The DOI matches its Crossref record; 36 of the 37 references it cites were found in a registry or an index.
How Methodological Features Affect Effect Sizes in Education
Abstract
As evidence becomes increasingly important in educational policy, it is essential to understand how research design might contribute to reported effect sizes in experiments evaluating educational programs. A total of 645 studies from 12 recent reviews of evaluations of preschool, reading, mathematics, and science programs were studied. Effect sizes were roughly twice as large for published articles, small-scale trials, and experimenter-made measures, compared to unpublished documents, large-scale studies, and independent measures, respectively. Effect sizes were significantly higher in quasi-experiments than in randomized experiments. Excluding tutoring studies, there were no significant differences in effect sizes between elementary and middle/high studies. Regression analyses found that effects of all factors maintained after controlling for all other factors. Explanations for the effects of methodological features on effect sizes are discussed, as are implications for evidence-based policy.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“In addition, published studies in higher rated journals may report larger effects than unpublished reports due to biases in publishing only the stronger associations and significant results (Cheung & Slavin, 2016).”
From Does Natural Mentoring Matter? A Multilevel Meta‐analysis on the Association Between Natural Mentoring and Youth Outcomes (2018) · cites this paper as Cheung & Slavin, 2016
In the citing paper
“major factors that have consistently shown to affect meta‐analytic results in other fields of research are study characteristics, such as the year and quality of the study (Cheung & Slavin, 2016).”
From Does Natural Mentoring Matter? A Multilevel Meta‐analysis on the Association Between Natural Mentoring and Youth Outcomes (2018) · cites this paper as Cheung & Slavin, 2016
In the citing paper
“pre-to post effects generally are much larger than in randomized controlled studies [33,34]”
From Virtual reality exposure therapy for fear of spiders: an open trial and feasibility study of a new treatment for arachnophobia (2024) · cites this paper as [33]
In the citing paper
“Similar effect sizes are substantial; Cheung and Slavin (2016) find, in their meta-analysis of 197 RCTs, an average effect size on academic achievement of 0.16 standard deviations.”
From The effect of school closures on standardised student test outcomes (2022) · cites this paper as Cheung and Slavin (2016)
Citations
Cites
(2000) · Cited by 9,198
Meta-analysis in social research
(1982) · Evaluation and Program Planning · doi:10.1016/0149-7189(82)90011-8 · Cited by 3,896
Lipsey, M. W., & Wilson, D. B. (1993) · American Psychologist · doi:10.1037/0003-066x.48.12.1181 · Cited by 2,033
Is working memory training effective? A meta-analytic review
Melby-Lervåg, M., & Hulme, C. (2013) · Developmental Psychology · doi:10.1037/a0028228 · Cited by 1,782
Espinosa, J. C. (2004) · Cited by 939
Cheung, A. C. K., & Slavin, R. E. (2013) · Educational Research Review · doi:10.1016/j.edurev.2013.01.001 · Cited by 792
Self-citationFerguson, C. J., & Heene, M. (2012) · Perspectives on Psychological Science · doi:10.1177/1745691612459059 · Cited by 603
Edmonds, M. S., Vaughn, S., Wexler, J., Reutebuch, C., Cable, A., Tackett, K. K., & Schnakenberg, J. W. (2009) · Review of Educational Research · doi:10.3102/0034654308325998 · Cited by 599
Grey literature in meta-analyses of randomized trials of health care interventions
Hopewell, S., McDonald, S., Clarke, M. J., & Egger, M. (2007) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.mr000010.pub3 · Cited by 598
Slavin, R. E. (2008) · Educational Researcher · doi:10.3102/0013189x08314117 · Cited by 560
Self-citation
Research works printed but not linked: 7
- Baron J., 2003, How to assess whether an educational intervention has been “proven effective” in rigorous research
- Buck S., 2015, Why government needs more randomized control trials: Refuting the myths
- Liao Y. K. C., 1999, Journal of Educational Multimedia and Hypermedia, 8, 255
- Nussle J., 2014, Moneyball for government
- Pearson P. D., 2005, The effects of technology on reading performance in the middle-school grades: A meta-analysis with recommendation for policy
- Slavin R. E., 2013, Education Week, 32, 24
- What Works Clearinghouse, 2014, Procedures and standards handbook
Cited by
Sorted by citations
Items 201–300 of 532
Filges, T., Torgerson, C. J., Gascoine, L., Dietrichson, J., Nielsen, C. P., & Viinholt, B. C. A. (2019) · Campbell Systematic Reviews · doi:10.1002/cl2.1060 · Cited by 15
Analysis of Social Media Discussions on (#)Diet by Blue, Red, and Swing States in the U.S.
