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ERIC Number: EJ865098
Record Type: Journal
Publication Date: 2009
Pages: 30
Abstractor: As Provided
Reference Count: 36
ISSN: ISSN-0027-3171
Estimating and Visualizing Nonlinear Relations among Latent Variables: A Semiparametric Approach
Pek, Jolynn; Sterba, Sonya K.; Kok, Bethany E.; Bauer, Daniel J.
Multivariate Behavioral Research, v44 n4 p407-436 2009
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. (Contains 10 figures, 1 table, and 4 footnotes.)
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 - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Assessments and Surveys: Marlowe Crowne Social Desirability Scale