Dear Stata users,
I have a question regarding the interpretation of the variable created from using predict varlist, rowscore after running Multiple Correspondence Analysis in STATA 14. I have no prior experience using MCA and my question is similar to this: https://www.stata.com/statalist/arch.../msg00853.html , but I found that there is no response regarding that question.
So, quoting from Stoebenau, my question is:
"Are the values generated from predicted P1 rowscores equivalent to summing coordinate weights across the matrix of variables included in the MCA?"
I'm trying to replicate a research paper where the author used the category weights from the first dimension of MCA, but I'm struggling to understand the predicted result in STATA since rowscore produces coordinate scores.
Related Posts with Interpreting MCA predict rowscores
How to create an iterative procedure to check variable by variable whether a given observation satisfies some criteria - string variablesDear all, I am working with string data and I would like to retrieve the most important word from a…
Clustering standard errors at industry levelDear Statalist members, Currently my data size is about 12,000 observations. The topic of my thesis…
Extracting first five and last three parts from string variable.Dear Stata users, I hope you are staying safe. I have data set with code and name like this. Code…
Loop (Macro) Regressions to output coefficients and p-valuesDear All I am working on multiple dependent variables in my research (Mean1, Mean2, Median1, Median…
if time dummies are dropped in system GMM; How we can interpret? - xtabond2Hello, I need your help. I hope you are staying safe. I have an unbalanced panel dataset. It includ…
Subscribe to:
Post Comments (Atom)
0 Response to Interpreting MCA predict rowscores
Post a Comment