Applying the Estimation Using Pooled Data Approach to the Multitrait-Multimethod Experiments of the European Social Survey (Rounds 1 to 7). Issue 3 (4th May 2021)

• Record Type: Journal Article
• Authors: Revilla, Melanie; Poses, Carlos; Serra, Oriol; Asensio, Marc; Schwarz, Hannah; Weber, Wiebke
• Is Part Of: Structural equation modeling. Volume 28:Issue 3(2021)
• Page Start: 463
• Page End: 474
• Publication Date: 2021-05-04
• Subjects: Estimation Using Pooled Data (EUPD) -- European Social Survey (ESS) -- measurement quality -- split-ballot multitrait-multimethod (SB-MTMM) -- proper solution; Multivariate analysis -- Periodicals; Social sciences -- Statistical methods -- Periodicals; 519.535
• DOI: 10.1080/10705511.2020.1807988
• Languages: English
• ISSNs: 1070-5511

Abstract

ABSTRACT: A common way of estimating measurement quality is the split-ballot multitrait-multimethod (SB-MTMM) approach. However, it often leads to non-convergence or improper solutions, especially when using a 2-group design. Thus, the "Estimation Using Pooled Data" (EUPD) has been proposed to reduce these problems when cross-national data are available. To evaluate the performance of the EUPD procedure, we apply it to 30 SB-MTMM experiments conducted in the European Social Survey in a total of 34 countries. We find that the EUPD approach decreases the number of non-convergence and improper solutions compared to expected outcomes based on previous findings using a country-by-country approach. However, especially the problems of improper solutions are still not negligible.