The statistical procedure that researchers use to identify underlying components that may exist in test without first proposing a formal model?
A) a goodness-of-fit test
B) construct explication
C) exploratory factor analysis
D) confirmatory factor analysis

Question

Quizplus · Accepted Answer

Exploratory factor analysis is a statistical technique used to identify underlying components or factors that may exist in a set of data without first proposing a formal model. It is exploratory in nature, meaning that it is used to generate hypotheses about the underlying structure of a dataset that can be later tested using confirmatory factor analysis. Goodness-of-fit tests are used to evaluate how well a model fits the data, while construct explication involves the process of defining and clarifying the meaning of a construct being measured.

The Statistical Procedure That Researchers Use to Identify Underlying Components