This paper is using the method multidimensional analysis of data on a group of variables which are characterized by the performance of professional athletes. The meaning of this is to find the correct dimension of data for broader quantification. In the theoretical part of this paper I am describing the main goals and the principles of factor and cluster analysis. Furthermore in this part they are broken down the preconditions for the correct use of instruments of the mentioned analysis and they are presented models of each method. In the practical chapter, first there is a comparison of athletes from five professional leagues from the perspective of the wages differential analysis, then with the help of factor analyses a reduction of data is made and from the used data from the finale model a new variable is set. In the last part of this paper I am dividing the objects into groups as described in the cluster analyses with the purpose of further analyzing these clusters.
| Identifer | oai:union.ndltd.org:nusl.cz/oai:invenio.nusl.cz:114283 |
| Date | January 2011 |
| Creators | Chytka, David |
| Contributors | Bílková, Diana, Löster, Tomáš |
| Publisher | Vysoká škola ekonomická v Praze |
| Source Sets | Czech ETDs |
| Language | Czech |
| Detected Language | English |
| Type | info:eu-repo/semantics/masterThesis |
| Rights | info:eu-repo/semantics/restrictedAccess |
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