
SummaryThe paper investigates two different multilevel approaches, the multilevel cross-classified and the multiple-membership models, for the analysis of interviewer effects on wave non-response in longitudinal surveys. The models proposed incorporate both interviewer and area effects to account for the non-hierarchical structure, the influence of potentially more than one interviewer across waves and possible confounding of area and interviewer effects arising from the non-random allocation of interviewers across areas. The methods are compared by using a data set: the UK Family and Children Survey.
Area effect, Cross-classified models, Interviewer effects, 330, multiple-membership models, Original Articles, Applications of statistics, 300, area effects, cross-classified models, interviewer effects, Family and Children Study, Multiple-membership models, family and children study
Area effect, Cross-classified models, Interviewer effects, 330, multiple-membership models, Original Articles, Applications of statistics, 300, area effects, cross-classified models, interviewer effects, Family and Children Study, Multiple-membership models, family and children study
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