‘Personality in its Natural Habitat’ Revisited: A Pooled, Multi–sample Examination of the Relationships between the Big Five Personality Traits and Daily Behaviour and Language Use

2020 ◽  
Vol 34 (5) ◽  
pp. 753-776 ◽  
Author(s):  
Allison M. Tackman ◽  
Erica N. Baranski ◽  
Alexander F. Danvers ◽  
David A. Sbarra ◽  
Charles L. Raison ◽  
...  
Keyword(s):  
Big Five ◽  
Language Use ◽  
Natural Habitat ◽  
Past Research ◽  
Assessment Method ◽  
Big Five Personality ◽  
Personality Psychology ◽  
Pooled Data ◽  
Small College ◽  
Gender Specific

Past research using the Electronically Activated Recorder (EAR), an observational ambulatory assessment method for the real–world measurement of daily behaviour, has identified several behavioural manifestations of the Big Five domains in a small college sample ( N = 96). With the use of a larger and more diverse sample of pooled data from N = 462 participants from a total of four community samples who wore the EAR from 2 to 6 days, the primary purpose of the present study was to obtain more precise and generalizable effect estimates of the Big Five–behaviour relationships and to re–examine the degree to which these relationships are gender specific. In an extension of the original article, the secondary purpose of the present study was to examine if the Big Five–behaviour relationships differed across two facets of each Big Five domain. Overall, while several of the behavioural manifestations of the Big Five were generally consistent with the trait definitions (replicating some findings from the original article), we found little evidence of gender differences (not replicating a basic finding from the original article). Unique to the present study, the Big Five–behaviour relationships were not always comparable across the two facets of each Big Five domain. © 2020 European Association of Personality Psychology

scholarly journals A less evaluative measure of Big Five personality: Comparison of structure and criterion validity

2021 ◽  
pp. 089020702110129
Author(s):  
Joshua K Wood ◽  
Jeromy Anglim ◽  
Sharon Horwood
Keyword(s):  
Big Five ◽  
Personality Assessment ◽  
Blood Donation ◽  
Past Research ◽  
Criterion Validity ◽  
Communication Styles ◽  
General Factor ◽  
Big Five Personality ◽  
Large Sample Size ◽  
Academic Grades

Researchers and practitioners have long been concerned about detrimental effects of socially desirable responding on the structure and criterion validity of personality assessments. The current research examined the effect of reducing evaluative item content of a Big Five personality assessment on test structure and criterion validity. We developed a new public domain measure of the Big Five called the Less Evaluative Five Factor Inventory (LEFFI), adapted from the standard 50-item IPIP NEO, and intended to be less evaluative. Participants ( n = 3164) then completed standard (IPIP) and neutralized (LEFFI) measures of personality. Criteria were also collected, including academic grades, age, sex, smoking, alcohol consumption, exercise, protesting, religious worship, music preferences, dental hygiene, blood donation, other-rated communication styles, other-rated HEXACO personality, and cognitive ability (ICAR). Evaluativeness of items was reduced in the neutralized measure. Cronbach's alpha and test-retest reliability were maintained. Correlations between the Big Five were reduced in the neutralized measure and criterion validity was similar or slightly reduced in the neutralized measure. The large sample size and use of objective criteria extend past research. The study also contributes to debates about whether the general factor of personality and agreement with socially desirable content reflect substance or bias.

scholarly journals Can Facebook likes predict the purchase probability of electricity storage systems?

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Stefan Poier
Keyword(s):  
Personality Traits ◽  
Big Five ◽  
Control Sample ◽  
Big Five Personality Traits ◽  
Photovoltaic System ◽  
Big Five Personality ◽  
Personality Psychology ◽  
Electricity Storage ◽  
Combining Data ◽  
User Groups

AbstractThis study among owners of photovoltaic systems investigates whether users' Big Five personality traits derived from their Facebook likes contribute to whether or not they adopt an electricity storage. It is based on the finding that the digital footprint, especially the Facebook likes, can in part predict the personality of users better than friends and family. The survey was conducted among 159 Facebook users in Germany who owned a photovoltaic system. For comparison, a control sample with data from the German Socio-Economic Panel with 425 photovoltaic owners among 7286 individuals was used. The results show that, for extraversion, agreeableness, and neuroticism, the mean scores could be sufficiently predicted. However, a positive correlation could only be detected for extraversion. The comparison of the user groups could not provide satisfying results. None of the Big Five personality traits could be used to distinguish the two user groups from each other. Although the results did not support the hypotheses, this study offers insights into the possibilities of combining data mining, personality psychology, and consumer research.

