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ERIC Number: ED079352
Record Type: RIE
Publication Date: 1973-May
Pages: 31
Abstractor: N/A
Reference Count: 0
ISBN: N/A
ISSN: N/A
Comparing Regressions When Measurement Error Variances Are Known.
Stroud, T. W. F.
In a multiple (or multivariate) regression model where the predictors are subject to errors of measurement with a known variance-covariance structure, two-sample hypotheses are formulated for (i) equality of regressions on true scores and (ii) equality of residual variance (or covariance matrices) after regression on true scores. The hypotheses are tested using a large-sample procedure based on maximum likelihood estimators. Formulas for the test statistic are presented; these may be avoided in practice by using a general purpose computer program. The procedure has been applied to a comparison of learning in high schools using achievement test data. (Author)
Publication Type: N/A
Education Level: N/A
Audience: N/A
Language: N/A
Sponsor: N/A
Authoring Institution: Educational Testing Service, Princeton, NJ.