Module PY1802-KP08

Duration

1 Semester

Turnus of offer

each summer semester

Credit points

8

Course of studies, specific fields and terms:

• Bachelor Media Informatics 2020, compulsory, psychology

Classes and lectures:

• Statistics and Methods of User Research (exercise, 1 SWS)
• Statistics and Methods of User Research (seminar, 2 SWS)
• Statistics and Methods of User Research (lecture, 2 SWS)

Workload:

• 30 hours (see module parts)
• 90 hours in-classroom work
• 120 hours private studies and exercises

Contents of teaching:

• EMPIRICAL METHODS IN USER RESEARCH:
• Basic scientific understanding
• Philosophy of Science, Ethics and Open Science
• Research designs and experimental designs
• Planning, organising and conducting studies
• Population and samples
• Qualitative methods (research questions, data collection, analysis)
• Quantitative operationalisation and data collection methods (scale levels and questionnaire design)
• STATISTICS ON USER RESEARCH:
• Data preparation and data visualisation
• Methods of descriptive statistics (e.g. measures of central tendency and measures of dispersion)
• Methods of inferential statistics (parametric and non-parametric methods)
• Principles of statistical hypothesis testing (including assumptions and power analyses/effect sizes)
• Statistical analysis of hypotheses regarding associations and differences
• Other statistical methods (e.g. chi-square test)
• Presentation, interpretation and discussion of statistical results
• Use of statistical software

Qualification-goals/Competencies:

• Students can refer to, present and explain basic concepts of quantitative data analysis, that are of central importance for the collection, evaluation and interpretation of psychological data in the context of human-centered design.
• The students can transfer scientific questions into concrete experimental plans of quantitative and qualitative user research and structure them into subtasks.
• Students can independently select suitable methods from the pool of existing quantitative and qualitative methods/scales in the field of user research.
• Students can carry out data collection and subject acquisition themselves in practice.
• Students can evaluate data using typical statistical programs and have basic skills required for qualitative data evaluation.
• Students can interpret statistical results independently and appropriately.

Grading through:

• Participation in research studies
• written exam

Responsible for this module:

• Prof. Dr. phil. André Calero Valdez

Teacher:

• Institute of Human-Centered Interactive Systems
• Prof. Dr. phil. André Calero Valdez

Literature:

• Eid, M., Gollwitzer, M., & Schmitt, M. : Statistik und Forschungsmethoden (4th ed.). Weinheim: Beltz. 2015
• Field, A., Miles, J., & Field, Z. : Discovering Statistics Using R London: Sage. 2012

Language:

• offered only in German

Notes:

Last Updated:

18.03.2026