Comparing BSEM and EUPD Estimates for Two-Group SB-MTMM Experiments. Issue 5 (3rd September 2019)

• Record Type: Journal Article
• Authors: Saris, Willem E.; Satorra, Albert
• Is Part Of: Structural equation modeling. Volume 26:Issue 5(2019)
• Page Start: 745
• Page End: 749
• Publication Date: 2019-09-03
• Subjects: Two-group SB-MTMM -- Bayesian analysis -- EUPD estimator -- Pooled data analysis -- invariance -- Monte Carlo experiment; Multivariate analysis -- Periodicals; Social sciences -- Statistical methods -- Periodicals; 519.535
• DOI: 10.1080/10705511.2019.1576046
• Languages: English
• ISSNs: 1070-5511

Abstract

Abstract : In 2018, two different approaches have been suggested to solve the estimation problems that have been detected during the analysis of the data of the two-group split ballot multi-trait multi-method (SB-MTMM experiments performed in many countries between 2002 and 2010 in the European Social Survey). One group suggested using the Bayesian estimation. The other group suggested a new estimation procedure (EUPD) that makes use of the pooled data across the different countries. In this note, we present a comparison of the results of the two approaches on the same generated data, which are comparable with the data that created problems in the ESS.