Literaturnachweis - Detailanzeige
Autor/inn/en | Hogue, Candace M.; Pornprasertmanit, Sunthud; Fry, Mary D.; Rhemtulla, Mijke; Little, Todd D. |
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Titel | Planned Missing Data Designs for Spline Growth Models in Salivary Cortisol Research |
Quelle | In: Measurement in Physical Education and Exercise Science, 17 (2013) 4, S.310-325 (16 Seiten)
PDF als Volltext |
Sprache | englisch |
Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
ISSN | 1091-367X |
DOI | 10.1080/1091367X.2013.831766 |
Schlagwörter | Research Design; Statistical Analysis; Costs; Data; Biochemistry; Data Analysis; Anxiety; College Students; Sport Psychology; Exercise Physiology; Cost Effectiveness |
Abstract | Salivary cortisol is often used as an index of physiological and psychological stress in exercise science and psychoneuroendocrine research. A primary concern when designing research studies examining cortisol stems from the high cost of analysis. Planned missing data designs involve intentionally omitting a random subset of observations from data collection, reducing both the cost of data collection and participant burden. These designs have the potential to result in more efficient, cost-effective analyses with minimal power loss. Using salivary cortisol data from a previous study (Hogue, Fry, Fry, & Pressman, 2013), this article examines statistical power and estimated costs of six different planned missing data designs using growth curve modeling. Results indicate that using a planned missing data design would have provided the same results at a lower cost relative to the traditional, complete data analysis of salivary cortisol. (As Provided). |
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Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
Update | 2017/4/10 |