Literature DB >> 30294057

The Big Five, Everyday Contexts and Activities, and Affective Experience.

Joshua Wilt1, William Revelle2.   

Abstract

Prior research shows that personality traits predict time spent with different people and frequency of engagement in different activities. Further, personality traits, company, and activity are related to the experience of affect. However, little research has examined personality, context, and affect together in the same study. In the current study, 78 people described their Big Five traits and took part in a 1-week experience sampling study using mobile phones as a means for data collection. Participants indicated their current company, activity, and momentary affect along the dimensions of energetic arousal (EA), tense arousal (TA), and hedonic tone (HT). Poisson regressions revealed that traits predicted higher frequencies of trait-consistent contexts: for example, extraversion was related to more frequently being with various types of company. Results predicting contexts from multilevel logistic regressions were sparser. Multilevel models revealed that traits and contexts had main effects on affect, yet there were relatively few interactions of traits X contexts predicting affect. We discuss more specific implications of these findings.

Entities:  

Keywords:  Big Five; Poisson regression; affect; everyday context; experience sampling methodology; multilevel modeling

Year:  2017        PMID: 30294057      PMCID: PMC6168084          DOI: 10.1016/j.paid.2017.12.032

Source DB:  PubMed          Journal:  Pers Individ Dif        ISSN: 0191-8869


  35 in total

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Authors:  Joshua Wilt; William Revelle
Journal:  Eur J Pers       Date:  2015 Jul-Aug

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Authors:  Colin G DeYoung; Lena C Quilty; Jordan B Peterson
Journal:  J Pers Soc Psychol       Date:  2007-11

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Journal:  Psychol Bull       Date:  1998-09       Impact factor: 17.737

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Authors:  J M Digman
Journal:  J Pers Soc Psychol       Date:  1997-12

7.  CAPTION-ing the situation: A lexically-derived taxonomy of psychological situation characteristics.

Authors:  Scott Parrigon; Sang Eun Woo; Louis Tay; Tong Wang
Journal:  J Pers Soc Psychol       Date:  2016-08-18

8.  Virtual Personalities: Using Computational Modeling to Understand Within-Person Variability.

Authors:  Stephen J Read; Benjamin Smith; Vitaliya Droutman; Lynn C Miller
Journal:  J Res Pers       Date:  2016-11-02

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Authors:  N Bolger; A Zuckerman
Journal:  J Pers Soc Psychol       Date:  1995-11

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Authors:  Joshua Wilt; Erik E Noftle; William Fleeson; Jana S Spain
Journal:  J Pers       Date:  2012-10
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