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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
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
Antoine Deeb – ProQuest LLC, 2022
This dissertation consists of three essays that use and develop econometric methods to causally investigate topics in education and development economics. In the first chapter, I develop an econometric framework to correctly and efficiently draw inference in models where estimated value-added (VA) is an explanatory variable (and models where it…
Descriptors: Economics, Methods, Models, Value Added Models
Sinharay, Sandip – Journal of Educational Measurement, 2018
The value-added method of Haberman is arguably one of the most popular methods to evaluate the quality of subscores. The method is based on the classical test theory and deems a subscore to be of added value if the subscore predicts the corresponding true subscore better than does the total score. Sinharay provided an interpretation of the added…
Descriptors: Scores, Value Added Models, Raw Scores, Item Response Theory
Kane, Michael T. – ETS Research Report Series, 2017
By aggregating residual gain scores (the differences between each student's current score and a predicted score based on prior performance) for a school or a teacher, value-added models (VAMs) can be used to generate estimates of school or teacher effects. It is known that random errors in the prior scores will introduce bias into predictions of…
Descriptors: Error of Measurement, Value Added Models, Scores, Teacher Effectiveness
Parsons, Eric; Koedel, Cory; Tan, Li – Journal of Educational and Behavioral Statistics, 2019
We study the relative performance of two policy-relevant value-added models--a one-step fixed effect model and a two-step aggregated residuals model--using a simulated data set well grounded in the value-added literature. A key feature of our data generating process is that student achievement depends on a continuous measure of economic…
Descriptors: Value Added Models, Economically Disadvantaged, Academic Achievement, Low Income Students
Perry, Thomas – Research Papers in Education, 2019
A compositional effect is when pupil attainment is associated with the characteristics of their peers, over and above their own individual characteristics. Pupils at academically selective schools, for example, tend to out-perform similar-ability pupils who are educated with mixed-ability peers. Previous methodological studies however have shown…
Descriptors: Value Added Models, Correlation, Individual Characteristics, Peer Influence
Amrein-Beardsley, Audrey; Pivovarova, Margarita; Geiger, Tray J. – Phi Delta Kappan, 2016
Being an expert involves explaining how things are supposed to work, and, perhaps more important, why things might not work as supposed. In this study, researchers surveyed scholars with expertise in value-added models (VAMs) to solicit their opinions about the uses and potential of VAMs for teacher-level accountability purposes (for example, in…
Descriptors: Value Added Models, Scholarship, Expertise, Surveys
Goldhaber, Dan; Startz, Richard – Center for Education Data & Research, 2016
It is common to assume that worker productivity is normally distributed, but this assumption is rarely if ever tested. We estimate the distribution of worker productivity where individual productivity is measured with error, using the productivity of elementary school teachers as an example. Proposals to improve teacher productivity often focus on…
Descriptors: Teacher Effectiveness, Academic Achievement, Productivity, Computation
Castellano, Katherine E.; McCaffrey, Daniel F. – Educational Measurement: Issues and Practice, 2017
Mean or median student growth percentiles (MGPs) are a popular measure of educator performance, but they lack rigorous evaluation. This study investigates the error in MGP due to test score measurement error (ME). Using analytic derivations, we find that errors in the commonly used MGP are correlated with average prior latent achievement: Teachers…
Descriptors: Teacher Evaluation, Teacher Effectiveness, Value Added Models, Achievement Gains
Leckie, George; Goldstein, Harvey – British Educational Research Journal, 2017
Since 1992, the UK Government has published so-called "school league tables" summarising the average General Certificate of Secondary Education (GCSE) "attainment" and "progress" made by pupils in each state-funded secondary school in England. While the headline measure of school attainment has remained the percentage…
Descriptors: Foreign Countries, Achievement Rating, Academic Achievement, Secondary School Students
Spencer, Bryden – ProQuest LLC, 2016
Value-added models are a class of growth models used in education to assign responsibility for student growth to teachers or schools. For value-added models to be used fairly, sufficient statistical precision is necessary for accurate teacher classification. Previous research indicated precision below practical limits. An alternative approach has…
Descriptors: Monte Carlo Methods, Comparative Analysis, Accuracy, High Stakes Tests
Loeb, Susanna; Christian, Michael S.; Hough, Heather J.; Meyer, Robert H.; Rice, Andrew B.; West, Martin R. – Policy Analysis for California Education, PACE, 2018
Measures of school-level growth in student outcomes are common tools used to assess the impacts of schools. The vast majority of these measures are based on standardized tests, even though emerging evidence demonstrates the importance of social-emotional skills (SEL). This paper uses the first large-scale panel surveys of students on SEL to…
Descriptors: Social Development, Emotional Development, Academic Achievement, Self Efficacy