Matches in SemOpenAlex for { <https://semopenalex.org/work/W4366289297> ?p ?o ?g. }
- W4366289297 endingPage "210" @default.
- W4366289297 startingPage "210" @default.
- W4366289297 abstract "Structural equation models (SEM) are widely used in the social sciences. They model the relationships between latent variables in structural models, while defining the latent variables by observed variables in measurement models. Frequently, it is of interest to compare particular parameters in an SEM as a function of a discrete grouping variable. Multiple-group SEM is employed to compare structural relationships between groups. In this article, estimation approaches for the multiple-group are reviewed. We focus on comparing different estimation strategies in the presence of local model misspecifications (i.e., model errors). In detail, maximum likelihood and weighted least-squares estimation approaches are compared with a newly proposed robust Lp loss function and regularized maximum likelihood estimation. The latter methods are referred to as model-robust estimators because they show some resistance to model errors. In particular, we focus on the performance of the different estimators in the presence of unmodelled residual error correlations and measurement noninvariance (i.e., group-specific item intercepts). The performance of the different estimators is compared in two simulation studies and an empirical example. It turned out that the robust loss function approach is computationally much less demanding than regularized maximum likelihood estimation but resulted in similar statistical performance." @default.
- W4366289297 created "2023-04-20" @default.
- W4366289297 creator A5048904991 @default.
- W4366289297 date "2023-04-17" @default.
- W4366289297 modified "2023-09-25" @default.
- W4366289297 title "Model-Robust Estimation of Multiple-Group Structural Equation Models" @default.
- W4366289297 cites W1523985187 @default.
- W4366289297 cites W1536884591 @default.
- W4366289297 cites W1963742443 @default.
- W4366289297 cites W1969502906 @default.
- W4366289297 cites W1974134238 @default.
- W4366289297 cites W1995945562 @default.
- W4366289297 cites W2008666452 @default.
- W4366289297 cites W2013955691 @default.
- W4366289297 cites W2024598906 @default.
- W4366289297 cites W2035779913 @default.
- W4366289297 cites W2050551672 @default.
- W4366289297 cites W2055176818 @default.
- W4366289297 cites W2058416167 @default.
- W4366289297 cites W2058991021 @default.
- W4366289297 cites W2066387895 @default.
- W4366289297 cites W2073300221 @default.
- W4366289297 cites W2074682976 @default.
- W4366289297 cites W2088633464 @default.
- W4366289297 cites W2093130286 @default.
- W4366289297 cites W2123268185 @default.
- W4366289297 cites W2138641327 @default.
- W4366289297 cites W2165202100 @default.
- W4366289297 cites W2336766371 @default.
- W4366289297 cites W2404350866 @default.
- W4366289297 cites W2476647140 @default.
- W4366289297 cites W2497249348 @default.
- W4366289297 cites W2536652887 @default.
- W4366289297 cites W2606657984 @default.
- W4366289297 cites W2607263590 @default.
- W4366289297 cites W2913984771 @default.
- W4366289297 cites W2914891039 @default.
- W4366289297 cites W2989464582 @default.
- W4366289297 cites W3014240881 @default.
- W4366289297 cites W3020482790 @default.
- W4366289297 cites W3027069850 @default.
- W4366289297 cites W3047358754 @default.
- W4366289297 cites W3067053859 @default.
- W4366289297 cites W3083698325 @default.
- W4366289297 cites W3139468644 @default.
- W4366289297 cites W3205926578 @default.
- W4366289297 cites W3210263027 @default.
- W4366289297 cites W4205806204 @default.
- W4366289297 cites W4220777469 @default.
- W4366289297 cites W4220843970 @default.
- W4366289297 cites W4220927369 @default.
- W4366289297 cites W4246784033 @default.
- W4366289297 cites W4255230573 @default.
- W4366289297 cites W4281384123 @default.
- W4366289297 cites W4285801375 @default.
- W4366289297 cites W4287219824 @default.
- W4366289297 cites W4292494783 @default.
- W4366289297 cites W4298091299 @default.
- W4366289297 cites W4307898740 @default.
- W4366289297 cites W4309243328 @default.
- W4366289297 cites W4318052340 @default.
- W4366289297 cites W4362459039 @default.
- W4366289297 cites W577685849 @default.
- W4366289297 cites W654454365 @default.
- W4366289297 cites W656740002 @default.
- W4366289297 doi "https://doi.org/10.3390/a16040210" @default.
- W4366289297 hasPublicationYear "2023" @default.
- W4366289297 type Work @default.
- W4366289297 citedByCount "0" @default.
- W4366289297 crossrefType "journal-article" @default.
- W4366289297 hasAuthorship W4366289297A5048904991 @default.
- W4366289297 hasBestOaLocation W43662892971 @default.
- W4366289297 hasConcept C105795698 @default.
- W4366289297 hasConcept C11413529 @default.
- W4366289297 hasConcept C120665830 @default.
- W4366289297 hasConcept C121332964 @default.
- W4366289297 hasConcept C134306372 @default.
- W4366289297 hasConcept C14036430 @default.
- W4366289297 hasConcept C143791395 @default.
- W4366289297 hasConcept C149782125 @default.
- W4366289297 hasConcept C155512373 @default.
- W4366289297 hasConcept C167928553 @default.
- W4366289297 hasConcept C182365436 @default.
- W4366289297 hasConcept C185429906 @default.
- W4366289297 hasConcept C192209626 @default.
- W4366289297 hasConcept C28826006 @default.
- W4366289297 hasConcept C33923547 @default.
- W4366289297 hasConcept C49781872 @default.
- W4366289297 hasConcept C51167844 @default.
- W4366289297 hasConcept C71104824 @default.
- W4366289297 hasConcept C78458016 @default.
- W4366289297 hasConcept C86803240 @default.
- W4366289297 hasConcept C89106044 @default.
- W4366289297 hasConcept C9936470 @default.
- W4366289297 hasConceptScore W4366289297C105795698 @default.
- W4366289297 hasConceptScore W4366289297C11413529 @default.
- W4366289297 hasConceptScore W4366289297C120665830 @default.
- W4366289297 hasConceptScore W4366289297C121332964 @default.