Using weights from a SmartPLS model to estimate LVs in a second sample
Posted: Thu Jun 21, 2018 8:43 pm
Hi all,
I have estimated several SmartPLS models including a reflective dependent latent variable, behavior, and several formative independent latent variables, all of which have are measured with a number of manifest variables. I would like to use the weights from these models to estimate the dependent and independent latent variables in a large sample for which I have manifest variables. Here’s the issue: The small test sample is not a random subset of the large population I want to generalize to. The sample I use to get the estimates consists of two groups (types of individuals) which are fairly homogeneous within and very different between in terms of behavior and personality. I get huge R2s and path coefficients. The large sample for which I want to estimate the latent variables is much more heterogeneous. Can I legitimately use the estimates from the test sample to calculate latent variables for the large sample? Thanks.
I have estimated several SmartPLS models including a reflective dependent latent variable, behavior, and several formative independent latent variables, all of which have are measured with a number of manifest variables. I would like to use the weights from these models to estimate the dependent and independent latent variables in a large sample for which I have manifest variables. Here’s the issue: The small test sample is not a random subset of the large population I want to generalize to. The sample I use to get the estimates consists of two groups (types of individuals) which are fairly homogeneous within and very different between in terms of behavior and personality. I get huge R2s and path coefficients. The large sample for which I want to estimate the latent variables is much more heterogeneous. Can I legitimately use the estimates from the test sample to calculate latent variables for the large sample? Thanks.