What is the difference between confirmatory factor analysis and exploratory factor analysis?
Besides, what is the difference between exploratory factor analysis and confirmatory?
Exploratory factor analysis is a method for finding latent variables in data, usually data sets with a lot of variables. Confirmatory factor analysis is a method of confirming that certain structures in the data are correct; often, there is an hypothesized model due to theory and you want to confirm it.
Also, can you do a confirmatory factor analysis in SPSS? SPSS does not include confirmatory factor analysis but those who are interested could take a look at AMOS.
Subsequently, one may also ask, what does a confirmatory factor analysis do?
In statistics, confirmatory factor analysis (CFA) is a special form of factor analysis, most commonly used in social research. It is used to test whether measures of a construct are consistent with a researcher's understanding of the nature of that construct (or factor).
What is confirmatory factor analysis PDF?
Confirmatory factor analysis (CFA), otherwise referred to as restricted factor analysis, structural factor analysis, or the measurement model, typically is used in a deductive mode to test hypotheses regarding unmeasured sources of variability responsible for the commonality among a set of scores.