Contents
What is the difference between exploratory factor analysis and confirmatory 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.
What are the two types of factor analysis?
There are two types of factor analyses, exploratory and confirmatory. Exploratory factor analysis (EFA) is method to explore the underlying structure of a set of observed variables, and is a crucial step in the scale development process.
When did confirmatory factor analysis get an introduction?
Received for publication January 30, 2009; revision received February 2, 2010. We present an introduction to the basic concepts essential to understanding confirmatory factor analysis (CFA). We initially discuss the underlying mathematical model and its graphical representation.
How to perform a confirmatory factor analysis in R?
This seminar will show you how to perform a confirmatory factor analysis using lavaan in the R statistical programming language. Its emphasis is on understanding the concepts of CFA and interpreting the output rather than a thorough mathematical treatment or a comprehensive list of syntax options in lavaan.
How to do an exploratory factor analysis in lavaan?
Its emphasis is on understanding the concepts of CFA and interpreting the output rather than a thorough mathematical treatment or a comprehensive list of syntax options in lavaan. For exploratory factor analysis (EFA), please refer to A Practical Introduction to Factor Analysis: Exploratory Factor Analysis.
What should I know about exploratory factor analysis?
For exploratory factor analysis (EFA), please refer to A Practical Introduction to Factor Analysis: Exploratory Factor Analysis. A rudimentary knowledge of linear regression is required to understand some of the material in this seminar.