Methodological Questions when using the Scottish Census of 2022
Bibliographic Data
| ID | 6451102 |
|---|---|
| Authors | Lindsay Paterson (0000-0002-2745-3531, Lindsay Paterson is Professor Emeritus of Education Policy, School of Social and Political Science, Edinburgh University., corresponding author) |
| Year | 2025 |
| Volume | 34 |
| Issue | 2 |
| Pages | 222-245 |
| Publication date | 2025-05-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Scottish Affairs (JOURNAL) |
| Journal identifiers | ISSN: 0966-0356 • E-ISSN: 2053-888X |
| Publisher | Edinburgh University Press (PUBLISHER • GB) |
| DOI | 10.3366/scot.2025.0547 |
| OpenAlex | W4410300556 |
| Language | EN |
| References cited | 2 |
Like all modern censuses, the Scottish population census of 2022 was more than merely an enumeration of people who responded to the census questionnaire. Statistical weighting, adjustment, and imputation were a core part of the work. These techniques were especially important in compensating for the relatively disappointing response rate. The National Records of Scotland, which manages the census, have addressed these problems skilfully and imaginatively, but problems of interpretation remain. The paper outlines the statistical methods that the census managers have used, explains what these methods can do and also some of their limitations, and suggests further information that would be helpful to the analysis of the census data
Census · Demographic economics · Economics · Geography · Political science · Population · Regional science · Sociology · demographic modeling and climate adaptation · Demography · Health disparities and outcomes
| Citation velocity | historical |
|---|---|
| Highly cited | No |