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Direct linkNoma, Hisashi; Hamura, Yasuyuki; Sugasawa, Shonosuke; Furukawa, Toshi A. – Research Synthesis Methods, 2023
Network meta-analysis has played an important role in evidence-based medicine for assessing the comparative effectiveness of multiple available treatments. The prediction interval has been one of the standard outputs in recent network meta-analysis as an effective measure that enables simultaneous assessment of uncertainties in treatment effects…
Descriptors: Intervals, Meta Analysis, Evidence Based Practice, Comparative Analysis
Gusenbauer, Michael; Haddaway, Neal R. – Research Synthesis Methods, 2020
Rigorous evidence identification is essential for systematic reviews and meta-analyses (evidence syntheses) because the sample selection of relevant studies determines a review's outcome, validity, and explanatory power. Yet, the search systems allowing access to this evidence provide varying levels of precision, recall, and reproducibility and…
Descriptors: Evidence, Databases, Meta Analysis, Validity
Suurmond, Robert; van Rhee, Henk; Hak, Tony – Research Synthesis Methods, 2017
We present a new tool for meta-analysis, "Meta-Essentials," which is free of charge and easy to use. In this paper, we introduce the tool and compare its features to other tools for meta-analysis. We also provide detailed information on the validation of the tool. Although free of charge and simple, "Meta-Essentials"…
Descriptors: Meta Analysis, Research Tools, Comparative Analysis, Validity
Noam Siegelman; Irina Elgort; Marc Brysbaert; Niket Agrawal; Simona Amenta; Jasmina Arsenijevic Mijalkovic; Christine S. Chang; Daria Chernova; Fabienne Chetail; A. J. Benjamin Clarke; Alain Content; Davide Crepaldi; Nastag Davaabold; Shurentsetseg Delgersuren; Avital Deutsch; Veronika Dibrova; Denis Drieghe; Dušica Filipovic Ðurdevic; Brittany Finch; Ram Frost; Carolina A. Gattei; Esther Geva; Aline Godfroid; Lindsay Griener; Esteban Hernández-Rivera; Anastasia Ivanenko; Juhani Järvikivi; Lea Kawaletz; Anurag Khare; Jun Ren Lee; Charlotte E. Lee; Christina Manouilidou; Marco Marelli; Timur Mashanlo; Ksenija Mišic; Koji Miwa; Pauline Palma; Ingo Plag; Zoya Rezanova; Enkhzaya Riimed; Jay Rueckl; Sascha Schroeder; Irina A. Sekerina; Diego E. Shalom; Natalia Slioussar; Neža Marija Slosar; Vanessa Taler; Kim Thériault; Debra Titone; Odonchimeg Tumee; Ross van de Wetering; Ark Verma; Anna Fiona Weiss; Denise Hsien Wu; Victor Kuperman – Language Learning, 2024
This article presents the ENglish Reading Online (ENRO) project that offers data on English reading and listening comprehension from 7,338 university-level advanced learners and native speakers of English representing 19 countries. The database also includes estimates of reading rate and seven component skills of English, including vocabulary,…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Native Language
Swanson, Elizabeth; Austin, Christy R.; Stewart, Alicia A.; Scammacca, Nancy – Reading & Writing Quarterly, 2020
To better understand the impact of using e-books on students' reading outcomes, we conducted a meta-analysis of 14 studies with students in grades K-12 published between 2007 and 2018. Findings revealed an average effect size across all studies and reading outcomes of 0.9 that did not differ significantly from zero. There was also no statistically…
Descriptors: Meta Analysis, Electronic Publishing, Reading Skills, Outcomes of Education
Download full textSwanson, Elizabeth; Austin, Christy R.; Stewart, Alicia A.; Scammacca, Nancy – Grantee Submission, 2020
To better understand the impact of using e-books on students' reading outcomes, we conducted a meta-analysis of 14 studies with students in grades K-12 published between 2007 and 2018. Findings revealed an average effect size across all studies and reading outcomes of 0.9 that did not differ significantly from zero. There was also no statistically…
Descriptors: Meta Analysis, Electronic Publishing, Reading Skills, Outcomes of Education
Erford, Bradley T.; Johnson, Erin; Bardoshi, Gerta – Measurement and Evaluation in Counseling and Development, 2016
