Personality and density distributions of behavior, emotions, and situations

Within-Individual Variation in Cognitive Performance Is Not Noise: Why and How Cognitive Assessments Should Examine Within-Person Performance

Despite evidence that it exists, short-term within-individual variability in cognitive performance has largely been ignored as a meaningful component of human cognitive ability. In this article, we build a case for why this within-individual variability should not be viewed as mere measurement error and why it should be construed as a meaningful component of an individual's cognitive abilities. We argue that in a demanding and rapidly changing modern world, between-individual analysis of single-occasion cognitive test scores does not account for the full range of within-individual cognitive performance variation that is implicated in successful typical cognitive performance. We propose that short-term repeated-measures paradigms (e.g., the experience sampling method (ESM)) be used to develop a process account of why individuals with similar cognitive ability scores differ in their actual performance in typical environments. Finally, we outline considerations for researchers when adapting this paradigm for cognitive assessment and present some initial findings from two studies in our lab that piloted the use of ESM to assess within-individual cognitive performance variation.

Psychometric Evaluation of a Big Five Personality State Scale for Intensive Longitudinal Studies

Despite enthusiasm for using intensive longitudinal designs to measure day-to-day manifestations of personality underlying differences between people, the validity of personality state scales has yet to be established. In this study, we evaluated the psychometrics of 20-item and 10-item daily, Big Five personality state scales in three independent samples (N = 1,041). We used multilevel models to separately examine the validity of the scales for assessing personality variation at the between- and within-person levels. Results showed that a five-factor structure at both levels fits the data well, the scales had good convergent and discriminative associations with external variables, and personality states captured similar nomological nets as established global, self-report personality inventories. Limitations of the scales were identified (e.g., low reliability, low correlations with external criterion) that point to a need for more, systematic psychometric work. Our findings provide initial support for the use of personality state scales in intensive longitudinal designs to study between-person traits, within-person processes, and their interrelationship.

Modeling Dynamic Personality Theories in a Continuous-time Framework:An Illustration

Personality psychology has traditionally focused on stable between-person differences. Yet, recent theoretical developments and empirical insights have led to a new conceptualization of personality as a dynamic system (e.g., Cybernetic Big Five Theory). Such dynamic systems comprise several components that need to be conceptually distinguished and mapped to a statistical model for estimation. In the current work, we illustrate how common components from these new dynamic personality theories may be implemented in a continuous-time modeling framework. As an empirical example, we reanalyze experience sampling data from Sherman et al. (2015) with N = 180 persons (with on average T = 40 [SD = 8] measurement occasions) to investigate four different effects between momentary happiness, momentary extraverted behavior, and the perception of a situation as social: (1) between-person effects, (2) contemporaneous effects, (3) autoregressive effects, and (4) cross-lagged effects. We highlight that these four effects must not necessarily point in the same direction, which is in line with assumptions from dynamic personality theories.

Personality dynamics at work: The effects of form, time, and context of variability

The study aimed to investigate the status of within-person state variability in neuroticism and conscientiousness as individual differences constructs by exploring their (a) temporal stability, (b) cross-context consistency, (c) empirical links to selected antecedents, and (d) empirical links to longer term trait variability. Employing a sample of professionals ( N = 346) from Australian organisations, personality state data together with situation appraisals were collected using experience sampling methodology in field and repeatedly in lab-like settings. Data on personality traits, cognitive ability, and motivational mindsets were collected at baseline and after two years. Contingent (situation contingencies) and non-contingent (relative SD) state variability indices were relatively stable over time and across contexts. Only a small number of predictive effects of state variability were observed, and these differed across contexts. Cognitive ability appeared to be associated with state variability under lab-like conditions. There was limited evidence of links between short-term state and long-term trait variability, except for a small effect for neuroticism. Some evidence of positive manifold was found for non-contingent variability. Systematic efforts are required to further elucidate the complex pattern of results regarding the antecedents, correlates and outcomes of individual differences in state variability.

Distinguishing simple and residual consistencies in functionally equivalent and non-equivalent situations: Evidence from experimental and observational longitudinal data

The current work examines consistencies of personality state scores across functionally equivalent and non-equivalent situations. We argue that simple consistency, defined as the correlation between state scores without taking people’s straits into account, needs to be distinguished from residual consistency that does account for traits. The existence of residual consistency reflects systematic interindividual differences in how people respond to situations, above and beyond what is expected from their traits. We examine the level and individual differences in all of these forms of consistency. In four micro-longitudinal studies (total N = 671), participants first provided trait self-ratings and then state ratings, either in response to two situation vignettes presented at separate testing occasions (Studies 1 and 2) or during experience sampling in daily life (Studies 3 and 4). In all studies, simple consistency was substantial, and the level of residual consistency varied with the level of functional equivalence of the situations. Further, individual differences in both simple and residual consistencies were only weakly correlated, suggesting no underlying general factor but only trait-specific consistencies. We conclude that there are consistent individual differences in how people respond to equivalent situations, even when their personality trait scores have been taken into account.

