How to Analyze the Association between Two Categorical Variables Based on Census Data with a High Level of Nonresponse

被引：0
|
作者：
Terek, Milan [1 ]
Muchova, Eva [2 ]
Lesko, Peter [2 ]
机构：
[1] Sch Management Bratislava, Bratislava, Slovakia
[2] Univ Econ Bratislava, Bratislava, Slovakia
来源：
SCIENTIFIC ANNALS OF ECONOMICS AND BUSINESS | 2023年 / 70卷 / 01期
关键词：
census data; nonresponse; association between two categorical variables; residuals; odds ratio; INFORMATION;
D O I：
10.47743/saeb-2023-0009
中图分类号：
F [经济];
学科分类号：
02 ;
摘要：
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.
引用
收藏
页码：71 / 81
页数：11
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