Describe Univariate and Multivariate Analyses
Instructions
Provide a brief overview of MANOVA and ANOVA statistical analysis and at least six different multivariate
procedures in addition to the MANOVA.
In addition, you will describe the importance of exploratory analysis in statistical procedures.
Complete the following four components.

1. Provide (a) a definition for the MANOVA and ANOVA statistical procedures and
   (b) include a very brief explanation for why each procedure is used, data type requirements (e.g., interval, ratio,
   ordinal, nominal), minimum number of variables (e.g., independent, dependent, predictor, criterion), resultant
   indices (e.g., F score, chi-square, Wilks lambda), and the interpretation of the resultant indices.
   Paraphrase your response (rather than quotations) and cite your resources.
2. In a five-column chart (i.e., worksheet format), contrast a total of six different multivariate statistical
   procedures (excluding MANOVA); the name of the statistical procedure will be in column one.
   Include:
   multiple regression, principal-component analysis, cluster analysis, and three others from the following
   procedures: path analysis, confirmatory factor analysis, meta-analysis, Q-Technique factor analysis, structural
   equation modeling, canonical correlation analysis, repeated measures, logistic regression, discriminant
   analysis, factor analysis, survival analysis, multidimensional scaling, correspondence analysis, or conjoint
   analysis.