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Kylie Gorney; Sandip Sinharay – Educational and Psychological Measurement, 2025
Test-takers, policymakers, teachers, and institutions are increasingly demanding that testing programs provide more detailed feedback regarding test performance. As a result, there has been a growing interest in the reporting of subscores that potentially provide such detailed feedback. Haberman developed a method based on classical test theory…
Descriptors: Scores, Test Theory, Test Items, Testing
Joshua B. Gilbert; Zachary Himmelsbach; Luke W. Miratrix; Andrew D. Ho; Benjamin W. Domingue – Annenberg Institute for School Reform at Brown University, 2025
Value added models (VAMs) attempt to estimate the causal effects of teachers and schools on student test scores. We apply Generalizability Theory to show how estimated VA effects depend upon the selection of test items. Standard VAMs estimate causal effects on the items that are included on the test. Generalizability demands consideration of how…
Descriptors: Value Added Models, Reliability, Effect Size, Test Items
Douglas O. Staiger; Thomas J. Kane; Brian D. Johnson – National Bureau of Economic Research, 2025
Non-experimental value-added models have been shown to yield forecast-unbiased estimates of teacher and school effects. To investigate, we propose a dynamic state-space model of knowledge accumulation, in which test scores are imperfect measures of knowledge, and students receive temporary and persistent shocks to their stock of knowledge each…
Descriptors: Value Added Models, Teacher Effectiveness, Scores, Error of Measurement
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Sarah J. Al-Mazroa Smith; Greg Miller – Journal of Extension, 2024
As markets are changing in the beef industry, producers are seeking new opportunities for value-added beef production. A select group of beef industry experts and experienced beef producers have come to consensus regarding challenges that producers face in the current marketplace. They identified competencies that would be a positive addition to a…
Descriptors: Agricultural Occupations, Extension Education, Industry, Value Added Models
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Chunlei Gao; Jiaxin Zou; Lang Zheng; Ailin Yuan – School Effectiveness and School Improvement, 2025
School effectiveness refers to an educational institution's ability to achieve its predetermined goals, especially regarding student learning outcomes, development, and well-being. Although forming and strengthening partnerships between schools is commonly used to improve school effectiveness, empirical evidence on the connection between school…
Descriptors: Foreign Countries, School Effectiveness, Partnerships in Education, Academic Achievement
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Theodore Kaniuka; Brad Mills; Ashley Johnson; Emily Haire – Journal of Research in Education, 2025
Measuring teacher effectiveness has been debated and studied for numerous years. While some progress has been made, consensus has yet to be reached regarding what it means to be an effective teacher and how to measure effectiveness. This study uses administrative data from North Carolina to assess the relationship between school principal…
Descriptors: Teacher Evaluation, Academic Achievement, Teacher Effectiveness, Value Added Models
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Wen Chiang Lim; Neil T. Heffernan; Adam Sales – Grantee Submission, 2025
As online learning platforms become more popular and deeply integrated into education, understanding their effectiveness and what drives that effectiveness becomes increasingly important. While there is extensive prior research illustrating the benefits of intelligent tutoring systems (ITS) for student learning, there is comparatively less focus…
Descriptors: Intelligent Tutoring Systems, Computer Uses in Education, Prompting, Reports
Joshua B. Gilbert; James G. Soland; Benjamin W. Domingue – Annenberg Institute for School Reform at Brown University, 2025
Value-Added Models (VAMs) are both common and controversial in education policy and accountability research. While the sensitivity of VAMs to model specification and covariate selection is well documented, the extent to which test scoring methods (e.g., mean scores vs. IRT-based scores) may affect VA estimates is less studied. We examine the…
Descriptors: Value Added Models, Tests, Testing, Scoring
Christa Deneault; Evan Riehl – National Bureau of Economic Research, 2025
We provide a comprehensive analysis of a Texas policy that relaxed teacher licensing requirements and created a large for-profit training industry. Using detailed administrative data, we show that for-profit-trained teachers have higher turnover and lower value-added than standard-trained teachers. But the policy significantly increased the supply…
Descriptors: Teacher Certification, State Policy, For Profit Colleges, Teacher Education Programs
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Liz Ebersole; Teresa S. Foulger; Yi Jin; Daniel James Mourlam – British Journal of Educational Technology, 2025
Social media has been shown to be an efficient way to engage in networked participatory scholarship (NPS), which is defined as the use of online social networks to share and further develop scholarship. As leaders in the field, educational technology scholars should be at the forefront of this practice. We used social network analysis (SNA) to…
Descriptors: Social Media, Pedagogical Content Knowledge, Technological Literacy, Scholarship
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Penaloza, Roberto V.; Berends, Mark – Sociological Methods & Research, 2022
To measure "treatment" effects, social science researchers typically rely on nonexperimental data. In education, school and teacher effects on students are often measured through value-added models (VAMs) that are not fully understood. We propose a framework that relates to the education production function in its most flexible form and…
Descriptors: Data, Value Added Models, Error of Measurement, Correlation
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Margarita Pivovarova; Audrey Amrein-Beardsley – Educational Assessment, Evaluation and Accountability, 2024
In this study, we estimated the relationship between two popular measures of teacher effectiveness--teachers' value-added model (VAM) estimates, represented in this study via median growth percentiles (MGPs), and teachers' observational scores, derived from the TAP System for Teacher and Student Advancement. We examined the relationship between…
Descriptors: Teacher Evaluation, Evaluation Methods, Value Added Models, Correlation
Ben Backes; James Cowan; Michael DeArmond; Dan Goldhaber; Roddy Theobald – National Center for Analysis of Longitudinal Data in Education Research (CALDER), 2024
This CALDER research brief builds on pioneering research by the Measures of Effective Teaching Project (Kane et al., 2013) and Jackson (2018) to look at two measures of teacher quality-value-added measures (VAMs) for both test outcomes and non-test outcomes--and what they can tell education leaders about the teacher workforce. Both measures use a…
Descriptors: Teacher Effectiveness, Teacher Competencies, Teacher Competency Testing, Value Added Models
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A. M. Lee; K. Ragupathi – International Journal for Academic Development, 2025
In this study of trust in academic development, we propose a framework to build trust between developers and faculty. This framework was conceptualized while reflecting on a teaching and learning programme and analysing the strategies for building trust that were apparent in its design. Our findings reveal that trust is built and sustained by…
Descriptors: Trust (Psychology), Educational Development, Credibility, Professional Identity
Gilraine, Michael; Petronijevic, Uros; Singleton, John D. – National Bureau of Economic Research, 2023
This paper develops and estimates an empirical framework that evaluates the impact of charter school choice on education quality in the aggregate. We estimate the model using student-level data from North Carolina. We find that North Carolina's lifting of its statewide charter school cap raised the average public school's value-added by around…
Descriptors: School Choice, Charter Schools, Educational Quality, Public Schools
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