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Encyclopedia Entry

MULTIPLE CLASSIFICATION ANALYSIS (MCA)

Melissa A. Hardy & Chardie L. Baird

Also called factorial ANOVA, multiple classification analysis (MCA) is a Q UANTITATIVE analysis procedure that allows the assessment of differences in subgroup means, which may have been adjusted for compositional differences in related factors and/or covariates and their effects. MCA produces the same overall results as M ULTIPLE REGRESSION with D UMMY VARIABLES , although there are differences in the way the information is reported. For example, an MCA in SPSS produces an A NALYSIS OF VARIANCE with the appropriate F T ESTS , decomposing the S UMS OF SQUARES explained by the model into the relative contributions of the factor of interest, the C OVARIATE (s), and any I NTERACTIONS that are specified. These F tests assess the ratio of the sums of squares explained by the factor(s) and covariates (if specified) adjusted k ...

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