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Comparing coefficients of nonlinear multivariate regression models between equations

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Kern, Christoph; Stein, Petra

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Abstract "The present study discusses the usage of non-linear constraints in regression models with multiple categorical outcomes. With this approach, effect differences between equations are made accessible to statistical tests while potential differences in residual variation are explicitly taken into account. In this context, it can be shown that the techniques reviewed by Williams (2010) are conjointly equivalent to the specification of non-linear constraints in multivariate regression models. However, the application of non-linear constraints extends these approaches into a structural equation modeling framework, which allows the researcher to address a broader range of research questions." (author's abstract)
Keywords regression; multivariate analysis; non-linear model
Classification Methods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methods
Free Keywords non-linear constraints; structural equation modeling; effect comparison
Document language English
Publication Year 2015
Page/Pages p. 159-167
Journal Survey Research Methods, 9 (2015) 3
ISSN 1864-3361
Status Published Version; peer reviewed
Licence Deposit Licence - No Redistribution, No Modifications