Showing papers on "Personality published in 2020"

Personality and prosocial behavior: A theoretical framework and meta-analysis.

Abstract: Decades of research document individual differences in prosocial behavior using controlled experiments that model social interactions in situations of interdependence. However, theoretical and empirical integration of the vast literature on the predictive validity of personality traits to account for these individual differences is missing. Here, we present a theoretical framework that identifies 4 broad situational affordances across interdependent situations (i.e., exploitation, reciprocity, temporal conflict, and dependence under uncertainty) and more specific subaffordances within certain types of interdependent situations (e.g., possibility to increase equality in outcomes) that can determine when, which, and how personality traits should be expressed in prosocial behavior. To test this framework, we meta-analyzed 770 studies reporting on 3,523 effects of 8 broad and 43 narrow personality traits on prosocial behavior in interdependent situations modeled in 6 commonly studied economic games (Dictator Game, Ultimatum Game, Trust Game, Prisoner's Dilemma, Public Goods Game, and Commons Dilemma). Overall, meta-analytic correlations ranged between -.18 ≤ ρ ≤ .26, and most traits yielding a significant relation to prosocial behavior had conceptual links to the affordances provided in interdependent situations, most prominently the possibility for exploitation. Moreover, for several traits, correlations within games followed the predicted pattern derived from a theoretical analysis of affordances. On the level of traits, we found that narrow and broad traits alike can account for prosocial behavior, informing the bandwidth-fidelity problem. In sum, the meta-analysis provides a theoretical foundation that can guide future research on prosocial behavior and advance our understanding of individual differences in human prosociality. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Theories of Personality

Abstract: Designed to guide students toward a comprehensive understanding of major personality theories, Ryckman provides a theory-by-theory approach that helps students develop the skills needed to critically evaluate personality theories. In the beginning of the book, Ryckman defines personality, provides basic information concerning the scientific process, including the interrelatedness of theory and research, and offers the criteria scientists use in judging the worth of theories. Then, chapter by chapter, he introduces each major theoretical position with an objective overview of the theorists' basic concepts and principles. The final chapter highlights the heuristic value of the theories, noting the many ways in which they act as stimulants to the thinking and research efforts of contemporary personality psychologists. Ryckman finishes by presenting five current trends in personality theory and research, which are largely the result of stimulation by the theorists covered in the text.

Predicting psychological and subjective well-being from personality: A meta-analysis.

Abstract: This study reports the most comprehensive assessment to date of the relations that the domains and facets of Big Five and HEXACO personality have with self-reported subjective well-being (SWB: life satisfaction, positive affect, and negative affect) and psychological well-being (PWB: positive relations, autonomy, environmental mastery, purpose in life, self-acceptance, and personal growth). It presents a meta-analysis (n = 334,567, k = 462) of the correlations of Big Five and HEXACO personality domains with the dimensions of SWB and PWB. It provides the first meta-analysis of personality and well-being to examine (a) HEXACO personality, (b) PWB dimensions, and (c) a broad range of established Big Five measures. It also provides the first robust synthesis of facet-level correlations and incremental prediction by facets over domains in relation to SWB and PWB using 4 large data sets comprising data from prominent, long-form hierarchical personality frameworks: NEO PI-R (n = 1,673), IPIP-NEO (n = 903), HEXACO PI-R (n = 465), and Big Five Aspect Scales (n = 706). Meta-analytic results highlighted the importance of Big Five neuroticism, extraversion, and conscientiousness. The pattern of correlations between Big Five personality and SWB was similar across personality measures (e.g., BFI, NEO, IPIP, BFAS, Adjectives). In the HEXACO model, extraversion was the strongest well-being correlate. Facet-level analyses provided a richer description of the relationship between personality and well-being, and clarified differences between the two trait frameworks. Prediction by facets was typically around 20% better than domains, and this incremental prediction was larger for some well-being dimensions than others. (PsycINFO Database Record (c) 2020 APA, all rights reserved).

