Lecturers: prof. Katja Lozar Manfreda, Nejc Berzelak
The course aims to offer participants general basic knowledge needed for implementation of high-quality web surveys. The course deals with the challenge of using the World Wide Web for survey data collection. Web surveys are technically easy to implement, however the understanding of underlying methodological principles is crucial for successful application in practice. Throughout the course, participants will learn the basics of these principles for all stages of the web survey process: pre-fielding (choosing the mode, sampling design, questionnaire preparation and testing, managerial aspects), fielding (nonresponse reduction, measurement, monitoring), and post-fielding (editing, archiving). Throughout the course, we will put a special emphasis on error sources that can compromise the quality of web survey data. Participants will also be introduced to 1KA (http://english.1ka.si), a free open-source software, for implementing web surveys. They are encouraged to bring their own web survey projects to the class.
Lecturer: Mario Callegaro
The course will focus on conducting high quality web surveys by discussing the key methodological issues when pre-fielding, fielding, and post-fielding a web survey. The participants will be guided at each of these three steps by evidence-based research that will help them to make the best decisions in terms of survey quality. New challenging issues such as multiple device surveys will be discussed as well.
- Callegaro, Lozar Manfreda, Vehovar (2015): Web Survey Methodology. London: Sage
- COST action WEBDATANET
- Web Surveys for the General Population: a NCRM network
- Top blogs in WebSM database
- Standard Definitions
- AAPOR Warren J. Mitofski Innovators Award 2009 for WebSM site
- Free Web tools for researchers and students
- Courses on web survey methodology
- Comparisons of nonprobability online panels (access panels)
- Probability based panels