Journal ArticleDOI
Performance Trajectories and Performance Gaps as Achievement Effect-Size Benchmarks for Educational Interventions
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TLDR
In this paper, two complementary approaches to developing empirical benchmarks for achievement effect sizes in educational interventions are explored, characterizing the natural developmental progress in achievement made by students from one year to the next as effect sizes.Abstract:
Two complementary approaches to developing empirical benchmarks for achievement effect sizes in educational interventions are explored. The first approach characterizes the natural developmental progress in achievement made by students from one year to the next as effect sizes. Data for seven nationally standardized achievement tests show large annual gains in the early elementary grades followed by gradually declining gains in later grades. A given intervention effect will therefore look quite different when compared to the annual progress for different grade levels. The second approach explores achievement gaps for policy-relevant subgroups of students or schools. Data from national- and district-level achievement tests show that, when represented as effect sizes, student gaps are relatively small for gender and much larger for economic disadvantage and race/ethnicity. For schools, the differences between weak schools and average schools are surprisingly modest when expressed as student-level e...read more
Citations
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The dependability of behavioral measurements: theory of generalizability for scores and profiles
TL;DR: The dependability of behavioral measurements: theory of generalizability for scores and profiles is studied to establish whether these measurements can be trusted to be reliable in the real world.
Journal ArticleDOI
Empirical Benchmarks for Interpreting Effect Sizes in Research
TL;DR: This article developed empirical benchmarks of comparison that reflect the nature of the intervention being evaluated, its target population, and the outcome measure or measures being used to assess effect size measures for educational interventions designed to improve student academic achievement.
Journal ArticleDOI
Learning loss due to school closures during the COVID-19 pandemic.
TL;DR: This paper evaluated the effect of school closures on primary school performance using exceptionally rich data from The Netherlands (n ≈ 350,000) using the fact that national examinations took place before and after lockdown and compare progress during this period to the same period in the 3 previous years.
Journal ArticleDOI
Assessing the Contribution of Distributed Leadership to School Improvement and Growth in Math Achievement
Ronald H. Heck,Philip Hallinger +1 more
TL;DR: In this article, a longitudinal study examines the effects of distributed leadership on school improvement and growth in student math achievement in 195 elementary schools in one state over a 4-year period.
Journal ArticleDOI
The Effectiveness and Ease of Implementation of an Academic Vocabulary Intervention for Linguistically Diverse Students in Urban Middle Schools
TL;DR: This article evaluated the implementation and effectiveness of an academic vocabulary program designed for use in mainstream middle school classrooms with high proportions of language minority learners and found that the program resulted in significant effects on several aspects of vocabulary knowledge, including meanings of taught words, morphological awareness, and the word meanings as presented in expository text.
References
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Book
Statistical Power Analysis for the Behavioral Sciences
TL;DR: The concepts of power analysis are discussed in this paper, where Chi-square Tests for Goodness of Fit and Contingency Tables, t-Test for Means, and Sign Test are used.
Book
Statistical Methods for Meta-Analysis
Larry V. Hedges,Ingram Olkin +1 more
TL;DR: In this article, the authors present a model for estimating the effect size from a series of experiments using a fixed effect model and a general linear model, and combine these two models to estimate the effect magnitude.
Book
Practical Meta-Analysis
Mark W. Lipsey,David B. Wilson +1 more
TL;DR: This paper presents a meta-analysis procedure called “Meta-Analysis Interpretation for Meta-Analysis Selecting, Computing and Coding the Effect Size Statistic and its applications to Data Management Analysis Issues and Strategies.