Cross-sectional and longitudinal tests of the Personality and Role Identity Structural Model (PRISM)

A conceptual hierarchy termed the Personality and Role Identity Structural Model, or PRISM, is offered as a framework for incorporating situational information into trait models. PRISM assumes that personality is structured hierarchically with general dispositions subsuming context-specific dispositions (role identities), which, in turn, subsume role-based thoughts, feelings, and behaviors. At Wave 1 (N = 149), we found that general traits account for commonalities across traits measured within role identities and that role identities mediate the relationship between general traits and role criteria. In a longitudinal follow-up of a subsample of the original participants (Wave 2; N = 62), we found that general traits and role-identity traits were more stable than role experiences over time. Also, changes in role experiences were related to changes in role-identity traits, and, in turn, changes in role-identity traits were related to changes in general traits. The potential of PRISM for use in understanding the development of personality traits is discussed.     

Cross-cultural generalizability of the Personality and Role Identity Structural Model (PRISM): Implications for trait and cultural psychology

The cross-cultural generalizability of the Personality and Role Identity Structural Model (PRISM; Wood & Roberts, 2006) was tested in the United States, Mexico, Malaysia, China, and Japan. Participants rated their general and role identities, as defined by the PRISM, using Big Five trait adjectives, then rated their personality states (i.e., role experiences) in various roles in multiple daily interactions for 14 days. Structural predictions based on the PRISM were supported in all five cultures. Cultural differences were limited and did not reflect cultural differences in individualism–collectivism, dialecticism, or cultural tightness. The results supported the cross-cultural generalizability of the PRISM and the merits of contextualized trait measures in the prediction of role experiences. Implications for trait and cultural psychology are discussed.     

The production mechanisms of traits: Reflections on two amazing decades

I am filled with a great deal of gratitude to see the progress, diversity, and excitement of research on within-person variability in personality. I argue for the value of studying states of a diverse array of contents, as represented in this special issue. The value of studying states is represented by four advances states facilitate: (i) evaluating the multipotency of personality; (ii) discovering the production mechanisms by which traits cause trait manifestations; (iiii) testing the causal effects of personality; and (iv) opening up new approaches to questions about personality. I present a series of conceptual commitments that enhance the value of studying states, and then I discuss how and why those conceptual commitments actually do enhance the value of studying states.     

An other perspective on personality: meta-analytic integration of observers' accuracy and predictive validity

The bulk of personality research has been built from self-report measures of personality. However, collecting personality ratings from other-raters, such as family, friends, and even strangers, is a dramatically underutilized method that allows better explanation and prediction of personality's role in many domains of psychology. Drawing hypotheses from D. C. Funder's (1995) realistic accuracy model about trait and information moderators of accuracy, we offer 3 meta-analyses to help researchers and applied psychologists understand and interpret both consistencies and unique insights afforded by other-ratings of personality. These meta-analyses integrate findings based on 44,178 target individuals rated across 263 independent samples. Each meta-analysis assessed the accuracy of observer ratings, as indexed by interrater consensus/reliability (Study 1), self-other correlations (Study 2), and predictions of behavior (Study 3). The results show that although increased frequency of interacting with targets does improve accuracy in rating personality, informants' interpersonal intimacy with the target is necessary for substantial increases in other-rating accuracy. Interpersonal intimacy improved accuracy especially for traits low in visibility (e.g., Emotional Stability) but only minimally for traits high in evaluativeness (e.g., Agreeableness). In addition, observer ratings were strong predictors of behaviors. When the criterion was academic achievement or job performance, other-ratings yielded predictive validities substantially greater than and incremental to self-ratings. These findings indicate that extraordinary value can gained by using other-reports to measure personality, and these findings provide guidelines toward enriching personality theory. Various subfields of psychology in which personality variables are systematically assessed and utilized in research and practice can benefit tremendously from use of others' ratings to measure personality variables.     

Team effectiveness: beyond skills and cognitive ability.

