Assessing the Structure of the Five Factor Model of Personality (IPIP-NEO-120) in the Public Domain

A tutorial on open-source large language models for behavioral science

Large language models (LLMs) have the potential to revolutionize behavioral science by accelerating and improving the research cycle, from conceptualization to data analysis. Unlike closed-source solutions, open-source frameworks for LLMs can enable transparency, reproducibility, and adherence to data protection standards, which gives them a crucial advantage for use in behavioral science. To help researchers harness the promise of LLMs, this tutorial offers a primer on the open-source Hugging Face ecosystem and demonstrates several applications that advance conceptual and empirical work in behavioral science, including feature extraction, fine-tuning of models for prediction, and generation of behavioral responses. Executable code is made available at github.com/Zak-Hussain/LLM4BeSci.git . Finally, the tutorial discusses challenges faced by research with (open-source) LLMs related to interpretability and safety and offers a perspective on future research at the intersection of language modeling and behavioral science.

Swedish maternity care professionals' perception of labor induction

BACKGROUND

Sweden recently adopted new labor induction guidelines lowering the threshold for post-term pregnancies to 41+ weeks. Despite evidence-based foundation, these guidelines stirred controversy among maternity care professionals, who voiced concerns about potential risks and unintended consequences, such as a rising Caesarean section rate. Midwives also highlighted potential impacts on their roles, workload, and working environment; implications that could affect obstetricians and gynecologists as well. Investigating Swedish maternity care professionals' views on labor induction could benefit policymakers, managers, and birthing women alike.

AIM

The aim of this study was to describe and compare midwives to obstetricians/gynecologists, with regards to their views on labor induction, and how this relates to other work-related variables such as overall job satisfaction, clinical experience, gender, age, personality, and workload.

METHODS

Swedish midwives (N = 207, 99 % women, M = 45.2 years), and obstetricians/gynecologists (N = 240, 83 % women, M = 44.3 years) responded to an online questionnaire reflecting aspects of maternity care work. The data was analyzed using Welch's t-test and Pearson's correlation analysis.

RESULTS

A large difference was observed in labor induction views between midwives and obstetricians/gynecologists (d = 1.39), as well as lower job satisfaction with midwives (d = -0.26). Overall job satisfaction further correlated negatively with views on labor induction (r = -0.30).

CONCLUSIONS

Labor inductions might pose challenges to midwives and could bring to light underlying tensions between obstetricians/gynecologists and midwives. Given the modest response rate of the study, we cautiously suggest that while the development of new maternity care guidelines should be grounded in evidence, they should also embrace concerns and insights from a diversity of professional perspectives.

Linking grandiose and vulnerable narcissism to managerial work performance, through the lens of core personality traits and social desirability

While grandiose narcissism is well-studied, vulnerable narcissism remains largely unexplored in the workplace context. Our study aimed to compare grandiose and vulnerable narcissism among managers and people from the general population. Within the managerial sample, our objective was to examine how these traits diverge concerning core personality traits and socially desirable responses. Furthermore, we endeavored to explore their associations with individual managerial performance, encompassing task performance, contextual performance, and counterproductive work behavior (CWB). Involving a pool of managerial participants (N = 344), we found that compared to the general population, managers exhibited higher levels of grandiose narcissism and lower levels of vulnerable narcissism. While both narcissistic variants had a minimal correlation (r = .02) with each other, they differentially predicted work performance. Notably, grandiose narcissism did not significantly predict any work performance dimension, whereas vulnerable narcissism, along with neuroticism, predicted higher CWB and lower task performance. Conscientiousness emerged as the strongest predictor of task performance. This study suggests that organizations might not benefit from managers with vulnerable narcissism. Understanding these distinct narcissistic variants offers insights into their impacts on managerial performance in work settings.

