Journal
COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION
Volume 45, Issue 2, Pages 643-659Publisher
TAYLOR & FRANCIS INC
DOI: 10.1080/03610918.2013.868906
Keywords
Binary data; Hosmer-Lemeshow test; Multilevel models; Power; Simulation; Type I error; 62F05
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It is crucial to test the goodness of fit of a model before it is used to make statistical inferences. However, no satisfactory goodness of fit test is available for the case of categorical multilevel data which occur when categorical data are clustered or hierarchical in nature. Hence the aim of this paper is to develop a new goodness of fit test for multilevel binary data based on Hosmer and Lemeshow and Lipsitz et.al. In order to identify the properties of the developed test, simulation studies were carried out to assess the Type I error and the power.
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