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Qiwei He; Qingzhou Shi; Elizabeth L. Tighe – Grantee Submission, 2023
Increased use of computer-based assessments has facilitated data collection processes that capture both response product data (i.e., correct and incorrect) and response process data (e.g., time-stamped action sequences). Evidence suggests a strong relationship between respondents' correct/incorrect responses and their problem-solving proficiency…
Descriptors: Artificial Intelligence, Problem Solving, Classification, Data Use
Jia Liu; Xiangbin Meng; Gongjun Xu; Wei Gao; Ningzhong Shi – Grantee Submission, 2024
In this paper, we develop a mixed stochastic approximation expectation-maximization (MSAEM) algorithm coupled with a Gibbs sampler to compute the marginalized maximum a posteriori estimate (MMAPE) of a confirmatory multidimensional four-parameter normal ogive (M4PNO) model. The proposed MSAEM algorithm not only has the computational advantages of…
Descriptors: Algorithms, Achievement Tests, International Assessment, Foreign Countries
Benjamin W. Domingue; Klint Kanopka; Ben Stenhaug; James Soland; Megan Kuhfeld; Steve Wise; Chris Piech – Grantee Submission, 2021
The more frequent collection of response time data is leading to an increased need for an understanding of how such data can be included in measurement models. Models for response time have been advanced, but relatively limited large-scale empirical investigations have been conducted. We take advantage of a large dataset from the adaptive NWEA MAP…
Descriptors: Achievement Tests, Reaction Time, Reading Tests, Accuracy
Christopher DeCamp; Sarah V. Alfonso; Christopher J. Lonigan – Grantee Submission, 2025
Objective: Executive Function (EF) is thought to be a core component of various cognitive processes. Two common ways to measure EF are through report-based measures that assess EF by collecting informant(s) reports on children's behaviors, and performance-based measures that assess EF through the completion of a task related to EF dimension(s).…
Descriptors: Executive Function, Academic Achievement, Reading Skills, Mathematics Skills
Kaplan, David; Chen, Jianschen; Yavuz, Sinan; Lyu, Weicong – Grantee Submission, 2022
The purpose of this paper is to demonstrate and evaluate the use of "Bayesian dynamic borrowing"(Viele et al, in Pharm Stat 13:41-54, 2014) as a means of systematically utilizing historical information with specific applications to large-scale educational assessments. Dynamic borrowing via Bayesian hierarchical models is a special case…
Descriptors: Bayesian Statistics, Models, Prediction, Accuracy
David Kaplan; Jianshen Chen; Weicong Lyu; Sinan Yavuz – Grantee Submission, 2023
The purpose of this paper is to extend and evaluate methods of "Bayesian historical borrowing" applied to longitudinal data with a focus on parameter recovery and predictive performance. Bayesian historical borrowing allows researchers to utilize information from previous data sources and to adjust the extent of borrowing based on the…
Descriptors: Bayesian Statistics, Longitudinal Studies, Children, Surveys
Clarissa A. Thompson; Pooja G. Sidney; Charles J. Fitzsimmons; Marta Mielicki; Lauren Schiller; Daniel A. Scheibe; John E. Opfer; Robert S. Siegler – Grantee Submission, 2022
In the target article, Xing and colleagues (2021) claimed that 6- to 8-year-olds who spontaneously referenced the midpoint of 0-100 number lines made more accurate magnitude estimates and scored higher on a standardized math achievement test than other children. Unlike previous studies, however, the authors found no relation between accuracy on…
Descriptors: Mathematics Skills, Young Children, Number Concepts, Accuracy
Debra McKeown; Kay Wijekumar; Julie Owens; Karen Harris; Steve Graham; Puiwa Lei; Erin FitzPatrick – Grantee Submission, 2023
Writing is a critical skill for success in all areas of life, but it is one of the least taught skills in school. Teachers consistently report being unprepared to teach writing. In this study, set in a Southern U.S. boomtown, teachers received two days of practice-based professional development for a ten-week implementation of self-regulated…
Descriptors: Faculty Development, Evidence Based Practice, Writing Strategies, Self Management
Sainan Xu; Jing Lu; Jiwei Zhang; Chun Wang; Gongjun Xu – Grantee Submission, 2024
With the growing attention on large-scale educational testing and assessment, the ability to process substantial volumes of response data becomes crucial. Current estimation methods within item response theory (IRT), despite their high precision, often pose considerable computational burdens with large-scale data, leading to reduced computational…
Descriptors: Educational Assessment, Bayesian Statistics, Statistical Inference, Item Response Theory
Min Hyun Oh; Jeannette Mancilla-Martinez; Jin Kyoung Hwang – Grantee Submission, 2023
The unprecedented growth of Spanish-English dual language learners (DLLs) in new destination states (e.g., Georgia, Indiana, South Carolina, Tennessee) calls for better understanding of the relation between their bilingual vocabulary skills and English reading achievement. The current study focused on school-age Spanish-English DLLs (N = 60) in…
Descriptors: Vocabulary Development, Predictor Variables, Bilingual Education, Bilingual Students
Henry May; Aly Blakeney; Pragya Shrestha; Mia Mazal; Nicole Kennedy – Grantee Submission, 2023
To estimate the long-term effects of the Reading Recovery® intervention, a regression discontinuity design (RD) was implemented in a randomly selected sample of Reading Recovery schools during each year of the federally-funded i3 Scale-Up external evaluation (2011-2015) and also in one additional cohort during the 2016-17 school year. Long-term…
Descriptors: Reading Programs, Outcomes of Education, Elementary School Students, Reading Tests
Jonathan Schweig; Megan Kuhfeld; Melissa Kay Diliberti; Andrew McEachin; Louis T. Mariano – Grantee Submission, 2022
School officials regularly use school-aggregate test scores to monitor school performance and make policy decisions. After the U.S. Department of Education offered assessment waivers to all 50 states in 2019-2020, many educators and policymakers advocated for assessment programs to be restarted in the 2020-2021 school year to evaluate the state of…
Descriptors: School Demography, COVID-19, Pandemics, Test Use
Gale A. Mentzer; Peter Paprzycki – Grantee Submission, 2024
Because standardized tests in science are not given to PreK-3 students in Ohio, this report examined the longitudinal effects of learning from a teacher who had participated in the NURTURES professional development program. Specifically, it looked at the effects on students' mathematics and reading learning in grades 2-5 and science learning in…
Descriptors: Longitudinal Studies, Program Evaluation, Program Effectiveness, Faculty Development
Luke C. Miller; Beth E. Schueler – Grantee Submission, 2022
COVID-19 significantly impacted the educational and home environments for students throughout the Commonwealth of Virginia in ways that may have impacted student learning, as measured by standardized exams. We analyze statewide, student-level administrative and assessment data on the Standards of Learning (SOL) reading and math tests for the…
Descriptors: COVID-19, Pandemics, Public Schools, Measurement
Rebecca Dore; Nan Xiao; Robin Sayers; Kelly Purtell; Laura Justice – Grantee Submission, 2023
We examined whether media use measured using time diaries is related to preschoolers' academic and social/behavioral skills. Children (N = 179) completed direct assessments of academic skills in the fall and spring, and teachers reported on social and behavioral skills. Parents/caregivers completed a 24-hr time diary in the spring, from which…
Descriptors: Preschool Children, Interpersonal Competence, Student Behavior, Preschool Education