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

2020 ◽  
Vol 34 (1) ◽  
pp. 8-28 ◽  
Author(s):  
Susanne Buecker ◽  
Marlies Maes ◽  
Jaap J. A. Denissen ◽  
Maike Luhmann
Keyword(s):  
Personality Traits ◽  
Big Five ◽  
Structural Equation ◽  
Variance Estimation ◽  
Meta Analysis ◽  
The Other ◽  
Personality Factors ◽  
Big Five Personality ◽  
Personality Psychology ◽  
Total N

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 related to loneliness. Robust variance estimation accounting for the dependency of effect sizes was used to compute meta–analytic bivariate correlations between loneliness and personality. Extraversion ( r = −.370), agreeableness ( r = −.243), conscientiousness ( r = −.202), and openness ( r = −.107) were negatively related to loneliness. Neuroticism ( r = .358) was positively related to loneliness. These associations differed meaningfully in strength depending on how loneliness was assessed. Additionally, meta–analytic structural equation modelling was used to investigate the unique association between each personality trait and loneliness while controlling for the other four personality traits. All personality traits except openness remained statistically significantly associated with loneliness when controlling for the other personality traits. Our results show the importance of stable personality factors in explaining individual differences in loneliness. © 2020 European Association of Personality Psychology

scholarly journals Indicators of Affect Dynamics: Structure, Reliability, and Personality Correlates

2020 ◽  
Vol 34 (6) ◽  
pp. 1060-1072 ◽  
Author(s):  
Leon P. Wendt ◽  
Aidan G.C. Wright ◽  
Paul A. Pilkonis ◽  
William C. Woods ◽  
Jaap J.A. Denissen ◽  
...  
Keyword(s):  
Personality Traits ◽  
Big Five ◽  
High Reliability ◽  
Big Five Personality Traits ◽  
Big Five Personality ◽  
Personality Psychology ◽  
Total N ◽  
Structure Reliability ◽  
Complex Indicators ◽  
Affect Dynamics

Researchers are increasingly interested in the affect dynamics of individuals for describing and explaining personality and psychopathology. Recently, the incremental validity of more complex indicators of affect dynamics (IADs; e.g. autoregression) has been called into question (Dejonckheere et al., 2019), with evidence accumulating that these might convey little unique information beyond mean level and general variability of emotions. Our study extends the evidence for the construct validity of IADs by investigating their redundancy and uniqueness, split–half reliability based on indices from odd–numbered and even–numbered days, and association with big five personality traits. We used three diverse samples that assessed daily and momentary emotions, including community participants, individuals with personality pathology, and their significant others (total N = 1192, total number of occasions = 51 278). Mean and variability of affects had high reliability and distinct nomological patterns to big five personality traits. In contrast, more complex IADs exhibited substantial redundancies with mean level and general variability of emotions. When partialing out these redundancies by using residual variables, some of the more complex IADs had acceptable reliability, but only a few of these showed incremental associations with big five personality traits, indicating that IADs have limited validity using the current assessment practices. © 2020 The Authors. European Journal of Personality published by John Wiley & Sons Ltd on behalf of European Association of Personality Psychology

scholarly journals Longitudinal Associations between Delinquent Behaviour of Friends and Delinquent Behaviour of Adolescents: Moderation by Adolescent Personality Traits

2015 ◽  
Vol 29 (4) ◽  
pp. 468-477 ◽  
Author(s):  
Meike Slagt ◽  
Judith Semon Dubas ◽  
Maja Deković ◽  
Gerbert J. T. Haselager ◽  
Marcel A. G. van Aken
Keyword(s):  
Personality Traits ◽  
Big Five ◽  
Protective Factor ◽  
Rank Order ◽  
Big Five Personality ◽  
Adolescent Delinquency ◽  
Personality Psychology ◽  
Delinquent Behaviour ◽  
Best Friends ◽  
Longitudinal Associations

