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Huang, Lifei; White, Jamison – Journal of School Choice, 2023
This paper expands on previous work on charter school typology and presents disparities in standardized test outcomes across models by using standardized Z-Scores weighted by NAEP performance. Analyses indicate that in ELA, Classical schools have the highest relative performance, followed by Montessori and Art schools. In math, Classical schools…
Descriptors: Charter Schools, Educational Innovation, Models, Standardized Tests
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Shin, Hyo Jeong; Jewsbury, Paul A.; van Rijn, Peter W. – Large-scale Assessments in Education, 2022
The present paper investigates and examines the conditional dependencies between cognitive responses (RA; Response Accuracy) and process data, in particular, response times (RT) in large-scale educational assessments. Using two prominent large-scale assessments, NAEP and PISA, we examined the RA-RT conditional dependencies within each item in the…
Descriptors: Cognitive Processes, Reaction Time, Educational Assessment, Achievement Tests
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Xu, Lihua; Diket, Read; Brewer, Thomas – Arts Education Policy Review, 2018
This article describes a secondary analysis of the National Assessment of Educational Progress 2008 eighth-grade visual arts data (N = 3,912). These assessments occur under government mandate on a periodic schedule and data on the arts were collected in 1997 and again in 2008. The purpose of this study was to predict students' visual art response…
Descriptors: Predictor Variables, Academic Achievement, Least Squares Statistics, Structural Equation Models
Ladner, Matthew; Bedrick, Jason – Heritage Foundation, 2023
Rural students in Arizona enjoy far more education choice options than rural students in any other state. Education has flourished in rural areas under Arizona's robust choice environment just as much as in the remainder of the state. The data could not be clearer: Rural students with expanded opportunities thrive, as do their teachers and…
Descriptors: Rural Schools, Kindergarten, Elementary Secondary Education, School Choice
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Patel, Nirmal; Sharma, Aditya; Shah, Tirth; Lomas, Derek – Journal of Educational Data Mining, 2021
Process Analysis is an emerging approach to discover meaningful knowledge from temporal educational data. The study presented in this paper shows how we used Process Analysis methods on the National Assessment of Educational Progress (NAEP) test data for modeling and predicting student test-taking behavior. Our process-oriented data exploration…
Descriptors: Learning Analytics, National Competency Tests, Evaluation Methods, Prediction
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Bosch, Nigel – Journal of Educational Data Mining, 2021
Automatic machine learning (AutoML) methods automate the time-consuming, feature-engineering process so that researchers produce accurate student models more quickly and easily. In this paper, we compare two AutoML feature engineering methods in the context of the National Assessment of Educational Progress (NAEP) data mining competition. The…
Descriptors: Accuracy, Learning Analytics, Models, National Competency Tests
Pankovits, Tressa – Progressive Policy Institute, 2022
In August, the National Assessment of Education Progress (NAEP) released the grimmest "Nation's Report Card" in 20 years. Between 2020 and 2022, America's students dropped five points in reading and seven points in math. At a time when there is empirical evidence that America's students are struggling -- the NAEP scores are just one…
Descriptors: National Competency Tests, Achievement Gains, Teacher Shortage, Teacher Attitudes
Jing Lu; Chun Wang; Ningzhong Shi – Grantee Submission, 2023
In high-stakes, large-scale, standardized tests with certain time limits, examinees are likely to engage in either one of the three types of behavior (e.g., van der Linden & Guo, 2008; Wang & Xu, 2015): solution behavior, rapid guessing behavior, and cheating behavior. Oftentimes examinees do not always solve all items due to various…
Descriptors: High Stakes Tests, Standardized Tests, Guessing (Tests), Cheating
Reardon, Sean F.; Shear, Benjamin R.; Castellano, Katherine E.; Ho, Andrew D. – Journal of Educational and Behavioral Statistics, 2017
Test score distributions of schools or demographic groups are often summarized by frequencies of students scoring in a small number of ordered proficiency categories. We show that heteroskedastic ordered probit (HETOP) models can be used to estimate means and standard deviations of multiple groups' test score distributions from such data. Because…
Descriptors: Scores, Statistical Analysis, Models, Computation
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Edwards, Cherie D.; Lee, Walter C.; Knight, David B.; Fletcher, Trina; Reid, Karl; Lewis, Racheida – Advances in Engineering Education, 2021
Striving to remain a global leader in innovation, the United States continues prioritizing broadening participation in engineering and other STEM fields. For this reason, STEM outreach programs are increasingly popular and vital. However, few programs offer such outreach experiences at a large, national scale and intentionally situate those…
Descriptors: Summer Programs, Engineering Education, African American Students, Access to Education
Paul E. Peterson; M. Danish Shakeel; Angela K. Dills – Annenberg Institute for School Reform at Brown University, 2023
Chetty et al. (2022) say county density of cross-class friendships (referred to here as "adult-bridging capital") has causal impacts on social mobility within the United States. We instead find that social mobility rates are a function of county density of family capital (higher marriage rates and two-person households), community…
Descriptors: Academic Achievement, Social Mobility, Friendship, Social Capital
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Alexander, Nicola A.; Jang, Sung Tae – Educational Policy, 2020
This article explores the associations between the achievement of economically disadvantaged students and the presence of state policies that include student achievement in teacher evaluations. We looked at student achievement across all 50 states from 2007 through 2013. A simple comparison of states with and without the policy suggested that…
Descriptors: State Policy, Poverty, Academic Achievement, Economically Disadvantaged
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Diket, Read M.; Xu, Lihua; Brewer, Thomas M. – Studies in Art Education: A Journal of Issues and Research in Art Education, 2014
The aspirational model resulted from the authors' secondary analysis of the Mother/Child (M/C) test block from the 2008 National Assessment of Educational Progress restricted data that examined the responses of the national sample of 8th-grade students (n = 1648). This test block presented no artmaking task and consisted of the same 13 questions…
Descriptors: Group Testing, Art Education, Grade 8, National Surveys
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Wang, Ting; Li, Min; Thummaphan, Phonraphee; Ruiz-Primo, Maria Araceli – International Journal of Testing, 2017
Contextualized items have been widely used in science testing. Despite common use of item contexts, how the influence of a chosen context on the reliability and validity of the score inferences remains unclear. We focused on sequential cues of contextual information, referring to the order of events or descriptions presented in item contexts. We…
Descriptors: Science Tests, Cues, Difficulty Level, Test Items
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Ramsay, James O.; Wiberg, Marie – Journal of Educational and Behavioral Statistics, 2017
This article promotes the use of modern test theory in testing situations where sum scores for binary responses are now used. It directly compares the efficiencies and biases of classical and modern test analyses and finds an improvement in the root mean squared error of ability estimates of about 5% for two designed multiple-choice tests and…
Descriptors: Scoring, Test Theory, Computation, Maximum Likelihood Statistics
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