Separating interviewer and area effects using a cross-classified multilevel logistic model: implications for survey designs

Cross-classified multilevel models deal with data pertaining to two different non-hierarchical classifications. It is unclear how much interpenetration is needed for a cross-classified multilevel model to work well and to reliably estimate the two higher-level effects. The paper investigates this qu...

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Bibliographic Details
Main Authors: Vassallo, Rebecca (Author), Durrant, Gabriele (Author), Smith, Peter W.F (Author)
Format: Article
Language:English
Published: 2016-06-08.
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