On the basis of job analysis results, the validity of using measures of general cognitive ability, job-specific skills, and personality traits jointly at both the individual level and the group level to predict the performance of 79 four-person, human resource work teams was evaluated. Team member trait and job skill scores were aggregated with a conjunctive model of task performance. At the individual level of analysis, measures of personality (i.e., Agreeableness and Conscientiousness) predicted peer ratings of team member performance beyond measures of job-specific skills and general cognitive ability. Similarly, at the group level of analysis, both Agreeableness and Conscientiousness predicted supervisor ratings of work team performance, objective measures of work team accuracy, and work completed. At both the individual and group levels, the trait of Agreeableness predicted Interpersonal Skills.     

What we think we do (to each other): how personality can bias behavior schemas through the projection of if-then profiles

People's knowledge about others includes not only person schemas about the typical traits of others but also behavior schemas about the likely interpersonal consequences of different behaviors. In this article, it is argued that perceiver effects can be interactive at the level of behavior schemas. A person's own personality configuration of if-then responses in social interactions (Mischel & Shoda, 1995) may contribute to that person's beliefs about the meaning and impact of relational behaviors more generally. In consequence, people who experience strong (or weak) responses to behaviors that vary along a particular trait dimension, such as warmth-coldness, may expect others to experience similarly strong (or weak) responses to those same kinds of behaviors. In 3 studies, people who were high in trait communion expected others to respond more strongly to behaviors that varied in warmth-coldness than did people who were low in trait communion, and people who were low in trait agency expected others to respond more strongly to behaviors that varied in assertiveness-unassertiveness than did people who were high in trait agency. Studies 2 and 3 provided evidence that participants' behavior schemas were based on assumptions derived from their own if-then personality profiles.     

Personality links to anger: Evidence for trait interaction and differentiation across expression style

Anger is a commonly experienced emotion, although marked individual differences in the expression of anger are observed. Basic dimensions of personality (e.g., Big Five traits) have been shown to predict the experience of trait anger; however, little work has addressed the personality correlates of broader conceptualisations of trait anger (e.g., inward or outward expressions). Additionally, while some recent work has suggested that basic personality traits may show interactive influences on anger expression this work has yet to be independently confirmed. In a large sample of adults we examined, firstly, how Big Five traits associated with several components of anger as measured by the State-Trait Anger Expression Inventory. Secondly, we examined whether these associations were further qualified by interactions between Big Five traits. Results indicated neuroticism and, to a lesser extent, (low) agreeableness, were the traits most associated with components of trait anger. Conscientiousness and extraversion were also noted to show links to more focal components of anger. Moderation was observed: conscientiousness moderated neuroticism’s relationship with anger control, and agreeableness and conscientiousness, in a three-way interaction, moderated neuroticism’s relationship with trait anger. These observations help to further clarify the role of Big Five personality traits as a foundation for the experiences of anger, demonstrating how anger style varies across personality configuration.     

Low accuracy in judgments of others' psychological well-being as seen from a phenomenological perspective

The generally low degree of agreement between self-ratings on personality traits and ratings by others may be interpreted from the viewpoint that self-reports reflect people's experience of themselves but not necessarily their behaviors. A detailed analysis of self and other ratings on subjective well-being as a central dimension of human experience is consistent with this phenomenological view. Ratings of well-being were not significantly correlated with rated behaviors either in self-ratings or in ratings by others. Screening subjects in terms of avowed consistency and observability on a trait did not improve self-other agreement for well-being, nor did it replicate the individual trait effects reported by Kenrick and Stringfield (1980). Judgments by others were found to have poor interjudge reliability and to reflect biases associated with projection of own well-being and a halo effect organized around the subject's perceived friendliness or likability. It was demonstrated that pooling the judgments of several observers should not and does not lead to accurate prediction of the phenomenal personality, and that accuracy may generally depend on the level of self-disclosure.     

