Revilla, MelanieSaris, Willem E.2020-12-142020-12-142013Revilla M, Saris WE. The split-ballot multitrait-multimethod approach: implementation and problems. Struct Equ Modeling. 2013 Jan 19;20(1):27-46. DOI: 10.1080/10705511.2013.7423791070-5511http://hdl.handle.net/10230/46006Saris, Satorra, and Coenders (2004) proposed a new approach to estimate the quality of survey questions, combining the advantages of 2 existing approaches: the multitrait–multimethod (MTMM) and the split-ballot (SB) ones. Implemented in practice, this new approach led to frequent problems of nonconvergence and improper solutions. This article uses Monte Carlo simulations to understand why the SB-MTMM is working well in some cases but not in others. The number of SB groups is a crucial element: The 3-group design is performing better. However, the 2-group design can also perform well: The analyses suggest that the interaction between the absolute values of the correlations between the traits and the relative values of the different correlations between traits plays an important role.application/pdfeng© This is an Accepted Manuscript of an article published by Taylor & Francis iStructural Equation Modeling: A Multidisciplinary Journal on 2013 Jan 19, available online: http://www.tandfonline.com/10.1080/10705511.2013.742379info:eu-repo/semantics/articlehttp://dx.doi.org/10.1080/10705511.2013.742379ConvergenceHeywood casesMonte Carlo cimulationsQuality of survey questionsSplit-ballot multitrait–multimethod approachinfo:eu-repo/semantics/openAccess