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Direct linkPrathiba Natesan Batley; Erica B. McClure; Brandy Brewer; Ateka A. Contractor; Nicholas John Batley; Larry Vernon Hedges; Stephanie Chin – Grantee Submission, 2023
N-of-1 trials, a special case of Single Case Experimental Designs (SCEDs), are prominent in clinical medical research and specifically psychiatry due to the growing significance of precision/personalized medicine. It is imperative that these clinical trials be conducted, and their data analyzed, using the highest standards to guard against threats…
Descriptors: Medical Research, Research Design, Data Analysis, Effect Size
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
Kun Yan; Li Wei; Kaiming Bu; Jiahui Zhang – Asia-Pacific Education Researcher, 2024
Although most gifted education programs have included undergraduate research (UGR) in their training plans, scholars have not reached a consensus on UGR's effectiveness, especially for gifted college students. With a sample of 7460 students from 15 studies conducted worldwide during 1985-2022, this study explores the relationship between research…
Descriptors: College Students, Academically Gifted, Student Research, Academic Achievement
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
Maxfield, Trevor; Park, Eun-Young; Blair, Kwang-Sun Cho – Journal of Behavioral Education, 2023
This study synthesized 14 published and unpublished group design and single-case design studies on bullying interventions for individuals with disabilities. The specific objectives were to examine the general characteristics and design qualities of the studies, quantify the magnitude of the intervention effects, and identify potential moderating…
Descriptors: Bullying, Intervention, Victims, Disabilities
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
Boers, Frank; Bryfonski, Lara; Faez, Farahnaz; McKay, Todd – Studies in Second Language Acquisition, 2021
Meta-analytic reviews collect available empirical studies on a specified domain and calculate the average effect of a factor. Educators as well as researchers exploring a new domain of inquiry may rely on the conclusions from meta-analytic reviews rather than reading multiple primary studies. This article calls for caution in this regard because…
Descriptors: Meta Analysis, Literature Reviews, Effect Size, Computation
Download full textFingerhut, 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
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
Declercq, Lies; Jamshidi, Laleh; Fernández-Castilla, Belen; Moeyaert, Mariola; Natasha, Beretvas S.; Ferron, John M.; Van den Noortgate, Wim – Grantee Submission, 2020
To conduct a multilevel meta-analysis of multiple single-case experimental design (SCED) studies, the individual participant data (IPD) can be analyzed in one or two stages. In the one-stage approach, a multilevel model is estimated based on the raw data. In the two-stage approach, an effect size is calculated for each participant and these effect…
Descriptors: Research Design, Data Analysis, Effect Size, Models
Agussuryani, Qori; Sudarmin, Sudarmin; Sumarni, Woro; Cahyono, Edy; Ellianawati, Ellianawati – International Journal of Evaluation and Research in Education, 2022
The low higher order thinking skills (HOTS) of vocational students is shown from the approaches and models used in learning that are not specific, learning activities are limited to methods that have not been able to grow HOTS. One of the approaches offered in science, technology, engineering, and mathematics (STEM). The research objective was to…
Descriptors: Foreign Countries, STEM Education, Literacy, Vocational Schools
Meleah M. Ackley – ProQuest LLC, 2022
Daily Behavior Report Cards (DBRCs) have proven effective across a vast array of behaviors and students by provide a rating system for school staff to report students' behavior progress. The current meta-analysis included eleven studies between 2007-2022, wherein participants ranged from preschool to sixth grade. The current study further…
Descriptors: Meta Analysis, Student Behavior, Report Cards, Behavior Rating Scales
Moeyaert, Mariola; Yang, Panpan – Grantee Submission, 2021
This study introduces an innovative meta-analytic approach, two-stage multilevel meta-analysis that considers the hierarchical structure of single-case experimental design (SCED) data. This approach is unique as it is suitable to include moderators at the intervention level, participant level, and study level, and is therefore especially…
Descriptors: Hierarchical Linear Modeling, Meta Analysis, Research Design, Case Studies
