Model Averaging in Factor Analysis: An Analysis of Olympic Decathlon Data

Michael Schomaker; Christian Heumann

doi:10.2202/1559-0410.1249

Article

Model Averaging in Factor Analysis: An Analysis of Olympic Decathlon Data

Michael Schomaker and Christian Heumann

Published/Copyright: January 13, 2011

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From the journal Journal of Quantitative Analysis in Sports Volume 7 Issue 1

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.

Keywords: dimension; frequentist procedures; multivariate analysis; averaging techniques; small samples

Published Online: 2011-1-13

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Articles in the same Issue

https://doi.org/10.2202/1559-0410.1249

Keywords for this article

dimension; frequentist procedures; multivariate analysis; averaging techniques; small samples