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文章基本信息

  • 标题:Comparing Coefficients of Nonlinear Multivariate Regression Models Between Equations
  • 本地全文:下载
  • 作者:Christoph Kern ; Petra Stein
  • 期刊名称:Survey Research Methods
  • 印刷版ISSN:1864-3361
  • 出版年度:2015
  • 卷号:9
  • 期号:3
  • 页码:159-167
  • 语种:English
  • 出版社:European Survey Research Association
  • 其他摘要: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.
  • 其他关键词:non-linear constraints;structural equation modeling;effect comparison
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