It can be used to analyze data from any quantitative research design. Multiple correlation coefficient measure of the magnitude of the relationship between a criterion variable and some combination of predictor variables. Canonical correlation a combination of several predictor variables is used to predict a combination of several criterion variables. Path Analysis Used to test the validity of theories about causal relationships between two or more variables that have been studied in a correlational research design. Correlation matrix an arrangement of rows and columns that make it easy to see how each measured variable in a set of such variables correlates with all the other variables in the set.
Recursive model considers only unidirectional causal relationships.
Non-recursive used to test hypotheses that involve reciprocal causation between pairs of variables. Types of Variables exogenous lack hypothesized causes in the path analysis model. Path Coefficient a standardized regression coefficient indicating the direct effect of one variable on another variable in the path analysis. Factor Analysis Provides an empirical basis for reducing numerous variables that are moderately or highly correlated with each other. A factor represents the variables that are most correlated.