When multiple regression is used to describe an entire structure of linkages between variables that have been advanced from a causal theory,it is referred to as _____.
A) factor analysis
B) path analysis
C) forward selection
D) conjoint analysis
E) None of the above

Question

Quizplus · Accepted Answer

Path analysis is a statistical method that allows for the examination of the causal relationships among variables in a theoretical model. It uses multiple regression to analyze the entire structure of linkages between variables. Factor analysis is a technique used to reduce the number of variables in a dataset by identifying common underlying factors. Forward selection is a method for selecting a subset of variables from a larger set of predictors for use in a regression model. Conjoint analysis is a technique used in market research to determine how consumers value different attributes of a product or service.

When Multiple Regression Is Used to Describe an Entire Structure