Factor is a set of variables that are highly interrelated.
Factor analysis...
EFA explores the data & provides information about how many constructs are needed to represent the data.
EFA is an exploratory technique applied to a set of observed variables that seeks to find underlying factors.
The constructs are derived from statistical results, not from theory, & so the constructs can only be named/labelled after the EFA.
EFA is data driven.
CFA is theory driven.
Prior to CFA, the researcher MUST:
Comparing EFA and CFA. Please download a dataset here.