Exploratory Factor Analysis (EFA)

In Exploratory Factor Analysis (EFA), the researcher has no prior intention of confirming the existence of any existing relationship prior to the analysis of the data, but instead, the researcher allows the various techniques, methods, procedures and rules to reveal the relationship in the data. EFA is indeed the opposite of Confirmatory Factor Analysis (CFA) .

In the Social/Behaviour Sciences, the study of EFA comprises of the following, the list, however is not exhaustive.

  1. KMO and Bartlett’s test of sphericity

  2. Communalities

  3. Scree Plot

  4. Loadings and Cross loadings

  5. Reliability Analysis

  6. Composite Reliability

  7. Average Variance Extracted (AVE)

  8. Convergent Validity

  9. Discriminant Validity