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    Response-order effects in survey methods: A randomized controlled crossover study in the context of sport injury prevention

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    Access Status
    Open access
    Authors
    Chan, Derwin
    Ivarsson, A.
    Stenling, A.
    Yang, S.
    Chatzisarantis, Nikos
    Hagger, Martin
    Date
    2015
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Chan, D. and Ivarsson, A. and Stenling, A. and Yang, S. and Chatzisarantis, N. and Hagger, M. 2015. Response-order effects in survey methods: A randomized controlled crossover study in the context of sport injury prevention. Journal of Sport and Exercise Psychology. 37 (6): pp. 666-673.
    Source Title
    Journal of Sport and Exercise Psychology
    DOI
    10.1123/jsep.2015-0045
    ISSN
    0895-2779
    School
    School of Psychology and Speech Pathology
    Remarks

    Copyright © 2015 Human Kinetics. This is the final author's version as accepted for publication: http://journals.humankinetics.com/action/showJournal?journalCode=jsep

    URI
    http://hdl.handle.net/20.500.11937/32675
    Collection
    • Curtin Research Publications
    Abstract

    Consistency tendency is characterized by the propensity for participants responding to subsequent items in a survey consistent with their responses to previous items. This method effect might contaminate the results of sport psychology surveys using cross-sectional design. We present a randomized controlled crossover study examining the effect of consistency tendency on the motivational pathway (i.e., autonomy support → autonomous motivation → intention) of self-determination theory in the context of sport injury prevention. Athletes from Sweden (N = 341) responded to the survey printed in either low interitem distance (IID; consistency tendency likely) or high IID (consistency tendency suppressed) on two separate occasions, with a one-week interim period. Participants were randomly allocated into two groups, and they received the survey of different IID at each occasion. Bayesian structural equation modeling showed that low IID condition had stronger parameter estimates than high IID condition, but the differences were not statistically significant.

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