Descriptive and inferential statistics

Time/Room

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

First Session

  • 05/06/2007

Lecturer

  • Klaus G. Troitzsch

Intended Audience

  • Students of Information Management (BSc) 1st year

Exam

  • Two assignments (15 % each) and written examination (July 24 / September 25) (70 %), details on the German page
  • Second chance (March 4, 2008)

Related Event

  • Tutorial: Monday 08:30-10 or Tuesday 10-12 F 112/F 113

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, based on the knowledge gained in the lecture course on theory building, research process and data collection methods.

By the end of this module, a student should understand

  • which methods are used to analyse the data that are usually available for economists and social scientists,
  • which methods can be used for which purposes and which pitfalls they open.

Syllabus and time schedule of the lecture course

  1. Univariate Statistics (05/06 [definitely no lecture on 08/06!])
  2. Bivariate Statistics, Nominal Data (12-15/06)
  3. Bivariate Statistics, Ordinal Data (15-19/06)
  4. Bivariate Statistics, Metric Data; Multiple Regression (19/06, 22/06 [no lecture on 26/06 due to a meeting of the Hochschulrat!])
  5. Factor Analysis (03/07)
  6. Cluster Analysis (06/07)
  7. Discriminant Analysis (06/07 [no lecture on 13/07 due to EMIL project meeting!])
  8. Summary (10/07, 17/07, 20/07)

Course material

All slides for this course can soon be found here (to be updated).

The statistics discussed in this course is also dealt with in Andreas Engel, Michael Möhring, Klaus G. Troitzsch: Sozialwissenschaftliche Datenanalyse. Mannheim: BI Wissenschaftverlag 1995.

Basic Reading

SPSS

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

All Programs -> SPSS for Windows --> SPSS 15.0 for Windows

Additional information on SPSS:

Data Sets

This data sets will be used in the tutorial

Time schedule for the labs

Tutorials

To be discussed on

Delivery

Introduction to SPSS

11-12/06/2007

 

Data transformation/preparation

18-19/06/2007

15/06/2007

Univariate statistics

25-26/06/2007

23/06/2007 08:59:59

Bivariate statistics (nominal/ordinal)

02-03/07/2007

30/06/2007 08:59:59

Bivariate/Multiple Regression

09-10/07/2007

07/07/2007 08:59:59

Factor Analysis

16-17/07/2007

14/07/2007 08:59:59