{"title":"如何基于高水平无应答的人口普查数据分析两个类别变量之间的关联","authors":"Milan Terek, E. Muchová, P. Leško","doi":"10.47743/saeb-2023-0009","DOIUrl":null,"url":null,"abstract":"Statistical surveys are often used in shaping managerial policy and practice. In this paper we study, how to analyze the association between two categorical variables based on census data with a high level of nonresponse. The purpose is to discuss the suggested approach to the investigation. We used the census data from the survey executed at one Slovak University for testing the new process. The proposed process offers the methods of analysis of the association between two categorical variables based on pseudo-population estimated from the census data with a high level of nonresponse. We recommend using the process in the surveys in which the costs of survey execution by the census are practically not different from sample survey costs, and the connections to all units of the population are available.","PeriodicalId":43189,"journal":{"name":"Scientific Annals of Economics and Business","volume":" ","pages":""},"PeriodicalIF":0.9000,"publicationDate":"2023-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"How to Analyze the Association between Two Categorical Variables Based on Census Data with a High Level of Nonresponse\",\"authors\":\"Milan Terek, E. Muchová, P. Leško\",\"doi\":\"10.47743/saeb-2023-0009\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Statistical surveys are often used in shaping managerial policy and practice. In this paper we study, how to analyze the association between two categorical variables based on census data with a high level of nonresponse. The purpose is to discuss the suggested approach to the investigation. We used the census data from the survey executed at one Slovak University for testing the new process. The proposed process offers the methods of analysis of the association between two categorical variables based on pseudo-population estimated from the census data with a high level of nonresponse. We recommend using the process in the surveys in which the costs of survey execution by the census are practically not different from sample survey costs, and the connections to all units of the population are available.\",\"PeriodicalId\":43189,\"journal\":{\"name\":\"Scientific Annals of Economics and Business\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.9000,\"publicationDate\":\"2023-03-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Scientific Annals of Economics and Business\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.47743/saeb-2023-0009\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Scientific Annals of Economics and Business","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.47743/saeb-2023-0009","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ECONOMICS","Score":null,"Total":0}
How to Analyze the Association between Two Categorical Variables Based on Census Data with a High Level of Nonresponse
Statistical surveys are often used in shaping managerial policy and practice. In this paper we study, how to analyze the association between two categorical variables based on census data with a high level of nonresponse. The purpose is to discuss the suggested approach to the investigation. We used the census data from the survey executed at one Slovak University for testing the new process. The proposed process offers the methods of analysis of the association between two categorical variables based on pseudo-population estimated from the census data with a high level of nonresponse. We recommend using the process in the surveys in which the costs of survey execution by the census are practically not different from sample survey costs, and the connections to all units of the population are available.
期刊介绍：
The Journal called Scientific Annals of Economics and Business (formerly Analele ştiinţifice ale Universităţii "Al.I. Cuza" din Iaşi. Ştiinţe economice / Scientific Annals of the Alexandru Ioan Cuza University of Iasi. Economic Sciences), was first published in 1954. It is published under the care of the Alexandru Ioan Cuza University, the oldest higher education institution in Romania, a place of excellence and innovation in education and research since 1860. Throughout its editorial life, the journal has been continuously improving. Renowned professors, well-known in the country and abroad, have published in this journal. The quality of the published materials is ensured both through their review by external reviewers of the institution and by the editorial staff that includes professors for each area of interest. The journal published papers in the following main sections: Accounting; Finance, Money and Banking; Management, Marketing and Communication; Microeconomics and Macroeconomics; Statistics and Econometrics; The Society of Knowledge and Business Information Systems.
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