Multilevel Logistic Regression for Polytomous Data and Rankings

@inproceedings{Skrondal2002MultilevelLR,
  title={Multilevel Logistic Regression for Polytomous Data and Rankings},
  author={Anders Skrondal},
  year={2002}
}
• Election-specific covariates: – [1987] – [1992] • Voter-specific covariates: – [Male] – [Age] Age in 10 year units – [Manual] Father a manual worker • Election and voter-specific covariate: – [Inflation] Since last election, prices fallen a lot → increased a lot • Election, voter and alternative-specific covariate: – [LRdist] Absolute distance between voters’s position on left-right political continuum and party’s mean position 

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Multilevel logistic regression for polytomous data and rankings

  • A. Skrondal, S. Rabe-Hesketh
  • Psychometrika
  • 2002

Multilevel logistic regression for polytomous data and rankings. Psychometrika, in press

  • A. • Skrondal, S. Rabe-Hesketh
  • GLLAMM framework:
  • 2002

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