Quantitative Research Methods and Statistics

• 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

Budischewski, K. und Kriens, K. (2015). SPSS für Einsteiger. Einführung in die Statistiksoftware für die Psychologie. Bühner, Markus und Matthias Ziegler (2017). Statistik für Psychologen und Sozialwissenschaftler. 2. Auflage. Hallbergmoos: Pearson. Burzan, N. (2015). Quantitative Methoden kompakt. Konstanz: UVK. Kallus, K. (2010). Erstellung von Fragebogen. Wien: facultas wuv. Kirchhoff, S. (2010). Der Fragebogen. Datenbasis, Konstruktion und Auswertung (5. Aufl.). Wiesbaden: VS Verlag. Kopp, J. und Lois, D. (2012). Sozialwissenschaftliche Datenanalyse. Eine Einführung. Berlin: Springer VS. Reiter, L. / Paier, D. / Reiger, H. (2020). Quantitative Sozialforschung. Eine Einführung. Wien: facultas wuv (im Erscheinen). Petersen, T. (2014). Der Fragebogen in der Sozialforschung. Konstanz: UVK. Porst, R. (2009). Fragebogen. Ein Arbeitsbuch (2. Aufl.). Wiesbaden: VS Verlag.

Planned learning activities and teaching methods

Input (classroom teaching and online), group work, presentation, discussion, feedback, problem-based learning, project-oriented learning

Assessment methods and criteria

Continuous assessment, final presentation and final written exam (research paper)

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

2023

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