Open Ikarobarreto opened 5 years ago
I am not sure what you mean by two-stage approach. Please provide a citation.
You can calculate composite scores by using the predict method.
In Becker et al (2012), authors comments:
"The sequential latent variable score method, or two-stage approach, has the advantage that latent variable scores are determined in PLS-SEM, and thus latent variables scores for lower-order latent variables can be obtained (Chin, 1998a; Lohm€oller, 1989; Tenenhaus et al., 2005). It estimates the construct scores of the first-order constructs in a first-stage model without the second-order construct present, and subsequently uses these first-stage construct scores as indicators for the higher-order latent variable in a separate second-stage analysis (e.g., Agarwal and Karahanna, 2000; Wetzels et al., 2009; Wilson and Henseler, 2007)"
Becker, J. M., Klein, K., & Wetzels, M. (2012). Hierarchical latent variable models in PLS-SEM: guidelines for using reflective-formative type models. Long Range Planning, 45(5-6), 359-394.
I will add an example of how to do that kind of analysis in the documentation. I will try to do it next week or the week after.
Thank you.
Hello Mikko Ronkko,
I am a user o matrixpls package in some workings papers. I'm trying to perform a higher-order PLS model using lavaan format specifications. I have some problems implementing two-stage approach. Can you give me some advice about how to obtaining factor scores or another tips to perform two-stage approach?
Best regards.