Cognitive interviewing
![Cognitive interviewing](/sites/default/files/styles/card_medium/public/2024-04/Cognitive%20interviewing_0.png?h=8abcec71&itok=C960z4Lp)
In this online course, we outline a comprehensive framework for understanding the trade-offs involved in designing and remodelling social surveys. Our framework is rooted in the Total Survey Error and Total Survey Quality approaches, balancing the need to reduce sources of error against the constraints of a project, time and costs. Through real-life examples and case studies, we discuss the advantages and disadvantages of different research designs, with a focus on mixed-mode surveys, and the key steps involved in making informed decisions and remodelling surveys. This course is for anyone involved in the design of survey research and will be particularly relevant for those who are running an existing survey and exploring alternative modes of data collection.
The course covers:
By the end of the course participants will:
Pre-requisites:
Participants need familiarity with the design of survey research, either through coursework or work experience. A basic understanding of quantitative research methods, and survey concepts is expected. No experience with data analysis software is required for this course.
Eva Aizpurua, PhD, is an experienced survey methodologist with a broad range of experience across academia, the private sector, and non-profit organizations. As a Research Director at NatCen, she focuses on developing optimal designs for social surveys undergoing remodelling. Previously, Eva worked as a Research Scientist on the Demography & Survey Science team at Meta. She has also held Research Fellow positions at the European Social Survey Headquarters and Trinity College Dublin, and was a Postdoctoral Scholar at the University of Northern Iowa. Eva currently serves as the Editor-in-Chief for Survey Practice.
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