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Activity Number: 270
Type: Contributed
Date/Time: Monday, August 1, 2016 : 3:05 PM to 3:50 PM
Sponsor: Social Statistics Section
Abstract #321538
Title: Effect Comparison in Multilevel Structural Equation Models with Non-Metric Outcomes
Author(s): Christoph Kern* and Petra Stein
Companies: University of Duisburg-Essen and University of Duisburg-Essen
Keywords: multilevel probit SEM ; effect comparison ; non-linear constraints

This study discusses difficulties of effect comparisons in multilevel structural equation models with non-metric outcomes, such as nonlinear dyadic mixed-effects regression. In these models, the fixation of the level-1 error variances induces substantial drawbacks in the context of effect comparisons which align with the well-known problems of standard single- and multilevel nonlinear models. Specifically, the level-1 and level-2 coefficients as well as the level-2 variance components are implicitly rescaled by the amount of unobserved level-1 residual variation and thus may apparently differ across (and within) equations despite of true effect equality. Against this background, the present study discusses a multilevel extension of the method proposed by Sobel and Arminger (1992) with which potential differences in level-1 residual variation can be taken into account through the specification of non-linear parameter constraints. The problems of effect comparisons in multilevel probit SEM's and the proposed correction method are exemplified with a simulation study.

Authors who are presenting talks have a * after their name.

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