2 September 2019
on course website
Advanced Survey Design
This 4-day course in ‘advanced survey design’ takes students beyond the introductory courses offered in BA and MA programmes, and will discuss the state of the art in both the design of surveys, and the analysis of survey data. We explicitly discuss new ways to analyse text data and sensor data generated by modern surveys. Course participants must be proficient in working with a package for statistical software (Stata, SPSS or R). Course materials have been developed in R, but most exercises can be done in SPSS.
This 4-day course in survey design takes students beyond the introductory courses offered in BA and MA programmes, and discusses current issues in one of the most important data collection methods: surveys. Specifically, it focuses on doing surveys in the Internet-era. It will discuss how to collect data in online surveys, using smartphones, and mixing surveys with Big data. It combines short 1-hour lectures with exercises on most of the topics discussed. Course participants must be proficient in working with a package for statistical software (Stata, SPSS or R). Course materials are prepared for working with R, while most of the exercises will also work with SPSS.
The course is interesting for social scientists or statisticians at the PhD level or beyond, working on academic research projects. Two courses are offered in the Utrecht Summer school that slightly overlap with this course: S15 (Survey Research: Design, Implementation and Data Processing) and S16 (Survey Research: Statistical Analysis and Estimation). The current course is however more advanced and more focused on survey research within the academic (university) setting, as well as focused on current issues related to mobile surveys and Big Data.
We expect students to have quite extensive knowledge of survey research (for example by using survey data extensively) and have knowledge of statistics at the MSc level for social scientists (the general linear model). Note that you have to upload a brief motivation letter (up to 300 words) with your application, in which you write a short list of your experience with surveys and statistical analyses. Please include in the motivation letter what software you are proficient in, and what courses related to survey design you have taken. Note that IOPS students do not have to do this.
Note: Participants need to bring a laptop computer to the course, with SPSS or alternatively with R (https://www.r-project.org/) installed
Day 1: Total Survey Error Paradigm. We will discuss the Total Survey Error Framework in the context of ‘designed Big data’ (where surveys are complemented with organic data). The principles of probability sampling designs given different survey modes (simple random, cluster, stratified and multistage sampling). We will discuss sampling from geo-data or digital trace data.
Day 2: Questionnaire design, with specific attention to mixed-mode and mobile-device surveys. We will discuss ways in which questionnaires can be designed to account for respondents accessing them on mobile devices and when extensive information about the sample is available (e.g., through records), or when surveys include the collection of Big data.
Day 3: We will discuss the collection of process data or Paradata (what are they and how to use them). Further, we discuss nonresponse and weighting (both design and nonresponse weights) to correct for biases in surveys
Day 4: Surveys and big data. Working with geo-location data to enrich survey data. Analyzing text data (both manual coding and through machine learning), and other sensor data (pictures)
Dr. Peter Lugtig
If you want to know the current state of the art in survey data and survey data analysis, this is a course for you. This course assumes minimally MSc level knowledge of methods and statistics. In the course SPSS or R will be used extensively, and good knowledge of either of these two software packages is essential.
The course is intended for PhD students, and others at the postgraduate level who wish to know more of survey data and it’s collection in the 21st century.
A maximum of 25 participants will be allowed in this course.
IOPS students will get priority.
The aim of this course is to provide an overview of theory and practice of modern survey design and analysis, in particular focusing on the analysis of new types of data (text, sensor data). This course is useful for more experienced students. After the course, participants are ready to apply the learned towards their own surveys, are able to critically assess existing surveys and survey documentation and analyse survey data themselves successfully
EUR 550: Course feeRegister for this course
on course website