Hi,
I would like to create a composite/overall measure based on some individual proxies (eg. A, B, C, D, E). Besides ranking these individual variables before adding them together, can I also try to standardize these variables by calculating the z score since they are different scales? If yes, how can I (potentially use SmartPLS) create a formative latent variable using the Z scores of these individual measures to create an overall measure? (Lohmoller, J.B. 1989. Latent variable path modeling with partial least squares. Heidelberg, Germany: Physcia-Verlag). Thanks!
Related Posts with Create a composite score based on standardized individual measures
How to sum variable by year for specific group idThe original dataset has the following structure: group_id | year | varx 1 1998 5 1 1998 5 1 1999 2…
Reshaping long to wide problemsHello everyone, I am dealing with a large national database (TQIP) which has a series of variables …
Creating subset in STATADear Madam/Sir, I run the following regression and want to use only observations (77,626) that regr…
Collapse/aggregate on hourly levelHello everyone, I have a dataset reporting diesel price changes for different petrol stations (stat…
Stata technique for CPPMLHello, does anyone have practical experience in Stata with Constrained Poisson Pseudo Maximum Likel…
Subscribe to:
Post Comments (Atom)
0 Response to Create a composite score based on standardized individual measures
Post a Comment