A test of homogeneity compares the proportions of responses from two or more populations with regards to a dichotomous variable (e. g., male/female, yes/no) or variable with more than two outcome categories . The chi-square test of homogeneity is the nonparametric test used in a situation where the dependent variable is categorical. Data can be presented using a contingency table in which populations and categories of the variable are the row and column labels. The null hypothesis states that all populations are homogeneous regarding the proportions of categories of categorical variable. If the null hypothesis is rejected, it is concluded that the above proportions are different in the observed populations. The chi-square test of homogeneity statistic is computed in exactly the same manner as chi-square test of independence statistic. The difference between these two tests consists of stating the null hypothesis, the underlying logic, and the sampling procedures.
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© 2008 Springer-Verlag
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(2008). Test of Homogeneity, Chi-Square . In: Kirch, W. (eds) Encyclopedia of Public Health. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-5614-7_3475
Publisher Name: Springer, Dordrecht
Print ISBN: 978-1-4020-5613-0
Online ISBN: 978-1-4020-5614-7