Author
Abstract
For longitudinal surveys, there is little discussion on how call record data are able to account for household nonresponse. This paper uses call records as well as observed data from Understanding Society’s Wave 1 to model Wave 2, Wave 3 and Wave 4 household contact and cooperation propensities. Multi-level logistic models are used to account for the nested structure of the data (households within interviewers). Results indicate that households which repeated unproductive contacts, broke appointments, registered above median proportion of "no replies", or began the call sequence with an unproductive contact in Wave 1 are at risk of future nonresponse.