Universitat Pompeu Fabra
2017-03-30T08:24:19Z
2017-03-30T08:24:19Z
2011
Saris, Satorra and Coenders (2004) proposed a new approach to estimate the quality of survey questions, combining the advantages of two existing approaches: the multitrait-multimethod (MTMM) and the split-ballot (SB) ones. Implemented in practice, this new approach led to frequent problems of non-convergence and improper solutions. This paper 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 play an important role.
Working document
English
Split-ballot multitrait-multimethod approach; Convergence; Heywood cases; Monte Carlo simulations; Quality of survey questions
RECSM Working Paper Series;19
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http://creativecommons.org/licenses/by/4.0/
