Comprehensive and comprehensible, this classic covers the basic and advanced topics essential for using factor analysis as a scientific tool in psychology, education, sociology, and related areas. Emphasizing the usefulness of the techniques, it presents sufficient mathematical background for understanding and sufficient discussion of applications for effective use. This includes not only theory but also the empirical evaluations of the importance of mathematical distinctions for applied scientific analysis.
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ability accounted addition appear applied approach appropriate assumed calculated Chapter characteristic coefficients columns common factor computed considered constructs contains correlation matrix criterion defined definition dependent derived determine developed diagonal discussed effect elements equal equation error estimates examined example extracted factor analysis factor model factor pattern factor scores factor-analytic Figure function given gives higher order factors important included increases indicate individuals interest interpretation length less linear loadings maximum likelihood means measure method multiple noted number of factors occur original orthogonal plot population position possible present primary principal factor problem procedures produce programs relationships reliability replicate represented reproduce residual roots rotation sample scales selection significance simple structure situation solution squared standard statistical suggested Table theoretical theory tion transformation uncorrelated unique usually vari variables variance weights zero