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Person regression models

  • Wim Van den Noortgate
  • Insu Paek
Part of the Statistics for Social Science and Public Policy book series (SSBS)

Abstract

In this chapter, we focus on the person side of the logistic mixed model. As described in Chapter 2, the simple Rasch model can be extended by including person characteristics as predictors. The resulting models can be called latent regression models, since the latent person abilities (the θs) are regressed on person characteristics. A special kind of a person characteristic is a person group: for instance, pupils can be grouped in schools. Then there are two possibilities for modeling, either we can define random school effects, or we can utilize school indicators with fixed effects.

Keywords

Item Difficulty Item Parameter Measurement Occasion Trait Anger Latent Regression 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media New York 2004

Authors and Affiliations

  • Wim Van den Noortgate
  • Insu Paek

There are no affiliations available

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