A Comparison of Analysis of Covariance to Within-Class Regression in the Analysis of Non-Equivalent Groups.

Baldwin, Lee; And Others

Notes FAQ Contact Us

Back to results

Peer reviewed

ERIC Number: EJ297525

Record Type: Journal

Publication Date: 1984

Pages: N/A

Abstractor: N/A

ISBN: N/A

ISSN: N/A

EISSN: N/A

Available Date: N/A

A Comparison of Analysis of Covariance to Within-Class Regression in the Analysis of Non-Equivalent Groups.

Baldwin, Lee; And Others

Journal of Experimental Education, v52 n2 p68-76 Win 1984

Within-class regression is a method, developed in this paper, of comparing a large number of nonequivalent groups. This study indicated that within-class regression was a less biased method of data analysis and will yield more accurate estimates of treatment effects than analysis of covariance. (PN)

Descriptors: Analysis of Covariance, Data Analysis, Educational Research, Evaluation Methods, Monte Carlo Methods, Reading Achievement, Research Design, Research Methodology, Research Problems, Simulation

Publication Type: Reports - Research; Journal Articles

Education Level: N/A

Audience: N/A

Language: English

Sponsor: N/A

Authoring Institution: N/A

Grant or Contract Numbers: N/A

Author Affiliations: N/A