Binary logistic regression
Presenter(s): Heini Väisänen
This three-part series gives a short introduction to binary logistic regression. The method can be used in situations, where the outcome (dependent) variable is binary. The series introduces the principles of the method, uses empirical examples to explain how the method is used and includes a computer workshop exercise task, which shows how to put this knowledge into practice using Stata. It is recommended that all three videos should be viewed before attempting the computer workshop task.
Part 1: Introduction to binary logistic regression
This video introduced the method and discusses how it differs from linear regression. It shows a simple example with one explanatory variable to illustrate how the method works and how the results can be interpreted using either log-odds, odds or predicted probabilities.
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Part 2: Multivariate binary logistic regression
This video discusses binary logistic regression models with more than one explanatory variable. It also introduces principles of model selection, including the use of Wald-tests and likelihood ratio tests.
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Part 3: Interactions in binary logistic regression
The last video of the series discusses how to interpret interaction effects in binary logistic regression models. Two options are presented: interpretation using predicted probabilities and interpretation using odds ratios.
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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).
- Published on: 3rd November, 2020
- Event hosted by: University of Southampton
- Keywords: Qualitative Data Handling and Data Analysis | Regression Methods | Logistic regression |
- To cite this resource:
Heini Väisänen. (3rd November, 2020) Binary logistic regression. National Centre for Research Methods online learning resource. Available at https://www.ncrm.ac.uk/resources/online/all/?main&id=20761 [accessed: March 31, 2023]
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