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Direct linkStephan B. Bruns; Teshome K. Deressa; T. D. Stanley; Chris Doucouliagos; John P. A. Ioannidis – Research Synthesis Methods, 2024
Using a sample of 70,399 published p-values from 192 meta-analyses, we empirically estimate the counterfactual distribution of p-values in the absence of any biases. Comparing observed p-values with counterfactually expected p-values allows us to estimate how many p-values are published as being statistically significant when they should have been…
Descriptors: Meta Analysis, Research Reports, Research Design, Microeconomics
Henry H. Zink; Ethan R. Van Norman; David A. Klingbeil – Psychology in the Schools, 2024
Single-case design (SCD) is a quantitative experimental technique in which participants serve as their own control. The use of an effect size in SCD allows evaluation of outcomes as well as comparison of outcomes via meta-analyses. Characteristics of SCD research make the selection of an appropriate effect size complicated. Additionally, there are…
Descriptors: Research Design, Case Studies, Effect Size, Academic Ability
Download full textJoshua B. Gilbert; James Soland – Annenberg Institute for School Reform at Brown University, 2024
Differences in effect sizes between researcher developed (RD) and independently developed (ID) outcome measures are widely documented but poorly understood in education research. We conduct a meta-analysis using item-level outcome data to test potential mechanisms that explain differences in effects by RD or ID outcome type. Our analysis of 45…
Descriptors: Effect Size, Research Design, Research Methodology, Meta Analysis
Henry H. Zink; Ethan R. Van Norman; David A. Klingbeil – Grantee Submission, 2023
Single-case design (SCD) is a quantitative experimental technique in which participants serve as their own control. The use of an effect size in SCD allows evaluation of outcomes as well as comparison of outcomes via meta-analyses. Characteristics of SCD research make the selection of an appropriate effect size complicated. Additionally, there are…
Descriptors: Research Design, Case Studies, Effect Size, Academic Ability
Ling Zhang; Gabriel J. Stylianides; Andreas J. Stylianides – International Journal of STEM Education, 2024
Mathematical problem posing, generally defined as the process of interpreting given situations and formulating meaningful mathematical problems, is academically important, and thus several interventions have been used to enhance this competence among students and teachers. Yet little is known about the interventions' various components and their…
Descriptors: Mathematics Skills, Problem Solving, Competence, Meta Analysis
Mariola Moeyaert; Panpan Yang; Yukang Xue – Journal of Experimental Education, 2024
We have entered an era in which scientific evidence increasingly informs research practice and policy. As there is an exponential increase in the use of single-case experimental designs (SCEDs) to evaluate intervention effectiveness, there is accumulating evidence available for quantitative synthesis. Consequently, there is a growing interest in…
Descriptors: Meta Analysis, Research Design, Synthesis, Patients
Zeng, Songtian; Zhao, Hongxia; Hu, Xiaoyi; Pereira, Brittany A.; Pan, Qichao; Meng, Chen; Reyes, Arazeliz; Stone-MacDonald, Angela – Psychology in the Schools, 2022
Although numerous meta-analyses of single-case design (SCD) research have been published, no systematic review has been conducted to holistically reveal the trends in content focus, and the state-of-the-art practices in conducting SCD meta-analyses for school-aged students with autism spectrum disorder (ASD). This study synthesized the…
Descriptors: Students with Disabilities, Autism, Pervasive Developmental Disorders, Research Design
Thomas Cook; Mansi Wadhwa; Jingwen Zheng – Society for Research on Educational Effectiveness, 2023
Context: A perennial problem in applied statistics is the inability to justify strong claims about cause-and-effect relationships without full knowledge of the mechanism determining selection into treatment. Few research designs other than the well-implemented random assignment study meet this requirement. Researchers have proposed partial…
Descriptors: Observation, Research Design, Causal Models, Computation
Shimonovich, Michal; Pearce, Anna; Thomson, Hilary; Katikireddi, Srinivasa Vittal – Research Synthesis Methods, 2022
