ERIC Number: ED347169
Record Type: RIE
Publication Date: 1992-Jan
Reference Count: N/A
Statistical Significance Testing: Alternatives and Considerations.
Wilkinson, Rebecca L.
Problems inherent in relying solely on statistical significance testing as a means of data interpretation are reviewed. The biggest problem with statistical significance testing is that researchers have used the results of this testing to ascribe importance or meaning to their studies where such meaning often does not exist. Often researchers mistake statistically significant results for important effects. Statistical procedures are too often used as substitutes to thought, rather than as aids to researcher thinking. Alternatives to statistical significance testing that are explored are effect size, statistical power, and confidence intervals. Other considerations for further data analysis that are explored are: (1) measurement reliability; (2) data exploration; and (3) the replicability of research results. It is suggested that statistical significance testing be used only as a guide in interpreting one's results. Two tables present illustrative information, and there is a 22-item list of references. (SLD)
Publication Type: Opinion Papers; Speeches/Meeting Papers
Education Level: N/A
Authoring Institution: N/A
Identifiers: Confidence Intervals (Statistics); Research Replication
Note: Paper presented at the Annual Meeting of the Southwest Educational Research Association (Houston, TX, January 31-February 2, 1992).