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Why are you passive? Understanding teen´s sports intentions by QCA and LM

Revista de psicología del deporte, 2017-01, Vol.26, p.91 [Peer Reviewed Journal]

2017. This work is published under http://creativecommons.org/licenses/by-sa/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1132-239X ;EISSN: 1988-5636

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  • Title:
    Why are you passive? Understanding teen´s sports intentions by QCA and LM
  • Author: María Huertas González-Serrano ; Ferran Calabuig Moreno ; Josep Crespo Hervás ; Prado-Gascó, Vicente
  • Subjects: Teenagers
  • Is Part Of: Revista de psicología del deporte, 2017-01, Vol.26, p.91
  • Description: Physical inactivity is one of the most critical issues in our society. Several studies have pointed that during adolescence Physical Activity levels decline the most, becoming a critical period in the acquisition of active lifelong habits. This study aims an understanding of the variables that predict the intention of being physically active (IPA) in high school students after completing their education, comparing two different methodologies: Lineal Models (LM) and Comparative Qualitative Analysis (QCA). No research has combined these methodologies before to see the intention of being physically active in high school. 307 adolescents from 14 to 19 years old (Mean=15.64 ±1.12), 55.5% boys, participated in the research. To get the results, a Hierarchical Regression Model with two steps; 1: Attitude toward the Behaviour (ATB), Perceived Behavioural Control (PBC) and Subjective Norm (SN); 2: Athletic Identity (AI) and Physical Self-concept (PSC) and a Fuzzy-set Qualitative Comparative Analysis (fsQCA) were performed. The first step explain 26% of IPA while the addition on step to explains 65% 2 = .38), AI is the most influential aspect (β=.74). Considering the fsQCA results, none of the conditions is crucial condition of IPA, although low levels of PBC seem to be the most important condition of not having IPA. Regarding sufficiency, five combinations explain 70% of IPA. The three most important combinations where having high levels of PSC and PBC; high levels of AI and ATB; and high levels PBC and ATB (explaining 45%; 60% and 43% respectively of IPA). In general QCA is more explanatory than LM.
  • Publisher: Barcelona: Universitat Autonoma de Barcelona, Servei de Publicacions
  • Language: English;Spanish
  • Identifier: ISSN: 1132-239X
    EISSN: 1988-5636
  • Source: ProQuest One Psychology
    ProQuest Central
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