Tagged Questions

1
vote
0answers
41 views

Variable reduction techniques on qualitative factor with several variables

Suppose that I want to regress the income level of a worker with qualitative variables such as eye color and the state that they live. Obviously, if I try to create a model with these variables, I ...
2
votes
0answers
77 views

Factor analysis for categorical target variable

I'm doing some research into factor analysis and I've hit that barrier where I don't know what search terms to use. I'm trying to see if something is possible. Basically I have a data set with ~100 ...
1
vote
0answers
392 views

Polychoric PCA and component loadings in Stata

I’m using Stata 12.0, and I’ve downloaded the POLYCHORICPCA.ado written by Stas Kolenikov, which I wanted to use it with data that I have that includes a mix of categorical and continuous variables. ...
2
votes
1answer
123 views

Scaling mixed models for PCA using dudi.mix

I am trying to do a kselect model from the adehabitatHS which uses commands from ade4 package. I am trying to determine if I ...
4
votes
2answers
229 views

How to handle both text and numbers for PCA in R?

I'm relatively new to R and am working with a very large dataset that has a mix of numerical scores (for instance, household income) as well as text values (i.e. race). I was planning on using PCA to ...
1
vote
1answer
332 views

Use of further analysis on factors formed by principal component analysis in regression

I want to find out the relationship between 6 independent variable (4 categorical, 2 continuous) and 6 dependent variables (5 likert scale). As my data is categorical (likert scale) I thought of using ...
4
votes
1answer
3k views

How to perform principal components analysis on binary (Yes/No) data using SPSS?

I have a dataset with a large number of Yes/No responses. Can I use PCA or any other data reduction analyses for this type of data? Please advise how I go about doing this using SPSS.
5
votes
1answer
479 views

What is the advantage of transforming variables from nominal to ordinal/numerical when it reduces variance explained in CatPCA?

Context I have a dataset of 8 categorical variables. And I want to apply Categorical Principal Component Analysis (CatPCA). Before doing that, I have been advised to look at the transformation plots ...
25
votes
3answers
11k views

Can principal component analysis be applied to datasets containing a mix of continuous and categorical variables?

I have a dataset that has both continuous and categorical data. I am analyzing by using PCA and am wondering if it is fine to include the categorical variables as a part of the analysis. My ...
3
votes
1answer
1k views

Data transformation for Principal Components Analysis from different Likert scales

I have data from a survey comprised of several measures that used different Likert-type scaling (4-, 5-, and 6-point scales). I would like to run a principal components analysis using the data from ...