The metafor package provides functions for conducting meta-analyses in R. The package includes functions for fitting the meta-analytic fixed- and random-effects models and allows for the inclusion of moderators variables (study-level covariates) in these models. Meta-regression analyses with continuous and categorical moderators can be conducted in this way. Functions for the Mantel-Haenszel and Peto's one-step method for meta-analyses of 2 x 2 table data are also available. Finally, the package provides various plot functions (for example, for forest, funnel, and radial plots) and functions for assessing the model fit, for obtaining case diagnostics, and for tests of publication bias.

Conducting Meta-Analyses in R with the metafor Package

Preface Chapter 1 The challenge Chapter 2 The nature of the evidence: A synthesis of meta-analyses Chapter 3 The argument: Visible teaching and visible learning Chapter 4: The contributions from the student Chapter 5 The contributions from the home Chapter 6 The contributions from the school Chapter 7 The contributions from the teacher Chapter 8 The contributions from the curricula Chapter 9 The contributions from teaching approaches - I Chapter 10 The contributions from teaching approaches - II Chapter 11: Bringing it all together Appendix A: The 800 meta-analyses Appendix B: The meta-analyses by rank order References

Visible Learning: A Synthesis of Over 800 Meta-Analyses Relating to Achievement

The present article presents a meta-analytic test of intergroup contact theory. With 713 independent samples from 515 studies, the meta-analysis finds that intergroup contact typically reduces intergroup prejudice. Multiple tests indicate that this finding appears not to result from either participant selection or publication biases, and the more rigorous studies yield larger mean effects. These contact effects typically generalize to the entire outgroup, and they emerge across a broad range of outgroup targets and contact settings. Similar patterns also emerge for samples with racial or ethnic targets and samples with other targets. This result suggests that contact theory, devised originally for racial and ethnic encounters, can be extended to other groups. A global indicator of Allport's optimal contact conditions demonstrates that contact under these conditions typically leads to even greater reduction in prejudice. Closer examination demonstrates that these conditions are best conceptualized as an interrelated bundle rather than as independent factors. Further, the meta-analytic findings indicate that these conditions are not essential for prejudice reduction. Hence, future work should focus on negative factors that prevent intergroup contact from diminishing prejudice as well as the development of a more comprehensive theory of intergroup contact.

A meta-analytic test of intergroup contact theory.

This article presents findings from a meta-analysis of 213 school-based, universal social and emotional learning (SEL) programs involving 270,034 kindergarten through high school students. Compared to controls, SEL participants demonstrated significantly improved social and emotional skills, attitudes, behavior, and academic performance that reflected an 11-percentile-point gain in achievement. School teaching staff successfully conducted SEL programs. The use of 4 recommended practices for developing skills and the presence of implementation problems moderated program outcomes. The findings add to the growing empirical evidence regarding the positive impact of SEL programs. Policy makers, educators, and the public can contribute to healthy development of children by supporting the incorporation of evidence-based SEL programming into standard educational practice.

http://explorefhp.com/wp-content/uploads/2013/03/Durlak-Weissberg-Child-Development-Meta-Analysis.pdf

The Impact of Enhancing Students’ Social and Emotional Learning: A Meta‐Analysis of School‐Based Universal Interventions

creased by 0.47 SDs under active learning (n = 158 studies), and that the odds ratio for failing was 1.95 under traditional lecturing (n = 67 studies). These results indicate that average examination scores improved by about 6% in active learning sections, and that students in classes with traditional lecturing were 1.5 times more likely to fail than were students in classes with active learning. Heterogeneity analyses indicated that both results hold across the STEM disciplines, that active learning increases scores on concept inventories more than on course examinations, and that active learning appears effective across all class sizes—although the greatest effects are in small (n ≤ 50) classes. Trim and fill analyses and fail-safe n calculations suggest that the results are not due to publication bias. The results also appear robust to variation in the methodological rigor of the included studies, based on the quality of controls over student quality and instructor identity. This is the largest and most comprehensive metaanalysis of undergraduate STEM education published to date. The results raise questions about the continued use of traditional lecturing as a control in research studies, and support active learning as the preferred, empirically validated teaching practice in regular classrooms.

