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Post Hoc Pair-Wise Comparisons for the Chi-Square Test of Homogeneity of Proportions

Bibliographic Data

ID20282833
AuthorsMyron K Cox (Wright State University), Coretta H Key (Wright State University)
Year1993
Volume53
Issue4
Pages951-962
Publication date1993-12-01
Open AccessYes
TypeARTICLE
VenueEducational and Psychological Measurement (JOURNAL)
Journal identifiersISSN: 0013-1644 • E-ISSN: 1552-3888
PublisherSAGE Publications (PUBLISHER • US)
DOI10.1177/0013164493053004008
OpenAlexW2126290570
LanguageEN
Citations received11
References cited13

This article presents a model for multiple pair-wise comparisons of selected categories (cells) of a contingency table after the chi-square test has rejected the null hypothesis of equality of population proportions. The model will determine which, if any, pair-wise proportions among the multiple cross-classifications have led to the rejection. The model is developed by considering the relationship between the chi-square distribution and a particular standardized normal

Chi-square test · Contingency table · Data mining · Econometrics · Homogeneity (statistics) · Null (SQL) · Null distribution · Null hypothesis · Pearson's chi-squared test · Population · Square (algebra) · Statistical hypothesis testing · Statistics · Test statistic · Advanced Statistical Methods and Models · Computer Science · Demography · Mathematics · Statistical Methods and Bayesian Inference · Statistical Methods and Inference

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Citations per year0.37
Citation span1996 - 2024 (29)
Highly citedNo

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