Hello,
I'm rather new to PCA, and I'm struggling to interpret and move forward with my output. The goal is to create a single proxy of bank risk using many bank-level variables (create a total score using the component factor scores). My struggle is with the the output after rotation (varimax).
Array
The benefit of rotation is that it become more easily to categorize and 'label' component. However, it does not seem straightforward here as the factor loadings are rather 'dispersed' and 'overlap' across traditional risk categories. Should I refrain from trying to categorize, take the output as it is and create my total risk scores? Or does this dispersion undermine the validity?
Related Posts with PCA Rotation confusion
SUCRA in Stata 16Dear all, I have noticed that the SUCRA command for network meta-analysis is not working in Stata 1…
identifying follow-up dates closest to a certain valueHello. I have a dataset with multiple follow-up dates (fu1, fu2 etc.) and corresponding morbidity s…
Specifying the linear predictor for random intercept model on panel data.Dear Stata Community, I am running a random intercept model on a longitudinal dataset where I am in…
trade structural gravity equation; instruments; ppmlhdfeI work with trade data: 75 importers, 75 exporters; 2004-2018 period, six-digit HS Industries (5219)…
Choosing a control condition in Interrupted time seriesDear colleagues how can I choose the best control condition in Interrupted time-series among the pos…
Subscribe to:
Post Comments (Atom)
0 Response to PCA Rotation confusion
Post a Comment