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
Hayashi C statisticHi- anyone knows how this test [Hayashi C test] be done on Stata. …
Using a codebook generated by "describe, replace" to label another datasetHi I have built a readable codebook using the describe command as follows: Code: use "$mastData/D…
Between estimation Robust and Cluster robust Standard errors not optional?Dear all, Can some explain me why there is no 'cluster(id)' or 'robust' option for the following be…
Question about panel dataDear all, I am currently working on my MSc thesis in Finance and I use data from Orbis. I need to co…
Missing value generated after predicting standardized residualHello, When I predict standardized residuals after a regression (including a dummy where only 1 obs…
Subscribe to:
Post Comments (Atom)
0 Response to Create a composite score based on standardized individual measures
Post a Comment