ERIC Number: EJ1023473
Record Type: Journal
Publication Date: 2013
Abstractor: As Provided
Reference Count: 40
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.
Descriptors: Research Design, Statistical Analysis, Costs, Data, Biochemistry, Data Analysis, Anxiety, College Students, Sport Psychology, Exercise Physiology, Cost Effectiveness
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Publication Type: Journal Articles; Reports - Research
Education Level: Higher Education; Postsecondary Education
Authoring Institution: N/A