Factors determined from correlation with other variables in the R-matrix are the same as the independent variables in factorial ANOVA.

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Factors determined from correlation with other variables in the R-matrix are related to factor analysis, which is a technique for identifying underlying variables, or factors, that explain the pattern of correlations within a set of observed variables. This is different from the independent variables in factorial ANOVA, which are pre-specified by the researcher and are used to investigate their effects on a dependent variable, often without assuming or exploring underlying correlations between these independent variables.

Factors Determined from Correlation with Other Variables in the R-Matrix