Uses and gratifications of problematic social media use among university students: a simultaneous examination of the big five of personality traits, social media platforms, and social media use motives

Abstract: Recent studies suggest that users’ preferences of social media use differ according to their individual differences and use motives, and that these factors can lead to problematic social media use (PSMU) among a minority of users. The objectives of the present study were to investigate the influences of (i) demographics and Big Five personality dimensions on social media use motives; (ii) demographics and use motives on social media site preferences; and (iii) demographics, personality, popular social media sites, and social media use motives on PSMU. The sample comprised 1008 undergraduate students, aged between 17 and 32 years (M = 20.49, SD = 1.73; 60.5% women). The participants completed a questionnaire comprising the Social Media Use Questionnaire, Social Media Usage Aims Scale, and Ten-Item Personality Inventory. Multiple linear and hierarchical regression analyses showed that social media use motives of (i) meeting new people and socializing, (ii) expressing or presenting a more popular self, and (iii) passing time and entertainment were associated with problematic social media use. Moreover, participants that preferred Instagram, Snapchat, and Facebook reported higher scores of problematic social media use. Finally, being female, introverted, conscientious, agreeable, and neurotic were associated with PSMU. The findings offer empirical evidence for uses and gratifications theory because the findings demonstrated that (i) different personality traits predict different motives, (ii) different motives predict preference of different platforms, and (iii) different individual differences such as personality, preference of platform, and specific use motives predict PSMU.

Personality Traits, Risk Perception, and Protective Behaviors of Arab Residents of Qatar During the COVID-19 Pandemic.

Abstract: During the 2020 COVID-19 pandemic, people in Qatar-similar to most countries globally-were instructed by health authorities to adopt protective behaviors to avoid infection. One of these behaviors is social distancing, which is influenced by diverse variables. Using data from an online survey with 405 responses, this study performed multiple regression analysis to explore effects of personality, risk perception, and personal hygiene practices on social distancing among residents of Qatar. The results showed that 87.3% of participants reported that they preferred to stay at home and not go outside unless necessary, 60.3% said that they maintain an adequate distance when communicating with others, 68.6% reported that they do not allow relatives and friends to visit them at home, 73.5% believed that COVID-19 is a dangerous disease, and 95.8% reported that they embrace personal hygiene practices and washing hands. Furthermore, multiple regression analysis showed that conscientiousness, neuroticism, risk perception, and personal hygiene practices predicted social distancing, with moderate effect sizes. Gender differences were also found in social distancing practices, indicating that women reported higher engagement in social distancing practices than men. These results highlighted the importance of individual differences in reacting to the COVID-19 pandemic and provide important information about the predictors of social distancing practices.

Personality differences and COVID-19: are extroversion and conscientiousness personality traits associated with engagement with containment measures?

Abstract: Introduction In December 2019, an outbreak of the novel coronavirus, the coronavirus disease 2019 (COVID-19) probably occurred in Wuhan, China. By March 2020, the World Health Organization (WHO) had declared a pandemic. Containment measures such as social distancing and hand hygiene were recommended. In this study, we start from the hypothesis that engaging with containment measures in a pandemic situation should be more comfortable for some people than for other people. Thus, individual differences should be associated with engagement with containment measures. Objective To investigate to what extent two personality traits, extroversion and conscientiousness, are associated with engagement with two containment measures (social distancing and handwashing). Methods The sample consisted of 715 Brazilian adults aged 18-78 years, who answered the Big Five Inventory 2 Short (BFI-2-S) and factors from the Dimensional Clinical Personality Inventory 2 (IDCP-2). Results Higher scores for extroversion were associated with lower means for social distancing (p < 0.001) and higher scores for conscientiousness were associated with higher means for social distancing and handwashing (p < 0.05). Conclusion The findings indicate the importance of acknowledging extroversion and conscientiousness traits as relevant to people's engagement with the measures recommended for COVID-19 containment.

Predicting personality from patterns of behavior collected with smartphones.

Abstract: Smartphones enjoy high adoption rates around the globe. Rarely more than an arm's length away, these sensor-rich devices can easily be repurposed to collect rich and extensive records of their users' behaviors (e.g., location, communication, media consumption), posing serious threats to individual privacy. Here we examine the extent to which individuals' Big Five personality dimensions can be predicted on the basis of six different classes of behavioral information collected via sensor and log data harvested from smartphones. Taking a machine-learning approach, we predict personality at broad domain ([Formula: see text] = 0.37) and narrow facet levels ([Formula: see text] = 0.40) based on behavioral data collected from 624 volunteers over 30 consecutive days (25,347,089 logging events). Our cross-validated results reveal that specific patterns in behaviors in the domains of 1) communication and social behavior, 2) music consumption, 3) app usage, 4) mobility, 5) overall phone activity, and 6) day- and night-time activity are distinctively predictive of the Big Five personality traits. The accuracy of these predictions is similar to that found for predictions based on digital footprints from social media platforms and demonstrates the possibility of obtaining information about individuals' private traits from behavioral patterns passively collected from their smartphones. Overall, our results point to both the benefits (e.g., in research settings) and dangers (e.g., privacy implications, psychological targeting) presented by the widespread collection and modeling of behavioral data obtained from smartphones.

