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230130 SE Sample and questionnaire design (2017W)
How to determine and avoid sampling and measurement errors in surveys
Continuous assessment of course work
Labels
Registration/Deregistration
Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).
- Registration is open from We 16.08.2017 10:00 to Fr 22.09.2017 10:00
- Registration is open from Tu 26.09.2017 10:00 to Fr 29.09.2017 10:00
- Deregistration possible until Fr 20.10.2017 23:59
Details
max. 25 participants
Language: German
Lecturers
Classes (iCal) - next class is marked with N
- Friday 06.10. 15:00 - 18:15 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
- Friday 20.10. 15:00 - 18:15 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
- Friday 10.11. 15:00 - 18:15 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
- Friday 24.11. 15:00 - 18:15 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
- Friday 15.12. 15:00 - 18:15 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Friday 12.01. 15:00 - 18:15 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Friday 26.01. 15:00 - 18:15 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
Information
Aims, contents and method of the course
Assessment and permitted materials
Aktive participation in class (30%),
homework (40%)
presentations (30%)
homework (40%)
presentations (30%)
Minimum requirements and assessment criteria
For a pass mark a minimum of 50% of possible credits is required. No grade is possible when absent for more than 2 units.
Examination topics
Compulsory reading: Groves et al. (2009): Selected Chapters
Presentations: Engel et al. (2015) and similar case studies
Presentations: Engel et al. (2015) and similar case studies
Reading list
Groves, Robert M.; Fowler, F.J.; Couper, Mick; Lepkowski, James; Singer, Eleanor; Tourangeau, Robert (2009). Survey Methodology. New York: Wiley.Engel, Uwe; Jann, Ben; Lynn, Peter; Scherpenzel, Annette; Sturgis, Patrick (2015): Improving Survey Methods. Lessons from Recent Research. New York: Routledge.
Association in the course directory
Last modified: Mo 07.09.2020 15:39
1. Overview on survey errors
2. Learns strategies to control these errors
3. Evaluate different designs and plan own surveys of high quality
Questions:
Which criteria shall be used to evaluate survey data?
How can I draw a survey sample?
What are the pros and cons of different survey modes?
What can I do to ensure response rates?
What is a good questionnaire and how can I test it?Approach:
Starting point is a holistic approach to survey errors (total survey paradigm). Students learn foundations of survey methodology by reading (Groves et al. 2009), doing homework exercises and discussing results in class. Students research practical examples from literature (Engel et al. 2015) and ongoing methodological work at Statistics Austria. Own research problems can be brought to class (advance notice recommended)