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Reza Norouzian; Gavin Bui – Studies in Second Language Acquisition, 2024
Meta-analyses play an instrumental role in informing second language (L2) theory and practice. However, current (i.e., classic) approaches to meta-analysis are limited in their ability to do so because they often fail to capture the complexity inherent in primary studies' research designs. As we argue in this article, when complex L2 studies are…
Descriptors: Meta Analysis, Second Languages, Language Research, Research Design
Rebecca Whittle; Joie Ensor; Miriam Hattle; Paula Dhiman; Gary S. Collins; Richard D. Riley – Research Synthesis Methods, 2024
Collecting data for an individual participant data meta-analysis (IPDMA) project can be time consuming and resource intensive and could still have insufficient power to answer the question of interest. Therefore, researchers should consider the power of their planned IPDMA before collecting IPD. Here we propose a method to estimate the power of a…
Descriptors: Data, Individual Characteristics, Participant Characteristics, Meta Analysis
Laura Peck; Haisheng Yang – Society for Research on Educational Effectiveness, 2024
Background/Context: The reckoning with racial injustice and growing inequality that have become hallmarks of the early 2020s in the United States has implications for impact analysis and the evidence it produced for public policy decision-making. Various researchers have highlighted the shortcomings that impact analyses have when estimating the…
Descriptors: Educational Policy, Policy Formation, Policy Analysis, Equal Education
Bowden, Jack; Holmes, Michael V. – Research Synthesis Methods, 2019
Mendelian randomization (MR) uses genetic variants as instrumental variables to infer whether a risk factor causally affects a health outcome. Meta-analysis has been used historically in MR to combine results from separate epidemiological studies, with each study using a small but select group of genetic variants. In recent years, it has been used…
Descriptors: Meta Analysis, Research Design, Predictor Variables, Genetics
Fingerhut, Joelle; Xunyun, Xu; Moeyaert, Mariola – Grantee Submission, 2021
A variety of measures have been developed to quantify intervention effects for single-case experimental design studies. Within the family of non-overlap indices, the Tau-U measure is one of the most popular indices. There are several Tau-U variants, each one calculated differently. The appropriateness of each Tau-U variant depends upon the data…
Descriptors: Case Studies, Research Design, Research Tools, Decision Making
Curtin, François – Research Synthesis Methods, 2017
Clinical trials have different designs: In late stage drug development, the parallel trial design is the most frequent one; however, the crossover design is not rare; different techniques are used to analyse their results. Although both designs measure the same treatment effect, combining parallel and crossover trials in a meta-analysis is not…
Descriptors: Meta Analysis, Computation, Research Design, Drug Therapy
Wolf, Rebecca; Morrison, Jennifer; Inns, Amanda; Slavin, Robert; Risman, Kelsey – Journal of Research on Educational Effectiveness, 2020
Rigorous evidence of program effectiveness has become increasingly important with the 2015 passage of the Every Student Succeeds Act (ESSA). One question that has not yet been fully explored is whether program evaluations carried out or commissioned by developers produce larger effect sizes than evaluations conducted by independent third parties.…
Descriptors: Program Evaluation, Program Effectiveness, Effect Size, Sample Size
Manolov, Rumen; Guilera, Georgina; Solanas, Antonio – Remedial and Special Education, 2017
The current text comments on three systematic reviews published in the special section "Issues and Advances in the Systematic Review of Single-Case Research: An Update and Exemplars." The commentary is provided in relation to the need to combine the assessment of the methodological quality of the studies included in systematic reviews,…
Descriptors: Research Design, Meta Analysis, Research Methodology, Functional Behavioral Assessment
Mainardes, Jefferson; Tello, César – Education Policy Analysis Archives, 2016
This paper, of theoretical nature, explores the levels of approach and abstraction of research in the field of education policy: description, analysis and understanding. Such categories were developed based on concepts of Bourdieu's theory and on the grounds of epistemological studies focused on education policy and meta-research. This paper…
Descriptors: Educational Policy, Educational Research, Meta Analysis, Epistemology
Abrami, Philip C.; Lysenko, Larysa; Borokhovski, Eugene – Journal of Computer Assisted Learning, 2020
ABRACADABRA (ABRA) is an evidence-based suite of interactive multimedia that engages learners in the development of core reading skills. This meta-analysis presents an update of the research evidence about the effectiveness of ABRA for elementary students. It reports 91 effect sizes in six reading-related outcomes for a sample of 7,388 students.…
Descriptors: Meta Analysis, Evidence Based Practice, Multimedia Instruction, Reading Instruction
Shadish, William R.; Hedges, Larry V.; Horner, Robert H.; Odom, Samuel L. – National Center for Education Research, 2015
The field of education is increasingly committed to adopting evidence-based practices. Although randomized experimental designs provide strong evidence of the causal effects of interventions, they are not always feasible. For example, depending upon the research question, it may be difficult for researchers to find the number of children necessary…
Descriptors: Effect Size, Case Studies, Research Design, Observation
Scrutton, Roger; Beames, Simon – Journal of Experiential Education, 2015
Outdoor adventure education (OAE) has a long history of being credited with the personal and social development (PSD) of its participants. PSD is notoriously difficult to measure quantitatively, yet stakeholders demand statistical evidence that given approaches to eliciting PSD are effective in their methods. Rightly or wrongly, many stakeholders…
Descriptors: Adventure Education, Educational Research, Statistical Analysis, Individual Development
VanHoudnos, Nathan M.; Greenhouse, Joel B. – Journal of Educational and Behavioral Statistics, 2016
When cluster randomized experiments are analyzed as if units were independent, test statistics for treatment effects can be anticonservative. Hedges proposed a correction for such tests by scaling them to control their Type I error rate. This article generalizes the Hedges correction from a posttest-only experimental design to more common designs…
Descriptors: Statistical Analysis, Randomized Controlled Trials, Error of Measurement, Scaling
Lazowski, Rory A.; Hulleman, Chris S. – Review of Educational Research, 2016
This meta-analysis provides an extensive and organized summary of intervention studies in education that are grounded in motivation theory. We identified 74 published and unpublished papers that experimentally manipulated an independent variable and measured an authentic educational outcome within an ecologically valid educational context. Our…
Descriptors: Student Motivation, Intervention, Meta Analysis, Effect Size
Stevenson, Jim; Buitelaar, Jan; Cortese, Samuele; Ferrin, Maite; Konofal, Eric; Lecendreux, Michel; Simonoff, Emily; Wong, Ian C. K.; Sonuga-Barke, Edmund – Journal of Child Psychology and Psychiatry, 2014
Background: The efficacy of three dietary treatments for ADHD has been repeatedly tested in randomized controlled trials (RCTs). These interventions are restricted elimination diets (RED), artificial food colour elimination (AFCE) and supplementation with free fatty acids (SFFA). There have been three systematic reviews and associated…
Descriptors: Dietetics, Attention Deficit Hyperactivity Disorder, Outcomes of Treatment, Literature Reviews