Literaturnachweis - Detailanzeige
| Autor/inn/en | Kammeyer-Mueller, John; Steel, Piers D. G.; Rubenstein, Alex |
|---|---|
| Titel | The Other Side of Method Bias: The Perils of Distinct Source Research Designs |
| Quelle | In: Multivariate Behavioral Research, 45 (2010) 2, S.294-321 (28 Seiten)
PDF als Volltext |
| Sprache | englisch |
| Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
| ISSN | 0027-3171 |
| Schlagwörter | Statistical Bias; Predictor Variables; Measurement; Data Collection; Data Analysis; Models; Computation; Effect Size; Simulation; Generalizability Theory |
| Abstract | Common source bias has been the focus of much attention. To minimize the problem, researchers have sometimes been advised to take measurements of predictors from one observer and measurements of outcomes from another observer or to use separate occasions of measurement. We propose that these efforts to eliminate biases due to common source variance create serious problems. To demonstrate the problems of using what we term the "distinct sources" measurement design, we provide an integrative review of the literature regarding both contamination and deficiency of measures. Building on this theme, the article uses simulated data to demonstrate how using data from distinct observers or occasions of measurement can distort estimates of predictor importance at least as much as common source variance. Alternative multisource designs are advocated and examined for tractability by simulating various numbers of observations and sources in the research design. (Contains 1 figure, 4 tables and 2 footnotes.) (As Provided). |
| Anmerkungen | Psychology Press. Available from: Taylor & Francis, Ltd. 325 Chestnut Street Suite 800, Philadelphia, PA 19106. Tel: 800-354-1420; Fax: 215-625-2940; Web site: http://www.tandf.co.uk/journals |
| Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
| Update | 2017/4/10 |
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