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ERIC Number: EJ1059772
Record Type: Journal
Publication Date: 2015-Apr
Pages: 10
Abstractor: As Provided
Reference Count: 38
ISSN: EISSN-1531-7714
Your Chi-Square Test Is Statistically Significant: Now What?
Sharpe, Donald
Practical Assessment, Research & Evaluation, v20 n8 Apr 2015
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.
Dr. Lawrence M. Rudner. e-mail:; Web site:
Publication Type: Journal Articles; Reports - Evaluative
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A