{"title":"Discrete multivariate analysis: an example from the 1871 Canadian census","authors":"M. Ornstein","doi":"10.1080/01615440.1983.10594104","DOIUrl":null,"url":null,"abstract":"An example of the application of modern statistical methods to the analysis of multivariate contingency tables of historical data is presented. The example involves a four-way cross-tabulation of urbanization by province by occupation of head of household by household type using data from individual records from the 1871 census of Canada. An overview of discrete multivariate analysis is first presented before it is applied to the example selected. (ANNOTATION)","PeriodicalId":45535,"journal":{"name":"Historical Methods","volume":null,"pages":null},"PeriodicalIF":1.6000,"publicationDate":"1983-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/01615440.1983.10594104","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Historical Methods","FirstCategoryId":"98","ListUrlMain":"https://doi.org/10.1080/01615440.1983.10594104","RegionNum":2,"RegionCategory":"历史学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"HISTORY","Score":null,"Total":0}
引用次数: 1
Abstract
An example of the application of modern statistical methods to the analysis of multivariate contingency tables of historical data is presented. The example involves a four-way cross-tabulation of urbanization by province by occupation of head of household by household type using data from individual records from the 1871 census of Canada. An overview of discrete multivariate analysis is first presented before it is applied to the example selected. (ANNOTATION)
期刊介绍：
Historical Methodsreaches an international audience of social scientists concerned with historical problems. It explores interdisciplinary approaches to new data sources, new approaches to older questions and material, and practical discussions of computer and statistical methodology, data collection, and sampling procedures. The journal includes the following features: “Evidence Matters” emphasizes how to find, decipher, and analyze evidence whether or not that evidence is meant to be quantified. “Database Developments” announces major new public databases or large alterations in older ones, discusses innovative ways to organize them, and explains new ways of categorizing information.
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