Measures Inherent to Treatments in Program Effectiveness Reviews
Abstract
Program effectiveness reviews in education seek to provide educators with scientifically valid and useful summaries of evidence on achievement effects of various interventions. Different reviewers have different policies on measures of content taught in the experimental group but not the control group, called here treatment-inherent measures. These are contrasted with treatment-independent measures of content emphasized equally in experimental and control groups. The What Works Clearinghouse (WWC) averages effect sizes from such measures with those from treatment-independent measures, while the Best Evidence Encyclopedia excludes treatment-inherent measures. This article contrasts effect sizes from treatment-inherent and treatment-independent measures in WWC reading and math reviews to explore the degree to which these measures produce different estimates. In all comparisons, treatment-inherent measures produce much larger positive effect sizes than treatment-independent measures. Based on these findings, it is suggested that program effectiveness reviews exclude treatment-inherent measures, or at least report them separately.
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Wise interventions can have effects on a broad range of academic, behavioral, and psychological outcomes.
“Indeed, wise interventions are often low cost, disproportionately benefit low performing groups, have effects that can be sustained over time and context, and, in contrast to interventions that target specialized knowledge, can have effects on a broad range of academic, behavioral, and psychological outcomes.”
From Tackling Educational Inequalities with Social Psychology: Identities, Contexts, and Interventions (2021) · cites this paper as Slavin & Madden, 2011
Wise interventions are often low cost.
“Indeed, wise interventions are often low cost, disproportionately benefit low performing groups, have effects that can be sustained over time and context, and, in contrast to interventions that target specialized knowledge, can have effects on a broad range of academic, behavioral, and psychological outcomes.”
From Tackling Educational Inequalities with Social Psychology: Identities, Contexts, and Interventions (2021) · cites this paper as Slavin & Madden, 2011
Wise interventions disproportionately benefit low performing groups.
“Indeed, wise interventions are often low cost, disproportionately benefit low performing groups, have effects that can be sustained over time and context, and, in contrast to interventions that target specialized knowledge, can have effects on a broad range of academic, behavioral, and psychological outcomes.”
From Tackling Educational Inequalities with Social Psychology: Identities, Contexts, and Interventions (2021) · cites this paper as Slavin & Madden, 2011
Wise interventions have effects that can be sustained over time and context.
“Indeed, wise interventions are often low cost, disproportionately benefit low performing groups, have effects that can be sustained over time and context, and, in contrast to interventions that target specialized knowledge, can have effects on a broad range of academic, behavioral, and psychological outcomes.”
From Tackling Educational Inequalities with Social Psychology: Identities, Contexts, and Interventions (2021) · cites this paper as Slavin & Madden, 2011
These characteristics make wise interventions particularly suitable for scaling up, even where the average size of their effect on the overall population is relatively small.
“These characteristics make wise interventions particularly suitable for scaling up, even where the average size of their effect on the overall population is relatively small (Bakker et al., 2019;Kraft, 2020;Slavin & Madden, 2011).”
From Tackling Educational Inequalities with Social Psychology: Identities, Contexts, and Interventions (2021) · cites this paper as Slavin & Madden, 2011
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“It is indeed unfortunate that poor methodologies tend to report much higher effect size than those with more rigorous methods (Slavin and Smith, 2009: 500; Slavin and Madden, 2011: 370).”
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“…this commonsense connection between the degree to which the assessment is related to the intervention is a well-recognized phenomenon, and performance on distant, broad-band measures remains notoriously difficult to improve (e.g., Bloom, Hill, Black, & Lipsey, 2008; Slavin & Madden, 2011).”
Klang, N., Åsman, J., Mattsson, M., Nilholm, C., & Folkryd, J. W. (2022) · Nordic Journal of Literacy Research · doi:10.23865/njlr.v8.2740 · Cited by 4 · see citing works
“Furthermore, national tests constitute global measures of reading comprehension and may therefore result in lower effect sizes compared to researcher-designed measures (Shadish et al., 2002; Slavin & Madden, 2011).”
