Statistik für Informationsmanager

Zeit/Ort

  • Montags bis Donnerstags, 09:00 bis 12:00 Uhr (Pause ca. 10:00-10:15)
  • MK 101 (Montags: MF 313)

Konstituierende Sitzung

  • 20.06.2005

Dozent

  • Klaus G. Troitzsch

Zielgruppe

  • Studierende des Bachelor-Studiengangs Informationsmanagement im 2. Semester

Leistungsnachweis

Zugehörige Veranstaltung

  • Übung, F 113, Mo-Do 14-16

 

 

 

Lehrmaterialien

Die Folien für den kompletten Kurs stehen hier, jetzt einschließlich Zeitreihenanalyse.

Der Inhalt der Vorlesung wird ausführlich behandelt in Andreas Engel, Michael Möhring, Klaus G. Troitzsch: Sozialwissenschaftliche Datenanalyse. Mannheim: BI Wissenschaftverlag 1995.

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

  1. Introduction: Data, Levels of Measurement, Types of Variables
  2. Univariate Statistics
  3. Bivariate Statistics, Nominal Data
  4. Bivariate Statistics, Ordinal Data
  5. Bivariate Statistics, Metric Data
  6. Multiple Regression
  7. Factor Analysis
  8. Cluster Analysis
  9. Discriminant Analysis
  10. Summary