Microcredential komex Survey Experiments
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Survey experiments are well-suited for many research questions which point to individual attitudes and choices. Set up properly, they provide powerful methods for all social sciences.
What Is This Course About?
Over the last decades, survey experiments have gained enormous interest among social scientists. Set up properly, survey experiments allow causal conclusions even if respondents stem from a convenience sample. The course will cover several types of survey experiments as information treatments, conjoint analysis, and choice experiments. A specific focus will be on factorial survey analysis (“vignette analysis”), a method that integrates multi-factorial experimental set-ups into surveys. Respondents are asked to evaluate fictitious situations, objects or persons. By Participants may select a research question related to their own research for practical exercises. Most practical analyses will be done in R.
Learning Goals
Participants will get practical insights into all single steps necessary to design factorial survey experiments:
- overview on different types of survey experiments
- selection of an experimental design,
- construction of vignettes,
- drafting and programming of questionnaires (for online surveys),
- data management,
- data analysis techniques (such as multilevel analyses).
Recommended Readings for the Course
- Wallander, L. (2009): 25 years of factorial surveys in sociology: a review. In: Social Science Research 38: 505-520.
- Hox, J.J./Kreft, I.G.G./Hermkens, P.L.J. (1991): The Analysis of Factorial Surveys. Sociological Methods & Research 19: 493-510.
- Sauer, C./Auspurg, K./Hinz, Th./Liebig, S. (2011): The Application of Factorial Surveys in General Population Samples: The Effects of Respondent Age and Education on Response Times and Response Consistency. Survey Research Methods 5: 89-102.
Assignments for the Course
- Participants develop an own survey experiment from the scratch. Targeted assignments support this process.
- Important practical steps are discussed in the afternoon sessions.
Schedule
- Day 1
Teaching: Introduction to the idea and approach of survey experiments, different types of survey experiments.
Exercises: Brief introduction to the syntax and workflow in R, issues of management - Day 2
Teaching: Focus on factorial survey designs, selection of dimensions and levels, construction of vignettes, vignette sampling techniques: random and fractional designs.
Exercises: Developing of an own survey experiment. - Day 3
Teaching: Construction of questionnaires (PAPI and CASI) and data preparation. Response scales and survey modes.
Exercises: Programming of the survey using the freeware LimeSurvey - Day 4
Teaching: Analysis of survey experiments: cluster-robust regressions, multi-level analysis.
Exercises: Examples of simple and more advanced techniques of analysis. - Day 5
Teaching: Methodological research on survey experiments: learning effects, fatigue effects, order effects.
Exercises: Finalizing the experimental setup.
Who Are Your Instructors?
Thomas Hinz is professor of sociology with focus on survey methodology at the University of Konstanz. Over his career, he worked with many factorial survey studies and published methodological and substantive papers using them.
Konstantin Mozer works as scientific administrator in the surveyLab of the University of Konstanz. He focuses on implementing survey experiments in online surveys.
Partner - komex
