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Measuring college sailing teams ability: an application of the many-facet Rasch model to ordinal data
William Steve Lang1, Judy R Wilkerson
1College of Education, University of South Florida St. Petersburg, 140 7th Avenue South, St. Petersburg, FL 33701, USA. wslang@tempest.coedu.usf.edu
Journal of Applied Measurement
|February 11, 2005
Summary
This study demonstrates the effectiveness of the Many-Facilitated Rasch Model (MFRM) for ranking college sailing teams. The Rasch measurement approach provides a precise tool for assessing sailing ability, overcoming typical ranking challenges.
Area of Science:
- Sports Science
- Measurement Theory
- Statistical Modeling
Background:
- Traditional sports ranking methods face significant challenges with complex sports like sailing.
- Assessing team ability in sailing requires sophisticated statistical approaches.
Purpose of the Study:
- To apply the Many-Facilitated Rasch Model (MFRM) to college sailing data.
- To evaluate the utility and precision of MFRM for ranking sailing teams.
- To address key issues in developing a Rasch model for sailing ability.
Main Methods:
- Analysis of one year's data from North American college sailing competitions.
- Application of the Many-Facilitated Rasch Model (MFRM).
- Consideration of data quality, contest connectedness, missing data, outliers, and bias.
Main Results:
- The MFRM proved to be a useful and precise tool for ranking college sailing teams.
- The model demonstrated applicability to ordinal ranking in sports.
- Specific issues relevant to sailing ability assessment were addressed.
Conclusions:
- The Many-Facilitated Rasch Model (MFRM) is a valuable tool for ranking sailing ability.
- Rasch measurement offers a robust approach to sports ranking challenges.
- The study provides evidence for the utility of MFRM in applied sports analytics.