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Amotivation to Automaticity in Adult Physical Activity: A Mixed-Methods Instrument Development Project.
|Title:||Amotivation to Automaticity in Adult Physical Activity: A Mixed-Methods Instrument Development Project.|
|Date Issued:||May 2018|
|Publisher:||University of Hawaiʻi at Mānoa|
|Abstract:||This dissertation explores self-regulatory constructs related to the initiation and maintenance of habitual physical activity in adults for instrument development purposes. The developing measure is designed for use in longitudinal research on the progression from sedentary behavior to habitual physical activity that meets or exceeds federal minimum recommendations. A second measure, designed for recruitment of participants who may show a “sudden gain” pattern has also been created. Because the accrual of reliability and validation evidence is an ongoing process, this dissertation project is defined as a four-step, mixed-methods instrument development project involving: 1) phenomenological method qualitative interviews designed to discover and/or refine constructs related to behavioral, emotional, cognitive and habitual aspects of self-regulation as associated with physical activity and exercise. 2) an initial item pool, created and refined by the research group, 3) The initial item pool further refined by a layperson’s refinement survey 4) The refined item pool for the full-range instrument and for the “sudden gain” recruitment screener has been made ready for online administration for the purpose of exploratory factor analyses. These versions of the full-range and recruitment instruments will be amenable to post-dissertation psychometric evaluation using a community sample.|
|Description:||Ph.D. Thesis. University of Hawaiʻi at Mānoa 2018.|
|Rights:||All UHM dissertations and theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission from the copyright owner.|
|Appears in Collections:||
Ph.D. - Psychology|
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