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    Investigating the predictive validity of implicit and explicit measures of motivation in problem-solving behavioural tasks

    Access Status
    Fulltext not available
    Authors
    Keatley, D.
    Clarke, D.
    Hagger, Martin
    Date
    2013
    Type
    Journal Article
    
    Metadata
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    Citation
    Keatley, David and Clarke, David D. and Hagger, Martin S. 2013. Investigating the predictive validity of implicit and explicit measures of motivation in problem-solving behavioural tasks. British Journal of Social Psychology. 52 (3): pp. 510-524.
    Source Title
    British Journal of Social Psychology
    DOI
    10.1111/j.2044-8309.2012.02107.x
    ISSN
    0144-6665
    URI
    http://hdl.handle.net/20.500.11937/41903
    Collection
    • Curtin Research Publications
    Abstract

    Research into the effects of individuals’ autonomous motivation on behaviour has traditionally adopted explicit measures and self-reported outcome assessment. Recently, there has been increased interest in the effects of implicit motivational processes underlying behaviour from a self-determination theory (SDT) perspective. The aim of the present research was to provide support for the predictive validity of an implicit measure of autonomous motivation on behavioural persistence on two objectively measurable tasks. SDT and a dual-systems model were adopted as frameworks to explain the unique effects offered by explicit and implicit autonomous motivational constructs on behavioural persistence. In both studies, implicit autonomous motivation significantly predicted unique variance in time spent on each task. Several explicit measures of autonomous motivation also significantly predicted persistence. Results provide support for the proposed model and the inclusion of implicit measures in research on motivated behaviour. In addition, implicit measures of autonomous motivation appear to be better suited to explaining variance in behaviours that are more spontaneous or unplanned. Future implications for research examining implicit motivation from dual-systems models and SDT approaches are outlined.

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