NDLI: Finite Mixtures for Simultaneously Modeling Differential Effects and Nonnormal Distributions

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Finite Mixtures for Simultaneously Modeling Differential Effects and Nonnormal Distributions

Content Provider	Scilit
Author	George, Melissa R. W. Yang, Na Jaki, Thomas Feaster, Daniel J. Lamont, Andrea E. Wilson, Dawn K. Horn, M. Lee Van
Copyright Year	2013
Description	Journal: Multivariate behavioral research Regression mixture models have been increasingly applied in the social and behavioral sciences as a method for identifying differential effects of predictors on outcomes. While the typical specification of this approach is sensitive to violations of distributional assumptions, alternative methods for capturing the number of differential effects have been shown to be robust. Yet, there is still a need to better describe differential effects that exist when using regression mixture models. The current study tests a new approach that uses sets of classes (called differential effects sets) to simultaneously model differential effects and account for non-normal error distributions. Monte Carlo simulations are used to examine the performance of the approach. The number of classes needed to represent departures from normality is shown to be dependent on the degree of skew. The use of differential effects sets reduced bias in parameter estimates. Applied analyses demonstrated the implementation of the approach for describing differential effects of parental health problems on adolescent body mass index using differential effects sets approach. Findings support the usefulness of the approach which overcomes the limitations of previous approaches for handling non-normal errors.
Related Links	http://europepmc.org/articles/pmc4337809?pdf=render https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4337809/pdf
Ending Page	844
Page Count	29
Starting Page	816
ISSN	00273171
e-ISSN	15327906
DOI	10.1080/00273171.2013.830065
Journal	Multivariate behavioral research
Issue Number	6
Volume Number	48
Language	English
Publisher	Informa UK Limited
Publisher Date	2013-11-01
Access Restriction	Open
Subject Keyword	Journal: Multivariate behavioral research Mathematical Social Sciences Regression Mixture Models Non-normal Errors Differential Effects
Content Type	Text
Subject	Experimental and Cognitive Psychology Statistics and Probability Arts and Humanities Medicine

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