Model Averaging in Factor Analysis: An Analysis of Olympic Decathlon Data
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Michael Schomaker
This article presents a multivariate analysis of Olympic decathlon data based on maximum likelihood factor analysis. All results explicitly account for model selection uncertainty, which is inherent in any data-based selection process but mostly ignored in reports related to multivariate sports data. For this purpose, some well-established frequentist procedures that have so far been applied almost exclusively to regression analysis are adopted and transferred to the factor analytical context. The findings support the claim that decathlon contests consist of three dimensions. These dimensions seem to be similar to, but not exactly the same, as those found by Cox and Dunn (2002) via hierarchical cluster analysis.
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Artikel in diesem Heft
- Article
- Adjusting Winning-Percentage Standard Deviations and a Measure of Competitive Balance for Home Advantage
- Comparing Team Performance of the English Premier League, Serie A, and La Liga for the 2008-2009 Season
- Optimal Targets for the Bank Shot in Men's Basketball
- Model Averaging in Factor Analysis: An Analysis of Olympic Decathlon Data
- How to Catch a Tiger: Understanding Putting Performance on the PGA TOUR
- Having the Second Leg at Home - Advantage in the UEFA Champions League Knockout Phase?
- Study of the Technical and Tactical Variables Determining Set Win or Loss in Top-Level European Men's Volleyball
- Socioeconomic Predictors of the 2010 FIFA World Cup
- Yellow Cards: Do They Matter?
- The ISOPAR Method: A New Approach to Performance Analysis in Golf
