Using prior wave information and paradata: can they help to predict response outcomes and call sequence length in a longitudinal study?
Using prior wave information and paradata: can they help to predict response outcomes and call sequence length in a longitudinal study?
801-833
Durrant, Gabriele
14fcc787-2666-46f2-a097-e4b98a210610
Maslovskaya, Olga
9c979052-e9d7-4400-a657-38f1f9cd74d0
Smith, Peter
961a01a3-bf4c-43ca-9599-5be4fd5d3940
September 2017
Durrant, Gabriele
14fcc787-2666-46f2-a097-e4b98a210610
Maslovskaya, Olga
9c979052-e9d7-4400-a657-38f1f9cd74d0
Smith, Peter
961a01a3-bf4c-43ca-9599-5be4fd5d3940
Durrant, Gabriele, Maslovskaya, Olga and Smith, Peter
(2017)
Using prior wave information and paradata: can they help to predict response outcomes and call sequence length in a longitudinal study?
Journal of Official Statistics, 33 (3), .
(doi:10.1515/jos-2017-0037).
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Durrant et al_eprints
- Accepted Manuscript
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[Journal of Official Statistics] Using Prior Wave Information and Paradata Can They Help to Predict Response Outcomes and Call Sequence Length in a Longitudinal Study
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Accepted/In Press date: 2 June 2017
e-pub ahead of print date: 9 September 2017
Published date: September 2017
Organisations:
Social Statistics & Demography, Centre for Population Change
Identifiers
Local EPrints ID: 411891
URI: http://eprints.soton.ac.uk/id/eprint/411891
ISSN: 0282-423X
PURE UUID: 2b617a88-b859-4a4e-8689-d9fe7e7fd7e3
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Date deposited: 28 Jun 2017 16:31
Last modified: 18 May 2024 04:01
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