Is it possible to perform factor analysis on categorical data?
In such cases Correspondence Analysis is a possibility. I think Yes, but it might be depending to the categoric variable type such as ordinal, nominal. Each independently require different analysis methods. Applied Statistician & Code Writer. Firstly, I recommend you to go to (Linting,2003) manual on CATPCA analysis as first land .
Which is an example of categorical or numerical data?
Continuous data can be further divided into interval data and ratio data. Some examples of continuous data are; student CGPA, height, etc. Categorical data is a type of data that is used to group information with similar characteristics while Numerical data is a type of data that expresses information in the form of numbers.
What are the two types of categorical variables?
There are two types of categorical variables: ordinal and nominal. In the case of nominal variables (e.g. Married, single, divorced & widowed or Ford, Chevrolet, Volkswagen & Renault) EFA will lead to rubbish answers. In such cases Correspondence Analysis is a possibility.
What’s the difference between categorical and ordinal data?
Although proven to be more inclined to categorical data, ordinal data can be classified as both categorical and numerical data. In some texts, ordinal data is defined as an intersection between numerical data and categorical data and is therefore classified as both.
When do you use confirmatory factor analysis ( CFA )?
Confirmatory factor analysis (CFA) is used to study the relationships between a set of observed variables and a set of continuous latent variables. When the observed variables are categorical, CFA is also referred to as item response theory (IRT) analysis (Fox, 2010; van der Linden, 2016).
How to perform a factor analysis with polychoric correlation matrix?
Once we have a polychoric correlation matrix, we can use the factormat command to perform an exploratory factor analysis using the matrix as input, rather than raw variables. The dataset for this example includes data on 1428 college students and their instructors.
How can I perform an exploratory factor analysis with?
The numbers after efa indicate the minimum and maximum number of factors to be extracted. By using 3 3, we indicate that we want only a three-factor solution. We have done this to save space. We suggest that you use a reasonable range here, and each solution will be shown in the output.