# What is the difference between confirmatory factor analysis and exploratory factor analysis?

**Exploratory factor analysis**(EFA) could be described as orderly simplification of interrelated measures. By performing EFA, the underlying

**factor**structure is identified.

**Confirmatory factor analysis**(

**CFA**) is a statistical technique used to verify the

**factor**structure of a set of observed variables.

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.