Augmenting complex and dynamic performance through mindfulness-based cognitive training: An evaluation of training adherence, trait mindfulness, personality and resting-state EEG

Human performance applications of mindfulness-based training have demonstrated its utility in enhancing cognitive functioning. Previous studies have illustrated how these interventions can improve performance on traditional cognitive tests, however, little investigation has explored the extent to which mindfulness-based training can optimise performance in more dynamic and complex contexts. Further, from a neuroscientific perspective, the underlying mechanisms responsible for performance enhancements remain largely undescribed. With this in mind, the following study aimed to investigate how a short-term mindfulness intervention (one week) augments performance on a dynamic and complex task (target motion analyst task; TMA) in young, healthy adults (n = 40, age range = 18-38). Linear mixed effect modelling revealed that increased adherence to the web-based mindfulness-based training regime (ranging from 0-21 sessions) was associated with improved performance in the second testing session of the TMA task, controlling for baseline performance. Analyses of resting-state electroencephalographic (EEG) metrics demonstrated no change across testing sessions. Investigations of additional individual factors demonstrated that enhancements associated with training adherence remained relatively consistent across varying levels of participants' resting-state EEG metrics, personality measures (i.e., trait mindfulness, neuroticism, conscientiousness), self-reported enjoyment and timing of intervention adherence. Our results thus indicate that mindfulness-based cognitive training leads to performance enhancements in distantly related tasks, irrespective of several individual differences. We also revealed nuances in the magnitude of cognitive enhancements contingent on the timing of adherence, regardless of total volume of training. Overall, our findings suggest that mindfulness-based training could be used in a myriad of settings to elicit transferable performance enhancements.

Identifying overcontrol and undercontrol personality types among young people using the five factor model, and the relationship with disordered eating behaviour, anxiety and depression

BACKGROUND

Overcontrol and undercontrol personality types have been associated with an increase in eating pathology, depression and anxiety. The aim of the research was to explore whether latent overcontrol and undercontrol personality types could be identified using cluster analysis of the facets of the five factor model (FFM). We further aimed to understand how these personality types were associated with eating pathology, depressed mood and anxiety.

METHODS

A total of 561 participants (394 women and 167 men), aged 16-30 years in Australia completed a survey designed to assess disordered eating, FFM personality traits, anxiety, depression and stress. A systematic four-step process using hierarchical, k-means, and random forest cluster analyses were used to identify a meaningful 3-cluster solution.

RESULTS

The results revealed a cluster solution that represented overcontrol, undercontrol and resilient personality types, and highlighted facets of the FFM that were associated with each type. Both overcontrol and undercontrol personality types were associated with increased clinical symptoms compared to the resilient types.

CONCLUSIONS

It was concluded that FFM facets may potentially be more meaningful than broad domains in identifying personality types, and that both overcontrol and undercontrol personality types are likely associated with increased clinical symptoms.

Personality traits and decision-making styles among obstetricians and gynecologists managing childbirth emergencies

The successful management of a childbirth emergency will be dependent on the decision-making of involved obstetricians and gynecologists. Individual differences in decision-making may be explained through personality traits. The objectives of the present study were (I) to describe personality trait levels of obstetricians and gynecologists and (II) to examine the relationship between obstetricians' and gynecologists' personality traits and decision-making styles (Individual, Team and Flow) in childbirth emergencies; also controlling for cognitive ability (ICAR-3), age, sex and years of clinical experience. Obstetricians and gynecologists, members of the Swedish Society for Obstetrics and Gynecology (N = 472) responded to an online questionnaire that included a simplified version of the Five Factor Model of personality (IPIP-NEO), and 15 questions concerning childbirth emergencies based on a model of decision-making styles (Individual, Team and Flow). The data was analyzed using Pearson's correlation analysis and multiple linear regression. Swedish obstetricians and gynecologists scored (P < 0.001) lower on Neuroticism (Cohen's d = - 1.09) and higher on Extraversion (d = 0.79), Agreeableness (d = 1.04) and Conscientiousness (d = 0.97) compared to the general population. The most important trait was Neuroticism, which correlated with the decision-making styles Individual (r = - 0.28) and Team (r = 0.15), while for example Openness only trivially correlated with Flow. Multiple linear regression showed that personality traits with covariates explained up to 18% of decision-making styles. Obstetricians and gynecologists have notably more distinct personality levels than the general population, and their personality traits relate to decision-making in childbirth emergencies. The assessment of medical errors in childbirth emergencies and prevention through individualized training should take account of these findings.