Recent trends in deep learning based personality detection

Abstract: Recently, the automatic prediction of personality traits has received a lot of attention. Specifically, personality trait prediction from multimodal data has emerged as a hot topic within the field of affective computing. In this paper, we review significant machine learning models which have been employed for personality detection, with an emphasis on deep learning-based methods. This review paper provides an overview of the most popular approaches to automated personality detection, various computational datasets, its industrial applications, and state-of-the-art machine learning models for personality detection with specific focus on multimodal approaches. Personality detection is a very broad and diverse topic: this survey only focuses on computational approaches and leaves out psychological studies on personality detection.

Loneliness and the Big Five Personality Traits: A Meta–Analysis:

Abstract: This preregistered meta–analysis (k = 113, total n = 93 668) addressed how the Big Five dimensions of personality (extraversion, agreeableness, conscientiousness, neuroticism, and openness) are rel...

The better-than-average effect in comparative self-evaluation: A comprehensive review and meta-analysis.

Abstract: The better-than-average-effect (BTAE) is the tendency for people to perceive their abilities, attributes, and personality traits as superior compared with their average peer. This article offers a comprehensive review of the BTAE and the first quantitative synthesis of the BTAE literature. We define the effect, differentiate it from related phenomena, and describe relevant methodological approaches, theories, and psychological mechanisms. Next, we present a comprehensive meta-analysis of BTAE studies, including data from 124 published articles, 291 independent samples, and more than 950,000 participants. Results indicated that the BTAE is robust across studies (dz = 0.78, 95% CI [0.71, 0.84]), with little evidence of publication bias. Further, moderation tests suggested that the BTAE is larger in the case of personality traits than abilities, positive as opposed to negative dimensions, and in studies that (a) use the direct rather than the indirect method, (b) involve many rather than few dimensions, (c) sample European Americans rather than East-Asians (especially for individualistic traits), and (d) counterbalance self and average peer judgments. Finally, the BTAE is moderately associated with self-esteem (r = .34) and life satisfaction (r = .33). Results from selection model analyses clarify areas of the BTAE literature in which publication bias may be of elevated concern. Discussion highlights theoretical and empirical implications. (PsycINFO Database Record (c) 2020 APA, all rights reserved).

The prevalence of personality disorders in the community: a global systematic review and meta-analysis

Abstract: Background Personality disorders are now internationally recognised as a mental health priority. Nevertheless, there are no systematic reviews examining the global prevalence of personality disorders. Aims To calculate the worldwide prevalence of personality disorders and examine whether rates vary between high-income countries and low- and middle-income countries (LMICs). Method We systematically searched PsycINFO, MEDLINE, EMBASE and PubMed from January 1980 to May 2018 to identify articles reporting personality disorder prevalence rates in community populations (PROSPERO registration number: CRD42017065094). Results A total of 46 studies (from 21 different countries spanning 6 continents) satisfied inclusion criteria. The worldwide pooled prevalence of any personality disorder was 7.8% (95% CI 6.1–9.5). Rates were greater in high-income countries (9.6%, 95% CI 7.9–11.3%) compared with LMICs (4.3%, 95% CI 2.6–6.1%). In univariate meta-regressions, significant heterogeneity was partly attributable to study design (two-stage v. one-stage assessment), county income (high-income countries v. LMICs) and interview administration (clinician v. trained graduate). In multiple meta-regression analysis, study design remained a significant predictor of heterogeneity. Global rates of cluster A, B and C personality disorders were 3.8% (95% CI 3.2, 4.4%), 2.8% (1.6, 3.7%) and 5.0% (4.2, 5.9%). Conclusions Personality disorders are prevalent globally. Nevertheless, pooled prevalence rates should be interpreted with caution due to high levels of heterogeneity. More large-scale studies with standardised methodologies are now needed to increase our understanding of population needs and regional variations.

L2 grit: Passion and perseverance for second-language learning:

Abstract: As a personality trait, ‘grit’ has been defined as a combination of perseverance and passion for long-term goals. Past research in social psychology has found grit as an important predictor of succ...

Positive Impact of Mindfulness Meditation on Mental Health of Female Teachers during the COVID-19 Outbreak in Italy.

