Course 4: Introduction to Survey Design
Prof. Dr. Bella Struminskaya, Dr. Ulrich Krieger
Date: 10.08 - 14.08.2020
Location: Online via Zoom
[This is a 30 hour class.]
This course gives an overview of the design and implementation of surveys from the initial planning phase to the data preparation as a final step. Topics include survey mode assessment and selection, sampling frames and designs, nonresponse, questionnaire design, cognitive pretesting, assessing measurement errors and data editing. The course is taught from a Total Survey Error perspective weighing data quality at each step of the process against associated costs.
The course is taught through formal lectures in which the theoretical foundation in the literature is discussed, less formal presentations and discussions of survey design in existing survey research, as well as personal tutorial meetings that give participants the opportunity to discuss exercises and their own survey designs. Each day we will discuss a specific topic that each focuses on one or more aspects of survey design within the Total Survey Error framework. First, the choice of the survey mode is discussed, and how different ways to sample respondents follow from that choice. On the second day, we focus on the issue of survey nonresponse - how to prevent, analyze, and correct for it. On the third and fourth day, the actual survey content is discussed - how to write survey questions, make sure that they measure what they are intended to measure, test them, and finally, how to assess whether survey data are of good quality. On the final day, we focus on data coding and maximizing quality. We conclude with an overview perspective of all survey errors and their interaction with survey costs.
The course will be applicable to surveys of individuals, households, and organizations in different survey modes: mail, face-to-face, web, and paper-and-pencil surveys.
A detailed syllabus for this course is available for download here.
Participants will find the course useful if they:
The course is tailored to those relatively new to the area of survey methodology possibly planning to later follow more advanced and specialized courses at the GESIS Summer School. The course does not provide an introduction into data analysis of survey data. Rather, it is focused on the design of surveys.
By the end of the course participants will:
Organizational Structure of the Course
This is a five-day course with a total amount of 30 hours of virtual class time. Participants can expect a mix of interactive teaching and exercises.