Research Methods in Economics and Social Science

Time/Room

  • Thursday and Friday, 08:30-10:00
  • MK 101

First Session

  • 28/04/2006

Lecturer

  • Klaus G. Troitzsch

Intended Audience

  • Students of Information Management (BSc) 1st year
  • Students of Computer Science, minor IS Research, 3rd year

Exam

  • Two assignments (25 % each) and written examination 03/08/2006 9-11 E 011 (50 %)
  • Second chance (definitely on 10/01/2007 10-12 K 101)

Related Event

  • Tutorial: Tuesday 10-12 and Thursday 08:30-10, F 112/F 113, start: May 18, 2006

More info and link to course material

Overview

The aim of this module is to give an introduction into the statistical methods of the social and economic sciences, with special emphasis on the research process and data collection methods.

By the end of this module, a student should understand

  • what social science is and how it is done,
  • what the relationship between theory and data is and which role modeling has,
  • which types of data are available to the social scientist and
  • which methods are used to collect and analyse these data.

Syllabus and time schedule of the lecture course

  1. Social Science as Empirical Science (28/04, 02/05)
  2. Topics and Questions of Social Science (02/05)
  3. Paradigms in Social Science (05/05)
  4. Induction and Deduction (09/05)
  5. Observation, Measurement and Experiment in the Social Sciences (09/05, 12/05, 16/05)
  6. Surveys and Questionnaires (19/05, 23/05, 30/05, 02/06)
  7. Univariate Statistics (13/06, 16/06)
  8. Bivariate Statistics, Nominal Data (20/06)
  9. Bivariate Statistics, Ordinal Data (20/06)
  10. Bivariate Statistics, Metric Data (23/07, 27/06) no lectures on June 30 and July 4!
  11. Multiple Regression (07/07)
  12. Factor Analysis (07/07, 11//07)
  13. Cluster Analysis (14/07)
  14. Time Series Analysis (18/07, 21/07)
  15. Summary (25/07, 28/07)
  16. Written examination (03/08, 9-11 E 011)

Course material

All slides for this course can be found here.

The statistical part of this course (topics 7 through 13) is also dealt with in Andreas Engel, Michael Möhring, Klaus G. Troitzsch: Sozialwissenschaftliche Datenanalyse. Mannheim: BI Wissenschaftverlag 1995.

Research methods, particularly data collection methods are dealt with in this paper (which has not been revised for al long time!).

Basic Reading

SPSS

The data analysis software system SPSS is available in all labs using XP:

All Programs -> SPSS for Windows --> SPSS 13.0 for Windows

Additional information on SPSS:

Data Sets

Three data sets will be used in the tutorial

Time schedule for the labs

Tutorials

 

Delivery

Introduction to SPSS

18.05./23.05.

 

Data transformation/preparation

30.05./01.06.

28.05.

Univariate statistics

20.06/22.06.

18.06.

Bivariate statistics (nominal/ordinal)

06./11.07.

02.07.

Bivariate/Multiple Regression

13./18.07.

11.07.

Factor Analysis/Cluster analysis

20./25.07.

19.07.

Time series analysis

25./27.07.