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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
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Ricca, Bernard P.; Blaine, Bruce E. – Journal of Experimental Education, 2022
Researchers are encouraged to report effect size statistics to quantify treatment effects or effects due to group differences. However, estimates of effect sizes, most commonly Cohen's "d," make assumptions about the distribution of data that are not always true. An alternative nonparametric estimate of effect size, relying on the median…
Descriptors: Nonparametric Statistics, Computation, Effect Size
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Zapparrata, Nicole M.; Brooks, Patricia J.; Ober, Teresa – Journal of Speech, Language, and Hearing Research, 2023
Purpose: Individuals with developmental language disorder (DLD) often exhibit slower processing on time-based tasks in comparison with age-matched peers. Processing speed has been linked to various linguistic skills and might serve as a global indicator of individual differences in language abilities. Despite an extensive literature on processing…
Descriptors: Developmental Disabilities, Language Processing, Reaction Time, Effect Size
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Michael Borenstein – Research Synthesis Methods, 2024
In any meta-analysis, it is critically important to report the dispersion in effects as well as the mean effect. If an intervention has a moderate clinical impact "on average" we also need to know if the impact is moderate for all relevant populations, or if it varies from trivial in some to major in others. Or indeed, if the…
Descriptors: Meta Analysis, Error Patterns, Statistical Analysis, Intervention
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Guido Schwarzer; Gerta Rücker; Cristina Semaca – Research Synthesis Methods, 2024
The "LFK" index has been promoted as an improved method to detect bias in meta-analysis. Putatively, its performance does not depend on the number of studies in the meta-analysis. We conducted a simulation study, comparing the "LFK" index test to three standard tests for funnel plot asymmetry in settings with smaller or larger…
Descriptors: Bias, Meta Analysis, Simulation, Evaluation Methods
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Riesthuis, Paul; Mangiulli, Ivan; Broers, Nick; Otgaar, Henry – Applied Cognitive Psychology, 2022
In the present study, we used a new approach to establish the smallest effect size of interest (SESOI) for false memory research by asking memory researchers what they considered to be the SESOI in false memory research. They were presented with three hypothetical and three influential paper scenarios. These scenarios depicted studies examining…
Descriptors: Effect Size, Memory, Deception, Expertise
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Nezir Ekinci – Educational Policy Analysis and Strategic Research, 2023
With the development of science and technology, the internet and communication technology are constantly expanding and affecting people's lives in many areas. The development of internet and communication technology benefits individuals and society in many ways. The ease of use and access to these technologies causes some problems. The most…
Descriptors: Bullying, Computer Mediated Communication, Personality Traits, Effect Size
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Andre Nickow; Philip Oreopoulos; Vincent Quan – American Educational Research Journal, 2024
Tutoring ranks among the most versatile and potentially transformative educational tools available. Dozens of randomized experiments have evaluated preK-12 tutoring programs, varying widely in approaches, contexts, and costs. This article presents results from a systematic review and meta-analysis of tutoring field experiments. We develop a…
Descriptors: Tutoring, Preschool Education, Elementary Secondary Education, Outcomes of Education
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Elizabeth Brisco; Elena Kulinskaya; Julia Koricheva – Research Synthesis Methods, 2024
Outcomes of meta-analyses are increasingly used to inform evidence-based decision making in various research fields. However, a number of recent studies have reported rapid temporal changes in magnitude and significance of the reported effects which could make policy-relevant recommendations from meta-analyses to quickly go out of date. We…
Descriptors: Meta Analysis, Ecology, Decision Making, Evidence Based Practice
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Peter M. Steiner; Patrick Sheehan; Vivian C. Wong – Grantee Submission, 2023
Given recent evidence challenging the replicability of results in the social and behavioral sciences, critical questions have been raised about appropriate measures for determining replication success in comparing effect estimates across studies. At issue is the fact that conclusions about replication success often depend on the measure used for…
Descriptors: Replication (Evaluation), Measurement Techniques, Statistical Analysis, Effect Size
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Jinma Ren; Jia Ma; Joseph C. Cappelleri – Research Synthesis Methods, 2024
A random-effects model is often applied in meta-analysis when considerable heterogeneity among studies is observed due to the differences in patient characteristics, timeframe, treatment regimens, and other study characteristics. Since 2014, the journals "Research Synthesis Methods" and the "Annals of Internal Medicine" have…
Descriptors: Meta Analysis, Effect Size, Oncology, Patients
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Fei Li; Yunmei Sun – Foreign Language Annals, 2024
To determine the effects of explicit instruction (EI) and potential moderators in second/foreign language (L2) teaching, this study meta-analyzed 28 primary reports (a total of 67 unique samples, N = 3754). The main results show that EI was significantly effective in facilitating L2 development, with effect sizes ranging from moderate to large…
Descriptors: Direct Instruction, Second Language Instruction, Meta Analysis, Effect Size
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František Bartoš; Maximilian Maier; Eric-Jan Wagenmakers; Franziska Nippold; Hristos Doucouliagos; John P. A. Ioannidis; Willem M. Otte; Martina Sladekova; Teshome K. Deresssa; Stephan B. Bruns; Daniele Fanelli; T. D. Stanley – Research Synthesis Methods, 2024
Publication selection bias undermines the systematic accumulation of evidence. To assess the extent of this problem, we survey over 68,000 meta-analyses containing over 700,000 effect size estimates from medicine (67,386/597,699), environmental sciences (199/12,707), psychology (605/23,563), and economics (327/91,421). Our results indicate that…
Descriptors: Publications, Selection, Bias, Meta Analysis
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Zhouhan Jin; Stuart Webb – Studies in Second Language Acquisition, 2024
There has been increasing interest in the effects of note taking in second language (L2) research. However, no meta-analysis has been conducted to examine the relationship between note taking and learning through exposure to L2 input. We retrieved 28 effect sizes from 21 studies (N = 1992) to explore the overall effects of note taking as well as…
Descriptors: Notetaking, Second Language Learning, Meta Analysis, Effect Size
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Aydin, Orhan; Tanious, René – Journal of Applied Behavior Analysis, 2022
Visual analysis and nonoverlap-based effect sizes are predominantly used in analyzing single case experimental designs (SCEDs). Although they are popular analytical methods for SCEDs, they have certain limitations. In this study, a new effect size calculation model for SCEDs, named performance criteria-based effect size (PCES), is proposed…
Descriptors: Evaluation Criteria, Effect Size, Research Design, Data Analysis
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