Empirical Research Methods
- Fakultät
Wirtschafts- und Sozialwissenschaften
- Version
Version 17.0 vom 27.05.2019
- Modulkennung
22M0601
- Modulname (englisch)
Empirical Research Methods
- Studiengänge mit diesem Modul
International Business and Management (Master) (M.A.)
- Niveaustufe
4
- Kurzbeschreibung
The module aims to enable students to select appropriate empirical research methods, correctly and efficiently apply these methods, and critically evaluate their own and other researchers results.
- Lehrinhalte
- 1. Background:
- 1.1. Theory of science
- 1.2. The research process
1.3 Quantitative and qualitative approaches to research - 1.4. Observational and experimental research
- 2. Study planning:
- 2.1. Developing research questions
- 2.2. Reviewing the literature
- 3. Data collection:
- 3.1. Research designs
- 3.2. Survey and questionnaire development
- 3.3. Quality criteria
- 3.4. Sampling and access to the field
- 4. Qualitatitve data analysis:
- 4.1. Content analysis after Mayring
- 4.2. Grounded theory
- 5. Quantitative data analysis:
- 5.1. Descriptive statistics visualizations
- 5.2. Bivariate significance tests
- 5.3. Multivariate tests
- 5.4. Application using software (e.g. R or SPSS)
- Lernergebnisse / Kompetenzziele
Wissensverbreiterung
The students know the major approaches to empirical research and the principle phases in which research takes place. They have developed a differentiated, view on scientific knowledge and findings from empirical studies.
Wissensvertiefung
The students know central principles of empirical research, terminology and conventions according to different major approaches.
Können - instrumentale Kompetenz
The students develop the competence to select, apply, and critically acclaim empirical research methods and results that are relevant to their research questions.
Können - kommunikative Kompetenz
The students are able to identify and clarify a research question. They are able to coordinate a research project, communicate their results and critically acclaim results reported by others.
Können - systemische Kompetenz
The students develop a principle understanding for the gathering, preparing, interpreting and presentation of data. The students are able to access the advantages and limits of novel methods for data collection, and analysis.
- Lehr-/Lernmethoden
Lectures, exercises, case studies, self-study, eLearning, supervised empirical research project
- Empfohlene Vorkenntnisse
none
- Modulpromotor
Markovic-Bredthauer, Danijela
- Lehrende
Faatz, Andreas
- Leistungspunkte
5
- Lehr-/Lernkonzept
Workload Dozentengebunden Std. Workload Lehrtyp 28 Vorlesungen 10 Übungen Workload Dozentenungebunden Std. Workload Lehrtyp 28 Veranstaltungsvor-/-nachbereitung 43 Hausarbeiten 23 Literaturstudium 18 Prüfungsvorbereitung
- Literatur
Chapman, C. N. (2015). R for Marketing Research and Analytics (2015th ed.). New York, NY: Springer.
Field, A. (2013). Discovering Statistics Using SPSS (4th Edition.). Los Angeles: Sage Publications Ltd.
Field, A., & Miles, J. (2012). Discovering Statistics Using R. London ; Thousand Oaks, Calif: Sage Publications Ltd.
Flick, U. (2014). An Introduction to Qualitative Research (5th edition.). Los Angeles: Sage Publications Ltd.
McClave, J. T., Benson, P. G., & Sincich, T. L. (2013). Statistics for Business and Economics: Pearson New International Edition (12th ed.). Pearson.
- Prüfungsleistung
- Klausur 2-stündig
- Mündliche Prüfung
- Portfolio Prüfung
- Bemerkung zur Prüfungsform
Die Portfolio-Prüfung umfasst 100 Punkte und besteht aus einer Hausarbeit (50 Punkte) und einer einstündigen Klausur (50 Punkte).
- Dauer
1 Semester
- Angebotsfrequenz
Nur Wintersemester
- Lehrsprache
Englisch