Can Big Five Facets Distinguish between Hedonic and Eudaimonic Well-Being?A Dominance Analysis

  1. Rosario Josefa Marrero Quevedo 1
  2. Mar Rey Abad 1
  3. Juan Andrés Hernández Cabrera 1
  1. 1 Universidad de La Laguna
    info

    Universidad de La Laguna

    San Cristobal de La Laguna, España

    ROR https://ror.org/01r9z8p25

Journal:
The Spanish Journal of Psychology

ISSN: 1138-7416

Year of publication: 2016

Volume: 19

Pages: 83-9

Type: Article

DOI: 10.1017/SJP.2016.95 DIALNET GOOGLE SCHOLAR

More publications in: The Spanish Journal of Psychology

Metrics

Cited by

  • Scopus Cited by: 3 (12-01-2023)
  • Web of Science Cited by: 0 (12-01-2023)

JCR (Journal Impact Factor)

  • Year 2016
  • Journal Impact Factor: 0.502
  • Journal Impact Factor without self cites: 0.488
  • Article influence score: 0.214
  • Best Quartile: Q4
  • Area: PSYCHOLOGY, MULTIDISCIPLINARY Quartile: Q4 Rank in area: 110/129 (Ranking edition: SSCI)
  • Area: PSYCHOLOGY Quartile: Q4 Rank in area: 70/77 (Ranking edition: SCIE)

SCImago Journal Rank

  • Year 2016
  • SJR Journal Impact: 0.234
  • Best Quartile: Q2
  • Area: Linguistics and Language Quartile: Q2 Rank in area: 272/877
  • Area: Psychology (miscellaneous) Quartile: Q3 Rank in area: 163/253

Índice Dialnet de Revistas

  • Year 2016
  • Journal Impact: 0.200
  • Field: PSICOLOGÍA Quartile: C3 Rank in field: 53/118

CIRC

  • Social Sciences: A
  • Human Sciences: A

Scopus CiteScore

  • Year 2016
  • CiteScore of the Journal : 1.0
  • Area: Linguistics and Language Percentile: 72
  • Area: Language and Linguistics Percentile: 72
  • Area: Psychology (all) Percentile: 35

Abstract

In this study, the aim was to analyze the relative importance of Five-Factor Model (FFM) personality facets for eudaimonic or psychological well-being (PWB) and hedonic or subjective well-being (SWB) through dominance analyses. The participants were 1,403 adult residents of Spain (mean age 37.2 years, SD = 13.9). As expected, facets captured a substantial proportion of the variance in PWB and SWB, with PWB being better predicted than SWB (explaining around 36–55% of the variance of PWB vs. 25% of the variance of SWB). Some facets were common to both types of well-being such as depression (explaining between 5–33% of the variance), vulnerability (explaining between 4–21% of the variance), positive emotions (explaining between 2-9% of the variance) and achievement striving (explaining between 2–10% of the variance), whereas others made a unique contribution according to type of well-being. Certain facets had a greater relative importance for women’s well-being -e.g., positive emotions explained 9% of the variance of self-acceptance for women vs. 3% for men- and others for men’s well-being -e.g., achievement striving explained 9% of the variance of personal growth for men vs. 2% for women-. The present results contribute to the literature by identifying which Big Five facets showed greater relative importance in explaining and distinguishing between PWB and SWB for women and men

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