One size does not fit all: Exploring how the five-factor model facets predict disordered eating behaviours among adolescent and young adult males and females

There is a wealth of research that has highlighted the relationship between personality and eating disorders. It has been suggested that understanding how subclinical disordered eating behaviours are uniquely associated with personality can help to improve the conceptualization of individuals with eating disorders. This study aimed to explore how the facets of the Five-Factor Model (FFM) predicted restrictive eating, binge eating, purging, chewing and spitting, excessive exercising and muscle building among males and females. An online survey assessing disordered eating behaviours, FFM and general psychopathology was completed by 394 females and 167 males aged between 16 and 30 years. Simultaneous equations path models were systematically generated for each disordered eating behaviour to identify how the FFM facets, body dissatisfaction and age predicted behaviour. The results indicated that each of the six disordered behaviours were predicted by a unique pattern of thinking, feeling and behaving. Considerable differences between males and females were found for each path model, suggesting differences between males and females in the personality traits that drive disordered eating behaviours. It was concluded that it is important to take personality into account when treating males and females who engage in disordered eating behaviours.

An Investigation of the Relationship between Personality, Cognitive Ability, and Work Engagement in Intellectually Gifted Individuals

Do personality traits in highly intelligent individuals relate to their work engagement? Seemingly little is known about the relationship between personality and work engagement for gifted individuals. In what may be the first study to do so, a Swedish Mensa sample (n = 353) was explored with a two-part aim: to assess psychometric personality properties and to investigate the relationship between personality traits (Mini-IPIP6) and work engagement (UWES-9). The results of the Mensa members and the Mturk sample (1.4 SD lower in cognitive ability based on ICAR-16) were compared using a confirmatory factor analysis (CFA) and a regression. The findings indicated that the Mensa sample had higher openness (d = .50) and honesty-humility (d = .65) and that personality traits were similarly related to work engagement in both groups, with the exception that neither openness nor honesty-humility were related to work engagement in the Mensa sample. The characteristics of intellectually gifted individuals are further discussed.

Personality and Affective Correlates of Openness to Experience from Big Five and HEXACO Personality Models: The Dual Nature of Big Five Openness

Openness to Experience is considered to be one of the broadest personality traits. Different operationalizations of Openness to Experience within and between personality models incorporate various features of this trait. Differences in Openness facets across inventories may lead to differences in relation to certain outcomes. Hence, the current study looked to explore the personality and affective correlates of Openness domains and facets from the Big Five and HEXACO model. The sample consisted of 540 participants who completed measures assessing Openness to Experience domains and facets from Big Five and HEXACO, schizotypy, Disintegration, need for cognition, subjective well-being, and mania. Results revealed that schizotypy and Disintegration had mostly non-significant correlations with Openness domains from both models. However, multiple facets of Openness had significant both positive and negative correlations with these constructs. In contrast to HEXACO, Openness from the Big Five model could be presented with two distinct subdomains. The Pure Openness subdomain is related to higher mania, while Pure Intellect is associated with lower schizotypy, higher well-being, and higher need for cognition. Our results suggest that measuring Openness at lower structural levels provides us with more nuanced patterns of relationships among constructs.