Ssenyonga, R., Oxman, A. D., Nakyejwe, E., Chesire, F., Mugisha, M., Nsangi, A., Oxman, M., Rose, C. J., Rosenbaum, S., Moberg, J., et al. (2025) · Trials · doi:10.1186/s13063-024-08607-7 · Cited by 3 · see citing works
“In education research, treatment-inherent measures are associated with larger effect sizes than treatment-independent measures, which measure content taught in both comparison groups [39].”
Dietrichson, J., Thomsen, M. K., Seerup, J. K., Strandby, M. W., Viinholt, B. C. A., & Bengtsen, E. (2022) · Campbell Systematic Reviews · doi:10.1002/cl2.1262 · Cited by 4 · see citing works
“Researcher‐developed measures risk inflating effect sizes (e.g., Slavin, 2011).”
BackgroundDietrichson, J., Bøg, M., Filges, T., & Jørgensen, A. K. (2016) · Campbell Systematic Reviews · doi:10.1002/cl2.170 · Cited by 2 · see citing works
“…target certain domains and not general performance skills, or that it may be easier to improve scores on tests of subdomains than on tests of more general skills, or that tests of subdomains may be more likely to be inherent to treatment (see Slavin & Madden, 2011 for a discussion of the latter).”
BackgroundFrancis, D. J., & Kulesz, P. A. (2026) · Mind, Brain, and Education · doi:10.1111/mbe.70035 · Cited by 2
“Some (Cheung & Slavin, 2015; Slavin & Madden, 2011) have argued that intervention effects on experimenter-developed tests that are not backed up by effects on standardized tests reflect over-alignment of the experimenter-developed test to the treatment, giving the treatment group an unfair advantage.”
Parker, D. C., Stewart, L., Thomson, S., & Kaminski, R. A. (2020) · Assessment for Effective Intervention · doi:10.1177/1534508419897997 · Cited by 2 · see citing works
“The researcher-developed measures in this study produced significant correlations with these assessments, but using the measures to make interpretations about general vocabulary knowledge is inappropriate because of their inherent proximity to the treatment (Slavin & Madden, 2011).”
MethodL’affidabilità dei criteri di inclusione nelle meta-analisi in educazione: una rassegna di studi
Pellegrini, M. (2017) · Journal of Educational Cultural and Psychological Studies (ECPS Journal) · doi:10.7358/ecps-2017-016-pell · Cited by 2 · see citing works
“…influenzano le dimensioni degli effetti nell’istruzione In questo recente lavoro di Cheung e Slavin (2016) sono riprese le conclusioni delle due precedenti ricerche svolte (Slavin & Smith, 2009; Slavin & Madden, 2011) e sono rinforzate attraverso l’analisi di un campione di meta-analisi più vasto.”
BackgroundInfluentialExperimental Evaluations of Elementary Science Programs: A Best-Evidence Synthesis
Slavin, R., Lake, C., Hanley, P., & Thurston, A. (2014) · Journal of Research in Science Teaching · doi:10.1002/tea.21139 · Cited by 2 · see citing works
Self-citationHeller, F., Popp, C., Ziegler, A., & Stoeger, H. (2026) · International Journal of STEM Education · doi:10.1186/s40594-026-00619-w · Cited by 1 · see citing works
“Several investigations have shown that interventions have larger effects on treatment-inherent measures than on independent measures (Slavin & Madden, 2011).”
