Whitney Moore
Assistant Professor of Kinesiology in the College of Health and Human Performance East Carolina University, USA
BIOGRAPHY
After earning her Bachelors in Exercise Physiology from West Virginia University and Masters in Health & Exercise Science from Colorado State University, Whitney Moore owned and was the Head Strength and Conditioning Coach for MOORE Training in Tucson, Az. Her company focused on providing high-quality training primarily for youth, but also for adults. She then went to the University of Kansas, where she studied under Dr. Mary Fry how leaders optimize motivation by applying John Nicholls’ Achievement Goal Perspective Theory to physical activity settings. While at the University of Kansas she also gained expertise in advanced quantitative design and analysis as a part of Dr. Todd Little’s Center for Research Methods and Data Analysis. Before coming to East Carolina University, Dr. Moore was an Assistant Professor at the University of North Texas and an Associate Professor at Wayne State University. In addition to developing the Ownership in Exercise and Empowerment in Exercise Scales, she has collaborated with researchers in physical education, nutrition, positive youth development, and other health-related fields to develop and revise scale measures. Whitney expanded her quantitative expertise by adding mixture modeling (LCA, LPA, LTA, GMM). Recently, her applied sport psychology research has focused on the health behaviors and well-being of college athletes.
Workshop: Examining Mediation and Moderation Relationships with Longitudinal Structural Equation Modeling
During this workshop, Dr. Whitney Moore will cover the difference between mediation and moderation, and why longitudinal data provides more rigorous support for mediation or indirect effects, as well as how to properly test for those effects. She will discuss benefits of longitudinal structural equation modeling, including measurement invariance testing steps, the ability to handle missing data to maintain sample size, and interpreting mediation relationships by using bootstrapped confidence intervals.