Article

Chi-Square Test is Statistically Significant: Now What?

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Abstract

Applied researchers have employed chi-square tests for more than one hundred years. 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. Four approaches were evaluated: calculating residuals, comparing cells, ransacking, and partitioning. Data from two recent journal articles were used to illustrate these approaches. A call is made for greater consideration of foundational techniques such as the chi-square tests. Accessed 74,155 times on https://pareonline.net from April 06, 2015 to December 31, 2019. For downloads from January 1, 2020 forward, please click on the PlumX Metrics link to the right.

Keywords: Statistical Analysis

How to Cite:

Sharpe, D., (2015) “Chi-Square Test is Statistically Significant: Now What?”, Practical Assessment, Research, and Evaluation 20(1): 8. doi: https://doi.org/10.7275/tbfa-x148