I just stumbled upon a post where someone recommended to use the natural (original raw) dataset and then use the (standardized = TRUE) in the summary() function. My question is that is it wrong to first scale the data (-z-score standardization) and also use the above argument in summary()?? Would the results' values be wrong/distorted if I have done so?
data<- read.csv("data.csv") # this is the raw original data but many variables have different scales/metric
scaled.data <- scale(data)
fit<- sem(model, scaled.data, sample.nobs = 210, estimator = "MLM")
summary (fit, ci = TRUE, fit.measures = TRUE, standardized = TRUE)