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Barrett, Paula M.; Cooper, Marita; Stallard, Paul; Zeggio, Larissa; Gallegos- Guajardo, Julia – Education and Treatment of Children, 2017
This response aims to critically evaluate the methodology and aims of the meta-analytic review written by Maggin and Johnson (2014). The present authors systematically provide responses for each of the original criticisms and highlight concerns regarding Maggin and Johnson's methodology, while objectively describing the current state of evidence…
Descriptors: Anxiety, Prevention, Program Effectiveness, Program Evaluation
Nye, Elizabeth; Melendez-Torres, G. J.; Bonell, Chris – Review of Education, 2016
Qualitative research is a broad term encompassing many methods. Critiques of the field of qualitative research argue that while individual studies provide rich descriptions and insights, the absence of connections drawn between studies limits their usefulness. In response, qualitative meta-synthesis serves as a design to interpret and synthesise…
Descriptors: Qualitative Research, Meta Analysis, Synthesis, Data Interpretation
Bernard, Robert M. – Canadian Journal of Learning and Technology, 2014
This paper examines sources of potential bias in systematic reviews and meta-analyses which can distort their findings, leading to problems with interpretation and application by practitioners and policymakers. It follows from an article that was published in the "Canadian Journal of Communication" in 1990, "Integrating Research…
Descriptors: Meta Analysis, Statistical Bias, Data Interpretation, Accuracy
Carter, Mark – Behavior Modification, 2013
Overlap-based measures are increasingly applied in the synthesis of single-subject research. This article considers two criticisms of overlap-based metrics, specifically that they do not measure magnitude of effect and do not adequately correspond with visual analysis. It is argued that these criticisms are based on fundamental misconceptions…
Descriptors: Statistical Analysis, Measurement Techniques, Effect Size, Data Interpretation
Heyvaert, Mieke; Hannes, Karin; Maes, Bea; Onghena, Patrick – Journal of Mixed Methods Research, 2013
In several subdomains of the social, behavioral, health, and human sciences, research questions are increasingly answered through mixed methods studies, combining qualitative and quantitative evidence and research elements. Accordingly, the importance of including those primary mixed methods research articles in systematic reviews grows. It is…
Descriptors: Mixed Methods Research, Qualitative Research, Statistical Analysis, Quality Control
Chung, Gregory K. W. K. – Teachers College Record, 2014
Background: Historically, significant advances in scientific understanding have followed advances in measurement and observation. As the resolving power of an instrument increased, so have gains in the understanding of the phenomena being observed. Modern interactive systems are potentially the new "microscopes" when they are…
Descriptors: Online Systems, Data Analysis, Data Collection, Data Interpretation
Lopes, J. Bernardino; Silva, Antonio Alberto; Cravino, Jose P.; Costa, Nilza; Marques, Luis; Campos, Carlos – Journal of Research in Science Teaching, 2008
This study is a meta-interpretative analysis that focuses on research conducted and published by other researchers. Concepts central to this study include global practical relevance, curriculum design, and formative situation. We analyzed 35 studies selected from 374 published studies in the years 2000 and 2001 in three journals referenced in the…
Descriptors: Science Education, Meta Analysis, Data Interpretation, Teacher Education Programs
Kavale, Kenneth A.; LeFever, Gretchen B. – Journal of Educational Research, 2007
The authors critiqued the M. K. Lovelace (2005) meta-analysis of the Dunn and Dunn Model of Learning-Style Preferences (DDMLSP). The conclusion that Lovelace reported in her meta-analysis that learning-style instruction is a beneficial form of instructional delivery is unjustified because of critical conceptual and practical problems. Those…
Descriptors: Cognitive Style, Doctoral Dissertations, Meta Analysis, Teaching Methods
Miller, Ralph R.; Matzel, Louis D. – Learning & Memory, 2006
For at least 40 years, there has been a recurring argument concerning the nature of experimental amnesia, with one side arguing that amnesic treatments interfere with the formation of enduring memories and the other side arguing that these treatments interfere with the expression of memories that were effectively encoded. The argument appears to…
Descriptors: Data Interpretation, Convergent Thinking, Recall (Psychology), Retention (Psychology)

Smith, Nick L. – Evaluation and Program Planning, 1990
A meta-analysis combining expert evaluation with naturalistic case study methods indicates that such investigations must use special methods to render evaluative judgments of worth. It is demonstrated that descriptive, interpretive, and evaluative aspects of such a study must be combined to yield justifiable conclusions. (TJH)
Descriptors: Aboriginal Australians, Case Studies, Data Interpretation, Meta Analysis

Cohen, Peter A. – Journal of Dental Education, 1992
Meta-analysis is proposed as an effective alternative to conventional narrative review for extracting trends from research findings. This type of analysis is explained, advantages over more traditional review techniques are discussed, basic procedures and limitations are outlined, and potential applications in dental education and clinical…
Descriptors: Data Interpretation, Dental Schools, Higher Education, Literature Reviews

Harwell, Michael R.; And Others – Journal of Educational Statistics, 1992
Implications of metanalytic results from Monte Carlo studies of the robustness of the F test in the one- and two-factor fixed effects analysis of variance (ANOVA) models and Monte Carlo results for the B. L. Welch (1947) and Kruskal-Wallis (1952) tests are discussed. (SLD)
Descriptors: Analysis of Variance, Data Interpretation, Mathematical Models, Meta Analysis

Harwell, Michael R. – Journal of Educational Statistics, 1992
A methodological framework is provided for quantitatively integrating Type I error rates and power values for Monte Carlo studies. An example is given using Monte Carlo studies of a test of equality of variances, and the importance of relating metanalytic results to exact statistical theory is emphasized. (SLD)
Descriptors: Computer Simulation, Data Interpretation, Mathematical Models, Meta Analysis
Hall, Leslie D.; Fisher, Clint; Musanti, Sandra; Halquist, Don – TechTrends: Linking Research and Practice to Improve Learning, 2006
The familiar adage states that teachers "teach like they were taught." The lack of technology integration in classroom teaching practices would then indicate that teachers are experiencing little technology integration in their teacher preparation programs. This article identifies many barriers to technology use in teacher education and reports…
Descriptors: Teaching Methods, Educational Technology, Technology Integration, Preservice Teacher Education
Harwell, Michael R. – 1990
Monte Carlo studies of statistical tests are prominently featured in the methodological research literature. Unfortunately, the information from these studies does not appear to have significantly influenced methodological practice in educational and psychological research. One reason is that Monte Carlo studies lack an overarching theory to guide…
Descriptors: Data Collection, Data Interpretation, Educational Research, Mathematical Models
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