Karami, A., Dahl, A. A., Shaw, G. B., Valappil, S. P., Turner‐McGrievy, G. M., Kharrazi, H. H. K., & Bozorgi, P. (2021) · Healthcare · doi:10.3390/healthcare9050518 · Cited by 15
The Cambridge Handbook of Applied School Psychology
Worrell, T. L. H. F. C. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108235532 · Cited by 15
Grundlagen der sprachlichen Bildung
:null (2023) · Waxmann Verlag GmbH eBooks · doi:10.31244/9783830997757 · Cited by 17
Murphy, A., & Arciuli, J. (2024) · Journal of Research in Reading · doi:10.1111/1467-9817.12448 · Cited by 31
Bøg, M., Dietrichson, J., & Isaksson, A. A. (2021) · The Journal of Educational Research · doi:10.1080/00220671.2021.1902254 · Cited by 31
Zhou, L., & Li, C. (2020) · Science Insights Education Frontiers · doi:10.15354/sief.20.ar016 · Cited by 14
Burns, S., Saleem, S., McMullen, E., Falenchuk, O., White, L. A., Dhuey, E., & Perlman, M. (2025) · Review of Education · doi:10.1002/rev3.70079 · Cited by 27
Slavi Stoyanov, A., & Kirschner, P. A. (2023) · Journal of Computer Assisted Learning · doi:10.1111/jcal.12775 · Cited by 17
Sacré, M., Lafontaine, D., & Toczek, M. (2021) · Nouveaux cahiers de la recherche en éducation · doi:10.7202/1085361ar · Cited by 32
A systematic review and meta-analysis of data use professional development interventions
Ansyari, M. F., Groot, W., & Witte, K. D. (2022) · Journal of Professional Capital and Community · doi:10.1108/jpcc-09-2021-0055 · Cited by 19
A meta-analysis on the effectiveness of functional literacy interventions for adults
Kindl, J., & Lenhard, W. (2023) · Educational Research Review · doi:10.1016/j.edurev.2023.100569 · Cited by 16
Effectiveness of Flipped Classrooms for K–12 Students: Evidence From a Three-Level Meta-Analysis
Li, S., Fu, W., Liu, X., & Hwang, G. (2024) · Review of Educational Research · doi:10.3102/00346543241261732 · Cited by 34
Chan, J., & Erduran, S. (2024) · Research in Science Education · doi:10.1007/s11165-024-10213-1 · Cited by 19
Fuchs, A., Radkowitsch, A., & Sommerhoff, D. (2024) · Educational Research Review · doi:10.1016/j.edurev.2024.100648 · Cited by 23
Carpenter, D. M., Kaka, S. J., Tygret, J., & Cathcart, K. (2017) · Research in Higher Education · doi:10.1007/s11162-017-9456-0 · Cited by 12
YABANCILARA DİL ÖĞRETİMİNDE TEKNOLOJİNİN KULLANIMI: BİR KARMA-META YÖNTEMİ
Batdı, V. (2021) · Milli Eğitim Dergisi · doi:10.37669/milliegitim.942631 · Cited by 14
Effectiveness of the Constructivist Approach to Learning: A Mixed-Meta Method Study
Batdı, V. (2023) · TED EĞİTİM VE BİLİM · doi:10.15390/eb.2023.11774 · Cited by 12
Simpson, A. P. (2019) · Educational Research and Evaluation · doi:10.1080/13803611.2019.1617170 · Cited by 12
Dröse, J., & Prediger, S. (2020) · Studies In Educational Evaluation · doi:10.1016/j.stueduc.2020.100953 · Cited by 17
Interventionsforschung im Kontext Schule
Souvignier, E. (2021) · Springer eBooks · doi:10.1007/978-3-658-24734-8_9-1 · Cited by 12
Evaluation of cooperative learning in science education: A mixed-meta method study
Yaşar, M. D., Erdoğan, M., Batdı, V., & Cinkara, Ü. (2024) · European Journal of Science and Mathematics Education · doi:10.30935/scimath/14872 · Cited by 11
Effect size benchmarks: Time for a causal renaissance
Amari, P. M., Banks, G. C., Bourque, L., Holladay-Sandidge, H. D., & O’Boyle, E. H. (2024) · The Leadership Quarterly · doi:10.1016/j.leaqua.2024.101855 · Cited by 13
Cognition Research in Practice: Engineering and Evaluating a Middle School Math Curriculum