In this longitudinal study, we examined whether personality traits (parent–rated Big Five personality traits) render some adolescents more susceptible than others to delinquent behaviour of friends, predicting rank–order changes in adolescents‘ self–reported delinquent behaviour. We examine susceptibility to both perceived (reported by adolescents) and self–reported (reported by friends) delinquent behaviour of friends. Participants in this two–wave study were 285 Dutch adolescents and their best friends. The adolescents (50% girls) were 15.5 years old on average (SD = 0.8 years), and their best friends (N = 176; 58% girls) were 15.1 years old (SD = 1.5 years). Perceived (but not self–reported) delinquency of friends predicted a stronger increase in adolescent delinquency 1 year later, especially among adolescents low or average on conscientiousness. Emotional stability, agreeableness, extraversion and openness did not moderate associations between delinquency of friends and delinquency of adolescents. Our findings show that low conscientiousness serves as a risk factor, increasing vulnerability to perceived delinquent behaviour of friends, while high conscientiousness serves as a protective factor, increasing resilience to perceived delinquent behaviour of friends. Our findings also show that adolescents are susceptible to, and differ in susceptibility to, friends‘ delinquent behaviour as they perceive it—not to delinquent behaviour as reported by friends themselves. Copyright © 2015 European Association of Personality Psychology

scholarly journals Successful Explanations Start with Accurate Descriptions: Questionnaire Items as Personality Markers for More Accurate Predictions

2018 ◽  
Vol 32 (3) ◽  
pp. 186-201 ◽  
Author(s):  
Anne Seeboth ◽  
René Mõttus
Keyword(s):  
Big Five ◽  
European Association ◽  
Predictive Power ◽  
Penalized Regression ◽  
Big Five Personality ◽  
Personality Psychology ◽  
National Child Development Study ◽  
Large Numbers ◽  
Behavioural Specificity ◽  
Per Se

Personality–outcome associations, typically represented using the Big Five personality domains, are ubiquitous, but often weak and possibly driven by the constituents of these domains. We hypothesized that representing the associations using personality questionnaire items (as markers for personality nuances) could increase prediction strength. Using the National Child Development Study ( N = 8719), we predicted 40 diverse outcomes from both the Big Five domains and their 50 items. Models were trained (using penalized regression) and applied for prediction in independent sample partitions (with 100 permutations). Item models tended to out–predict Big Five models (explaining on average 30% more variance), regardless of outcomes’ independently rated breadth versus behavioural specificity. Moreover, the predictive power of Big Five domains per se was at least partly inflated by the unique variance of their constituent items, especially for generally more predictable outcomes. Removing the Big Five variance from items marginally reduced their predictive power. These findings are consistent with the possibility that the associations of personality with outcomes often pertain to (potentially large numbers of) specific behavioural, cognitive, affective, and motivational characteristics represented by single questionnaire items rather than to the broader (underlying) traits that these items are ostensibly indicators of. This may also have implications for personality–based interventions. Copyright © 2018 European Association of Personality Psychology

scholarly journals How Are Personality States Associated with Smartphone Data?

2020 ◽  
Vol 34 (5) ◽  
pp. 687-713
Author(s):  
Dominik Rüegger ◽  
Mirjam Stieger ◽  
Marcia Nißen ◽  
Mathias Allemand ◽  
Elgar Fleisch ◽  
...  
Keyword(s):  
Big Five ◽  
Ambient Noise ◽  
Psychological Research ◽  
Big Five Personality ◽  
Data Set ◽  
Personality Psychology ◽  
Smartphone Sensors ◽  
Self Assessments ◽  
Day Of The Week ◽  
State Responses

Smartphones promise great potential for personality science to study people's everyday life behaviours. Even though personality psychologists have become increasingly interested in the study of personality states, associations between smartphone data and personality states have not yet been investigated. This study provides a first step towards understanding how smartphones may be used for behavioural assessment of personality states. We explored the relationships between Big Five personality states and data from smartphone sensors and usage logs. On the basis of the existing literature, we first compiled a set of behavioural and situational indicators, which are potentially related to personality states. We then applied them on an experience sampling data set containing 5748 personality state responses that are self–assessments of 30 minutes timeframes and corresponding smartphone data. We used machine learning analyses to investigate the predictability of personality states from the set of indicators. The results showed that only for extraversion, smartphone data (specifically, ambient noise level) were informative beyond what could be predicted based on time and day of the week alone. The results point to continuing challenges in realizing the potential of smartphone data for psychological research. © 2020 The Authors. European Journal of Personality published by John Wiley & Sons Ltd on behalf of European Association of Personality Psychology

