RT Journal Article
T1 Automatic regrouping of strata in the goodness-of-fit chi-square test
A1 Núñez-Antón, Vicente
A1 Pérez Salamero González, Juan Manuel
A1 Regúlez Castillo, Marta
A1 Ventura-Marco, Manuel
A1 Vidal-Meliá, Carlos
AB 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.
PB Institut d'Estadística de Catalunya (Idescat)
SN 2013–8830
YR 2019
FD 2019
LK https://hdl.handle.net/20.500.14352/140.1
UL https://hdl.handle.net/20.500.14352/140.1
LA eng
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NO Ministerio de Economía y Competitividad (MINECO)/FEDER
NO Universidad del País Vasco
DS Docta Complutense
RD 30 abr 2024