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Health and Sport Analytics Laboratory

The Health and Sport Analytics Laboratory conducts research, consulting, and training in health, exercise science, and sport/recreation using measurement theory and technology.

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About the Lab

The Health and Sport Analytics Laboratory, directed by Dr. Minsoo Kang, is focused on research, consulting, and training by applying measurement theory, mathematical/statistical model, research design, and computer/technology in the area of health, exercise science, and sport/recreation. The lab supports faculty led research projects and provides research opportunities for students in the HESRM department.

Minsoo Kang

Meet the Director

Dr. Minsoo Kang is a Professor of the HESRM department and Program Director of Sport Analytics master’s program. His background is in Measurement and Evaluation in Kinesiology with emphasis in IRT, Rasch, and psychometrics. His research focuses on measurement, statistical methods, and big data analytics and their applications to physical activity and sport performance.

Minsoo Kang

Professor of Health, Exercise Science, and Recreation Management

Workshops and Specialized Assistance

The Health and Sport Analytics lab provides an annual workshop for student and faculty on Analytics related topics. The lab also offers specialized assistance in advanced measurement and statistical analyses.

Topics Supported

Descriptive statistics, hypothesis testing, power analysis, T tests, chi-square tests, ANOVA, regression, item analysis, data mining, meta-analysis, structural equation modeling, conjoint analysis, and big data analysis.

Software Programs Supported

Data analysis (CODA, GENOVA, SAS, SPSS, WEKA, AMOS, Mplus, JASP, R, Stata, Python), power analysis (G*power), general (Microsoft Excel), psychometrics (Facets, Winsteps, Iteman), meta-analysis (CMA), and conjoint analysis (Sawtooth).

Partnerships

The Health and Sport Analytics lab also collaborates with various internal and external partners on research projects and provides with consulting services for big data analysis, program evaluation, tool development and validation, and measurement and statistical analysis. Currently, the lab has engaged with the following partners: