Designing Questionnaires in the Age of Al

About

In this course we will introduce participants to the development and testing of survey questions, the evaluation of their measurement quality, and correction for measurement errors.
The first part of this course is dedicated to the many choices and options available, how they are interrelated and how they can affect the quality of the measurement instruments and thus the quality of the survey data. As all decisions can interact with each other, it is difficult to make the right choice to obtain the best formulation for a question. The state of the art will therefore be presented, and the Survey Quality Predictor (SQP) software which helps to make those decisions will be introduced.
In the second part, we focus on questionnaire design in the different modes of data collection as well as the evaluation of measurement quality before data collection (including pretesting) and after data collection. We show the different experimental methods to estimate measurement quality and the additional paradata that can be collected to assess measurement quality after data collection.

Course leader

Wiebke Weber - LMU München, Social Data Science and AI Lab

Target group

Professionals, researchers and students who wish to develop high-quality surveys and employ up-to-date statistical methods for survey and quantitative data analyses. Potential attendees include survey practitioners, marketing professionals, social science students, and researchers.

Fee info

Fee 700 EUR, for professionals