survey methodology , family surveys , data quality
Abstract:
Surveys are essential tools for gathering evidence-based information in empirical family research and the social sciences. Methodological challenges can arise during a survey when changes in design and fieldwork procedures become necessary. Such changes may compromise the accurate representation and measurement of target groups and constructs. This dissertation examines the impact of methodological changes on data quality in family surveys and explores how the survey topic—family and partnership life—affects participation and response behavior, resulting in systematic nonresponse and measurement errors. The research focuses on three design elements commonly used in family surveys: longitudinal design, a multi-actor approach, and the collection of sensitive information. This work offers valuable insights and implications for conducting and analyzing survey data beyond family studies, particularly those that collect panel, multi-actor, and sensitive data.
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