This paper addresses the question of how one should follow a statistically significant chi-square test result in order to determine the source of that result. Your Chi-Square Test Is Statistically Significant: Now What?Īpplied researchers have employed chi-square tests for more than one hundred years.
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This article describes in detail what is a chi-square test, on which type of data it is used, the assumptions associated with its application, how to manually calculate it and how to make use of an online calculator for calculating the Chi-square statistics and its associated P-value. Chi-square test and the logic of hypothesis testing were developed by Karl Pearson. More specifically, this statistic can be used to determine whether there is any difference between the study groups in the proportions of the risk factor of interest. The chi-square test statistic can be used to evaluate whether there is an association between the rows and columns in a contingency table. These counts are commonly arranged in a tabular format known as a contingency table. Chi-square test and its application in hypothesis testingĭirectory of Open Access Journals (Sweden)įull Text Available In medical research, there are studies which often collect data on categorical variables that can be summarized as a series of counts.
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