Person-situation dynamics in educational contexts: A self- and other-rated experience sampling study of teachers’ states, traits, and situations

The situations people find themselves in and how they experience them is fundamental to a host of life and work outcomes. However, most research has so far only relied on self-reports and is thus not able to disentangle different situation components. The present study therefore examined the dynamics between self- and other-rated situation characteristics, personality traits, and personality states in an educational setting. One hundred and seventy-three student teachers ( n = 2244–2261 observations) and 94 supervisors ( n = 1110–1122 observations) participated in a 13- or 14-day experience sampling study during student teachers’ internships and rated situations and teachers’ personality states twice daily. Answering three research questions yielded that (1) self-rated traits were mostly not associated with self- or supervisor-rated situation characteristics; (2) self- and supervisor-rated situation characteristics predicted self- and supervisor-rated personality state expressions (although effects were largest for same-rater associations); and (3) there were no interaction effects of traits and situation characteristics on personality state expressions. These results have important theoretical and applied implications as they advance our understanding of person-situation dynamics in an applied setting and suggest that associations between situations and personality states are not solely attributable to common rater effects.

The dynamics, processes, mechanisms, and functioning of personality: An overview of the field

Personality psychology has long focused on structural trait models, but it can also offer a rich understanding of the dynamics, processes, mechanisms, and functioning of individual differences or entire persons. The field of personality dynamics, which works towards such an understanding, has experienced a renaissance in the last two decades. This review article seeks to act as a primer of that field. It covers its historical roots, summarizes current research strands - along with their theoretical backbones and methodologies - in an accessible way, and sketches some considerations for the future. In doing so, we introduce relevant concepts, give an overview of different topics and phenomena subsumed under the broad umbrella term 'dynamics', and highlight the interdisciplinarity as well as applied relevance of the field. We hope this article can serve as a useful overview for scholars within and outside of personality psychology who are interested in the dynamic nature of human behaviour and experience.

A Practical Cross-Sectional Framework to Contextual Reactivity in Personality: Response Times as Indicators of Reactivity to Contextual Cues

Contextual reactivity refers to the degree in which personality states are affected by contextual cues. Research into contextual reactivity has mainly focused on repeated measurement designs. In this paper, we propose a cross-sectional approach to study contextual reactivity. We argue that contextual reactivity can be operationalized as different response processes which are characterized by different mean response times and different measurement properties. We propose a within-person mixture modeling approach that adopts this idea and which enables studying contextual reactivity in cross-sectional data. We applied the model to data from the Revised Temperament and Character Inventory. Results indicate that we can distinguish between two response specific latent states. We interpret these states as a high contextual reactive state and a low contextual reactive state. From the results it appears that the low contextual reactive state is generally associated with smaller response times and larger discrimination parameters, as compared to the high contextual reactivity state. The utility of this approach in personality research is discussed.

Personality Assessment Through the Situational and Behavioral Features of Instagram Photos

Abstract. This study explores whether photos posted on online social networks can be used to assess personality. We have demonstrated that personality is connected to human- and machine-detected situational cues, characteristics, classes, behavior, and affect displayed in Instagram photos. Observations of individual relationships between normal or dark side personality characteristics and situational features of photos give insight into the various aspects of online portrayal of oneself and the personality behind the photos.

Tracking Fluctuations in Psychological States using Social Media Language: A Case Study of Weekly Emotion

Personality psychologists are increasingly documenting dynamic, within–person processes. Big data methodologies can augment this endeavour by allowing for the collection of naturalistic and personality–relevant digital traces from online environments. Whereas big data methods have primarily been used to catalogue static personality dimensions, here we present a case study in how they can be used to track dynamic fluctuations in psychological states. We apply a text–based, machine learning prediction model to Facebook status updates to compute weekly trajectories of emotional valence and arousal. We train this model on 2895 human–annotated Facebook statuses and apply the resulting model to 303 575 Facebook statuses posted by 640 US Facebook users who had previously self–reported their Big Five traits, yielding an average of 28 weekly estimates per user. We examine the correlations between model–predicted emotion and self–reported personality, providing a test of the robustness of these links when using weekly aggregated data, rather than momentary data as in prior work. We further present dynamic visualizations of weekly valence and arousal for every user, while making the final data set of 17 937 weeks openly available. We discuss the strengths and drawbacks of this method in the context of personality psychology's evolution into a dynamic science. © 2020 European Association of Personality Psychology

Lost in Translation: The Construct Representation of Character Virtues

A seemingly universal lesson is that anything taken to its extreme is detrimental. Indeed, there has been growing interest in testing this idea within psychology. These studies have often been framed in terms of Aristotle's doctrine of the golden mean or the idea that virtue lies between the vices of deficiency and excess. Recent explicit reviews of this hypothesis in the psychological literature have led to the paradoxical conclusion that one can have too much virtue (i.e., the too-much-of-a-good-thing effect) despite virtue being identified by the golden mean. We argue in this article that this conclusion is due to a reductionist account of virtues in psychology and the resultant measurement of virtues as general dispositional tendencies in behavior. We review philosophical theory on the golden mean to show that the relationship between virtue and relevant behavior is fundamentally about situation-specific optimality. Using schematic models, we contrast the former measurement approach against the latter to explain the too-much-of-a-good-thing effect and further demonstrate why virtues cannot be properly measured as general tendencies in behavior. We conclude with methodological implications of our theory-informed approach to virtue measurement for research design, evaluation, and conceptualization.