In fields (such as population health) where randomised trials are often lacking, systematic reviews (SRs) can harness diversity in study design, settings and populations to assess the evidence for a putative causal relationship. SRs may incorporate causal assessment approaches (CAAs), sometimes called 'causal reviews', but there is currently no…
Descriptors: Evidence, Synthesis, Causal Models, Public Health
Natesan Batley, Prathiba; Shukla Mehta, Smita; Hitchcock, John H. – Behavioral Disorders, 2021
Single case experimental design (SCED) is an indispensable methodology when evaluating intervention efficacy. Despite long-standing success with using visual analyses to evaluate SCED data, this method has limited utility for conducting meta-analyses. This is critical because meta-analyses should drive practice and policy in behavioral disorders…
Descriptors: Bayesian Statistics, Research Design, Effect Size, Meta Analysis
Adrie Visscher; Marta Pellegrini; Natasha Dmoshinskaia; Veerle van Luppen – Society for Research on Educational Effectiveness, 2024
Why we need better reports of teacher professional development interventions for finding out what works where: Worldwide, billions of dollars are invested yearly in the professional development of in-service teachers ($14 billion in the USA alone, as of 2014; Bill & Melinda Gates Foundation, 2014). This makes the question of what effects TPD…
Descriptors: Faculty Development, Intervention, Publications, Educational Research
John Deke; Mariel Finucane; Dan Thal – Society for Research on Educational Effectiveness, 2022
Background/Context: Methodological background: Meta-analysis typically depends on the assumption that true effects follow the normal distribution. While assuming normality of effect "estimates" is often supported by a central limit theorem, normality for the distribution of interventions' "true" effects is a computational…
Descriptors: Bayesian Statistics, Meta Analysis, Regression (Statistics), Research Design
Jamshidi, Laleh; Declercq, Lies; Fernández-Castilla, Belén; Ferron, John M.; Moeyaert, Mariola; Beretvas, S. Natasha; Van den Noortgate, Wim – Journal of Experimental Education, 2021
Previous research found bias in the estimate of the overall fixed effects and variance components using multilevel meta-analyses of standardized single-case data. Therefore, we evaluate two adjustments in an attempt to reduce the bias and improve the statistical properties of the parameter estimates. The results confirm the existence of bias when…
Descriptors: Statistical Bias, Multivariate Analysis, Meta Analysis, Research Design
Erford, Bradley T.; Chang, Catherine Y.; Crockett, Stephanie A.; Byrd, Rebekah; Johnsen, Sarah T.; MacInerney, Erin K.; Menzies, Alyson; Milowsky, Andrew I.; Saks, Jordana; Wills, LeAnn; Zhang, Xi; Alder, Candice; Anderson, Billie; Barstack, Samantha; Bradford, Emily; Choi, Jennifer; Cummings, Jenna A.; Fuller, Alexandra; Gayowsky, Jennifer; Gonsalves, Gala; Haffner, Alyson M.; Hinkle, Daniel G.; Johnsen, K. Britt; Johnson, Arden; Katrak, Karishma K.; Kepley, Leah; Kwag, Daun; Mehlhouse, Kaitlyn; Melanson, Marcella; Miller, Madison K.; Muller, Lauren A.; Olson, Emily S.; Pesavento, Alyssa R.; Rippeto, Margaret; Stewart, Elizabeth; Siegler, Emily; Stafford, Carly; Clair, Anne M. St.; Sylvester, Anne-Marie; Villette, Lexa; Watson, Kristin; Wary, Samantha; West, Caroline; Williams, Dorrie; Yu, Candice – Measurement and Evaluation in Counseling and Development, 2023
Articles published in 22 counseling journals from 2010-2019 were compared on 26 author and article characteristics. Women now constitute majorities of authorship and counseling journals are publishing larger proportions of research articles, 63% of which used quantitative approaches and about 11% of which studied counseling interventions.
Descriptors: Scholarship, Journal Articles, Periodicals, Authors
Moeyaert, Mariola; Yang, Panpan; Xu, Xinyun; Kim, Esther – Grantee Submission, 2021
Hierarchical linear modeling (HLM) has been recommended as a meta-analytic technique for the quantitative synthesis of single-case experimental design (SCED) studies. The HLM approach is flexible and can model a variety of different SCED data complexities, such as intervention heterogeneity. A major advantage of using HLM is that participant…
Descriptors: Meta Analysis, Case Studies, Research Design, Hierarchical Linear Modeling
