期刊名称：SORT-Statistics and Operations Research Transactions
印刷版ISSN：2013-8830
出版年度：2019
卷号：1
期号：1
页码：113-142
DOI：10.2436/20.8080.02.83
出版社：SORT- Statistics and Operations Research Transactions
摘要：Pearson’s chi-square test is widely employed in social and health sciences to analyse categorical data and contingency tables. For the test to be valid, the sample size must be large enough to provide a minimum number of expected elements per category. This paper develops functions for regrouping strata automatically, thus enabling the goodness-of-fit test to be performed within an iterative procedure. The usefulness and performance of these functions is illustrated by means of a simulation study and the application to different datasets. Finally, the iterative use of the functions is applied to the Continuous Sample of Working Lives, a dataset that has been used in a considerable number of studies, especially on labour economics and the Spanish public pension system.
关键词：Goodness-of-fit chi-square test ; statistical software ; Visual Basic for Applications ; Mathematica ; Continuous Sample of Working Lives
