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Factor Analysis (exploratory viewpoint) . Statistical methods whose priliminary purpose is: to define the underlying structure in a data matrix (common underlying dimentions , known as factors). Factor analysis: first identifies the separate dimentions of the structure;
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Factor Analysis(exploratory viewpoint) Statistical methods whose priliminary purpose is: • to define the underlying structure in a data matrix (common underlying dimentions , known as factors). Factor analysis: • first identifies the separate dimentions of the structure; • second determines the extent to which each variable is explained by each dimension (factor) Primary uses of factor analysis: • summarization • data riduction • data interpretation