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Dogan, Esra; Bay, Erdal; Dös, Bülent – International Education Studies, 2023
This study analyzed studies done in Turkey in the context of curriculum evaluation (CE) by asking, "How is it made? The study was carried out in two stages. In the first stage, the document analysis method used 215 theses written between 1991 and 2020 on CE were analyzed according to the "thesis review form." In the second stage,…
Descriptors: Curriculum Evaluation, Evaluation Methods, Foreign Countries, Theses
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Irene Trapero-González; José-María Romero-Rodríguez; Francisco-Domingo Fernández-Martín; Santiago Alonso-García – Knowledge Management & E-Learning, 2025
Educational robotics is presented as a resource increasingly present in the early childhood education stage, allowing the development of STEM competences in a practical and motivating way. Due to the evolution of its use in the classroom, the aim of this paper was to analyse and evaluate research on robotics applied to early childhood education.…
Descriptors: Robotics, STEM Education, Early Childhood Education, Educational Research
Wendy Castillo; Rachel Renbarger; Sasha Mejia-Bradford; Christen Priddie; Juan Cruz; Brein Mosely; Katherine Aragon – Annenberg Institute for School Reform at Brown University, 2025
Education policy research aimed at eliminating racism necessitates methodological innovation that fosters both equity-centered approaches and robust empirical analysis of the systemic nature of racism. Most quantitative research in educational psychology omits the racist environment that students in K-12 education exist in (DeCuir-Gunby &…
Descriptors: Racism, Elementary Secondary Education, Racial Discrimination, Surveys
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Vanessa Hus Bal; Peter Szatmari; Stelios Georgiades; Stephen J. Gentles; Jessica Girault; Patricia Howlin; Meng-Chuan Lai; Virginia Carter Leno; Catherine Lord; Katie Madgett; Stephen J. Sheinkopf; Emily Simonoff; Zachary J. Williams; Lonnie Zwaigenbaum; Alycia Halladay – Autism: The International Journal of Research and Practice, 2025
Longitudinal research in autism has contributed a wealth of knowledge about etiological factors, development from childhood through adulthood, life course changes and needs, as well as longer-term adult outcomes for individuals on the spectrum and their family members. This research is essential to better understand the needs of individuals as…
Descriptors: Autism Spectrum Disorders, Etiology, Longitudinal Studies, Individual Needs
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Olsson, Ulf – Practical Assessment, Research & Evaluation, 2022
We discuss analysis of 5-grade Likert type data in the two-sample case. Analysis using two-sample "t" tests, nonparametric Wilcoxon tests, and ordinal regression methods, are compared using simulated data based on an ordinal regression paradigm. One thousand pairs of samples of size "n"=10 and "n"=30 were generated,…
Descriptors: Regression (Statistics), Likert Scales, Sampling, Nonparametric Statistics
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Chan, Wendy – American Journal of Evaluation, 2022
Over the past ten years, propensity score methods have made an important contribution to improving generalizations from studies that do not select samples randomly from a population of inference. However, these methods require assumptions and recent work has considered the role of bounding approaches that provide a range of treatment impact…
Descriptors: Probability, Scores, Scoring, Generalization
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Feldman, Hannah R. – Australian Journal of Environmental Education, 2022
The "School Strike 4 Climate" is a timely opportunity for education and research sectors to support youth stories in climate change policy, and foster impactful relationships between researchers, teachers and students. But much research in this space has inherent selection biases where youth representation in research is limited by place…
Descriptors: Strikes, Climate, Activism, Youth
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Li, Dongmei; Kapoor, Shalini – Educational Measurement: Issues and Practice, 2022
Population invariance is a desirable property of test equating which might not hold when significant changes occur in the test population, such as those brought about by the COVID-19 pandemic. This research aims to investigate whether equating functions are reasonably invariant when the test population is impacted by the pandemic. Based on…
Descriptors: Test Items, Equated Scores, COVID-19, Pandemics
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Kim, Sooyeon; Walker, Michael E. – Educational Measurement: Issues and Practice, 2022
Test equating requires collecting data to link the scores from different forms of a test. Problems arise when equating samples are not equivalent and the test forms to be linked share no common items by which to measure or adjust for the group nonequivalence. Using data from five operational test forms, we created five pairs of research forms for…
Descriptors: Ability, Tests, Equated Scores, Testing Problems
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Dunn, Peter K.; Marshman, Margaret – Australian Mathematics Education Journal, 2022
The authors discuss the use of surveys for collecting data from a population sample and emphasise the importance of being careful with the language of data collection. [For "The Data Files 5: Graphs for Exploring Relationships," see EJ1355504.]
Descriptors: Surveys, Data Collection, Statistics Education, Foreign Countries
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Shen, Zuchao; Kelcey, Benjamin – Journal of Experimental Education, 2022
Optimal design of multisite randomized trials leverages sampling costs to optimize sampling ratios and ultimately identify more efficient and powerful designs. Past implementations of the optimal design framework have assumed that costs of sampling units are equal across treatment conditions. In this study, we developed a more flexible optimal…
Descriptors: Randomized Controlled Trials, Sampling, Research Design, Statistical Analysis
Yanli Xie – ProQuest LLC, 2022
The purpose of this dissertation is to develop principles and strategies for and identify limitations of multisite cluster randomized trials in the context of partially and fully nested designs. In the first study, I develop principles of estimation, sampling variability, and inference for studies that leverage multisite designs within the context…
Descriptors: Randomized Controlled Trials, Research Design, Computation, Sampling
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David Grant; Claude Messan Setodji; Gerald P. Hunter; Melissa Kay Diliberti; Heather L. Schwartz – RAND Corporation, 2024
The American School District Panel (ASDP) is the newest addition to RAND's American Educator Panels (AEP) and was designed to survey district leaders two times each school year. RAND recruits ASDP members using probabilistic sampling methods, which allow researchers to weight survey results to generalize to the national population of school…
Descriptors: Administrator Surveys, School Districts, School Surveys, Institutional Characteristics
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Heather L. Schwartz; Melissa Kay Diliberti – RAND Corporation, 2024
This is the latest report in the State of the Superintendent series, an annual report intended to provide a reliable, recurring snapshot of the U.S. public school superintendency. Since the American School District Panel began in fall 2020, researchers have periodically surveyed superintendents about their job, focusing on job-related stressors,…
Descriptors: Administrator Surveys, School Districts, School Surveys, Institutional Characteristics
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John R. Donoghue; Carol Eckerly – Applied Measurement in Education, 2024
Trend scoring constructed response items (i.e. rescoring Time A responses at Time B) gives rise to two-way data that follow a product multinomial distribution rather than the multinomial distribution that is usually assumed. Recent work has shown that the difference in sampling model can have profound negative effects on statistics usually used to…
Descriptors: Scoring, Error of Measurement, Reliability, Scoring Rubrics
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