Robust nonlinear structural equation modeling with interaction between exogenous and endogenous latent variables

Jin, Shaobo, 1987- (författare): Uppsala universitet,Statistiska institutionen

Yang-Wallentin, Fan, Professor, 1962- (författare): Uppsala universitet,Statistiska institutionen

(creator_code:org_t)

2021-02-22
2021
Engelska.
Ingår i: Structural Equation Modeling. - : Taylor & Francis Group. - 1070-5511 .- 1532-8007. ; 28:4, s. 547-556

Relaterad länk:: https://urn.kb.se/re...; visa fler...; https://doi.org/10.1...; visa färre...

Abstract Ämnesord

Stäng

A handful of studies have been devoted to nonlinear structural equation modeling (SEM) in the literature. However, they generally overlooked the interactions among exogenous and endogenous latent variables and the interactions among endogenous latent variables. In this study, we propose a maximum likelihood approach for a nonlinear SEM model that incorporates such overlooked interactions. We also propose a two-stage pseudo maximum likelihood approach under the assumption of a normal mixture, being computationally efficient and robust against distributional misspecification. The simulation study shows that both approaches accurately estimate the unknown parameters if the distribution is correctly specified. However, only the pseudo maximum likelihood approach is robust against distributional misspecification.

Av författaren/redakt...: Jin, Shaobo, 198 ...; Noh, Maengseok; Yang-Wallentin, ...; Lee, Youngjo

Om ämnet

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.