Empirical Social Research/Statistics

Faculty

Faculty of Business Management and Social Sciences

Version

Version 1 of 04.03.2025.

Module identifier

22B0779

Module level

Bachelor

Language of instruction

German

ECTS credit points and grading

5.0

Module frequency

only summer term

Duration

1 semester

 

 

Brief description

Both qualitative and quantitative methods of empirical social research play an important role in the extraction of theories and in their proof. This module presents various methods and their application using statistical software.

Teaching and learning outcomes

1. Introduction

2 The Research Process
2.1 Deductive approach
2.2 Inductive approach

3 Quantitative methods
3.1 The questionnaire
3.2 The structured interview
3.3 The structured observation

4 Qualitative methods
4.1 The interview
4.2 The content analysis
4.3 The observation

5 Statistical basics
5.1 Descriptive Statistics
5.2 Inductive statistics

6. Software-based analysis

Overall workload

The total workload for the module is 150 hours (see also "ECTS credit points and grading").

Teaching and learning methods
Lecturer based learning
Workload hoursType of teachingMedia implementationConcretization
30LecturePresence-
30PracticePresence-
Lecturer independent learning
Workload hoursType of teachingMedia implementationConcretization
30Preparation/follow-up for course work-
50seminar paper-
10Exam preparation-
Graded examination
  • Oral presentation, with written elaboration or
  • Written examination
Remark on the assessment methods

Oral presentation, with written elaboration: Presentation: approx. 20-40 minutes, associated paper approx. 5-10 pages

Exam duration and scope

Oral presentation, with written elaboration: Presentation: approx. 20-40 minutes, associated paper approx. 5-10 pages

Written examination: in accordance with the valid study regulations

The requirements are specified in the relevant class.

Knowledge Broadening

The students know different methods of empirical social research and can apply them to answer research questions. They have statistical knowledge in order to evaluate and interpret the results using software.

Knowledge deepening

The students know the various methods and their differences in detail, can select and apply the appropriate method.

Knowledge Understanding

Students will be able to evaluate the results of the analyses in light of the underlying research question. 

Application and Transfer

Students are able to create questionnaires and collect data. They can operationalize these and evaluate them using software.

Academic Innovation

Students are able to systematically address research questions using methods of empirical social research. They are able to contribute to answering these research questions.

Communication and Cooperation

Students are able to address research questions using empirical social research methods and communicate the results.

Academic Self-Conception / Professionalism

Students are able to critically reflect, question and communicate the possibilities and limitations of statistical methods in applied analyses. They are aware of the fundamental issues of data protection.

Literature

Diekmann, A.: Empirische Sozialforschung: Grundlagen, Methoden, Anwendungen

Rasch et al.: Quantitative Methoden Band 1 und 2

D?ring und Borzt: Forschungsmethoden und Evaluation in den Sozial- und Humanwissenschaften

Applicability in study programs

  • Public Management
    • Public Management, B.A.

    Person responsible for the module
    • Markovic-Bredthauer, Danijela
    Teachers
    • Markovic-Bredthauer, Danijela