Abstract: The Covid-19 pandemic and subsequent public health measures were shown to impact negatively on people’s mental health. In particular, women were reported to be at higher risk than men of developing symptoms of stress/anxiety/depression, and resilience was considered a key factor for positive mental health outcomes. In the present study, a sample of Italian female teachers (n = 66, age: 51.5 ± 7.9 years) was assessed with self-report instruments one month before and one month after the start of the Covid-19 lockdown: mindfulness skills, empathy, personality profiles, interoceptive awareness, psychological well-being, emotional distress and burnout levels were measured. Meanwhile, they received an 8-week Mindfulness-Oriented Meditation (MOM) course, through two group meetings and six individual video-lessons. Based on baseline personality profiles, analyses of variance were performed in a low-resilience (LR, n = 32) and a high-resilience (HR, n = 26) group. The LR and HR groups differed at baseline in most of the self-report measures. Pre–post MOM significant improvements were found in both groups in anxiety, depression, affective empathy, emotional exhaustion, psychological well-being, interoceptive awareness, character traits and mindfulness levels. Improvements in depression and psychological well-being were higher in the LR vs. HR group. We conclude that mindfulness-based training can effectively mitigate the psychological negative consequences of the Covid-19 outbreak, helping in particular to restore well-being in the most vulnerable individuals.

A Psychometric Network Perspective on the Validity and Validation of Personality Trait Questionnaires

Abstract: This article reviews the causal implications of latent variable and psychometric network models for the validation of personality trait questionnaires. These models imply different data generating ...

Personality, self-efficacy and job resources and their associations with employee engagement, affective commitment and turnover intentions

Abstract: In this paper, we examine the extent to which personality characteristics influence employees’ psychological connection to their work beyond that predicted by job context factors. More specifically...

The impact of gamification on students’ learning, engagement and behavior based on their personality traits

Abstract: The gamification of education can enhance levels of students’ engagement similar to what games can do, to improve their particular skills and optimize their learning. On the other hand, scientific studies have shown adverse outcomes based on the user’s preferences. The link among the user’s characteristics, executed actions, and the game elements is still an open question. Aiming to find some insights for this issue, we have investigated the effects of gamification on students’ learning, behavior, and engagement based on their personality traits in a web-based programming learning environment. We have conducted an experiment for four months with 40 undergraduate students of first-year courses on programming. Students were randomly assigned to one of the two versions of the programming learning environment: a gamified version composed of ranking, points, and badges and the original non-gamified version. We have found evidence that gamification affected users in distinct ways based on their personality traits. Our results indicate that the effect of gamification depends on the specific characteristics of users. First part title: Studying the impact of gamification on learning and engagement based on the personality traits of students

Sensing Sociability: Individual Differences in Young Adults' Conversation, Calling, Texting, and App Use Behaviors in Daily Life

Abstract: Sociability as a disposition describes a tendency to affiliate with others (vs. be alone). Yet, we know relatively little about how much social behavior people engage in during a typical day. One challenge to documenting social behavior tendencies is the broad number of channels over which socializing can occur, both in-person and through digital media. To examine individual differences in everyday social behavior patterns, here we used smartphone-based mobile sensing methods (MSMs) in four studies (total N = 926) to collect real-world data about young adults' social behaviors across four communication channels: conversations, phone calls, text messages, and use of messaging and social media applications. To examine individual differences, we first focused on establishing between-person variability in daily social behavior, examining stability of and relationships among daily sensed social behavior tendencies. To explore factors that may explain the observed individual differences in sensed social behavior, we then expanded our focus to include other time estimates (e.g., times of the day, days of the week) and personality traits. In doing so, we present the first large-scale descriptive portrait of behavioral sociability patterns, characterizing the degree to which young adults engaged in social behaviors and mapping these behaviors onto self-reported personality dispositions. Our discussion focuses on how the observed sociability patterns compare to previous research on young adults' social behavior. We conclude by pointing to areas for future research aimed at understanding sociability using mobile sensing and other naturalistic observation methods for the assessment of social behavior. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

Mentality and behavior in COVID-19 emergency status in Japan: Influence of personality, morality and ideology.

Abstract: The COVID-19 pandemic began in December 2019 and severely influenced society. In response, the Japanese government declared a state of emergency on 7th April in seven prefectures. The study conducted an immediate survey on 8th April to record the response of the general public to the first emergency status due to epidemics. The study hypothesized that personality traits, moral foundation, and political ideology can influence people's mentality, cognition, and behavior toward COVID-19. Based on a nationwide dataset of 1856 respondents (male = 56.3%, Mage = 46.7, emergency regions = 49.9%), the study found that personality, morality, and ideology altered mental health status and motivated behaviors toward COVID-19. Neuroticism and avoiding harm involved cognition and behavior through various means. The study also found significant differences among demographic groups. Results are informative and contributive to the governance and management of, and aid for, individual responses to the COVID-19 pandemic.

