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Kulik, James A. – 1984
Meta-analysis does not solve all the problems encountered in qualitative research reviews, but it holds out some hope for increasing the reliability and dependability of a reviewer's conclusions. Several developments in meta-analysis are cause for optimism. First, different meta-analysts are doing work in the same areas, leading to increased…
Descriptors: Educational Trends, Meta Analysis, Research Methodology, Research Problems
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Kulik, James A. – 1984
Several developments in the use of the new method of meta-analysis give cause for optimism. First, different meta-analysts are doing work in the same areas, leading to increased confidence in meta-analytic results. Second, meta-analysts are beginning to include raw data in their reports, which helps readers pinpoint the exact studies that lead to…
Descriptors: Comparative Analysis, Meta Analysis, Research, Research Methodology
Peer reviewed Peer reviewed
Johnson, Blair T.; Turco, Robin Maria – Communication Monographs, 1992
Recommends that analysts (1) use conventional meta-analytic statistics when testing for moderator variables; (2) perform tests between mean effect sizes; and (3) continue to perform model tests in meta-analyses for which study outcomes are already consistent if they have theoretical expectations about moderators. (RS)
Descriptors: Effect Size, Goodness of Fit, Mathematical Models, Meta Analysis
Peer reviewed Peer reviewed
Bryant, Fred B.; Wortman, Paul M. – New Directions for Program Evaluation, 1984
Methods for selecting relevant and appropriate quasi-experimental studies for inclusion in research synthesis using the threats-to-validity approach are presented. Effects of including and excluding studies are evaluated. (BS)
Descriptors: Evaluation Criteria, Meta Analysis, Quasiexperimental Design, Research Methodology