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Journal of Prevention

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01.02.2012 | Original Paper

A Theory of Planned Behavior Research Model for Predicting the Sleep Intentions and Behaviors of Undergraduate College Students

verfasst von: Adam P. Knowlden, Manoj Sharma, Amy L. Bernard

Erschienen in: Journal of Prevention | Ausgabe 1/2012

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Abstract

The purpose of this study was to operationalize the constructs of the Theory of Planned Behavior (TPB) to predict the sleep intentions and behaviors of undergraduate college students attending a Midwestern University. Data collection spanned three phases. The first phase included a semi-structured qualitative interview (n = 11), readability by Flesch-Kincaid, face and content validity by a panel of six experts. The second phase included stability reliability by test–retest (n = 37). The final phase included construct validation applying confirmatory factor analysis, internal consistency by Cronbach’s alpha, and predictive validity (n = 197) employing multiple regression analysis. The majority of the participants reported receiving insufficient sleep (M = 407.3 min, SD = 100.75). Multiple regression modeled perceived behavioral control, subjective norm, and attitude toward adequate sleep behavior on behavioral intention. Collectively, the significant predictors produced an R _adjusted ² value of .362. Further specification of the model identified behavioral intention as a significant predictor of sleep behavior (R _adjusted ² = .185). As a population, undergraduate college students are not achieving adequate sleep. The TPB was found to be a useful framework for predicting the sleep intentions and behaviors of undergraduate students. Practical implications and recommendations for future research are discussed.

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Titel: A Theory of Planned Behavior Research Model for Predicting the Sleep Intentions and Behaviors of Undergraduate College Students
verfasst von: Adam P. Knowlden
Manoj Sharma
Amy L. Bernard
Publikationsdatum: 01.02.2012
Verlag: Springer US
Erschienen in: Journal of Prevention / Ausgabe 1/2012
Print ISSN: 2731-5533
Elektronische ISSN: 2731-5541
DOI: https://doi.org/10.1007/s10935-012-0263-2

Springer Medizin

Abstract

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