Analysis of Experimental- and Survey-Data

Lecturer: Dr. Constantin Weiser
Lecture ID:

t.b.a.

Contact Time: 2 SWS Lecture + 2 SWS Tutorial
Credits: 6 ECTS for Master Students
Time/Place: - currently no face-to-face sessions planed -
Start: calender week 17
Language: English

This course will be an online-course at ILIAS in the summer-term 2020

Content:

This module covers the empirical process based on experimental or survey data.

(1) Introduction

  • empirical approach to science
  • hypotheses building

 

(2) Study design

  • experimental design
  • survey design
  • sampling methods

 

(4) data management

  • wrangling
  • imputation

 

(5) analysis approaches

  • group comparison (t-test, multiple testing problem)
  • linear/non-linear regression (logistic-regression)
  • factor analysis / principal component
  • cluster analysis / multidimensional scaling
  • structural equation models

This module addresses students’ ability to apply empirical methods, which are common in fields as market research, human resource management, strategic planning but also business- and economic sciences. The module is designed for users.

Assessment:

Homework (prepared in groups)

Material:

Course materials will be downloadable from the e-learning platform ILIAS.