ERIC Number: EJ1059772
Record Type: Journal
Publication Date: 2015-Apr
Abstractor: As Provided
Reference Count: 38
Your Chi-Square Test Is Statistically Significant: Now What?
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: firstname.lastname@example.org; Web site: http://pareonline.net
Publication Type: Journal Articles; Reports - Evaluative
Education Level: N/A
Authoring Institution: N/A