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ERIC Number: EJ949226
Record Type: Journal
Publication Date: 2011
Pages: 17
Abstractor: As Provided
ISSN: ISSN-1070-5511
Confidence Intervals for a Semiparametric Approach to Modeling Nonlinear Relations among Latent Variables
Pek, Jolynn; Losardo, Diane; Bauer, Daniel J.
Structural Equation Modeling: A Multidisciplinary Journal, v18 n4 p537-553 2011
Compared to parametric models, nonparametric and semiparametric approaches to modeling nonlinearity between latent variables have the advantage of recovering global relationships of unknown functional form. Bauer (2005) proposed an indirect application of finite mixtures of structural equation models where latent components are estimated in the service of more flexibly recovering characteristics of the latent aggregate regression function. This article develops and evaluates delta method and parametric bootstrap approaches for obtaining approximate confidence intervals for Bauer's semiparametric approach to modeling latent nonlinear functions. Coverage rates of these approximate point-wise confidence intervals or nonsimultaneous confidence bands are evaluated by Monte Carlo and recommendations for their use are suggested. (Contains 8 figures and 1 footnote.)
Psychology Press. Available from: Taylor & Francis, Ltd. 325 Chestnut Street Suite 800, Philadelphia, PA 19106. Tel: 800-354-1420; Fax: 215-625-2940; Web site:
Publication Type: Journal Articles; Reports - Descriptive
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A