Newson, N. K., Begeny, J., Davidson, F. L., Codding, R. S., & Kromminga, K. R. (2026) · Behavioral Science · doi:10.3390/bs16030432 · Cited by 1 · see citing works
A Comprehensive Meta-analysis of Handwriting Instruction
Santangelo, T., & Graham, S. (2015) · Educational Psychology Review · doi:10.1007/s10648-015-9335-1
Chalmers, H., Baird, J.-A., Meadows, M., Kay, J., Chen, N., & Miller, S. (2026) · Revista de educación · doi:10.1002/rev3.70211
Fujia, Y., & See, B. H. (2026) · Review of Education · doi:10.1002/rev3.70189
Grasby, K., Larsen, S. A., Gregory, A. M., Blunden, S., Lewis, K., Madrid-Valero, J., Coventry, W., Byrne, B., & Olson, R. K. (2026) · PLoS ONE · doi:10.1371/journal.pone.0347892
“Larger effects may be observed with more proximal assessments of classroom learning in comparison to standardised tests [45], or other, more reliable measures of sleep may show stronger associations with academic variables.”
Meng, X., Hua, L., Rudasill, K. M., Yijing, C. H. E. N., Buzzai, C., & Chen, J. (2026) · Journal of Youth and Adolescence · doi:10.1007/s10964-026-02341-w
“This may stem from the fact that, while standardized measures are generally more reliable (Slavin & Madden, 2011), unstandardized metrics incorporate multiple assessment methods (e.g., teacher and student formative evaluations as well as term-based course grades).”
Smith, B., Morris, S., & Armitage, H. (2022) · Research Papers in Education · doi:10.1080/02671522.2022.2065522
“A treatment-inherent measure is one derived from a test of constructs not ordinarily taught and ‘inherent’ to the treatment or intervention (Slavin and Madden 2011).”
BackgroundSteve, B., Boyer, C., & Morneau-Guérin, F. (2021) · Research Square · doi:10.21203/rs.3.rs-1129185/v3
“In their analysis of seven mathematics research studies, Slavin and Madden (2011) reported that the effect size for homemade measurements is 0.45 and -0.03 for standardized measures.”
BackgroundInfluentialDietrichson, J., Bøg, M., Filges, T., & Jørgensen, A. (2020) · Review of Educational Research · doi:10.3102/0034654320913544 · Cited by 1 · see citing works
“…tests are usually less comprehensive and more likely to measure aspects of content inherent to treatment, but not control group instruction (Slavin & Madden, 2011), standardized tests may provide a more reliable measure of lasting differences between treatment and control groups.”
Simpson, A. (2018) · Educational Research and Evaluation · doi:10.1080/13803611.2018.1520131
“…literature does indeed show that tests more closely aligned to the material taught in the intervention are associated with larger effect sizes (e.g., Cheung & Slavin, 2016; Slavin & Madden, 2011), it is worth examining whether there are alternative explanations which account for this issue.”
BackgroundTaylor, J. A., Polanin, J., Kowalski, S. M., Wilson, C. D., & Stuhlsatz, M. (2022) · Social Sciences & Humanities Open · doi:10.1016/j.ssaho.2022.100312
Scrivere oggi all'Università: teoria, pratiche ed esperienze
LinguaDue, I. (2021) · Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna) · doi:10.13130/2037-3597/1
- Authors
- Slavin, R., & Madden, N. A.
- Affiliations
- Johns Hopkins University (US)
- ORCID
- Slavin, Robert
- Venue
- Journal of Research on Educational Effectiveness
- Publisher
- Informa UK Limited
- Published
- 2011-10
- Volume
- 4
- Issue
- 4
- Pages
- 370-380
- ISSN
- 1934-5739 (ISSN-L)
- 1934-5747
- OpenAlex
- W2163513748
- Cited by
- 124
- References
- 0
- Citations by year
- 2026: 7 · 2025: 4 · 2024: 5 · 2023: 11 · 2022: 15 · 2021: 11 · 2020: 9 · 2019: 4 · 2018: 20 · 2017: 8 · 2016: 10 · 2015: 3 · 2014: 5 · 2013: 7 · 2012: 3
- FWCI
- 5.11
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Research on Educational Effectiveness (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
- Social Sciences › Decision Sciences › Management Science and Operations Research › Evaluation and Performance Assessment
- Social Sciences › Education › Educational Research and Methods
- Keywords
- What Works Clearinghouse, reading intervention, mathematics intervention, evidence-based education
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