Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 0 |
Since 2016 (last 10 years) | 0 |
Since 2006 (last 20 years) | 5 |
Descriptor
Meta Analysis | 23 |
Statistical Data | 23 |
Research Methodology | 17 |
Effect Size | 6 |
Research Problems | 6 |
Synthesis | 6 |
Motivation | 4 |
Motivation Techniques | 4 |
Reinforcement | 4 |
Rewards | 4 |
Adults | 3 |
More ▼ |
Source
Author
Afkhami, Reza | 1 |
Allison, David B. | 1 |
Barker, Kathleen | 1 |
Basol, Gülsah | 1 |
Bryant, Fred B. | 1 |
Cameron, Judy | 1 |
Chang, Jerry Cha-Jan | 1 |
Dahir, Amanda | 1 |
Deci, Edward L. | 1 |
Demir, Seda | 1 |
Faith, Myles S. | 1 |
More ▼ |
Publication Type
Journal Articles | 23 |
Reports - Evaluative | 11 |
Information Analyses | 8 |
Reports - Research | 8 |
Opinion Papers | 2 |
Reports - Descriptive | 2 |
Education Level
Audience
Researchers | 1 |
Location
Turkey | 1 |
United Kingdom | 1 |
Laws, Policies, & Programs
Assessments and Surveys
Beck Depression Inventory | 1 |
What Works Clearinghouse Rating
Improving Treatment Plan Implementation in Schools: A Meta-Analysis of Single Subject Design Studies
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
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
Hardin, Andrew M.; Chang, Jerry Cha-Jan; Fuller, Mark A.; Torkzadeh, Gholamreza – Educational and Psychological Measurement, 2011
The use of causal indicators to formatively measure latent constructs appears to be on the rise, despite what appears to be a troubling lack of consistency in their application. Scholars in any discipline are responsible not only for advancing theoretical knowledge in their domain of study but also for addressing methodological issues that…
Descriptors: Structural Equation Models, Measurement, Statistical Data, Meta Analysis
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
Purdam, Kingsley; Afkhami, Reza; Olsen, Wendy; Thornton, Patricia – Disability & Society, 2008
In this article we identify the key survey data for examining the issue of equality in the lives of disabled people in the UK. Such data is essential for assessing change in quality of life over time and for the evaluation of the impact of policy initiatives. For each data source we consider definitions, data collection, issue coverage, sample…
Descriptors: Definitions, Quality of Life, Disabilities, National Surveys

Koslowsky, Meni; Sagie, Abraham – Educational and Psychological Measurement, 1992
META-RAND, a Statistical Analysis System macro that generates random values used for calculating correlations in a meta analysis, is described. Output consists of uncorrected and corrected mean and variances of "r" and several measures of the degree of homogeneity or heterogeneity in the data. (SLD)
Descriptors: Computer Software, Correlation, Meta Analysis, Research Methodology

Kraemer, Helena Chmura – Journal of Educational Statistics, 1983
Approximations to the distribution of a common form of effect size are presented. Single sample tests, confidence interval formulation, tests of homogeneity, and pooling procedures are based on these approximations. Caveats are presented concerning statistical procedures as applied to sample effect sizes commonly used in meta-analysis. (Author)
Descriptors: Effect Size, Meta Analysis, Research Methodology, Statistical Data

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

Wachter, Kenneth W. – Science, 1988
Defines meta-analysis as statistical procedures for combining results from previous separate studies. Discusses four charges promoted by some skeptics as it relates to this statistical procedure. States that many of the trends making a place for meta-analysis are disturbing. (RT)
Descriptors: Comparative Analysis, Effect Size, Higher Education, Meta Analysis

Ridgeway, Victoria G.; And Others – Reading Research Quarterly, 1993
Evaluates 98 secondary reading strategy studies for internal and external validity. Addresses experimental design, data collection, and statistical analysis. Discuses specific strengths and weaknesses of the research. Offers suggestions for improvement of intervention research in the areas of design, data collection, and statistical analysis. (RS)
Descriptors: Meta Analysis, Reading Instruction, Reading Research, Reading Strategies

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

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

Kavale, Kenneth A. – Evaluation and the Health Professions, 1995
Explores the nature of meta-analysis by placing it in the context of research synthesis. Methods of meta-analysis are described and compared with other forms of research integration, and findings for several meta-analyses are provided to show advantages of quantitative review methods. (SLD)
Descriptors: Comparative Analysis, Effect Size, Health, Medical Care Evaluation

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

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
Previous Page | Next Page »
Pages: 1 | 2