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  Estimating and visualizing nonlinear relations among latent variables: A semiparametric approach

Pek, J., Sterba, S. K., Kok, B. E., & Bauer, D. J. (2009). Estimating and visualizing nonlinear relations among latent variables: A semiparametric approach. Multivariate Behavioral Research, 44(4), 404-437. doi:10.1080/00273170903103290.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-000F-E509-3 Version Permalink: http://hdl.handle.net/21.11116/0000-0002-FAAD-2
Genre: Journal Article

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 Creators:
Pek, J.1, Author
Sterba, S. K.1, Author
Kok, Bethany E.1, Author              
Bauer, D. J.1, Author
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1External Organizations, ou_persistent22              

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 Abstract: The graphical presentation of any scientific finding enhances its description, interpretation, and evaluation. Research involving latent variables is no exception, especially when potential nonlinear effects are suspect. This article has multiple aims. First, it provides a nontechnical overview of a semiparametric approach to modeling nonlinear relationships among latent variables using mixtures of linear structural equations. Second, it provides several examples showing how the method works and how it is implemented and interpreted in practical applications. In particular, this article examines the potentially nonlinear relationships between positive and negative affect and cognitive processing. Third, a recommended display format for illustrating latent bivariate relationships is demonstrated. Finally, the article describes an R package and an online utility that generate these displays automatically.

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 Dates: 2009-09-032009-07-31
 Publication Status: Published in print
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 Table of Contents: -
 Rev. Method: Peer
 Identifiers: DOI: 10.1080/00273170903103290
PMID: 26735591
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Title: Multivariate Behavioral Research
Source Genre: Journal
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Pages: - Volume / Issue: 44 (4) Sequence Number: - Start / End Page: 404 - 437 Identifier: -