Planned missing data designs for spline growth models in salivary cortisol research

Candace Hogue, Sunthud Pornprasertmanit, Mary D. Fry, Mijke Rhemtulla, Todd D. Little

Research output: Contribution to journalArticle

4 Citations (Scopus)

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.

Original languageEnglish (US)
Pages (from-to)310-325
Number of pages16
JournalMeasurement in Physical Education and Exercise Science
Volume17
Issue number4
DOIs
StatePublished - Oct 1 2013

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Hydrocortisone
Costs and Cost Analysis
Growth
Research
Physiological Stress
Psychological Stress

All Science Journal Classification (ASJC) codes

  • Orthopedics and Sports Medicine
  • Physical Therapy, Sports Therapy and Rehabilitation

Cite this

Hogue, Candace ; Pornprasertmanit, Sunthud ; Fry, Mary D. ; Rhemtulla, Mijke ; Little, Todd D. / Planned missing data designs for spline growth models in salivary cortisol research. In: Measurement in Physical Education and Exercise Science. 2013 ; Vol. 17, No. 4. pp. 310-325.
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Planned missing data designs for spline growth models in salivary cortisol research. / Hogue, Candace; Pornprasertmanit, Sunthud; Fry, Mary D.; Rhemtulla, Mijke; Little, Todd D.

In: Measurement in Physical Education and Exercise Science, Vol. 17, No. 4, 01.10.2013, p. 310-325.

Research output: Contribution to journalArticle

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