How to Analyze the Association between Two Categorical Variables Based on Census Data with a High Level of Nonresponse
How to Analyze the Association between Two Categorical Variables Based on Census Data with a High Level of Nonresponse
Author(s): Milan Terek, Eva Muchová, Peter LeškoSubject(s): Business Economy / Management, Methodology and research technology, Economic development, Socio-Economic Research
Published by: Editura Universităţii »Alexandru Ioan Cuza« din Iaşi
Keywords: census data; nonresponse; association between two categorical variables; residuals; odds ratio;
Summary/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.
Journal: Scientific Annals of Economics and Business
- Issue Year: 70/2023
- Issue No: 1
- Page Range: 71-81
- Page Count: 11
- Language: English