A researcher wants to classify variables into common groups based on theoretical evidence. Which one of the following procedures is recommended given this scenario?
A) cluster analysis
B) confirmatory factor analysis
C) logistic regression
D) propensity score analysis

Question

Quizplus · Accepted Answer

Confirmatory factor analysis is a statistical technique used to confirm the structural relationships between measured variables and their underlying latent constructs. It is commonly used in research to test theories and classify variables into common groups based on theoretical evidence. Unlike cluster analysis, which is exploratory in nature, confirmatory factor analysis is based on theoretical frameworks and pre-specified hypotheses, making it a suitable choice for this scenario. Logistic regression and propensity score analysis are not relevant to this scenario as they are used for different purposes, such as predicting an outcome or adjusting for confounding variables.

A Researcher Wants to Classify Variables into Common Groups Based