Es ist eine neuere Version 2026W dieser LV im Curriculum Master's programme Social Economics 2026W vorhanden.
(*) Unfortunately this information is not available in english.
Workload
Education level
Study areas
Responsible person
Hours per week
Coordinating university
4 ECTS
B2 - Bachelor's programme 2. year
Statistics
Andreas Quatember
2 hpw
Johannes Kepler University Linz
Detailed information
Pre-requisites
(*)keine
Original study plan
Bachelor's programme Statistics and Data Science 2025W
Learning Outcomes
Competences
Students are able to apply the concepts of survey statistics with regard to sampling procedures, estimation methods and compensation for non-sampling errors.
Skills
Knowledge
Knowing and understanding of the basic problems, terms and measures of survey statistics (k1,k2)
Applying and critically evaluating different sampling designs (k3,k4, k5)
Applying survey-statistical methods with the freeware R (k3)
Understanding and applying the simulation approach of survey statistics (k2,k3)
Basic concepts and quality criteria of survey statistics
Probability and non-probability sampling methods
Estimation methods
Variance estimation methods
Estimation under nonresponse
The simulation approach of survey statistics
Survey statistics with the freeware R
Criteria for evaluation
Homeworks and written exam
Methods
Presentations by the instructor
Homeworks
Language
German
Study material
Quatember A. (2019). Datenqualität in Stichprobenerhebungen. Eine verständnisorientierte Einführung in die Survey-Statistik. Springer Spektrum, Berlin.
