
Message/Author 

Dominique W posted on Thursday, August 01, 2013  10:26 am



I think I see the superiority of ESEM and yet wonder about its potential use beyond factor structure exploration and construct testing. More specifically, I understand ESEM to be a powerful EFA based on the SEM framework. Thus, as has been published, one may use it to explore the number of sensible factors for new constructs, evaluate item cross loadings, test construct invariance etc. I still like to better understand the power of ESEM for e.g. path models that test IVDV relationships. 1) For instance, example 5.25 from the manual, when would one employ such a model? 2) Many 'established' measures in psychology were developed 'before' SEM became popular. Often these measures do not show ideal psychometric properties: i.e. conceptually distinct latent constructs show insufficient divergent validity (e.g. items overlap and tap into the same mental phenomenon). Assuming a CFA measurement model shows inadmissible fit due to those existing measures employed as IVs, would one use ESEM to explore the construct nature of the IVs? And next estimate paths to DVs at the same time? (again example 5.25 from the manual) If so, would this be accepted practice, working backwards and reinterpreting what substantively may constitutes these revised factors that 'predict' an outcome? 


1) You may for instance have a new measurement instrument y1y6 which you don't have enough experience with to formulate a CFA, but can instead use EFA. And it can be related to the CFAs of y7y9 and y10y12, representing more established instruments for which CFA can be formulated. So here the predictive validity of the new instrument y1y6 can be explored. 2) Answers to all 3 of your questions would be Yes. Note also the existence of BSEM methodology as a companion technique to ESEM. With BSEM you assume that there is a bit more knowledge than with ESEM, so that BSEM is a bit closer to CFA. See the discussion in Muthén, B. & Asparouhov, T. (2012). Bayesian SEM: A more flexible representation of substantive theory. Psychological Methods, 17, 313335. which is available on our website. I think ESEM and BSEM represent big steps forward for SEM and should find increasing use. 

Dominique W posted on Friday, August 02, 2013  7:55 am



Thank you Benqt! While I still need time to digest the BSEM paper, some followup questions already, please. I agree that ESEM represents a big step forward for SEM. Let's be honest, many items don't exclusively reflect just one construct because constructs are often interrelated. Now, if relating overlapping latent constructs as IVs via ESEM to some DVs modelled via CFA .. 1) How 'established' should those DV constructs be? Even established constructs show crossloadings. 2) Returning to my question 2) from the prior post: using ESEM in a path model. Has this been published? Especially, working backwards and reinterpreting what substantively may constitutes these revised IV factors? 3) Who has experience or views on what justifies an ESEM (for reviewers)? Does the conceptual overlap of constructs suffice or must it be established that a conventional CFA does not fit the data? And if the latter, how would one argue that it is not a function of given study design or newly developed measure? 


1) Researchers should have found a wellfitting and substantively acceptable CFA for the constructs, preferably using many different samples so that the measurement model is not in question in the SEM analysis. That may include a limited number of crossloadings assuming they are substantively motivated. 2) Not sure it has been published. You may want to search the papers under Applications on our ESEM page: http://www.statmodel.com/ESEM.shtml 3) Also see the applied articles just referred to. I look forward to seeing your contributions to the ESEM (and BSEM) literature. 

Back to top 

