Psychometric properties of the spanish version of the passion scale

Eva Penelo*, Ursula Oberst, Andrés Chamarro, Albert Fornieles, Jordi Fernández-Castro, Robert J. Vallerand

*Corresponding author for this work

Research output: Contribution to journalArticleResearchpeer-review

48 Citations (Scopus)

Abstract

© 2015 Psicothema. Background: Passion has been shown to be involved in psychological processes that emerge in diverse human activities like physical activity and sports, work, leisure, videogaming, pathological gambling, and interpersonal relationships. We aimed to present evidence of validity and internal consistency of the Passion Scale in Spanish based on the Dualistic Model of Passion, comprising harmonious and obsessive dimensions. Method: The sample comprised 1,007 participants (350 females and 657 males), aged 16-65 (Md= 30.0 years). Exploratory Structural Equation Modeling (ESEM), measurement invariance and Multiple-Cause-Multiple-Indicator models (MIMIC) were used. Results: Fit for the ESEM 2-factor solution was acceptable. Near full or partial measurement invariance across sex, type of activity, and age was supported. Relationships between both harmonious and obsessive dimensions and the external variables considered (age, sex, and criterion items) reasonably replicated those found in previous studies. Both scale scores showed adequate internal consistency (α=.81). Conclusions: Empirical evidence for the validity and internal consistency of the Spanish version of the Passion Scale is satisfactory and reveals that the scale is comparable to the English and French versions. Therefore, the Passion Scale can be used in research conducted in Spanish.
Translated title of the contributionPropiedades psicométricas de la versión española de la Escala de la Pasión
Original languageEnglish
Pages (from-to)402-409
Number of pages8
JournalPsicothema
Volume27
Issue number4
DOIs
Publication statusPublished - 1 Jan 2015

Keywords

  • Validity
  • Passion
  • Positive psychology
  • Exploratory structural equation modelling
  • Measurement invariance

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