/pdf/active-learning-increases-student-performance-in-science-3j0c6wu4k5.pdf

Active learning increases student performance in science, engineering, and mathematics

Introduction Problem Specification and Study Retrieval Selecting, Computing and Coding the Effect Size Statistic Developing a Coding Scheme and Coding Study Reports Data Management Analysis Issues and Strategies Computational Techniques for Meta-Analysis Data Interpreting and Using Meta-Analysis Results

Practical Meta-Analysis

Conventional reviews of research on the efficacy of psychological, educational, and behavioral treatments often find considerable variation in outcome among studies and, as a consequence, fail to reach firm conclusions about the overall effectiveness of the interventions in question. In contrast meta-analytic reviews show a strong, dramatic pattern of positive overall effects that cannot readily be explained as artifacts of meta-analytic technique or generalized placebo effects. Moreover, the effects are not so small that they can be dismissed as lacking practical or clinical significance. Although meta-analysis has limitations, there are good reasons to believe that its results are more credible than those of conventional reviews and to conclude that well-developed psychological, educational, and behavioral treatment is generally efficacious.

The efficacy of psychological, educational, and behavioral treatment. Confirmation from meta-analysis.

This study examines the features of effective school-based prevention of crime, substance use, dropout/nonattendance, and other conduct problems. It summarizes, using meta-analytic techniques, results from 165 studies of school-based prevention activities that ranged from individual counseling or behavior modification programs through efforts to change the way schools are managed. The results highlight several inadequacies in the existing research for guiding policy and practice, the most notable of which is that many popular school-based prevention approaches have not been well studied to date. The study shows, however, that school-based prevention practices appear to be effective in reducing alcohol and drug use, dropout and nonattendance, and other conduct problems. The size of the average effect for each of the four outcomes was small and there was considerable heterogeneity across studies in the magnitude of effects, even within program type after adjusting for measured method and population differences. Non-cognitive-behavioral counseling, social work, and other therapeutic interventions show consistently negative effects, whereas self-control or social competency promotion instruction that makes use of cognitive-behavioral and behavioral instructional methods show consistently positive effects. Also effective are noninstructional cognitive-behavioral and behavioral methods programs. Environmentally focused interventions appear to be particularly effective for reducing delinquency and drug use.

https://ccjs.umd.edu/sites/ccjs.umd.edu/files/pubs/Wilson%20et%20al%202001.pdf

School-Based Prevention of Problem Behaviors: A Meta-Analysis

Effective intervention for serious juvenile offenders: A synthesis of research.

Court-mandated batterer intervention programs are being implemented throughout the United States to address the problem of domestic violence. Prior reviews of research on the effectiveness of these programs have arrived at conflicting conclusions. This study is a systematic review of the extant research on this topic. Experimental and quasi-experimental studies that used matching or statistical controls were included. The results were mixed. The mean effect for official reports of domestic violence from experimental studies showed modest benefit, whereas the mean effect for victim reported outcomes was zero. Quasi-experimental studies using a no-treatment comparison had inconsistent findings indicating an overall small harmful effect. In contract, quasi-experimental studies using a treatment dropout design showed a large, positive mean effect on domestic violence outcomes. We discuss the weakness of the latter design and raise concerns regarding official reports. The findings, we believe, raise doubts about the effectiveness of court-mandated batterer intervention programs.

David B. Wilson

Papers

Practical Meta-Analysis

The efficacy of psychological, educational, and behavioral treatment. Confirmation from meta-analysis.

School-Based Prevention of Problem Behaviors: A Meta-Analysis

Effective intervention for serious juvenile offenders: A synthesis of research.

A meta-analytic review of court-mandated batterer intervention programs: Can courts affect abusers’ behavior?