Davenport, J. L., Kao, Y., Matlen, B. J., & Schneider, S. (2019) · The Journal of Experimental Education · doi:10.1080/00220973.2019.1619067 · Cited by 12
The effectiveness of interventions for youth that activate the social network: a meta-analytic study
Koper, N., van der Heijden, R. M., Donk, S., Kieu, T., Creemers, H. E., van Dam, L., Branje, S., & Stams, G. J. J. M. (2024) · Applied Developmental Science · doi:10.1080/10888691.2024.2317714 · Cited by 10
Ni, Y., Ho, G., Cai, J., Cheung, A., Chen, G., & Ng, O. (2017) · International Journal of Educational Research · doi:10.1016/j.ijer.2017.08.008 · Cited by 11
Self-citationEvidence-Based Education: The (Not So Simple) Case of French-Speaking Belgium
Dachet, D., & Baye, A. (2020) · ECNU Review of Education · doi:10.1177/2096531120928086 · Cited by 18
Täschner, J., Dicke, T., Reinhold, S., & Holzberger, D. (2023) · doi:10.31234/osf.io/cds45 · Cited by 11
Charalambous, C. Y., & Praetorius, A. (2025) · School Effectiveness and School Improvement · doi:10.1080/09243453.2025.2482574 · Cited by 11
Cross-Language Morphological Analysis Improves Academic Word Learning for Multilingual Adolescents
Crosson, A. C., Kieffer, M. J., McKeown, M. G., & Nagy, W. E. (2024) · Scientific Studies of Reading · doi:10.1080/10888438.2024.2415916 · Cited by 16
Négyesi, J., Négyesi, P., Hortobágyi, T., Sun, S., Kusuyama, J., Kiss, R. M., & Nagatomi, R. (2022) · Scientific Reports · doi:10.1038/s41598-022-21962-2 · Cited by 10
Chow, J. C., Ledford, J. R., Windsor, S. A., & Bennett, P. (2023) · Exceptional Children · doi:10.1177/00144029231165505 · Cited by 11
Casteleyn, J. (2019) · L1 Educational Studies in Language and Literature · doi:10.17239/l1esll-2019.19.03.04 · Cited by 10
Tamim, R. M., Borokhovski, E., Bernard, R. M., Schmid, R. F., Abrami, P. C., & Pickup, D. I. (2021) · Australasian Journal of Educational Technology · doi:10.14742/ajet.6322 · Cited by 10
Effect sizes for contrasts of estimated marginal effects
Shaw, B. P. (2022) · The Stata Journal Promoting communications on statistics and Stata · doi:10.1177/1536867x221083901 · Cited by 10
Data-based decision making put to the test
Scheer, V. D. E. (2016) · doi:10.3990/1.9789036541589 · Cited by 10
Social-Media-Based Mental Health Interventions: Meta-Analysis of Randomized Controlled Trials
Zhang, Q., Huang, Z., Sui, Y., Lin, F.-H., Guan, H., Li, L., Wang, K., & Neitzel, A. J. (2025) · Journal of Medical Internet Research · doi:10.2196/67953 · Cited by 12
George, A. J., Rajkumar, E., Romate, J., Lakshmı, R., & Wajid, M. (2021) · The Open Psychology Journal · doi:10.2174/1874350102114010167 · Cited by 9
Higgins, S. (2018) · Cambridge University Press eBooks · doi:10.1017/9781139519618 · Cited by 26
Pronk, S., Kuiper, C., Smit, D., Stams, G. J., Popma, A., Mulder, E., & Berg, V. D. (2020) · Preventing School Failure: Alternative Education for Children and Youth · doi:10.1080/1045988x.2019.1710099 · Cited by 9
Bissonnette, S., & Boyer, C. (2021) · Journal of Computer Assisted Learning · doi:10.1111/jcal.12557 · Cited by 9
Developing Techno-mathematical Literacies in higher technical professional education
van der Wal, N. J. (2020) · Utrecht University Repository (Utrecht University) · doi:10.33540/422 · Cited by 10
Zhang, C., Sun, N., Jiang, Y., Liu, H., & Huang, Q. (2024) · The Asia-Pacific Education Researcher · doi:10.1007/s40299-024-00960-0 · Cited by 8
Miller, A. H., Espinas, D. R., McNeish, D., & Barnes, M. A. (2025) · Educational Psychology Review · doi:10.1007/s10648-025-10070-y · Cited by 10
Wang, J., Tigelaar, D. E. H., Ye, T., & Admiraal, W. (2025) · Journal of Computer Assisted Learning · doi:10.1002/jcal.70168 · Cited by 8
The impact of cultural capital on school performance
Nunes, A. C., & de Andrade, J. M. (2024) · Frontiers in Education · doi:10.3389/feduc.2024.1389574 · Cited by 12
Luyten, H., Merrell, C. H., & Tymms, P. B. (2020) · Studies In Educational Evaluation · doi:10.1016/j.stueduc.2020.100939 · Cited by 8
Yao, J., Yao, J., Li, P., Xu, Y., & Wei, L. (2023) · Science Insights Education Frontiers · doi:10.15354/sief.23.re228 · Cited by 9
Reynolds, D. (2020) · Reading Research Quarterly · doi:10.1002/rrq.314 · Cited by 8
The Hidden Classroom: How Gender Stereotypes Impact Academic Achievement
Gonzalez, A. M., Oh, J. H. J., & Baron, A. S. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108235532.018 · Cited by 11
Evaluating the performance of propensity score matching methods: A simulation study
Jacovidis, J. (2017) · JMU Scholoraly Commons (James Madison University) · Cited by 8
A longitudinal test of the impact of CLIL on language emotions and learning motivation
Mettewie, L., Mensel, L. V., Smet, A. D., & Galand, B. (2024) · System · doi:10.1016/j.system.2024.103355 · Cited by 15
Xie, W., & Lin, X. (2024) · Teaching and Teacher Education · doi:10.1016/j.tate.2024.104823 · Cited by 16
Jilink, L., Leseman, P. P. M., Slot, P. L., & Deynoot-Schaub, M. J. J. M. G. (2025) · International Journal of Educational Research Open · doi:10.1016/j.ijedro.2025.100546 · Cited by 11
Semerikov, S. O., & Semerikov, S. O. (2026) · Discover Education · doi:10.1007/s44217-026-01179-5 · Cited by 9
Francis, D. J., Kulesz, P. A., Khalaf, S., Walczak, M., & Vaughn, S. R. (2022) · Learning and Individual Differences · doi:10.1016/j.lindif.2022.102167 · Cited by 10
Malleable factors in teaching: why and how to address them from a constructivist perspective
Qvortrup, A., & Lykkegaard, E. (2022) · Scandinavian Journal of Educational Research · doi:10.1080/00313831.2022.2148272 · Cited by 7
Effect of inclusive practices on attitudes: A meta-analysis study
Yerliyurt, N. S., Elaldı, Ş., & Çifçi, M. (2023) · South African Journal of Education · doi:10.15700/saje.v43n1a2212 · Cited by 7
Lindström‐Sandahl, H., Elwér, Å., Samuelsson, S., & Danielsson, H. (2023) · Dyslexia · doi:10.1002/dys.1751 · Cited by 7
Rhodes, M. J., Visscher, A. J., van Keulen, H., & Gijsel, M. A. R. (2024) · European Journal of STEM Education · doi:10.20897/ejsteme/14570 · Cited by 14
Estimating Teacher Attrition for Impact Study Design
Taylor, J. A., & West, B. T. (2019) · Educational Researcher · doi:10.3102/0013189x19880550 · Cited by 7
Xie, C. (2020) · ECNU Review of Education · doi:10.1177/2096531120944410 · Cited by 7
Open Science als Beitrag zur Qualität in der Bildungsforschung
Krammer, G., & Svecnik, E. (2020) · Zeitschrift für Bildungsforschung · doi:10.1007/s35834-020-00286-z · Cited by 11
Mensel, L. V., & Galand, B. (2022) · European Journal of Psychology of Education · doi:10.1007/s10212-022-00597-x · Cited by 8
Somers, M., Weiss, M. J., & Hill, C. (2022) · Evaluation Review · doi:10.1177/0193841x221121236 · Cited by 7
Bakioğlu, A., & Göktaş, E. (2019) · Kuramsal Eğitimbilim · doi:10.30831/akukeg.454886 · Cited by 7
Social and Emotional Learning in Schools
DiPerna, J. C., Frey, J. R., & Hart, S. C. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108235532.025 · Cited by 8
