Hi,
I am looking for research about the impact of missing data (MD) on partial least squares path modelling (PLS-PM) analyses/results. Especially I am interested in how missingness alters the estimation of composites ("formative measurement model") in generell and of higher-order components (composites) in special.
Also it would be interesting to know how well (or badly) pairwise deletion works with this type of analyses in comparision to reflective measurement models, since this MD treatment is implemented in SmartPLS.
Any help or advice is highly appreciated!
Best regards,
Jan