Methodological and Measurement Innovations in Longitudinal Panel Research

Strong evidence on ageing depends on surveys that adapt to social and technological change. We develop new approaches to data collection, coding and validation. Examples include machine learning for occupation coding, automated scoring of cognitive tests and improved ways to ask sensitive questions. These efforts keep longitudinal surveys reliable, comparable and representative.

Survey participation and retention 

Education bias in probability-based surveys 

Interviewer continuity and effects 

Proxy respondents and data quality 

Qualitative pretesting and item development 

Machine learning for automatic scoring of cognitive tests 

Contact strategies (respondent driven contacting, extra surveys) 

Measurement effects in cognitive testing 

Polygenic indices and genetic data 

Sexual orientation and gender identity inclusion in surveys 

Publication bias