Detecting and correcting publication bias in meta-analysis

dc.contributor.advisorBorich, Gary D.en
dc.contributor.advisorBeretvas, Susan Natashaen
dc.creatorLi, Xinen
dc.date.accessioned2010-09-22T18:04:25Zen
dc.date.available2010-09-22T18:04:25Zen
dc.date.available2010-09-22T18:04:31Zen
dc.date.issued2009-12en
dc.date.submittedDecember 2009en
dc.date.updated2010-09-22T18:04:31Zen
dc.descriptiontexten
dc.description.abstractPublication bias (PB) makes the resources for meta-analysis (M-A) unreliable in the sense of completion and accuracy, so to investigate, identify and correct PB is a very important issue in M-A. The current study proposed an empirical comparison in both detection and correcting PB, using a Monte Carlo study. Conditions to be manipulated include the number of primary studies, number of missing studies and true effect size. RANNOR in SAS will be used to generate normally distributed random variables and, for each condition, 10,000 M-As will be simulated. Type I error rates are to be calculated for the conditions with no PB and powers were estimated for the conditions with PB and adequate type I error control. Finally, a demonstration of how M-A can and should be used as a part of program evaluations was given.en
dc.description.departmentEducational Psychology
dc.format.mimetypeapplication/pdfen
dc.identifier.urihttp://hdl.handle.net/2152/ETD-UT-2009-12-536en
dc.language.isoengen
dc.subjectPublication biasen
dc.subjectMeta-analysisen
dc.subjectProgram evaluationen
dc.titleDetecting and correcting publication bias in meta-analysisen
dc.type.genrethesisen
thesis.degree.departmentEducational Psychologyen
thesis.degree.disciplineEducational Psychologyen
thesis.degree.grantorThe University of Texas at Austinen
thesis.degree.levelMastersen
thesis.degree.nameMaster of Artsen

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