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ERIC Number: EJ1023473
Record Type: Journal
Publication Date: 2013
Pages: 16
Abstractor: As Provided
Reference Count: 40
ISBN: N/A
ISSN: ISSN-1091-367X
Planned Missing Data Designs for Spline Growth Models in Salivary Cortisol Research
Hogue, Candace M.; Pornprasertmanit, Sunthud; Fry, Mary D.; Rhemtulla, Mijke; Little, Todd D.
Measurement in Physical Education and Exercise Science, v17 n4 p310-325 2013
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.
Routledge. Available from: Taylor & Francis, Ltd. 325 Chestnut Street Suite 800, Philadelphia, PA 19106. Tel: 800-354-1420; Fax: 215-625-2940; Web site: http://www.tandf.co.uk/journals
Publication Type: Journal Articles; Reports - Research
Education Level: Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A