An atlas of personality, emotion and behaviour

A novel two-dimensional matrix taxonomy, or atlas, of personality, emotion and behaviour is presented. The two dimensions of the atlas, affiliation and dominance, are demonstrated to have theoretical foundations in neurobiology and social psychology. Both dimensions are divided into five ordinal categories, creating a square matrix of 25 cells. A new catalogue of 20,669 English words descriptive of personality, emotion, behaviour, and power is also presented. The catalogue is more comprehensive than previous catalogues, and is novel in its inclusion of intrapersonal, group, and societal behaviours. All words in the catalogue were scored according to the atlas, facilitating visualisation in two dimensions. This enabled a contiguous and novel comparison of existing psychological taxonomies, as well as broader societal concepts such as leadership, ethics, and crime. Using the atlas, a novel psychological test is developed with improved sensitivity and specificity.

Relating Neuroticism to Emotional Exhaustion: A Dynamic Approach to Personality

We build on a novel model of personality [PersDyn] that captures three sources of individual differences (here applied to neuroticism): (1) one’s baseline level of behavior, affect, and cognitions (baseline); (2) the extent to which people experience different neuroticism levels (variability); and (3) the swiftness with which they return to their neuroticism baseline once they deviated from it (attractor strength). To illustrate the model, we apply the PersDyn model to the study of the relationship between neuroticism and emotional exhaustion. In the first study, we conducted a 5-day experience sampling study on 89 employees who reported on their level of state neuroticism six times per day. We found that higher levels of baseline neuroticism and variability were related to increased emotional exhaustion. Furthermore, we found an interaction effect between baseline and attractor strength: people with a high baseline and high attractor strength tend to experience a high degree of emotional exhaustion, whereas people with low levels of baseline neuroticism are less likely to suffer from exhaustion if their attractor strength is high. In the second study, we conducted a laboratory experiment on 163 participants, in which we manipulated state neuroticism via short movie clips. Although the PersDyn parameters were not related to post-experiment emotional exhaustion, the interaction effect between baseline and attractor strength was replicated. It is concluded that a dynamic approach to neuroticism is important in understanding emotional exhaustion.

Comedians' Trait Level and Stage Personalities: Evidence for Goal-Directed Personality Adaptation

Recent findings have shown that both trait levels of personality and situational variability in its expression are of importance. So here, the Big Five personality traits of 77 professional and 125 amateur stand-up comedians were compared with two large matched samples (N > 100,000). The comedians were also observed while performing, which enabled a comparison of their stage personalities with situational requirements on 10 selected NEO-PIR facets. Both amateurs and professionals showed higher openness-to-experience, extraversion, and lower conscientiousness than their norm samples, while professionals also evidenced greater neuroticism. Irrespective of trait standing, with regard to most NEO-PIR facets, professionals expressed the appropriate on-stage persona and were better able to regulate their personality to conform to situational requirements than amateurs. This is consistent with research showing that individuals regulate their personality to conform to situational and goal requirements, and adds the finding that successful comedians demonstrate enhanced adaptability compared with amateurs.

Does Intraindividual Variability of Personality States Improve Perspective Taking? An Ecological Approach Integrating Personality and Social Cognition

Research integrating cognitive abilities and personality has focused on the role of personality traits. We propose a theory on the role of intraindividual variability of personality states (hereafter state variability) on perspective taking, in particular, the ability to infer other peoples' mental states. First, we review the relevant research on personality psychology and social cognition. Second, we propose two complementary routes by which state variability relates to anchoring and adjustment in perspective taking. The first route, termed ego-dispersion, suggests that an increased state variability decreases egocentric bias, which reduces anchoring. The second route, termed perspective-pooling, suggests that an increased state variability facilitates efficient adjustment. We also discuss how our theory can be investigated empirically. The theory is rooted in an ecological interpretation of personality and social cognition, and flags new ways for integrating these fields of research.

Investigating the association between social interactions and personality states dynamics

The recent personality psychology literature has coined the name of personality states to refer to states having the same behavioural, affective and cognitive content (described by adjectives) as the corresponding trait, but for a shorter duration. The variability in personality states may be the reaction to specific characteristics of situations. The aim of our study is to investigate whether specific situational factors, that is, different configurations of face-to-face interactions, are predictors of variability of personality states in a work environment. The obtained results provide evidence that within-person variability in personality is associated with variation in face-to-face interactions. Interestingly, the effects differ by type and level of the personality states: adaptation effects for Agreeableness and Emotional Stability, whereby the personality states of an individual trigger similar states in other people interacting with them and complementarity effects for Openness to Experience, whereby the personality states of an individual trigger opposite states in other people interacting with them. Overall, these findings encourage further research to characterize face-to-face and social interactions in terms of their relevance to personality states.