Quantitative Methods in the Social Sciences I
7.5 credits cr.
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The objective of the course is to provide a comprehensive introduction to regression analysis and its uses and limitations. The focus of the course is on linear regression analysis of continuous dependent variables, but it also introduces to logistic regression analysis. The course covers both bivariate regression and multivariate regression analysis
After spring 2023 this course will move to the autumn semesters. The next time the course will be given after spring 2023 is at halftime in period C and D autumn 2023.
Within these topics, we discuss confounding and indirect effects, interaction effects, variable transformations, outliers, heteroscedasticity, and multicollinearity. Specific attention will be paid to considerations of which research questions the different methods can answer as well as the presentation and interpretation of the results, including their limitations. The course requires prior knowledge on quantitative data analysis. Previous experience of the statistics software Stata is recommended. The course is also suitable for those who want to refresh their regression analysis skills. The course prepares for advanced courses in quantitative research methods, such as Quantitative Methods in the Social Sciences 2, SO7033.
The course focuses primarily on Ordinary Least Squares (OLS) regression with continuous dependent variables, but also covers the analysis of binary dependent variables (including logistic regression). These methods will be approached through their two main purposes, namely the estimation of the effects of variables and the explanation of variance. The course starts with a discussion of binary regression analysis, followed by multiple regression, confounding, and indirect effects. Other topics covered include dummy variables and variable transformations, interactions, and outliers, heteroscedasctity, and multicollinearity.
Course PM - all you need to know
Quantitative Methods in the Social Sciences I 2023 (196 Kb)
The course is offered at half-time over 10 weeks. Course participants and instructors meet approximately twice a week for lectures, computer-based exercises and/or seminars using Stata. Course participants submit exercises and comment on peers’ exercises in Athena and/or during seminars
The examination consists of active participation, individual assignments, and a take-home exam.
Docent/Lecturer: Sven Drefahl
ScheduleThe schedule will be available no later than one month before the start of the course. We do not recommend print-outs as changes can occur. At the start of the course, your department will advise where you can find your schedule during the course.
Course literatureNote that the course literature can be changed up to two months before the start of the course.
Directors of studies, all levels
Questions about all master's courses/programmes at the Department of Sociology: firstname.lastname@example.org