• Summary
  • Contents
  • Subject index

A must-have reference resource for qualitative management researchers, this dictionary contains over 90 entries covering the fundamentals of qualitative methodologies; covering both analysis and implementation. Each entry gives an introduction to the topic, lists the key relevant features, gives a worked example, a concise summary and a selection of further reading suggestions. It is suitable for researchers and academics who need a handy and quick point of reference.

Proportional Odds Model
Proportional odds model
Introduction

The generalized linear modelling technique of proportional odds allows ordered categorical response variables to be modelled using a logit regression analysis. Ordered categorical variables are common in management research and can indicate, for example, levels of agreement (strongly agree to strongly disagree) to seniority in decision making and educational achievement. The proportional odds model is a logit model that can be viewed quite simply as an extension of logistic regression. This technique allows ordered data to be modelled by analysing it as a number of dichotomies. A binary logistic regression model compares one dichotomy (for example, passed–failed, died– survived, etc.), whereas the proportional odds model compares a number of dichotomies by arranging the ordered categories into a series of binary comparisons. ...

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