Universität Wien
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230184 SE Multiple Linear Regression (2009W)

5.00 ECTS (2.00 SWS), SPL 23 - Soziologie
Continuous assessment of course work

Erster Termin: Mo 23.11.09 09:00-14:00 Teilnahme unbedingt erforderlich,
Sa 5.12.09, 13:00-18:00
Do 17.12.09, 10:00-15:00
Mo 11.01.10, 09:00-14:00
Letzter Termin: Mo 18.01.10, 09:00-14:00
Neues Institutgebäude (NIG), Universität Wien, Universitätsstraße 7, 1010 Wien
Kursraum A (23.11., 11.01., 18.01.) und Kursraum B (05.12., 17.12).

ANMELDUNG: über univis ab sofort bis 16.11.2009, 12:00 Uhr

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).

Details

max. 35 participants
Language: German

Lecturers

Classes

Currently no class schedule is known.

Information

Aims, contents and method of the course

This course provides a practical and applied introduction to ordinary least squares (OLS) regression, one of the most widely-used statistical methods in the social sciences. By the end of this course, you will be able to construct and interpret OLS regression models. You will have a firm understanding of the assumptions of the model, the differences between various types of independent variables and how to identify and address possible dangers and problems. You will also be able to evaluate critically OLS models used in scholarly journals.

The course will cover all the basic aspects of this technique in five sessions. We will begin by reviewing basic statistical concepts, such as comparing means and testing hypotheses, before moving on to the analysis of the association of two continuous variables. The next session will present simple linear regression and the assumptions underlying OLS regression. The final three sessions cover the core of this method. First, we examine in detail multiple regression models, concentrating on the practical interpretation of results. Then, different types of explanatory variables are introduced, with a focus on binary/nominal variables and interaction effects. In the final session, an overview of possible problems and their remedies is provided, and we will consider how to approach model-building in OLS regression.

Each class will be a mixture of short lectures and computer exercises. Class exercises and homework will be carried out using SPSS.

Some basic prior training in quantitative methods will help students taking this course.

Preliminary schedule
Session 1: Review of basic statistical concepts; correlation between two variables
Session 2: Simple linear regression; the assumptions of OLS regression
Session 3: Multiple linear regression; interpretation and inference
Session 4: Types of explanatory variables: nominal independent variables; non-linearity; interaction effects; transforming independent variables
Session 5: Regression diagnostics and principles of model-building

Assessment and permitted materials

- Participation required in all five classes
- 10-15 page problem-set paper on main concepts and interpretation of results, assigned after the last class OR 10-15 page paper on main concepts, challenges and interpretation of results based on the perceived topic of the Masters' thesis (50%). Deadline: 15 March 2010
- Homework and problem sets after each class, to be submitted at four set dates (40%)
- Continuous assessment of class participation (10%)

Minimum requirements and assessment criteria

Teilnahmevoraussetzungen: MA-Level.
Das Seminar ist für MA-Studierende konzipiert. Es findet im neu konzipierten MA-Modul der Fakultät für Sozialwissenschaften statt und kann als Zusatzmethodenveranstaltung besucht werden. Es ersetzt nicht die Pflichtmethodenveranstaltung der jeweiligen Studienrichtung.

Examination topics

Reading list

Dougherty, Christopher (2007) Introduction to Econometrics, 3rd edition, Oxford University Press.
Field, Andy (2009) Discovering Statistics using SPSS, 3rd edition, Sage Publications.
Agresti, Alan and Barbara Finlay (2008) Statistical Methods for the Social Sciences, 4th edition, Pearson Education.
Wooldridge, Jeffrey (2009) Introductory Econometrics, 3rd edition, South Western College.

Additional literature references will be provided throughout the course.

Association in the course directory

in 905: MA Methoden oder MA EM Erweiterung Methoden |
in 121: Methoden, 3. Studienabschnitt

Last modified: Mo 07.09.2020 15:39