Big Five and HEXACO Personality Traits, Proenvironmental Attitudes, and Behaviors: A Meta-Analysis:

Abstract: With climate change and its consequences believed to be among the most vital challenges for humanity and the Earth's ecosystem, it is important to understand why individuals do or do not adopt proenvironmental attitudes and behaviors. Personality traits are well suited for this purpose. Because no recent work has systematically combined the accumulating evidence on this topic, we aimed to meta-analyze the associations of the Big Five and HEXACO personality domains with proenvironmental attitudes and behaviors. A meta-analysis of 38 sources (N = 44,993) implicated openness and honesty-humility as the strongest correlates of proenvironmental attitudes (r = .22 and .20) and behaviors (r = .21 and .25). Agreeableness, conscientiousness, and, to a lesser extent, extraversion were also associated with proenvironmental attitudes (r = .15, .12, and .09) and behaviors (r = .10, .11, and .10). Heterogeneity among effect sizes was partly explained by samples' gender ratio, age, and country of origin and by the personality model. P-curve analyses, funnel plots, and Egger's tests indicated significant but sporadic and small publication bias. As a validity test, the meta-analytic associations collectively provided substantial predictive accuracy for proenvironmental attitudes (r = .44-.45) and behaviors (r = .28-.43) in independent holdout samples.

Coronavirus (COVID-19) in the United Kingdom: A personality-based perspective on concerns and intention to self-isolate.

Abstract: Objectives Public behaviour change is necessary to contain the spread of coronavirus (COVID-19). Based on the reinforcement sensitivity theory (RST) framework, this study presents an examination of individual differences in some relevant psychological factors. Design Cross-sectional psychometric. Methods UK respondents (N = 202) completed a personality questionnaire (RST-PQ), measures of illness attitudes, concerns about the impact of coronavirus on health services and socio-economic infrastructures, personal safety, and likelihood of voluntary self-isolation. Results Respondents most concerned were older, had negative illness attitudes, and scored higher on reward reactivity (RR), indicating the motivation to take positive approach action despite prevailing worry/anxiety. Personal safety concerns were highest in those with negative illness attitudes and higher fight-flight-freeze system (FFFS, reflecting fear/avoidance) scores. Results suggest people are experiencing psychological conflict: between the urge to stay safe (FFFF-related) and the desire to maintain a normal, pleasurable (RR-related) life. Ways of ameliorating conflict may include maladaptive behaviours (panic buying), reflecting reward-related displacement activity. Intended self-isolation related to FFFS, but also low behavioural inhibition system (related to anxiety) scores. Older people reported themselves less likely to self-isolate. Conclusions Interventions need to consider individual differences in psychological factors in behaviour change, and we discuss relevant literature to inform policy makers and communicators. Statement of contribution What is already known on this subject? Reinforcement sensitivity theory (RST) personality systems can influence perception of persuasive health messages. However, there is limited evidence for their direct effects on health concerns and behaviours, and none relating to specific infectious diseases. What does this study add? Reward reactivity (RR) is associated with concern about impact of coronavirus on the NHS and other social infrastructures, indicating the motivation to take positive-approach action despite worry/anxiety. Personal safety concerns are related to fight-flight-freeze system traits (FFFS, reflecting fear/avoidance). Intended self-isolation related to FFFS, but also low behavioural inhibition system (related to anxiety) scores. Older people reported themselves less likely to self-isolate. Results suggest psychological conflict: between the urge to stay safe (FFFF-related) and the desire to maintain a normal, pleasurable life (RR-related). Ways of ameliorating conflict may include maladaptive behaviours (panic buying), reflecting reward-related displacement activity.

Modulators of the Personal and Professional Threat Perception of Olympic Athletes in the Actual COVID-19 Crisis

Abstract: The COVID-19 pandemic is now a major global health issue, affecting world population and high-performance athlete too. The aim of the present research was to analyze the effect of psychological profile, academic schedule, and gender in the perception of personal and professional threat of Olympic and Paralympic athletes facing the 2021 Tokyo Olympiad in the actual COVID-19 crisis. We analyzed in 136 Olympic (26.4 ± 6.2 years) and 39 Paralympic athletes (31.8 ± 9.3 years) academic and sport variables, individual perceptions about COVID-19 crisis, personality, loneliness, psychological inflexibility, and anxiety. Paralympic athletes perceived higher negative impact in their training and performance by the confinement than Olympic athletes (+24.18, p < 0.005, r = 0.60). Neuroticism and psychological inflexibility presented the greatest negative feelings for female athletes (+32.59, p < 0.000, r = 0.13) and the perception that quarantine would negatively affect their sports performance. Finally professional athletes showed lower values in personality tests (Agreeableness factor) about COVID-19 crisis than non-professionals (-40.62, p < 0.012, r = 0.88).