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040 |aCaOODSP|beng|erda|cCaOODSP
043 |an-cn---
0861 |aCS11-522/2024-1-33E-PDF
1001 |aImbrogno, Alexander, |eauthor.
24510|aIncluding non-binary gender in the calibration strategy for the Canadian long-form sample survey weights / |cby Alexander Imbrogno.
2461 |iAt head of title: |aProceedings of Statistics Canada Symposium 2024 : |bthe future of official statistics
264 1|a[Ottawa] : |bStatistics Canada = Statistique Canada, |cSeptember 8, 2025.
300 |a1 online resource (7 unnumbered pages) : |billustrations, graphs.
336 |atext|btxt|2rdacontent
337 |acomputer|bc|2rdamedia
338 |aonline resource|bcr|2rdacarrier
4901 |a[Statistics Canada international symposium series : proceedings], |x1709-8211
500 |aTitle from cover.
500 |aIssued also in French under title: Inclusion du genre non binaire dans la stratégie de calage pour les poids d'enquête de l'échantillon du questionnaire détaillé canadien.
504 |aIncludes bibliographical references.
5203 |a"Aligning with recent needs for increased disaggregated data, in 2021 Canada became the first country to collect and disseminate data on gender diversity in a national census giving Canadians the option to select male, female, or non-binary. Due to their small size, non-binary population counts were not used in the 2021 Census long-form sample calibration procedure due to the risk of increasing the variances of estimates. This paper presents an alternative long-form calibration strategy which allows for small populations, such as the non-binary group, to be incorporated while mitigating methodological concerns. The strategy put forward can incorporate multiple small populations simultaneously while also being flexible enough to fit the calibration systems of other National Statistical Offices (NSOs). The results of a Monte Carlo (MC) simulation are presented showing improved data quality for the non-binary population under the alternative calibration strategy"--Abstract, page [2].
650 0|aGender nonconformity|zCanada|vStatistics.
650 0|aMonte Carlo method.
651 0|aCanada|xCensus, 2021|xMethodology.
655 7|aStatistics|2lcgft
7102 |aStatistics Canada, |eissuing body.
77508|tInclusion du genre non binaire dans la stratégie de calage pour les poids d'enquête de l'échantillon du questionnaire détaillé canadien / |w(CaOODSP)9.966923
830#0|aStatistics Canada international symposium series - proceedings,|x1709-8211|w(CaOODSP)9.505681
85640|qPDF|s582 KB|uhttps://publications.gc.ca/collections/collection_2026/statcan/11-522-x/CS11-522-2024-1-33-eng.pdf