Survey Methodology
Comments by Jean D. Opsomer, Daifeng Han and Medha UppalaNote 1 on “Trends and directions in sample survey theory and methods”

  • Release date: June 30, 2025
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Abstract

In this discussion, we complement the excellent overview by Profs. Lohr and Rao with some additional topics. The first topic is a call for more recognition of the central role of modeling in survey estimation. The second is a brief discussion of the use of partial frame information in survey design. Finally, we draw the attention to recent increases of synthetic methods, in particular, multilevel regression and poststratification (MRP) in small area estimation applications.

Key Words:    Design-based inference; Model-based inference; Multilevel regression and poststratification (MRP); Sampling design.

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How to cite

Opsomer, J.D., Han, D. and Uppala, M. (2025). Comments on “Trends and directions in sample survey theory and methods”. Survey Methodology, 51(1), 125-130. Paper available at http://www.statcan.gc.ca/pub/12-001-x/2025001/article/00012-eng.pdf.

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ISSN : 1492-0921

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Survey Methodology publishes articles dealing with various aspects of statistical development relevant to a statistical agency, such as design issues in the context of practical constraints, use of different data sources and collection techniques, total survey error, survey evaluation, research in Survey Methodology, time series analysis, seasonal adjustment, demographic studies, data integration, estimation and data analysis methods, and general survey systems development. The emphasis is placed on the development and evaluation of specific methodologies as applied to data collection or the data themselves. All papers will be refereed. However, the authors retain full responsibility for the contents of their papers and opinions expressed are not necessarily those of the Editorial Board or of Statistics Canada.

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© His Majesty the King in Right of Canada, as represented by the Minister of Industry, 2025

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Catalogue No. 12-001-X

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