Bayesian Analysis and Design for Joint Modeling of Two Binary Responses with Misclassification

Autor/inn/en	Stamey, James D.; Beavers, Daniel P.; Sherr, Michael E.
Titel	Bayesian Analysis and Design for Joint Modeling of Two Binary Responses with Misclassification
Quelle	In: Sociological Methods & Research, 46 (2017) 4, S.772-792 (21 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0049-1241
DOI	10.1177/0049124115605340
Schlagwörter	Bayesian Statistics; Classification; Models; Correlation; Sex Education; Simulation; Sample Size; Surveys; Inferences; Diagnostic Tests; Regression (Statistics); Intervals; Gender Differences; Minority Group Students; High School Students; Evaluation Methods; Error of Measurement; Florida (Miami) + Suchen Sie Ihr Suchwort? Classification system; Klassifikation; Klassifikationssystem; Analogiemodell; Korrelation; Sex instruction; Sexualaufklärung; Sexualerziehung; Sexualkunde; Simulation program; Simulationsprogramm; Survey; Umfrage; Befragung; Inference; Inferenz; Diagnostic test; Diagnostischer Test; Regression; Regressionsanalyse; Geschlechterkonflikt; High school; High schools; Student; Students; Oberschule; Schüler; Schülerin; Studentin; Messfehler
Abstract	Survey data are often subject to various types of errors such as misclassification. In this article, we consider a model where interest is simultaneously in two correlated response variables and one is potentially subject to misclassification. A motivating example of a recent study of the impact of a sexual education course for adolescents is considered. A simulation-based sample size determination scheme is applied to illustrate the impact of misclassification on power and bias for the parameters of interest. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01