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Using multilevel cross-classified models to separate area and interviewer effects: how much cross-classification is needed?

Using multilevel cross-classified models to separate area and interviewer effects: how much cross-classification is needed?
Using multilevel cross-classified models to separate area and interviewer effects: how much cross-classification is needed?
University of Southampton
Vassallo, Rebecca
655a8946-fd08-41b2-8c05-ea07172cb965
Durrant, Gabriele B.
14fcc787-2666-46f2-a097-e4b98a210610
Smith, Peter W.F.
961a01a3-bf4c-43ca-9599-5be4fd5d3940
Vassallo, Rebecca
655a8946-fd08-41b2-8c05-ea07172cb965
Durrant, Gabriele B.
14fcc787-2666-46f2-a097-e4b98a210610
Smith, Peter W.F.
961a01a3-bf4c-43ca-9599-5be4fd5d3940

Vassallo, Rebecca, Durrant, Gabriele B. and Smith, Peter W.F. (2014) Using multilevel cross-classified models to separate area and interviewer effects: how much cross-classification is needed? Southampton, GB. University of Southampton

Record type: Monograph (Working Paper)

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Published date: 2014
Organisations: Statistical Sciences Research Institute

Identifiers

Local EPrints ID: 369601
URI: https://eprints.soton.ac.uk/id/eprint/369601
PURE UUID: 93f48c62-1f82-48ce-9ab1-4ae801e2bbdd
ORCID for Peter W.F. Smith: ORCID iD orcid.org/0000-0003-4423-5410

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Date deposited: 02 Oct 2014 15:50
Last modified: 06 Jun 2018 13:11

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Contributors

Author: Rebecca Vassallo

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