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    A review and empirical comparison of motivation scoring methods: An application to self-determination theory

    82499.pdf (634.3Kb)
    Access Status
    Open access
    Authors
    Howard, J.L.
    Gagné, Marylène
    Van den Broeck, A.
    Guay, F.
    Chatzisarantis, Nikos
    Ntoumanis, Nikos
    Pelletier, L.G.
    Date
    2020
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Howard, J.L. and Gagné, M. and Van den Broeck, A. and Guay, F. and Chatzisarantis, N. and Ntoumanis, N. and Pelletier, L.G. 2020. A review and empirical comparison of motivation scoring methods: An application to self-determination theory. Motivation and Emotion. 44 (4): pp. 534-548.
    Source Title
    Motivation and Emotion
    DOI
    10.1007/s11031-020-09831-9
    ISSN
    0146-7239
    Faculty
    Faculty of Health Sciences
    School
    School of Psychology
    Curtin School of Population Health
    Funding and Sponsorship
    http://purl.org/au-research/grants/arc/LP150100417
    Remarks

    This is a post-peer-review, pre-copyedit version of an article published in Motivation and Emotion. The final authenticated version is available online at: http://doi.org/10.1007/s11031-020-09831-9

    URI
    http://hdl.handle.net/20.500.11937/82437
    Collection
    • Curtin Research Publications
    Abstract

    © 2020, Springer Science+Business Media, LLC, part of Springer Nature.

    Self-determination Theory differentiates various types of motivation, each of which have different consequences for well-being and behavior. Despite broad agreement concerning the nature of different types of motivation, numerous scoring methods, each of which rely on different assumptions, are commonly practiced. These practices range from a relative autonomy index that collapses all types of motivation into a single index, higher-order models grouping subscales into a two-factor solution, to multi-factorial approaches examining all motivation types as separate constructs. Existing evidence has not empirically compared these methods or clearly favored the use of one over another. We review each method and further investigate the advantages and disadvantages of each approach by directly comparing a range of commonly utilized scoring methods, as well as recently developed methods across six independent samples from various life domains to determine their effectiveness. Results generally favor multidimensional methods (e.g., exploratory structural equation modeling, B-ESEM, and CFA) as more comprehensive scoring practices as they maximize construct relevant information. However, selection of an ideal method will rely on theoretical congruence between methodology and research questions.

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