Psychopathology, childhood trauma, and personality traits in patients with borderline personality disorder and their sisters

The aim of this study was to document and compare adverse childhood experiences, and personality profiles in women with borderline personality disorder (BPD) and their sisters, and to determine how these factors impact current psychopathology. Fifty-six patients with BPD and their sisters were compared on measures assessing psychopathology, personality traits, and childhood adversities. Most sisters showed little evidence of psychopathology. Both groups reported dysfunctional parent-child relationships and a high prevalence of childhood trauma. Subjects with BPD reported experiencing more emotional abuse and intrafamilial sexual abuse, but more similarities than differences between probands and sisters were found. In multilevel analyses, personality traits of affective instability and impulsivity predicted DIB-R scores and SCL-90-R scores, above and beyond trauma. There were few relationships between childhood adversities and other measures of psychopathology. Sensitivity to adverse experiences, as reflected in the development of psychopathology, appears to be influenced by personality trait profiles.     

Therapy experience in naturalistic observational studies is associated with negative changes in personality

Recent research has shown that personality traits change as a result of clinical therapy, although evidence for this effect is derived from efficacy studies that reflect relatively controlled experimental designs. Little is known about how therapy in real world contexts affects change in personality. In two longitudinal studies (N’s = 1270 and 5217), the present research examined whether personality trait change was associated with therapy experience. Propensity score matching was used to compare trajectories of personality trait change in individuals with and without therapy experiences. Overall, therapy experiences were associated with significant increases in undesirable traits and markers (e.g., chronic stress, depression, neuroticism), and significant decreases in desirable traits (e.g., self-esteem, conscientiousness).     

Identification Problems in Personality Psychology

This paper discusses and illustrates identification problems in personality psychology. The measures used by psychologists to infer traits are based on behaviors, broadly defined. These behaviors are produced from multiple traits interacting with incentives in situations. In general, measures are determined by these multiple traits and do not identify any particular trait unless incentives and other traits are controlled for. Using two data sets, we show, that substantial portions of the variance in achievement test scores and grades, which are often used as measures of cognition, are explained by personality variables.     

Five Robust Trait Dimensions: Development, Stability, and Utility

Interest has grown in recent years in a five-factor model for the organization of personality characteristics. A brief history of the development of this model is given. It is evident that the model is very general, across variations in raters and ratees and across languages. There is also evidence that the structure of personality inventories reflects this model. Although most of the studies that have demonstrated the model have utilized either self-report inventories or have relied on ratings, there is clear evidence that both ratings and inventories are importantly related to actual behavior. A longitudinal study of children's personality traits is reported. Evidence for the five-factor model is examined, including data for the stability over time of characteristics organized in terms of the model. One trait of particular focus in this study has been Factor 3, often interpreted as Conscientiousness but here referred to as Will to Achieve because of its high correlations with formal measures of educational achievement. Studies indicate that this dimension is responsible for much of the variance in achievement left unexplained by aptitude measures.     

Contextualizing neuroticism in the Hierarchical Taxonomy of Psychopathology

Neuroticism is the personality trait most consistently and strongly connected to psychopathology. The majority of research on the relationship between traits and mental illness has focused on neuroticism’s connection with broad psychopathology spectra or discrete disorders. However, both personality and psychopathology are hierarchically-organized domains that may be examined at multiple levels of fidelity and bandwidth from very specific thoughts, feelings, and behaviors (i.e., nuance traits or symptoms) to very broad patterns indexing many interrelated tendencies (i.e., general factors). The Hierarchical Taxonomy of Psychopathology (HiTOP) is a recently proposed nosologic framework for psychopathology symptoms and domains that accounts for this tiered organization. Here, we illustrate how neuroticism-psychopathology relationships—both what is known and unknown—may be elucidated through the HiTOP system.     

