I am investigating the longitudinal measurement invariance of a socio-emotional learning (SEL) measure (5 factors, 2 waves) using lavaan and the WLSMV estimator. I am following the identification ...

I'm using Scikit-Learn's FactorAnalysis in an application that relies on the assumption that the factors are uncorrelated. It would be great to have more interpretable factors, and an orthogonal ...

I ran an exploratory factor analysis in SPSS. There are supposed to be 9 items( factors) however the loadings are not as expected. The survey is a 5 point likert and all are quite highly rated. ...

I'm trying to setup a factor which measures (it's just an example) trust in institutions. The data was registered in more than 10 regions and it would be important to have the same factor structure in ...

For my factor analysis, I first created a scree plot and then a Very Simple Structure (VSS) plot to help discern the appropriate number of factors to retain. Using the psych package, here's my code to ...

Using the example from the psych package: library(psych) # ? fa.diagram f3 <- fa(Thurstone, 3, rotate="cluster") fa.diagram(f3, cut=.4, digits=2) f3l <- f3$loadings fa.diagram(f3l, ...

I'm trying to run psych::polychoric(), but each time I get this error: Error in cor(x, use = "pairwise") : supply both 'x' and 'y' or a matrix-like 'x' I'm struggling to understand why my &...

I am writing a function that will use the fa() function from the "psych" package. When fa() fails to converge, I want my function to discard the results and return an empty plot that just ...

I am trying to perform a confirmatory factor analysis in R based on a data set in data.frame form. For that, I would like to calculate the loading factor (\lambda), the construct reliability (CR) and ...

I want to compute factor analysis with mixed data (i.e., continous, categorical and binary) but I have a lot of warnings and it does not converge resulting in Nans ( objective num NaN, criteria NaN NA ...

The modelsummary::supported_models() includes factanal objects, to purportedly produce a summary table of a factor analysis model. However, the following two attempts fail library(modelsummary) ...

I tried to use factanal() from base R and fa() from the psych package to perform a factor analysis on data from a questionnaire with same response scale for each question. Why do I obtain different ...

I am trying to learn how to perform factor analysis in Pandas using the factor-analyzer module. I'm checking my work by running the same analysis in Stata. The initial, exploratory factor analysis ...

I have extremely little experience with factor analysis so my question may beyond rudimentary/remedial. My question is about data formatting. I have this dataset (well, this is just the first two of ...

In the Garch part of the specFfm from FactorAnalytics (standardization of the returns), shoudn't the dataDT$ts[i] be lagged one period based on the basic GARCH(1,1) formula? for ( i in 1: NROW(dataDT)...