APMA 3120 Chapter 15: Chapter 15- Factor Analysis and Reliability Analysis- Data Reduction Techniques
Document Summary
Chapter 15: factor analysis and reliability analysis: data reduction techniques a. Direct oblimin rotation: method of rotating factors in an efa that does not try to maximize the distinction between the factors and is appropriate when the factors are assumed to be correlated with each other. Eigenvalue: measure of the strength of a factor produced in an efa and of the % of variance in all of the observed variables in an efa that is explained by a particular factor. Exploratory factor analysis (efa): method of analyzing set of observed variables to determine which variables are most strongly associated with each other & perhaps indicative of an underlying latent construct. Extraction: procedure in efa whereby factors are produced, or extracted, from a set of observed variables. Factor analysis: statistical procedure used to organize and group a set of observed variables. Factor loading: statistic that indicates how strongly a particular observed variables is associated with a particular factor.