Multinomial logistic regression

Presenter(s): Dr Heini Väisänen

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This two-part series gives a short introduction to multinomial logistic regression. The method can be used in situations, where the outcome (dependent) variable has three or more categories. The series introduces the principles of the method, uses empirical examples to show how the method is applied and includes a computer workshop exercise task, which shows how to put this knowledge into practice using Stata. It is recommended that both videos should be viewed before attempting the computer workshop task.

Part 1: Introduction to multinomial logistic regression

This video introduces the method and when it should be used. It shows a simple example with one explanatory variable to illustrate how the method works and how the results can be interpreted using either odds ratios or predicted probabilities.

   Download transcript    |   Download slides [ 27820 Views ]

Part 2: Multiple multinomial logistic regression

This video discusses multinomial logistic regression models with more than one explanatory variable. It shows how the results can be interpreted either as odds ratios or predicted probabilities. It also introduces principles of model selection, including the use of Wald-tests and likelihood ratio tests.

   Download transcript    |   Download slides [ 11347 Views ]

About the author

A lecturer in Social Statistics and Demography in the University of Southampton (part time) and a researcher at the French Institute for Demographic Studies (INED) (full time). A social demographer interested in population, sexual and reproductive health in different parts of the world. I joined the Department of Social Statistics and Demography as a lecturer in 2015 and in 2021 switched to a part-time role after taking up a position at INED in Aubervilliers, France. I conducted my PhD studies in Demography at the London School of Economics and Political Science (LSE). The title of my thesis was “A Life Course Perspective to Abortions in Finland”. I hold an MSc in Social Research Methods from LSE (2012) and an MSocSci in Sociology from University of Helsinki (2010).

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