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Noell, George H.; Gansle, Kristin A.; Mevers, Joanna Lomas; Knox, R. Maria; Mintz, Joslyn Cynkus; Dahir, Amanda – Journal of Behavioral Education, 2014
Twenty-nine peer-reviewed journal articles that analyzed intervention implementation in schools using single-case experimental designs were meta-analyzed. These studies reported 171 separate data paths and provided 3,991 data points. The meta-analysis was accomplished by fitting data extracted from graphs in mixed linear growth models. This…
Descriptors: Meta Analysis, Peer Evaluation, Journal Articles, Intervention
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Demir, Seda; Basol, Gülsah – Educational Sciences: Theory and Practice, 2014
The aim of the current study is to determine the overall effects of Computer-Assisted Mathematics Education (CAME) on academic achievement. After an extensive review of the literature, studies using Turkish samples and observing the effects of Computer-Assisted Education (CAE) on mathematics achievement were examined. As a result of this…
Descriptors: Mathematics Education, Computer Assisted Instruction, Academic Achievement, Meta Analysis
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Holden, Gary; Barker, Kathleen; Rosenberg, Gary; Kuppens, Sofie; Ferrell, Laura W. – Research on Social Work Practice, 2011
Objective: Many professions use some form of internship in professional education. Social work has utilized field instruction throughout much of its history. Recently, the Council on Social Work Education (CSWE) designated field instruction as social work's signature pedagogy. A systematic review was undertaken to examine evidence related to this…
Descriptors: Field Instruction, Research Universities, Research Libraries, Social Work
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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Kohn, Alfie – Review of Educational Research, 1996
The meta-analysis of J. Cameron and W. D. Pierce (1994), which purports to demonstrate that extrinsic rewards may not undermine intrinsic motivation, is unpersuasive by virtue of its methodologies, its tendency to ignore important distinctions, and its failure to include certain evidence. (Author/SLD)
Descriptors: Meta Analysis, Motivation, Motivation Techniques, Reinforcement
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Lepper, Mark R.; And Others – Review of Educational Research, 1996
Provides a critical analysis of the meta-analysis of J. Cameron and W. D. Pierce (1994) of the experimental literature on the effects of extrinsic rewards on intrinsic motivation. Their overly simplistic conclusion has little theoretical or practical value and results from misuse of meta-analytic procedures. (SLD)
Descriptors: Meta Analysis, Motivation, Motivation Techniques, Reinforcement
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Cameron, Judy; Pierce, W. David – Review of Educational Research, 1996
The results of a meta-analysis that found that rewards do not threaten intrinsic motivation have not been well accepted by those who argue rewards produce negative effects under a wide range of conditions. Nevertheless, the results and conclusions of the meta-analysis are held to be valid. (SLD)
Descriptors: Meta Analysis, Models, Motivation, Motivation Techniques
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Ryan, Richard M.; Deci, Edward L. – Review of Educational Research, 1996
The conclusion of J. Cameron and W. D. Pierce that rewards do not pose a threat to intrinsic motivation (1994) is a misrepresentation of the literature based on a flawed meta-analysis. Their analysis is more an attempt to defend behaviorist turf rather than meaningful consideration of relevant data and issues. (Author/SLD)
Descriptors: Behaviorism, Meta Analysis, Models, Motivation
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Hedges, Larry V. – Journal of Educational Statistics, 1992
The use of statistical methods to combine the results of independent empirical research studies (metanalysis) has a long history, with work mainly divided into tests of the statistical significance of combined results and methods for combining estimates across studies. Methods of metanalysis and their applications are reviewed. (SLD)
Descriptors: Chi Square, Educational Research, Effect Size, Estimation (Mathematics)