High-quality systematic literature reviews provide a systematic process for identifying, synthesizing, and critiquing multiple studies and, in turn, inform theory, research, practice, and policy. With a focus on special education systematic reviews, we propose four core principles (i.e., coherence, contextualization, generativity, and…

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…

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…

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…

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…

Confidence intervals (CIs) and effect sizes are essential to encourage meta-analytic thinking and to accumulate research findings. CIs provide a range of plausible values for population parameters with a degree of confidence that the parameter is in that particular interval. CIs also give information about how precise the estimates are. Comparison…

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…

The last significant review of research about transformative learning was in 1998 and was mostly focused on unpublished dissertations. In response, this paper reviews an exhaustive body of research conducted since that time, involving 40 studies, published in peer-review journals with a lens of analysis of new findings and insights on…

Knowledge use and production is complex and so also are attempts to judge its quality. Research synthesis is a set of formal processes to determine what is known from research in relation to different research questions and this process requires judgements of the quality and relevance of the research evidence considered. Such judgement can be…

Discussion of the methods of meta-analysis first identifies problems associated with research integration, the limitations of traditional review techniques, and the advantages of quantitative methods. Meta-analytic procedures are described with respect to how they parallel classical scientific method, including problem formulation, sampling,…

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)

Introduction: Evidence-based medicine (EBM) integrates published clinical evidence with patient values and clinical expertise, the output of which is informed medical decision making. Key skills for evidence-based practice include acquisition and appraisal of clinical information. Faculty clinicians often lack expertise in these skills and are…

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)

Differences in science achievement between males and females have been examined either directly or indirectly in a variety of studies. This investigation reviewed a quantitative synthesis of correlational research on science affect, ability, and achievement conducted by Steinkamp and Maehr. Their findings were reassessed by employing a…

The field of environmental education research has been moving away from scientistic and positivistic discourses for some time now ("Environmental Education Research," 2000; Hart & Nolan, 1999). However, it has been noted that the meta-discourse about this research continues to draw on their framings, registers, and lexicons (Hart, 2000;…