Factorial Survey Experiments

Katrin Auspurg · Thomas Hinz

839 citations0/0 files storedSage eBooks

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

Survey Methodology and Nonresponse Optimal Experimental Design Methods Survey Sampling and Estimation Techniques

Abstract

1. Introduction 2. Why and When to Use Factorial Survey Methods 3. Setting Up the Experimental Design 4. Setting Up the Survey 5. Data Analyses 6. Further Aspects 7. Concluding Remarks

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 839 citations exist upstream.

Cited by

2020Divided by the Vote: Affective Polarization in the Wake of the Brexit Referendum 2017Why Should Women Get Less? Evidence on the Gender Pay Gap from Multifactorial Survey Experiments 2016Deserving and Undeserving Welfare Claimants in Britain and the Netherlands: Examining the Role of Ethnicity and Migration Status Using a Vignette Experiment 2017A turbine is not only a turbine: The role of social context and fairness characteristics for the local acceptance of wind power 2017Designing Valid and Reliable Vignette Experiments for Survey Research: A Case Study on the Fair Gender Income Gap 2019Willingness to Participate in Passive Mobile Data Collection 2019Electronic monitoring at work: The role of attitudes, functions, and perceived control for the acceptance of tracking technologies 2020Ideology, Not Affect: What Americans Want from Political Representation

Imported from OpenAlex (CC0) — nothing here is generated.