University of Lausanne, IDHEAP on June 4-5th 2020
More details and registration: https://www.unil.ch/idheap/SurveyExperiments
Flavia Fossati and I are organizing an international workshop on “Survey Experiments in Migration and Integration Research” and would like to cordially invite you to contribute a paper to this event, which will be hosted at the University of Lausanne (IDHEAP) on June 4-5th 2020.
This is the third meeting of a series of international workshops previously held in Switzerland at the Universities of Lausanne and Berne that aim at gathering experts on the topic and to have in-depth discussions on their work in progress.
In this edition of the Survey Experiment in Migration and Integration Research, we will have a few different panels that focus on the survey experiment methodology and others that focus more on the immigration and integration research that is carried out by means of such experimental methods.
The event will be accompanied by two keynote speeches, one by Prof. Katrin Auspurg (University of Munich) and Prof. Donald Green (Columbia University).
Please apply by following this link: http://idheap.qualtrics.com/jfe/form/SV_8B2srd4kq2HIyEd
Deadline February 15th 2020.
With the advent of easy internet surveys, some of which quite powerful, survey experiments have experienced a boom. The promise of stronger claims to causality (due to internal validity) may play another role. A particular kind of survey experiments are vignettes: a short description is presented to respondents, followed by a question (or a few). In a vignette experiment, the description is systematically varied (e.g. black woman, white woman), while the question is not (e.g. how like you is this person). Questions of external validity are too often brushed aside, but for someone looking for a short introduction, look no further than the Little Green Book (as usual). It’s an accessible manual/introduction.
To my taste, there is a bit too much about D-efficient designs, but I might be glad one day given how practical the advice is in the respective sections. I was a bit puzzled about how critical the authors are of conjoint analysis, but it turns out that this has more to do with the kind of analysis usually undertaken than the design (conjoint analysis presents information as a table, factorial surveys use vignettes, but there are other terms in use).
Auspurg, Katrin, and Thomas Hinz. 2015. Factorial Survey Experiments. Quantitative Applications in the Social Sciences (QASS) 175. Seven Oaks: SAGE Publications.