Module Handbook

  • Dynamischer Default-Fachbereich geändert auf WIW

Module WIW-HRMOB-HRMOB2-M-7

Empirical Human Resource Management and Organizational Behavior Research (M, 9.0 LP)

Module Identification

Module Number Module Name CP (Effort)
WIW-HRMOB-HRMOB2-M-7 Empirical Human Resource Management and Organizational Behavior Research 9.0 CP (270 h)

Basedata

CP, Effort 9.0 CP = 270 h
Position of the semester 2 Sem. from WiSe
Level [7] Master (Advanced)
Language [DE] German
Module Manager
Lecturers
Area of study [WIW-HRMOB] Human Resource Management, Leadership, and Organization
Reference course of study [WIW-88.21-SG] M.Sc. Business Studies
Livecycle-State [NORM] Active

Courses

Type/SWS Course Number Title Choice in
Module-Part
Presence-Time /
Self-Study
SL SL is
required for exa.
PL CP Sem.
6S WIW-HRMOB-PS-K-7
Project Seminar on Current Issues in Responsible Human Resource and Organization Management
P 90 h 180 h - - PL1 9.0 WiSe
  • About [WIW-HRMOB-PS-K-7]: Title: "Project Seminar on Current Issues in Responsible Human Resource and Organization Management"; Presence-Time: 90 h; Self-Study: 180 h

Examination achievement PL1

  • Form of examination: examination in form of partial achievements
  • Examination Frequency: Examination only within the course

Evaluation of grades

The grade of the module examination is also the module grade.

The final grade for the module is based on the total sum of achieved points considering the following weighting of partial achievements:
  • Interim presentations on milestones in the project (65%)
  • Practical tasks (10%)
  • Written final report on the project in the form of a short paper (25%)

Contents

Conducting an empirical research project on a current practice-oriented research question from the area of human resource management/organizational behavior, students get to know the fundamentals of empirical research as well as methods of data collection and data analysis that are relevant for both professional and research practice. Students attending the project seminar are being prepared for conducting an empirical research project or writing an empirical master thesis.

Contents:

  • The empirical research process: Literature analysis, identification of the research problem, development of hypotheses, study design and operationalization, data collection, data analysis and evaluation, interpretation and discussion of results, scientific documentation
  • Measurement and data collection instruments: Indices and scales, logic of measurement, interview, survey, observation, experimental and quasi-experimental design, field study
  • Methods of data analysis and evaluation: Content analysis (qualitative – quantitative), descriptive statistics, logic of statistical hypothesis testing, statistical and practical significance, methods for testing correlation and difference hypotheses

Competencies / intended learning achievements

Upon successful completion of the module, students will be able to
  • independently conduct an empirical research project on a scientific research question (e.g., in the context of a research project or a master thesis);
  • reflect and evaluate the current state of the art of research on the topic of the research project;
  • justify research questions and hypotheses by using a theory-driven approach;
  • choose a suitable research design and suitable methods of data collection and evaluation;
  • appropriately assess the results obtained in empirical studies;
  • recommend implications for research and managerial practice based on the results obtained in empirical studies;
  • responsibly support cooperation within the team regarding planning and reaching milestones;
  • convincingly defend gathered insights with arguments in front of a group in a scientific discourse.

Literature

  • Alreck, P. L., & Settle, R. B. (2004). The survey research handbook (3rd ed.). McGraw-Hill/Irwin.
  • Atteslander, P. (2010). Methoden der empirischen Sozialforschung [Methods of empirical social research] (13th ed.). Schmidt.
  • Backhaus, K., Erichson, B., Plinke, W., & Weiber, R. (2018). Multivariate Analysemethoden: Eine anwendungsorientierte Einführung [Multivariate analysis methods: An application-oriented introduction] (15th ed.). Springer. https://doi.org/10.1007/978-3-662-46076-4
  • Backhaus, K., Erichson, B., & Weiber, R. (2015). Fortgeschrittene multivariate Analysemethoden: Eine anwendungsorientierte Einführung [Advanced multivariate analysis methods] (3rd ed.). Springer Gabler. https://doi.org/10.1007/978-3-662-46087-0
  • Bortz, J., & Döring, N. (2016). Forschungsmethoden und Evaluation in den Sozial- und Humanwissenschaften [Research methods and evaluation in the social and human sciences] (5th ed.). Springer. https://doi.org/10.1007/978-3-642-41089-5
  • Bortz, J., & Schuster, C. (2010). Statistik für Human- und Sozialwissenschaftler [Statistics for human and social scientists] (7., vollst. überarb. und erw. Aufl.). Springer. https://doi.org/10.1007/978-3-642-12770-0
  • Bühner, M. (2011). Einführung in die Test- und Fragebogenkonstruktion [Introduction to test and survey construction] (3., aktual. und erw. Aufl.). Pearson Studium.
  • Cohen, J., Cohen, P., West, S. G., & Aiken, L. S. (2003). Applied multiple regression/correlation analysis for the behavioral sciences (3rd ed.). Lawrence Erlbaum.
  • Creswell, J. W., & Creswell, J. D. (2018). Research design: Qualitative, quantitative, and mixed methods approaches (5th ed.). Sage.
  • Dillman, D. A., Smyth, J. D., & Christian, L. M. (2014). Internet, phone, mail, and mixed-mode surveys: The tailored design method (4th ed.). Wiley.
  • Eid, M., Gollwitzer, M., & Schmitt, M. (2017). Statistik und Forschungsmethoden (5., korr. Aufl.). Beltz.
  • Rasch, B., Friese, M., Hofmann, W., & Naumann, E. (2014). Quantitative Methoden 1: Einführung in die Statistik für Psychologen und Sozialwissenschaftler [Quantitative methods 1: Introduction to statistics for psychologists and social scientists] (4., überarb. Aufl.). Springer. https://doi.org/10.1007/978-3-662-43524-3
  • Rasch, B., Friese, M., Hofmann, W., & Naumann, E. (2014). Quantitative Methoden 2: Einführung in die Statistik für Psychologen und Sozialwissenschaftler [Quantitative methods 2: Introduction to statistics for psychologists and social scientist] (4th ed.). Springer. https://doi.org/10.1007/978-3-662-43548-9
  • Saunders, M., Lewis, P., & Thornhill, A. (2019). Research methods for business students (8th ed.). Pearson.

Materials

  • OLAT course
  • Lecture notes with references
  • Exercises
  • Research articles

Requirements for attendance (informal)

Basic knowledge in statistics

Requirements for attendance (formal)

None

References to Module / Module Number [WIW-HRMOB-HRMOB2-M-7]

Module-Pool Name
[WIW-HRMOB-MPOOL-7] Field of Specialization: Human Resource Management and Organizational Behavior