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Factors influencing the relation between extraversion and pleasant affect.

R E Lucas1, F Fujita

  • 1Department of Psychology, University of Illinois at Urbana-Champaign, 61820, USA. rlucas@s.psych.uiuc.edu

Journal of Personality and Social Psychology
|January 4, 2001
PubMed
Summary
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The link between extraversion and positive feelings is strong, but mood measurement methods significantly affect results. Online mood tracking yields more consistent findings than general memory-based assessments.

Area of Science:

  • Psychology
  • Personality Psychology
  • Affective Science

Background:

  • The relationship between personality traits, specifically extraversion, and positive emotional experiences (pleasant affect) is a key area in psychological research.
  • Previous studies have yielded varied results, suggesting potential moderating factors influencing this association.

Purpose of the Study:

  • To investigate the factors influencing the strength of the relationship between extraversion and pleasant affect across multiple studies.
  • To determine the impact of different measurement scales and assessment methods on the observed correlations.

Main Methods:

  • Employed structural equation modeling (SEM) in five studies to analyze the influence of various extraversion and pleasant affect scales and assessment strategies.
  • Conducted a meta-analysis of existing literature in Study 6 to establish an average effect size and examine moderator variables.

Related Experiment Videos

Main Results:

  • Both SEM analyses and the meta-analysis indicated moderate to strong correlations between extraversion and pleasant affect, with few exceptions, regardless of scale used.
  • Online mood assessment methods (e.g., moment reports, daily diaries) produced lower and more consistent correlations compared to global, retrospective mood measures.

Conclusions:

  • The association between extraversion and pleasant affect is generally robust across different measurement tools.
  • The method of mood assessment is a critical moderator, with real-time (online) reporting providing more reliable and less variable estimates of this relationship.