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

Autor/inn/en	Baldwin, Lee; Medley, Donald M.
Titel	A Comparison of Analysis of Covariance to Within-Class Regression in the Analysis of Non-Equivalent Groups.
Quelle	(1982), (36 Seiten)Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; Monographie
Schlagwörter	Analysis of Covariance; Hypothesis Testing; Matched Groups; Monte Carlo Methods; Quasiexperimental Design; Reading Achievement; Regression (Statistics); Research Design; Statistical Analysis; Statistical Significance; Statistical Studies + Suchen Sie Ihr Suchwort? Hypothesenprüfung; Hypothesentest; Monte-Carlo-Methode; Leseleistung; Regression; Regressionsanalyse; Forschungsdesign; Statistische Analyse
Abstract	The purpose of this study was to compare the results of an analysis of covariance design to a method developed by the authors called within-class regression. Application of this statistical method can be to any quasiexperimental design with a large number of groups. A test of statistical significance to use with the within-class regression procedure was also developed using an analysis of variance model to estimate between- and within-groups components of variance. The two methods were compared using Monte Carlo data and reading achievement data. Achievement Development Scale scores from the California Achievement Tests were collected in grades two through six in May of 1978 and 1979. The results of the analysis under various conditions indicated that within-class regression is a less biased method of analysis, and that different conclusions concerning treatment effects may be reached depending on the method of analysis used. (Author/PN)
Erfasst von	ERIC (Education Resources Information Center), Washington, DC