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Planned Missing Data Designs for Spline Growth Models in Salivary Cortisol Research.
- Source :
- Measurement in Physical Education & Exercise Science; Oct-Dec2013, Vol. 17 Issue 4, p310-325, 16p, 2 Diagrams, 2 Charts, 3 Graphs
- Publication Year :
- 2013
-
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. [ABSTRACT FROM AUTHOR]
- Subjects :
- RESEARCH & economics
STATISTICS methodology
DATA analysis
SALIVA analysis
CLINICAL trials
COLLEGE students
COMPARATIVE studies
COST control
EXPERIMENTAL design
HYDROCORTISONE
PSYCHOLOGY of movement
RESEARCH funding
STATISTICAL sampling
PHYSIOLOGICAL stress
MATHEMATICAL variables
COST analysis
STATISTICAL power analysis
EFFECT sizes (Statistics)
RANDOMIZED controlled trials
DESCRIPTIVE statistics
Subjects
Details
- Language :
- English
- ISSN :
- 1091367X
- Volume :
- 17
- Issue :
- 4
- Database :
- Complementary Index
- Journal :
- Measurement in Physical Education & Exercise Science
- Publication Type :
- Academic Journal
- Accession number :
- 90634624
- Full Text :
- https://doi.org/10.1080/1091367X.2013.831766