In confirmatory factor analysis, the concept of goodness of fit represents
A) how well a hypothesized factor structure matches the actual factor structure of the data set.
B) the number of factors with eigenvalues greater than one.
C) how well any one measured variable represents a given latent variable.
D) the reliability of a latent variable.

Question

Quizplus · Accepted Answer

Goodness of fit in confirmatory factor analysis refers to the degree to which the hypothesized factor structure matches the actual factor structure of the data set. It assesses whether the model provides a good fit to the data. This is typically evaluated using measures such as chi-squared test, root mean square error of approximation (RMSEA), comparative fit index (CFI), and standardized root mean square residual (SRMR). Therefore, option A is the correct choice. Option B refers to the eigenvalue criterion for determining the number of factors in exploratory factor analysis. Option C and D are unrelated to the concept of goodness of fit.

In Confirmatory Factor Analysis, the Concept of Goodness of Fit