One of the multivariate statistical techniques used for data analysis. Dependence techniques are useful or appropriate when one or more variables can be identified as dependent variables and the remaining as independent variables. When there is only one dependent variable, cross-tabulation, ANOVA and ANCOVA, regression, two-way discriminant analysis, and conjoint analysis can be used. However, if there is more than one dependent variable, the appropriate techniques are multivariate ANOVA and
ANCOVA, canonical correlation, and multiple discriminant analysis
