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Dallas Horne – ProQuest LLC, 2024
Education reform in the United States is heavily regulated and has undergone various iterations in the past several decades. With each passing legislation, government mandates and educational initiatives become the focus of reform. School districts must constantly find ways to keep up with increasing state and federal accountability standards.…
Descriptors: Achievement Tests, Predictive Validity, Correlation, Scores
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Matta, Michael; Mercer, Sterett H.; Keller-Margulis, Milena A. – School Psychology, 2023
Recent advances in automated writing evaluation have enabled educators to use automated writing quality scores to improve assessment feasibility. However, there has been limited investigation of bias for automated writing quality scores with students from diverse racial or ethnic backgrounds. The use of biased scores could contribute to…
Descriptors: Bias, Automation, Writing Evaluation, Scoring
Michael Matta; Sterett H. Mercer; Milena A. Keller-Margulis – Grantee Submission, 2023
Recent advances in automated writing evaluation have enabled educators to use automated writing quality scores to improve assessment feasibility. However, there has been limited investigation of bias for automated writing quality scores with students from diverse racial or ethnic backgrounds. The use of biased scores could contribute to…
Descriptors: Bias, Automation, Writing Evaluation, Scoring
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Javier Del Olmo-Muñoz; Pascual D. Diago; David Arnau; David Arnau-Blasco; José Antonio González-Calero – ZDM: Mathematics Education, 2024
This research, following a sequential mixed-methods design, delves into metacognitive control in problem solving among 5- to 6-year-olds, using two floor-robot environments. In an initial qualitative phase, 82 pupils participated in tasks in which they directed a floor robot to one of two targets, with the closer target requiring more cognitive…
Descriptors: Elementary School Students, Metacognition, Robotics, Computer Simulation
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Schoefl, Martin; Seifert, Susanne; Steinmair, Gabriele; Weber, Christoph – Journal of Psychoeducational Assessment, 2023
Rapid automatized naming (RAN) powerfully predicts word-level reading fluency in the first 2 years of school as well as further reading development. Here, we analyze various RAN stimuli (objects and digits) and oral/silent word reading (OWR/SWR) modalities to find feasible measures for predicting early reading development. The RAN performances of…
Descriptors: Naming, Reading Fluency, Oral Reading, Grade 1
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Kathleen Lynne Lane; Wendy Peia Oakes; Mark Matthew Buckman; Nathan Allen Lane; Katie Scarlett Lane; Kandace Fleming; Rebecca E. Swinburne Romine; Rebecca L. Sherod; Chi-Ning Chang; Emily Dawn Cantwell – Behavioral Disorders, 2024
In this article, we examined predictive validity of the newly defined "Student Risk Screening Scale--Internalizing and Externalizing" (SRSS-IE 9, with nine items) when used by teachers for the first time, with a sample of 24,535 elementary students from 74 schools in four U.S. geographic regions. Results indicated fall externalizing and…
Descriptors: Screening Tests, Predictive Validity, At Risk Students, Scores
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Gregory, Camara; Graybill, Emily C.; Barger, Brian; Roach, Andrew T.; Lane, Kathleen – Journal of Emotional and Behavioral Disorders, 2021
Schools have become the most common setting for youth to receive additional supports--including access to mental health services serving as an entry point for identification and subsequent provision of these services. Many schools rely on office discipline referral (ODR) or suspension data as informal screeners for students who may need additional…
Descriptors: Predictive Validity, At Risk Students, Screening Tests, Discipline
Michael Matta; Milena A. Keller-Margulis; Sterett H. Mercer – Grantee Submission, 2022
Although researchers have investigated technical adequacy and usability of written-expression curriculum-based measures (WE-CBM), the economic implications of different scoring approaches have largely been ignored. The absence of such knowledge can undermine the effective allocation of resources and lead to the adoption of suboptimal measures for…
Descriptors: Cost Effectiveness, Scoring, Automation, Writing Tests
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Laura A. Outhwaite; Pirjo Aunio; Jaimie Ka Yu Leung; Jo Van Herwegen – Educational Psychology Review, 2024
Successful early mathematical development is vital to children's later education, employment, and wellbeing outcomes. However, established measurement tools are infrequently used to (i) assess children's mathematical skills and (ii) identify children with or at-risk of mathematical learning difficulties. In response, this pre-registered systematic…
Descriptors: Mathematics Tests, Screening Tests, Mathematics Skills, At Risk Students
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Laranjeira, Márcia; Teixeira, Maria Odília – International Journal of School & Educational Psychology, 2023
This research aims to validate the Portuguese version of the Teacher Feedback Scale (TFS) in a sample of 628 children from third and fourth grade. Teacher feedback is a crucial factor in child development, with an impact in students' motivation and learning. It provides daily cognitive and emotional information about children's academic…
Descriptors: Foreign Countries, Measures (Individuals), Feedback (Response), Elementary School Students
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Klingbeil, David A.; Osman, David J.; Carrigan, Jamison E.; Paly, Benjamin J.; Berry-Corie, Kimberly – School Psychology, 2021
Multiple popular math curriculum-based measures have recently been revised in ways that may improve their utility for universal screening. However, the applied use of these tools has yet to be evaluated independently. We conducted a retrospective analysis of the diagnostic accuracy of prior year statewide test results and aimswebPlus math…
Descriptors: Screening Tests, Elementary School Students, Middle School Students, Curriculum Based Assessment
Christina Weiland; Lillie Moffett; Paola Guerrero Rosada; Amanda Weissman; Kehui Zhang; Michelle Maier; Catherine Snow; Meghan McCormick; JoAnn Hsueh; Jason Sachs – Grantee Submission, 2023
Classroom-level quality measures are widely used in early education settings but may mask important variation in learning experiences across children in the same classroom. This study investigates this possibility using detailed data from an observational measure of individual children's learning experiences--Individualizing Student Instruction…
Descriptors: Learning Experience, Individual Differences, Individualized Instruction, Public Schools
Carla Wood; Miguel Garcia-Salas; Christopher Schatschneider – Grantee Submission, 2023
Purpose: The aim of this study was to advance the analysis of written language transcripts by validating an automated scoring procedure using an automated open-access tool for calculating morphological complexity (MC) from written transcripts. Method: The MC of words in 146 written responses of students in fifth grade was assessed using two…
Descriptors: Automation, Computer Assisted Testing, Scoring, Computation
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Garret J. Hall; Emma Doyle; Edgardo Mejias Vazquez – Learning Disabilities Research & Practice, 2025
Using data from students in Grades 3-8 in school years 2018-2019 (N = 1,871) and 2021-2022 (N = 1,740), we examined the strength of fall math screening using Measures of Academic Progress (MAP) for predicting end-of-year state math assessment performance levels and whether this prediction varied across English language proficiency (ELP). In…
Descriptors: Screening Tests, Mathematics Tests, Achievement Tests, Mathematics Achievement
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Goulet, Julie; Archambault, Isabelle; Morizot, Julien; Olivier, Elizabeth; Tardif-Grenier, Kristel – