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Martin Brunner; Sophie E. Stallasch; Oliver Lüdtke – Journal of Research on Educational Effectiveness, 2024
To assess the meaningfulness of an intervention effect on students' achievement, researchers may apply empirical benchmarks as standards for comparisons, involving normative expectations for students' academic growth as well as performance gaps between weak and average schools or policy-relevant groups (e.g., male and female students, students…
Descriptors: Foreign Countries, Meta Analysis, Benchmarking, Intervention
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Sandra Jo Wilson; Brian Freeman; E. C. Hedberg – Grantee Submission, 2024
As reporting of effect sizes in evaluation studies has proliferated, researchers and consumers of research need tools for interpreting or benchmarking the magnitude of those effect sizes that are relevant to the intervention, target population, and outcome measure being considered. Similarly, researchers planning education studies with social and…
Descriptors: Benchmarking, Effect Size, Meta Analysis, Statistical Analysis
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Pearson, Heather Ann; Montazami, Armaghan; Dubé, Adam Kenneth – British Journal of Educational Technology, 2023
Researchers recommend that parents look for five benchmarks as indicators of quality educational apps (ie, scaffolding, curriculum, development team, feedback, learning theory), yet results show that parents undervalue some of these benchmarks. The current study examined if a short video-based intervention would enhance parents' value-judgements…
Descriptors: Computer Software, Benchmarking, Video Technology, Intervention
Jason C. Chow; Jennifer R. Ledford; Sienna Windsor; Paige Bennett – Exceptional Children, 2023
The purpose of this study is to present a set of empirically derived effect size distributions in order to provide field-based benchmarks for assessing the relative effects of interventions aimed at reducing challenging behavior or increasing engagement for young children with and without disabilities. We synthesized 192 single-case designs that…
Descriptors: Behavior Problems, Intervention, Prediction, Learner Engagement
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Ran Xu; Kenneth A. Frank; Qinyun Lin; Spiro J. Maroulis; Xuesen Cheng – Grantee Submission, 2025
One of the most important factors affecting the use of evidence for policy or practice is the uncertainty of study results. Furthermore, this uncertainty is compounded by our increasing awareness of heterogeneous treatment effects. Here we inform debate about the strength of study evidence by quantifying the conditions necessary to nullify an…
Descriptors: Literacy Education, Intervention, Statistical Inference, Vocabulary Development
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Maki, Kathrin E.; Ittner, Anne; Pulles, Sandra M.; Burns, Matthew K.; Helman, Lori; McComas, Jennifer J. – Contemporary School Psychology, 2022
Multi-tiered systems of support (MTSS) provide instruction and intervention to all students in schools. However, when many students within a setting demonstrate reading difficulties, there is likely a tier 1 problem which makes it infeasible to implement tier 2 or tier 3 interventions with large numbers of students due to limited resources. The…
Descriptors: Reading Instruction, Reading Difficulties, Elementary School Students, Grade 3
Denise Deen – ProQuest LLC, 2024
The success of universities resonates with the employees who interact daily with external customers (Pongton & Suntrayuth, 2019). Many universities have altered or are trying to adjust to the fluctuating environment as they reorganize their structure and put more importance on improving their performance (Camilleri, 2021). Employee performance…
Descriptors: Program Evaluation, Health Education, Wellness, Private Colleges
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Student, Sanford R. – Educational Researcher, 2022
Empirical growth benchmarks, as introduced by Hill, Bloom, Black, and Lipsey (2008), are a well-known way to contextualize effect sizes in education research. Past work on these benchmarks, both positive and negative, has largely avoided confronting the role of vertical scales, yet technical issues with vertical scales trouble the use of such…
Descriptors: Computer Simulation, Benchmarking, Effect Size, Intervention
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Ian Thacker; Hannah French; Shon Feder – International Journal of Science Education, 2025
Presenting novel numbers about climate change to people after they estimate those numbers can shift their attitudes and scientific conceptions. Prior research suggests that such science learning can be supported by encouraging learners to make use of given benchmark information, however there are several other numerical estimation skills that may…
Descriptors: Climate, Computation, College Students, Hispanic American Students
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Kraft, Matthew A. – Educational Researcher, 2020
Researchers commonly interpret effect sizes by applying benchmarks proposed by Jacob Cohen over a half century ago. However, effects that are small by Cohen's standards are large relative to the impacts of most field-based interventions. These benchmarks also fail to consider important differences in study features, program costs, and scalability.…
Descriptors: Effect Size, Benchmarking, Educational Research, Intervention
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Barclay, Christopher M.; Castillo, Jose; Kincaid, Don – Journal of Positive Behavior Interventions, 2022
In U.S. schools, Black and Latinx youth receive disciplinary action at rates greater than their White peers. In the context of systemic racism in the United States, proposed systemic solutions such as school-wide positive behavioral interventions and supports (SWPBIS) should be evaluated for their effectiveness in producing more equitable school…
Descriptors: Benchmarking, Equal Education, Positive Behavior Supports, Intervention
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Tabu Winslow Morris – Teaching and Learning Excellence through Scholarship, 2022
Does a student's high school grade point average (HSGPA) of 2.5 or greater determine or predict a successful post-secondary enrollment? For this research, historical data from the 2015-2021 cohorts of Upward Bound Catonsville (UBC) scholars were retrieved from the UBC Community College of Baltimore County (CCBC) Blumen Database report. To ensure…
Descriptors: Grade Point Average, College Admission, High School Graduates, Community College Students
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Van Norman, Ethan R.; Nelson, Peter M.; Klingbeil, David A. – Psychology in the Schools, 2020
A fundamental assumption of multi-tiered systems of support is the bidirectional movement of students between tiers. In comparison to research on when to intensify instruction, less attention has been paid to the validity of decisions to exit students from supplemental supports. We used data from 554 third-grade students who met the criteria to be…
Descriptors: Intervention, Comparative Analysis, Reading Instruction, Decision Making
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Gingerich, Andrea; Schokking, Edward; Yeates, Peter – Advances in Health Sciences Education, 2018
Recent literature places more emphasis on assessment comments rather than relying solely on scores. Both are variable, however, emanating from assessment judgements. One established source of variability is "contrast effects": scores are shifted away from the depicted level of competence in a preceding encounter. The shift could arise…
Descriptors: Evaluation Methods, Scores, Intervention, Schemata (Cognition)
Utah State Board of Education, 2023
The Early Literacy Program focuses on the development of early literacy skills, with additional emphasis placed on intervention for students at risk of not meeting grade-based reading benchmarks. Resources available to aid these students include interventions and supports for students in grades kindergarten through third grade, standards and…
Descriptors: Emergent Literacy, Skill Development, Literacy, Benchmarking
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