scholarly journals Model "Big Five" personality and criminal behavior

2013 ◽  
Vol 6 (1) ◽  
pp. 102-109
Author(s):  
David Sánchez-Teruel ◽  
Mª Auxiliadora Robles-Bello
Keyword(s):  
Big Five ◽  
Criminal Behavior ◽  
Future Research ◽  
Big Five Personality ◽  
Assessment Instruments ◽  
Field Of Study ◽  
Personality Psychology ◽  
Theoretical Issues

It reflect on the theoretical issues that currently versa Personality Psychology in general and antisocial or criminal behavior in particular. It discusses how the model can be used personality "Big Five" applied to the field of crime, and shows the variables that the literature presented as more predictive, through one of the most widely used assessment instruments at present. It currently advises finding, meeting points between the various existing theories, for that personality does not become a field of study restricted exclusively to researchers and scholars. It discuss the most important results in the application of the "Big Five" personality of the offender, and posess some limitations, as future research for practitioners and researchers.

scholarly journals Can the Big Five Explain Both Interindividual Differences and Intraindividual Changes in Personality Traits?

2020 ◽  
Author(s):  
Michael P. Grosz
Keyword(s):  
Personality Traits ◽  
Factor Structure ◽  
Big Five ◽  
Panel Study ◽  
Past Research ◽  
Big Five Personality ◽  
Factor Analyses ◽  
Cross Sectional ◽  
Interindividual Differences ◽  
The Common

The Big Five personality traits were discovered through factor analyses of cross-sectional associations among personality items. Yet, cross-sectional factor structures are a weighted blend of between- and within-person factor structures. Thus, the Big Five might not represent the underlying factors on the within-person level or on the between-person level. The aim of the current study was to investigate whether the Big Five factor structure holds on the between- and within-person level of personality trait measures. I fit common and unique trait-state (CUTS) models (Hamaker, Schuurman, & Zijlmans, 2017) to 11 years of longitudinal data from a Dutch household panel study (N = 12,901; Mage at Time 1 = 41.71; 54.34% women). The results indicated that the Big Five factor structure held across both between- and within-person levels. The findings lend support to past research that did not distinguish between the two levels when measuring the Big Five. The results furthermore suggest that latent dimensions rather than a network of interconnected components underly the common variance of Big Five trait measures.

scholarly journals A Less Evaluative Measure of Big Five Personality: Comparison of Structure and Criterion Validity

2021 ◽  
Author(s):  
Joshua K Wood ◽  
Jeromy Anglim ◽  
Sharon Horwood
Keyword(s):  
Big Five ◽  
Personality Assessment ◽  
Blood Donation ◽  
Past Research ◽  
Criterion Validity ◽  
Communication Styles ◽  
General Factor ◽  
Big Five Personality ◽  
Large Sample Size ◽  
Academic Grades

Researchers and practitioners have long been concerned about detrimental effects of socially desirable responding on the structure and criterion validity of personality assessments. The current research examined the effect of reducing evaluative item content of a Big Five personality assessment on test structure and criterion validity. We developed a new public domain measure of the Big Five called the Less Evaluative Five Factor Inventory (LEFFI), adapted from the standard 50-item IPIP NEO, and intended to be less evaluative. Participants (n = 3164) then completed standard (IPIP) and neutralized (LEFFI) measures of personality. Criteria were also collected, including academic grades, age, sex, smoking, alcohol consumption, exercise, protesting, religious worship, music preferences, dental hygiene, blood donation, other-rated communication styles, other-rated HEXACO personality, and cognitive ability (ICAR). Evaluativeness of items was reduced in the neutralized measure. Cronbach's alpha and test-retest reliability were maintained. Correlations between the Big Five were reduced in the neutralized measure and criterion validity was similar or slightly reduced in the neutralized measure. The large sample size and use of objective criteria extend past research. The study also contributes to debates about whether the general factor of personality and agreement with socially desirable content reflect substance or bias.

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