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Sean McGrath; XiaoFei Zhao; Omer Ozturk; Stephan Katzenschlager; Russell Steele; Andrea Benedetti – Research Synthesis Methods, 2024
When performing an aggregate data meta-analysis of a continuous outcome, researchers often come across primary studies that report the sample median of the outcome. However, standard meta-analytic methods typically cannot be directly applied in this setting. In recent years, there has been substantial development in statistical methods to…
Descriptors: Statistical Analysis, Meta Analysis, Data Analysis, Sampling
Harrison, Robert L.; Reilly, Timothy M.; Creswell, John W. – Journal of Mixed Methods Research, 2020
As mixed methods continues to grow as a discipline, work to define what constitutes quality mixed methods research has become an emergent conversation. While progress has been made in this area, there has been some debate as to what quality entails and how to achieve it. This article contributes to mixed methods by highlighting the importance of…
Descriptors: Mixed Methods Research, Difficulty Level, Definitions, Best Practices
de Jong, Valentijn M. T.; Moons, Karel G. M.; Riley, Richard D.; Tudur Smith, Catrin; Marson, Anthony G.; Eijkemans, Marinus J. C.; Debray, Thomas P. A. – Research Synthesis Methods, 2020
Many randomized trials evaluate an intervention effect on time-to-event outcomes. Individual participant data (IPD) from such trials can be obtained and combined in a so-called IPD meta-analysis (IPD-MA), to summarize the overall intervention effect. We performed a narrative literature review to provide an overview of methods for conducting an…
Descriptors: Meta Analysis, Intervention, Randomized Controlled Trials, Guidelines
Buchner, Josef; Buntins, Katja; Kerres, Michael – Journal of Computer Assisted Learning, 2022
Background: Previous studies on augmented reality-enriched learning and training indicated conflicting results regarding the cognitive load involved: some authors report that AR can reduce cognitive load, others have shown that AR is perceived as cognitively demanding and can lead to poorer performance. Objectives: The aim of this study is to…
Descriptors: Computer Simulation, Educational Technology, Technology Uses in Education, Difficulty Level
Denton, Maya; Borrego, Maura; Boklage, Audrey – Journal of Engineering Education, 2020
Background: One emerging approach to diversity and inclusion in engineering is to take an assets-based view of what students from nondominant communities bring to their education and work experiences. Purpose/Hypothesis: The purpose of this review is to understand how community cultural wealth (CCW), an assets-based framework, has been applied in…
Descriptors: Cultural Capital, STEM Education, Social Capital, College Students
Cobb, Casey D. – Review of Research in Education, 2020
A robust body of geographic education policy research has been amassing over the past 25 years, as researchers from a variety of disciplinary backgrounds have recognized the value of examining education phenomena from a spatial perspective. In this chapter, I synthesize 42 studies that examine education issues using a geographic information…
Descriptors: Geographic Information Systems, Spatial Ability, Equal Education, Access to Education
Berssanette, Joao Henrique; de Francisco, Antonio Carlos – IEEE Transactions on Education, 2022
Contribution: This article features a systematic literature review with the objective of presenting a study that reflects the current scenario of research on the cognitive load theory (CLT) in the domain of teaching and learning computer programming. Background: Computer programming is a highly cognitive skill, requiring mastering multiple…
Descriptors: Cognitive Ability, Programming, Computer Science Education, Mastery Learning
Cabbar, Burcu Güngör; Senel, Hakan – Journal of Educational Issues, 2020
Even if the topics are abstract in biology education, they are very suitable for association to daily life. The context-based learning approach is one of the approaches that is student-centered and provides a connection between daily life and scientific knowledge. Research has determined that the context-based learning approach increases the…
Descriptors: Content Analysis, Biology, Science Instruction, Age Differences
Seo, Jaekyo; Lee, Suhyung; Ardichvili, Alexandre – European Journal of Training and Development, 2021
Purpose: Human resource development (HRD) as an applied discipline is an example of a scholarly field that has emerged through the collaboration of scholars and practitioners with backgrounds in various foundational disciplines. This study interested in both the influence of other disciplines on HRD research and in HRD's influence on other…
Descriptors: Labor Force Development, Human Resources, Citation Analysis, Content Analysis
Olvera-Fernández, Javier; Montes-Rodríguez, Ramón; Ocaña-Fernández, Almudena – International Journal of Music Education, 2023
This paper presents a Systematic Literature Review (SLR) about pedagogical innovation and disruption in music education. A rigorous SLR process was applied to the selection of papers related to innovative practices in music education at different educational levels and in a range of contexts. Although there are similar studies on innovation in…
Descriptors: Music Education, Educational Innovation, Educational Research, Literature Reviews
Brown, Alan V.; Plonsky, Luke; Teimouri, Yasser – Foreign Language Annals, 2018
Much of applied linguistics research has been concerned with classroom-based second language (L2) development as it offers an ideal setting for examining the institutional ecology of L2 learning and teaching. However, scholars have continued to call for greater attention to the operationalization of constructs, selection of valid assessments, and…
Descriptors: Grades (Scholastic), Second Language Learning, Second Language Instruction, Language Tests
Domínguez Islas, Clara; Rice, Kenneth M. – Research Synthesis Methods, 2022
Bayesian methods seem a natural choice for combining sources of evidence in meta-analyses. However, in practice, their sensitivity to the choice of prior distribution is much less attractive, particularly for parameters describing heterogeneity. A recent non-Bayesian approach to fixed-effects meta-analysis provides novel ways to think about…
Descriptors: Bayesian Statistics, Evidence, Meta Analysis, Statistical Inference
Plonsky, Luke; Gonulal, Talip – Language Learning, 2015
Research synthesis and meta-analysis provide a pathway to bring together findings in a given domain with greater systematicity, objectivity, and transparency than traditional reviews. The same techniques and corresponding benefits can be and have been applied to examine methodological practices in second language (L2) research (e.g., Plonsky,…
Descriptors: Meta Analysis, Second Language Learning, Language Research, Research Methodology
Van Lissa, Caspar J.; van Erp, Sara; Clapper, Eli-Boaz – Research Synthesis Methods, 2023
When meta-analyzing heterogeneous bodies of literature, meta-regression can be used to account for potentially relevant between-studies differences. A key challenge is that the number of candidate moderators is often high relative to the number of studies. This introduces risks of overfitting, spurious results, and model non-convergence. To…
Descriptors: Bayesian Statistics, Regression (Statistics), Maximum Likelihood Statistics, Meta Analysis
Tight, Malcolm – Research Papers in Education, 2014
Higher education research is, by its nature, rather an introspective field of study. It is also highly dispersed within and beyond the academy: inherently, therefore, it is a multidisciplinary field of study. An analysis of 567 articles published in 15 leading higher education journals in 2010 demonstrates both the breadth of interest in higher…
Descriptors: Foreign Countries, Higher Education, Educational Research, Interdisciplinary Approach