Survey Design

About

This course has been designed to equip participants with the essential knowledge and skills to effectively plan, design, and conduct their own surveys

Course leader

Julia Partheymüller is a Senior Scientist at the Department of Government at the University of Vienna. Julia possesses extensive experience in survey design, being an integral member of the team of the Austrian National Election Study (AUTNES). She has contributed to various other projects involving large-scale survey data collection, including the Austrian Corona Panel Project (ACPP), Reconciling Europe with its Citizens through Democracy and Rule of Law (RECONNECT), and the German Longitudinal Election Study (GLES). Her research focuses on the nature and origins of public perceptions, attitudes, and behaviours, with a strong emphasis on quantitative methods. She is particularly interested in refining measurement techniques and leveraging the potential of longitudinal and experimental survey designs to enhance causal inference

Target group

Social science researchers

Course aim

This course covers the key stages of the survey research lifecycle. You will start out by tackling fundamental questions of research design that typically precede data collection. Following that, you will be provided with the opportunity to discuss the implications of various sampling methods, including those of probability and non-probability sampling strategies. Subsequently, the focus will shift to addressing various measurement techniques and you will learn how to translate theoretical constructs into survey questions. Moving on, the course delves into the realm of survey experiments that have been a major driver of innovation in many applied fields.

Finally, you will learn how to assess data quality after data collection has been completed and explore best practices for disseminating research findings and sharing survey data

Fee info