This meta-analysis reviewed 144 studies from 1996 to 2013 using the Beck Depression Inventory-Second Edition. Internal consistency was 0.89 and test-retest reliability 0.75. Convergent comparisons were robust across 43 depression instruments. Structural validity supported both one- and two-factor solutions and diagnostic accuracy varied according…
Descriptors: Measures (Individuals), Depression (Psychology), Meta Analysis, Reliability
Ross, Steven J.; Mackey, Beth – Language Learning, 2015
This chapter introduces three applications of Bayesian inference to common and novel issues in second language research. After a review of the critiques of conventional hypothesis testing, our focus centers on ways Bayesian inference can be used for dealing with missing data, for testing theory-driven substantive hypotheses without a default null…
Descriptors: Bayesian Statistics, Hypothesis Testing, Meta Analysis, Inferences
Bas, Gökhan – Educational Sciences: Theory and Practice, 2016
The main purpose of this study is to determine the effect of multiple intelligences theory (MIT)-based education on students' academic achievement. In this research, the meta-analytic method was adopted to determine this effect, and studies related to this subject carried out in Turkey were compiled. The effect sizes of the studies included in the…
Descriptors: Multiple Intelligences, Meta Analysis, Sample Size, Geographic Regions
Munder, Thomas; Fluckiger, Christoph; Gerger, Heike; Wampold, Bruce E.; Barth, Jurgen – Journal of Counseling Psychology, 2012
Many meta-analyses of comparative outcome studies found a substantial association of researcher allegiance (RA) and relative treatment effects. Therefore, RA is regarded as a biasing factor in comparative outcome research (RA bias hypothesis). However, the RA bias hypothesis has been criticized as causality might be reversed. That is, RA might be…
Descriptors: Validity, Posttraumatic Stress Disorder, Psychotherapy, Effect Size
O'Keeffe, Breda V.; Slocum, Timothy A.; Burlingame, Cheryl; Snyder, Katie; Bundock, Kaitlin – Education and Treatment of Children, 2012
Education and related services are relying increasingly on empirically supported treatments (ESTs), which have been shown to improve student outcomes through rigorous research. Many organizations have developed review systems with guidelines for judging the quality of studies and identifying ESTs. However, little explicit attention has been paid…
Descriptors: Validity, Evaluation, Evidence, Reading Research
Freund, Philipp Alexander; Kasten, Nadine – Psychological Bulletin, 2012
Individuals' perceptions of their own level of cognitive ability are expressed through self-estimates. They play an important role in a person's self-concept because they facilitate an understanding of how one's own abilities relate to those of others. People evaluate their own and other persons' abilities all the time, but self-estimates are also…
Descriptors: Academic Achievement, Validity, Program Effectiveness, Effect Size
Carman, Carol A. – Journal of Advanced Academics, 2013
The lack of a unified definition of giftedness leads researchers to use very different operationalizations when selecting a sample of gifted individuals for use in research. We found 104 empirical articles from 38 journals that differentiated between gifted and nongifted students which were analyzed to determine the most common methods of…
Descriptors: Gifted, Educational Research, Educational History, Bibliometrics
Orem, Chris D. – ProQuest LLC, 2012
Meta-assessment, or the assessment of assessment, can provide meaningful information about the trustworthiness of an academic program's assessment results (Bresciani, Gardner, & Hickmott, 2009; Palomba & Banta, 1999; Suskie, 2009). Many institutions conduct meta-assessments for their academic programs (Fulcher, Swain, & Orem, 2012),…
Descriptors: Validity, Evidence, Evaluation Methods, Meta Analysis
Westrick, Paul A. – ACT, Inc., 2015
This study examined the effects of differential grading in science, technology, engineering, and mathematics (STEM) and non-STEM fields over eight consecutive semesters. Using data from 62,122 students at 26 four-year postsecondary institutions, students were subdivided by institutional admission selectivity levels, gender, and student major…
Descriptors: Grading, Student Evaluation, STEM Education, Meta Analysis
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