MY552A Half Unit
Applied Regression Analysis
This information is for the 2025/26 session.
Course Convenor
Prof Jouni Kuha
Availability
This course is available on the MPhil/PhD in Demography (Social/Formal), MPhil/PhD in European Studies, MPhil/PhD in Health Policy and Health Economics, MPhil/PhD in International Relations, MPhil/PhD in Management - Information Systems and Innovation, MPhil/PhD in Social Policy, MPhil/PhD in Sociology, MRes in Management (Employment Relations and Human Resources), MRes in Management (Marketing), MRes in Management (Organisational Behaviour) and MRes in Political Science. This course is freely available as an outside option to students on other programmes where regulations permit. It does not require permission.
This course is not controlled access. If you register for a place and meet the prerequisites, if any, you are likely to be given a place.
Requisites
Mutually exclusive courses:
This course cannot be taken with MY552W at any time on the same degree programme.
Additional requisites:
The course assumes a good working knowledge of basic descriptive statistics and statistical inference, to the level covered on a standard introductory statistics course such as MY451/MY551 (Introduction to Quantitative Analysis). Some prior familiarity with linear regression modelling will also be useful.
Course content
The course provides an introduction to statistical regression modelling and different types of regression models that are commonly used in the social sciences. The main topics covered are linear regression models, binary logistics models for dichotomous outcomes, multinomial and ordinal logistic models for polytomous outcomes, and Poisson and negative binomial regression models for counts. Examples are drawn from different social sciences. The course includes computer classes, where the R software is used for computation. Prior knowledge of R is not required.
Teaching
10 hours of seminars and 20 hours of lectures in the Autumn Term.
2 hours of lectures in the Spring Term.
This course has a reading week in Week 6 of Autumn Term.
The course runs twice per year: in AT (MY552A) and again in LT (MY552W). The content of the course, and the method of assessment, is exactly the same in each term.
Formative assessment
Weekly multiple-choice quizzes on Moodle, with feedback on the answers.
Indicative reading
- A course pack will be available for download online.
- Gelman, A., Hill, J. & Vehtari, A. (2022). Regression and Other Stories. Cambridge University Press.
- Agresti, A. (2018). Statistical Methods for the Social Sciences. Pearson Education Limited.
- James, G., Witten, D., Hastie, T., and Tibshirani, R. (2021). An Introduction to Statistical Learning with Applications in R. Springer.
Assessment
Exam (100%), duration: 120 Minutes in the Spring exam period
Key facts
Department: Methodology
Course Study Period: Autumn and Spring Term
Unit value: Half unit
FHEQ Level: Level 8
CEFR Level: Null
Total students 2024/25: 7
Average class size 2024/25: 2
Controlled access 2024/25: NoCourse selection videos
Some departments have produced short videos to introduce their courses. Please refer to the course selection videos index page for further information.