Quantitative Research Methods and Statistics

Brief description

  • Research questions, hypotheses, operationalisation, quality criteria
  • Design of questionnaires: formulation of questions, answer scales
  • Samples and measuring, scales
  • Measure of location, measure of dispersion
  • Frequencies, graphic representation
  • Contingency tables
  • Correlations
  • Group comparisons: T-test, variance analysis
  • Regression analysis
  • Carrying out a quantitative project in small groups

Mode of delivery

face to face

Type

compulsory

Recommended or required reading and other learning resources/tools

Scharrer, E., & Ramasubramanian, S. (2021). Quantitative Research Methods in Communication: The Power of Numbers for Social Justice (1st ed.). Routledge. https://doi.org/10.4324/9781003091653

Planned learning activities and teaching methods

Synchrone und asynchrone Inputs (classroom teaching and online), group work, home work, discussions

Assessment methods and criteria

Homework, classroom participation, final written exam

Prerequisites and co-requisites

None

Infos

Degree programme

Digital HR & angewandtes Arbeitsrecht

Cycle

Master

ECTS Credits

3.00

Language of instruction

German

Curriculum

Part-Time

Academic year

2025

Semester

2 SS

Incoming

No

Learning outcome

After successful completion of the course, the students can

  • name the characteristics of a good scientific research question and formulate a research question and hypotheses
  • describe characteristics of a study population and select/explain the suitable population in view of the research design
  • develop a research design
  • determine relevant statistical tests in view of the research question and apply them to the collected data (by means of SPSS)
  • interpret the results of the evaluation in SPSS and deduce theory-driven conclusions
  • critically analyse the quality of different HR-relevant research

Course code

1705-21-01-BB-DE-19