2005•Wiley series in probability and statisticsRequires access

Ordinal Regression

Peter Congdon

Abstract

This chapter contains sections titled: Aspects and assumptions of ordinal data models Latent scale and data augmentation Assessing model assumptions: non-parametric ordinal regression and assessing ordinality Location-scale ordinal regression Structural interpretations with aggregated ordinal data Log-linear models for contingency tables with ordered categories Multivariate ordered outcomes Exercises References

About this research paper

What this paper is about

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Key concepts: Ordinal regression, Ordinal data, Ordinal Scale, Contingency table, Multivariate statistics, Statistics, Econometrics, Scale (ratio)