Compound Bias Due to Measurement Error When Comparing Regression Coefficients

Autor/in	Murrah, William M.
Titel	Compound Bias Due to Measurement Error When Comparing Regression Coefficients
Quelle	In: Educational and Psychological Measurement, 80 (2020) 3, S.548-577 (30 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Murrah, William M.)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0013-1644
DOI	10.1177/0013164419874494
Schlagwörter	Error of Measurement; Statistical Bias; Multiple Regression Analysis; Predictor Variables; Comparative Analysis + Suchen Sie Ihr Suchwort? Messfehler; Prädiktor
Abstract	Multiple regression is often used to compare the importance of two or more predictors. When the predictors being compared are measured with error, the estimated coefficients can be biased and Type I error rates can be inflated. This study explores the impact of measurement error on comparing predictors when one is measured with error, followed by a simulation study to help quantify the bias and Type I error rates for common research situations. Two methods used to adjust for measurement error are demonstrated using a real data example. This study adds to the literature documenting the impact of measurement error on regression modeling, identifying issues particular to the use of multiple regression for comparing predictors, and offers recommendations for researchers conducting such studies. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01