Survey Methodology
Author’s response to comments on “Progress in survey science and practice: Yesterday-today-tomorrow”

by Carl-Erik SärndalNote 1

  • Release date: June 30, 2025
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Abstract

This rejoinder is arranged as a series of themes or issues, inspired by the original article, and addressed, to varying degrees, in the six discussions. Among the themes: probability sampling and other paradigms in survey science; the role of the national statistical institutes in the growth of survey science; recent breakthroughs in the use of administrative data in statistics production, with multiple data inputs; the research tradition: a finite population and a well-behaved sample; deepened awareness, in recent decades, of the tradition and its ramifications; the theory track and the role of the academic sector; attempts, over time, at resolving problems; imperfections in the data collection, in the realized sample; nonresponse treatment, responsive design, panel surveys; realpolitik in national statistics production: a realistic approach to meet urgent demands for statistical information.

Key Words:      Administrative data sources; Finite population; National statistical institutes; Paradigms in survey science; Probability sampling paradigm; Representative sample; The academic sector; The research tradition; The theory track; Valid conclusions.

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How to cite

Särndal, C.-E. (2025). Author’s response to comments on “Progress in survey science and practice: Yesterday-today-tomorrow”. Survey Methodology, 51(1), 61-80. Paper available at http://www.statcan.gc.ca/pub/12-001-x/2025001/article/00015-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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