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Sam Choo; Reagan Mergen; Jechun An; Haoran Li; Xuejing Liu; Martin Odima; Linda J. Gassaway – Grantee Submission, 2025
The importance of mathematical problem solving (MPS) has been widely recognized. While there has been significant progress in developing and studying interventions to support teaching and learning MPS for students with disabilities, the research on how to accurately and effectively assess the impact of those interventions has lagged, leaving a gap…
Descriptors: Mathematics Skills, Problem Solving, Student Evaluation, Evaluation Methods
Peer reviewedDongho Shin – Grantee Submission, 2024
We consider Bayesian estimation of a hierarchical linear model (HLM) from small sample sizes. The continuous response Y and covariates C are partially observed and assumed missing at random. With C having linear effects, the HLM may be efficiently estimated by available methods. When C includes cluster-level covariates having interactive or other…
Descriptors: Bayesian Statistics, Computation, Hierarchical Linear Modeling, Data Analysis
Du, Han; Enders, Craig; Keller, Brian; Bradbury, Thomas N.; Karney, Benjamin R. – Grantee Submission, 2022
Missing data are exceedingly common across a variety of disciplines, such as educational, social, and behavioral science areas. Missing not at random (MNAR) mechanism where missingness is related to unobserved data is widespread in real data and has detrimental consequence. However, the existing MNAR-based methods have potential problems such as…
Descriptors: Bayesian Statistics, Data Analysis, Computer Simulation, Sample Size
Ke-Hai Yuan; Zhiyong Zhang; Lijuan Wang – Grantee Submission, 2024
Mediation analysis plays an important role in understanding causal processes in social and behavioral sciences. While path analysis with composite scores was criticized to yield biased parameter estimates when variables contain measurement errors, recent literature has pointed out that the population values of parameters of latent-variable models…
Descriptors: Structural Equation Models, Path Analysis, Weighted Scores, Comparative Testing
T. S. Kutaka; P. Chernyavskiy; J. Sarama; D. H. Clements – Grantee Submission, 2023
Investigators often rely on the proportion of correct responses in an assessment when describing the impact of early mathematics interventions on child outcomes. Here, we propose a shift in focus to the relative sophistication of problem-solving strategies and offer methodological guidance to researchers interested in working with strategies. We…
Descriptors: Learning Trajectories, Problem Solving, Mathematics Instruction, Early Intervention
Clark McKown; Nicole Russo-Ponsaran; Matthew Wronski; Ashley Karls – Grantee Submission, 2025
This study describes the rationale, design, development, and technical properties of SELweb MS, a direct assessment of social and emotional competencies in middle school students. Assessment and item design were iteratively developed with input from youth and experts to measure five domains: Self-Awareness, Self-Management, Social Awareness,…
Descriptors: Psychometrics, Social Emotional Learning, Middle School Students, Correlation
Baraldi Cunha, Andrea; Babik, Iryna; Koziol, Natalie A.; Hsu, Lin-Ya; Nord, Jayden; Harbourne, Regina T.; Westcott-McCoy, Sarah; Dusing, Stacey C.; Bovaird, James A.; Lobo, Michele A. – Grantee Submission, 2021
Purpose: To evaluate the validity, reliability, and sensitivity of the novel Means-End Problem-Solving Assessment Tool (MEPSAT). Methods: Children with typical development and those with motor delay were assessed throughout the first 2 years of life using the MEPSAT. MEPSAT scores were validated against the cognitive and motor subscales of the…
Descriptors: Problem Solving, Early Intervention, Evaluation Methods, Motor Development
Rahimi, Seyedahmad; Shute, Valerie; Zhang, Qian – Grantee Submission, 2021
Persistence is an important part of student success--both in and out of school. To enhance persistence, we first need to assess it accurately. Digital games can be used as vehicles for measuring and enhancing persistence. The purpose of this study is to test the effects of (a) game-level characteristics (i.e., game mechanics and conceptual…
Descriptors: Educational Games, Computer Games, Game Based Learning, Problem Solving
Lloyd, Blair P.; Randall, Kayla R.; Weaver, Emily S.; Staubitz, Johanna L.; Parikh, Naomi – Grantee Submission, 2019
Although functional analysis is a powerful tool for testing the function of challenging behavior, it is not always feasible or appropriate to include as a component of functional behavior assessment (FBA). Alternative experimental analysis methods are needed to inform individualized interventions in schools, particularly for students who engage in…
Descriptors: Functional Behavioral Assessment, Behavior Problems, Student Behavior, Reinforcement
Hughes, Katherine L.; Miller, Trey; Reese, Kelly – Grantee Submission, 2021
This report from the Career and Technical Education (CTE) Research Network Lead team provides final results from an evaluability assessment of CTE programs that feasibly could be evaluated using a rigorous experimental design. Evaluability assessments (also called feasibility studies) are used in education and other fields, such as international…
Descriptors: Program Evaluation, Vocational Education, Evaluation Methods, Educational Research
Five Direct Behavior Rating Multi-Item Scales: Sensitivity to the Effects of Classroom Interventions
Matta, Michael; Volpe, Robert J.; Briesch, Amy M.; Owens, Julie Sarno – Grantee Submission, 2020
Direct Behavior Rating (DBR) is a tool designed for the assessment of behavioral changes over time. Unlike methods for summative evaluations, the development of progress monitoring tools requires evaluation of sensitivity to change. The present study aimed to evaluate this psychometric feature of five newly developed DBR Multi-Item Scales…
Descriptors: Behavior Rating Scales, Student Behavior, Progress Monitoring, Psychometrics
Dale Walker; Jay Buzhardt; Fan Jia; Alana Schnitz; Dwight W. Irvin; Charles R. Greenwood – Grantee Submission, 2022
Engaging, focusing, and persisting in the completion of tasks are among the skills needed for school success. Tracking whether a child is learning cognitive problem-solving skills is essential in knowing if they are acquiring skills important for development and school readiness; and if not, how they are responding to early intervention. Use of…
Descriptors: Problem Solving, Infants, Toddlers, School Readiness
Sinharay, Sandip – Grantee Submission, 2017
Wollack, Cohen, and Eckerly (2015) suggested the "erasure detection index" (EDI) to detect fraudulent erasures for individual examinees. Wollack and Eckerly (2017) extended the EDI to detect fraudulent erasures at the group level. The EDI at the group level was found to be slightly conservative. This paper suggests two modifications of…
Descriptors: Deception, Identification, Testing Problems, Cheating
Andrews-Todd, Jessica; Jackson, G. Tanner; Kurzum, Christopher – Grantee Submission, 2019
Collaborative problem solving (CPS) is an important 21st-century skill for academic and career success, and as a result, there is increased interest among businesses and educational institutions in the assessment and development of CPS skills. CPS skills are difficult to measure using traditional forms of assessment, and that difficulty has led to…
Descriptors: Problem Solving, 21st Century Skills, Academic Achievement, Cooperation
Heather L. McDaniel; Summer S. Braun; Jessika H. Bottiani; Danielle De Lucia; Patrick H. Tolan; Catherine P. Bradshaw – Grantee Submission, 2022
Classroom management practices are critical to the success of teachers and students, and a growing number of programs have been developed to improve these practices. However, there has been less investigation into observational tools to assess classroom management and explore whether it can be measured consistently by observers across elementary,…
Descriptors: Comparative Analysis, Classroom Observation Techniques, Elementary School Teachers, Middle School Teachers
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