Split Questionnaire Designs: collecting only the data that you need through MCAR and MAR designs

DOI10.1080/02664763.2017.1375085OpenAlexW2753262083MaRDI QIDQ5036429

James O. Chipperfield, Margo L. Barr, David G. Steel

Publication date: 23 February 2022

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://ro.uow.edu.au/cgi/viewcontent.cgi?article=2997&context=eispapers1

zbMATH Keywords

maximum likelihoodmissing datasample designmulti-matrix samplingsplit questionnaire

Mathematics Subject Classification ID

Applications of statistics (62Pxx)

Related Items (1)

Optimal Integrating Learning for Split Questionnaire Design Type Data

Cites Work

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• Efficiency of split questionnaire surveys
• Aligning Estimates for Common Variables in Two or More Sample Surveys
• Analysis of Survey Data
• Combining Independent Regression Estimators From Multiple Surveys
• Maximum Likelihood Inference from Sample Survey Data

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