Benchmarking a Misnomer: A Note on “Interpreting Effect Sizes in Education Interventions”
Simpson, A. P. (2021) · Educational Researcher · doi:10.3102/0013189x20985448 · Cited by 10
Geel, V., & Keuning, T. (2016) · doi:10.3990/1.9789036541190 · Cited by 14
Stefanidis, A., King‐Sears, M. E., Strogilos, V., Berkeley, S. L., DeLury, M., & Voulagka, A. (2023) · International Journal of Educational Research · doi:10.1016/j.ijer.2023.102208 · Cited by 9
Meta-Analysis for Math Teachers’ Professional Development and Students’ Achievement
Franklin, A. V., & Chang, M. (2025) · Education Sciences · doi:10.3390/educsci15091156 · Cited by 13
Ailauova, Z. S., Doğan, Y., & Batdı, V. (2024) · Educational Research and Evaluation · doi:10.1080/13803611.2024.2359534 · Cited by 6
Growth on 2019 State Achievement Tests: Empirical Benchmarks and the Role of Scale Choice
Student, S. R. (2024) · Journal of Research on Educational Effectiveness · doi:10.1080/19345747.2024.2360534 · Cited by 5
What Impacts Should We Expect From Tutoring at Scale? Exploring Meta-Analytic Generalizability
Kraft, M. A., Schueler, B. E., & Falken, G. T. (2026) · Review of Educational Research · doi:10.3102/00346543261446660 · Cited by 18
Hvidman, C., Koch, A. K., Julia Nafziger, B., Nielsen, S. A., & Rosholm, M. (2020) · Labour Economics · doi:10.1016/j.labeco.2024.102535 · Cited by 6
Batdı, V., & Akıcı, B. G. (2022) · Elektronik Sosyal Bilimler Dergisi · doi:10.17755/esosder.1060318 · Cited by 6
Social and Emotional Learning and Early Literacy Skills: A Quasi-Experimental Study of RULER
Bailey, C. S., Martinez, O., & DiDomizio, E. E. (2023) · Education Sciences · doi:10.3390/educsci13040397 · Cited by 12
In-school arts education and academic achievement: A child fixed effects approach
Todhunter-Reid, A. (2018) · Arts Education Policy Review · doi:10.1080/10632913.2018.1423595 · Cited by 6
Gli indici di effect size nella ricerca educativa. Analisi comparativa e significatività pratica
Pellegrini, M., Vivanet, G., & Trinchero, R. (2018) · Journal of Educational Cultural and Psychological Studies (ECPS Journal) · doi:10.7358/ecps-2018-018-pel1 · Cited by 6
Multisite educational trials: estimating the effect size and its confidence intervals
Singh, A., Uwimpuhwe, G., Li, M., Einbeck, J., Higgins, S., & Kasim, A. (2021) · International Journal of Research & Method in Education · doi:10.1080/1743727x.2021.1882416 · Cited by 6
Filges, T., Dietrichson, J., Viinholt, B. C. A., & Dalgaard, N. T. (2021) · Campbell Systematic Reviews · doi:10.1002/cl2.1157 · Cited by 7
Lessons Learned from Large-Scale Randomized Experiments
Slavin, R. E., & Cheung, A. (2017) · Journal of Education for Students Placed at Risk (JESPAR) · doi:10.1080/10824669.2017.1360774 · Cited by 6
Self-citationThe effects of teaching mental calculation in the development of mathematical abilities
Ruiz, C., & Balbi, A. (2018) · The Journal of Educational Research · doi:10.1080/00220671.2018.1519689 · Cited by 7
Learning Disabilities in Mathematics
McKerracher, A. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108235532.004 · Cited by 6
Improving the Utility of Non-Significant Results for Educational ResearchPreprint
Edelsbrunner, P. A., & Thurn, C. (2020) · PsyArXiv (OSF Preprints) · doi:10.31234/osf.io/j93a2 · Cited by 7
Peer Tutoring and Math Digital Tools: A Promising Combination in Middle School
Miravet, L. M., Alegre, F., & Valentín, G. L. (2022) · Mathematics · doi:10.3390/math10132360 · Cited by 5