Know Thyself! Predicting Subjective Well-Being from personality estimation discrepancy and self-insight

Discrepancies in views of the Self are suggested to be negatively related to well-being (Higgins, 1987). In the present study, we used a novel concept, Personality Estimation Discrepancy (PED), to test this classic idea. PED is defined as the computed difference between how one view oneself (Self-Perceived Personality) and a standard Big Five test (IPIP-NEO-30). In a pre-registered (osf.io) UK online study (N = 297; Mage = 37, SD = 14) we analyzed: (1) whether PED would predict Subjective Well-Being (SWB; Harmony in Life, Satisfaction with Life, Positive affect, Negative Affect) and Self-Insight, and (2) whether Self-Insight would mediate the relationship between PED and SWB. The results showed that underestimation of Extraversion, Conscientiousness, and Emotional Stability indeed is associated with both high SWB and high Self-Insight. However, these effects mostly disappeared when controlling for the Big Five test scores. Furthermore, Self-Insight largely (42.9%) mediated the relationship between the mis-estimation and SWB. We interpret these finding such that the relationship of mis-estimating one's personality with SWB and Self-Insight are mostly explained by the Big Five factors, yet the discrepancy is a dependent feature of scoring particularly high or low on certain personality traits.

Supplementary Information

The online version contains supplementary material available at 10.1007/s12144-022-03396-1.

Mapping Political Trust and Involvement in the Personality Space - A Meta-Analysis and New Evidence

OBJECTIVE

Relations between the Big Five personality dispositions and individual differences in political trust and involvement in politics have been investigated in many studies. We aimed to systematically integrate these findings and further explore the correlations at different hierarchical levels of the Big Five and political trust and involvement.

METHOD

We conducted a meta-analysis of 43 publications (N₁ = 207,360 participants) and estimated latent correlations at different hierarchical levels using two additional samples (N₂ = 988 and N₃ = 795).

RESULTS

The meta-analysis revealed substantial correlations between involvement and openness (+), extraversion (+), and neuroticism (-), but only small correlations between trust and the Big Five. We also found a substantial amount of inconsistency in findings across studies. Our additional analyses showed that (a) correlations with the Big Five were larger for higher-order factors of general political trust (as opposed to subdimensions such as trust in politicians) and general political involvement (as opposed to subdimensions such as political interest) and (b) correlational patterns within each Big Five domain differed across facets.

CONCLUSION

Our analyses indicate that political involvement is more strongly linked to the Big Five than political trust. We discuss the theoretical and empirical relevance of hierarchical constructs.

When a Truly Positive Correlation Turns Negative: How Different Approaches to Model Hierarchically Structured Constructs Affect Estimated Correlations to Covariates

Many constructs in personality psychology assume a hierarchical structure positing a general factor along with several narrower subdimensions or facets. Different approaches are commonly used to model such a structure, including higher-order factor models, bifactor models, single-factor models based on the responses on the observed items, and single-factor models based on parcels computed from the mean observed scores on the subdimensions. The present article investigates the consequences of adopting a certain approach for the validity of conclusions derived from the thereby obtained correlation of the most general factor to a covariate. Any of the considered approaches may closely approximate the true correlation when its underlying assumptions are met or when model misspecifications only pertain to the measurement model of the hierarchical construct. However, when misspecifications involve nonmodeled covariances between parts of the hierarchically structured construct and the covariate, higher-order models, single-factor representations, and facet-parcel approaches can yield severely biased estimates sometimes grossly misrepresenting the true correlation and even incurring sign changes. In contrast, a bifactor approach proved to be most robust and to provide rather unbiased results under all conditions. The implications are discussed and recommendations are provided.

Open-Source Personality Trait Norms for the United Kingdom and Ireland

Abstract. Most copyrighted personality inventories facilitate norm-referencing through illustrative tables, yet their application to the many fields relevant to personality measurement is constrained by the need for stakeholders to possess the requisite financial resources to access them. Using an IPIP-NEO-300 dataset from Johnson’s IPIP-NEO data repository, we created open-source norm tables for different age groups (14–17 years; 18–25 years; and 30+ years) within a combined standardization sample from the United Kingdom (UK) and Ireland ( N = 18,591). The newly created tables are freely available online ( https://osf.io/tbmh5 ), and there is no need to ask for permission to modify them. We provide general instructions that can be used to create open-source personality trait norms for other countries, settings, and age groups, as well as gender-specific norms. There is great potential for these norms to be used in various settings and their open-source freedoms may encourage future collaborations and investigations.