ERIC Number: EJ933659
Record Type: Journal
Publication Date: 2009-Mar
Abstractor: As Provided
Reference Count: 17
From Gain Score t to ANCOVA F (and Vice Versa)
Knapp, Thomas R.; Schafer, William D.
Practical Assessment, Research & Evaluation, v14 n6 Mar 2009
Although they test somewhat different hypotheses, analysis of gain scores (or its repeated-measures analog) and analysis of covariance are both common methods that researchers use for pre-post data. The results of the two approaches yield non-comparable outcomes, but since the same generic data are used, it is possible to transform the test statistic of one into that of the other. We derive a formula that can be used to accomplish a conversion between the two and give an example. Such a result could be helpful to meta-analysts, where the outcomes in different research reports may be of either of the two types, yet need to be synthesized. Suggestions for additional research that can improve the usefulness of the formula are offered.
Descriptors: Statistical Analysis, Pretests Posttests, Meta Analysis, Mathematical Formulas, Data Analysis
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