Quantitative Methods in the Social Sciences I
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
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.
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Course structure
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, 7.5 credits 2020 (232 Kb)
Teaching format
The course is offered at half-time over 10 weeks. Course participants and instructors meet approximately once 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
Assessment
The examination consists of active participation, individual assignments, and a take-home exam.
Examiner
Docent/Lecturer: Sven Drefahl
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Schedule
This is a preliminary schedule and is subject to continuous change. For this reason, we do not recommend print-outs. At the start of the course, your institution will advise where you can find your schedule during the course. -
Contact
Student affairs office
studentexp@sociology.su.se
+46-8-161285, room B980Questions about master's courses/programmes:
master@sociology.su.seStudy counsellor
studievagledare@sociology.su.se
Tel: +46-8-163190, room B982
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