Social Trait Information in Deep Convolutional Neural Networks Trained for Face Identification

Faces provide information about a person's identity, as well as their sex, age, and ethnicity. People also infer social and personality traits from the face — judgments that can have important societal and personal consequences. In recent years, deep convolutional neural networks (DCNNs) have proven adept at representing the identity of a face from images that vary widely in viewpoint, illumination, expression, and appearance. These algorithms are modeled on the primate visual cortex and consist of multiple processing layers of simulated neurons. Here, we examined whether a DCNN trained for face identification also retains a representation of the information in faces that supports social‐trait inferences. Participants rated male and female faces on a diverse set of 18 personality traits. Linear classifiers were trained with cross validation to predict human‐assigned trait ratings from the 512 dimensional representations of faces that emerged at the top‐layer of a DCNN trained for face identification. The network was trained with 494,414 images of 10,575 identities and consisted of seven layers and 19.8 million parameters. The top‐level DCNN features produced by the network predicted the human‐assigned social trait profiles with good accuracy. Human‐assigned ratings for the individual traits were also predicted accurately. We conclude that the face representations that emerge from DCNNs retain facial information that goes beyond the strict limits of their training.     

The accuracy of roommate ratings of behaviors versus beliefs

We evaluated the accuracy of peer ratings of roommates’ personality characteristics, against roommate self-ratings, as a function of rating domain observability. Instead of the usual ratings of broad personality traits, however, our domains represented peer ratings of narrow exemplars of personality traits. Specifically, we compared roommate ratings on (a) observable trait-related behaviors with (b) unobservable trait-related attitudes or beliefs. We observed greater self-peer agreement in rating behaviors, in general, than in rating beliefs. We also observed greater tendency of raters to adopt an assumed similarity heuristic when judging their roommates’ attitudes and beliefs than their behaviors. We discuss the contribution of these findings to understanding the determinants of accuracy in personality judgments and developing best practices for personality assessment.     

Stereotypic and nonstereotypic sex role trait and behavior orientations, gender identity, and psychological adjustment

This study examines the relations among sex role trait and behavior orientations, gender identity, and psychological adjustment in order to test traditional and contemporary perspectives regarding the adjustment implications of stereotypic and nonstereotypic sex role trait and behavior orientations. Measures of sex role personality traits and behaviors and scales assessing depression, anxiety, and social maladjustment were administered to 235 college men and women. In addition, subjects completed measures of gender identity and gender adequacy. Contrary to traditional perspectives, androgynous men and women and cross-sex-typed women were no less well adjusted than sex-typed individuals. However, consistent with traditional perspectives, men who were low in masculine characteristics (and men and women low in both masculine and feminine characteristics) did appear less well adjusted on measures of depression, anxiety, and social maladjustment. Furthermore, low masculinity men had less secure gender identities. No such gender identity disturbances were found in women.     

The Impact of Contextual Self‐Ratings and Observer Ratings of Personality on the Personality–Performance Relationship1

This study examined 2 possible ways of increasing the predictive validity of personality measures: using observer (i.e., supervisor and coworker) ratings and work‐specific self‐ratings of Big Five personality factors. Results indicated that among general self‐ratings of Big Five personality dimensions, Conscientiousness was the best predictor of in‐role performance, and Agreeableness and Emotional Stability were the best predictors of organizational citizenship behavior (OCB). Observer ratings of personality accounted for incremental variance in job performance (in‐role performance and OCB) beyond that accounted for by general self‐ratings. However, contrary to our expectations, work‐specific (i.e., contextual) self‐ratings of personality generally did not account for incremental variance in job performance beyond that accounted for by general self‐ratings.     

Personality assessment in the Great Apes: Comparing ecologically valid behavior measures, behavior ratings, and adjective ratings

Three methods of personality assessment (behavior measures, behavior ratings, adjective ratings) were compared in 20 zoo-housed Great Apes: bonobos (Pan paniscus), chimpanzees (Pan troglodytes verus), gorillas (Gorilla gorilla gorilla), and orangutans (Pongo pygmaeus abelii). To test a new bottom-up approach, the studied trait constructs were systematically generated from the species’ behavioral repertoires. The assessments were reliable, temporally stable, and showed substantial cross-method coherence. In most traits, behavior ratings mediated the relations between adjective ratings and behavior measures. Results suggest that high predictability of manifest behavior is best achieved by behavior ratings, not by adjectives. Empirical evidence for trait constructs beyond current personality models points to the necessity of broad and systematic approaches for valid inferences on a species’ personality structure.