When Should Evaluators Lose Sleep Over Measurement? Toward Establishing Best Practices
Soland, J. G., Edwards, K., & Talbert, E. (2024) · Journal of Research on Educational Effectiveness · doi:10.1080/19345747.2024.2344011 · Cited by 10
Sacré, M., Lafontaine, D., & Toczek, M. (2020) · Mesure et évaluation en éducation · doi:10.7202/1074105ar · Cited by 7
Suryaputri, I. Y., Mubasyiroh, R., Arfines, P. P., Rachmalina, R., Idaiani, S., Sitorus, N., Rosha, B. C., Health Policy Agency, M. O. H., Khotimah, E. N., & Setiyawati, D. (2023) · Journal of Population and Social Studies · doi:10.25133/jpssv322024.015 · Cited by 5
Yin, Q., & Sadowski, S. (2024) · Journal of Consumer Behaviour · doi:10.1002/cb.2325 · Cited by 11
Qvortrup, A., & Lykkegaard, E. (2024) · Education Sciences · doi:10.3390/educsci14080904 · Cited by 5
Wang, X., Zhang, Q., Chen, H., Neitzel, A. J., & Davis, M. H. (2024) · International Journal of Educational Research · doi:10.1016/j.ijer.2024.102442 · Cited by 14
Motivational interviewing for students in school settings: A meta-analysis
Gersib, J. A., Rojo, M., King, S. G., & Doabler, C. T. (2024) · Journal of School Psychology · doi:10.1016/j.jsp.2024.101386 · Cited by 5
The Reading Wars and Reading Recovery: What Educators, Families, and Taxpayers Should Know
Cook, P., Rodes, D. R., & Lipsitz, K. L. (2017) · Learning Disabilities: a Multidisciplinary Journal · doi:10.18666/ldmj-2017-v22-i2-8391 · Cited by 5
Parental Autonomy and Relatedness Support
Froiland, J. M. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108235532.016 · Cited by 6
The Academic Support Index: A Tool for Contextualizing Student Data
Stevens, D. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108235532.009 · Cited by 5
Cognitive acceleration in mathematics education: further evidence of impact
Seleznyov, S., Adhami, M., Black, A. E., Hodgen, J., & Twiss, S. (2021) · Education 3-13 · doi:10.1080/03004279.2021.1872678 · Cited by 5
Tolmatcheff, C., Bebiroglu, N., & Galand, B. (2020) · Revue française de pédagogie · doi:10.4000/rfp.9846 · Cited by 6
Bratlie, S. S., Gustafsson, J., & Torkildsen, J. V. K. (2021) · Reading Research Quarterly · doi:10.1002/rrq.447 · Cited by 7
Working memory training: mechanisms, challenges and implications for the classroom
Song, J., MacQuarrie, S., & Hennessey, A. (2023) · Frontiers in Education · doi:10.3389/feduc.2023.1198315 · Cited by 10
Metadata
- Authors
- Cheung, A. C. K., & Slavin, R. E.
- Affiliations
- Chinese University of Hong Kong (HK)
- Johns Hopkins University (US)
- Venue
- Educational Researcher
- Published
- 2016-06
- Volume
- 45
- Issue
- 5
- Pages
- 283-292
- ISSN
- 0013-189X (ISSN-L)
- 1935-102X
- OpenAlex
- W2470242385
- Cited by
- 529
- References
- 37
- Citations by year
- 2026: 61 · 2025: 57 · 2024: 57 · 2023: 56 · 2022: 62 · 2021: 57 · 2020: 94 · 2019: 36 · 2018: 23 · 2017: 18 · 2016: 8
- FWCI
- 26.47
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Educational Researcher (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
- Social Sciences › Public Administration › Evaluation and Performance Assessment
- Social Sciences › Education › Educational Research and Methods
- Keywords
- effect size, research design, methodological characteristics, educational program evaluation, randomized experiments, quasi-experiments, unpublished research, preschool programs, reading programs, mathematics programs, science programs, evidence-based policy, publication bias
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review