriousness and orderliness were associated with greater likelihoods of attending well-child visits and vaccinating children, while parent conservatism and creativity were associated with lower rates. We also replicate prior work documenting that health insurance, income, and household size are major factors in receiving adequate pediatric care. Adherence to preventive pediatric care varies as a function of psychological factors, suggesting that the current system of pediatric care favors some psychological profiles over others. However, the specific traits associated with non-adherence point to potentially fruitful interventions, specifically around increasing functional proximity. • Socio-demographic and parent personality/mental-health linked to pediatric care. • Parent industry and conservatism linked to well-child visits and flu vaccines. • Intervention design and targeting could aid adherence to pediatric care schedule. [ABSTRACT FROM AUTHOR]

The assessment of creativity as an individual difference has historically focused on divergent thinking, which is increasingly viewed as involving the associative processes that are also understood to be a key component of creative potential. Research on associative processes has proliferated in many sub-fields, often using Compound Remote Associates (CRA) tasks with an open response format and relatively small participant samples. In the present work, we introduce a new format that is more amenable to large-scale data collection in survey designs, and present evidence for the reliability and validity of CRA measures in general using multiple large samples. Study 1 uses a large, representative dataset (N = 1,323,480) to demonstrate strong unidimensionality and internal consistency (α = .97; ωt = .87), as well as links to individual differences in temperament, cognitive ability, occupation, and job characteristics. Study 2 uses an undergraduate sample (N = 685) to validate the use of a multiple-choice format relative to the traditional approach. Study 3 uses a crowdsourced sample (N = 357) to demonstrate high test–retest reliability of the items (r =.74). Finally, Study 4 uses a sample that overlaps with Study 1 (N = 1,502,922) to provide item response theory (IRT) parameters for a large set of high-quality CRA items that use a multiple-choice response mode, thus facilitating their use in future research on creativity, insight, and related topics. [ABSTRACT FROM AUTHOR]

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]

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]

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]

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]

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]

Compared to European countries, research is limited regarding if the Flynn effect, or its reversal, is a current phenomenon in the United States. Though recent research on the United States suggests that a Flynn effect could still be present, or partially present, among child and adolescent samples, few studies have explored differences of cognitive ability scores among US adults. Thirteen years of cross-sectional data from a subsample of adults (n = 394,378) were obtained from the Synthetic Aperture Personality Assessment Project (SAPA Project) to examine if cognitive ability scores changed within the United States from 2006 to 2018. Responses to an overlapping set of 35 (collected 2006–2018) and 60 (collected 2011–2018) items from the open-source multiple choice intelligence assessment International Cognitive Ability Resource (ICAR) were used to examine the trends in standardized average composite cognitive ability scores and domain scores of matrix reasoning, letter and number series, verbal reasoning, and three-dimensional rotation. Composite ability scores from 35 items and domain scores (matrix reasoning; letter and number series) showed a pattern consistent with a reversed Flynn effect from 2006 to 2018 when stratified across age, education, or gender. Slopes for verbal reasoning scores, however, failed to meet or exceed an annual threshold of |0.02| SD. A reversed Flynn effect was also present from 2011 to 2018 for composite ability scores from 60 items across age, education, and gender. Despite declining scores across age and demographics in other domains of cognitive ability, three-dimensional rotation scores showed evidence of a Flynn effect with the largest slopes occurring across age stratified regressions. • A reverse Flynn effect was found for composite ability scores with large US adult sample from 2006 to 2018 and 2011 to 2018. • Domain scores of matrix reasoning, letter and number series, verbal reasoning showed evidence of declining scores. • Three-dimensional rotation scores generally increased from 2011 to 2018. • Differences in ability scores were present regardless of age, education, or gender. • The steepest slopes occurred for ages 18–22 and lower levels of education. [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]

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]

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]

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]

We discuss methods of data collection and analysis that emphasize the power of individual personality items for predicting real world criteria (e.g., smoking, exercise, self-rated health). These methods are borrowed by analogy from radio astronomy and human genomics. Synthetic Aperture Personality Assessment (SAPA) applies a matrix sampling procedure that synthesizes very large covariance matrices through the application of massively missing at random data collection. These large covariance matrices can be applied, in turn, in Persome Wide Association Studies (PWAS) to form personality prediction scores for particular criteria. We use two open source data sets (N=4,000 and 126,884 with 135 and 696 items respectively) for demonstrations of both of these procedures. We compare these procedures to the more traditional use of "Big 5" or a larger set of narrower factors (the "little 27"). We argue that there is more information at the item level than is used when aggregating items to form factorially derived scales. [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]

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]

Although the measurement of intelligence is important, researchers sometimes avoid using them in their studies due to their history, cost, or burden on the researcher. To encourage the use of cognitive ability items in research, we discuss the development and validation of the International Cognitive Ability Resource (ICAR), a growing set of items from 19 different subdomains. We consider how these items might benefit open science in contrast to more established proprietary measures. A short summary of how these items have been used in outside studies is provided in addition to ways we would love to see the use of public-domain cognitive ability items grow. [ABSTRACT FROM AUTHOR]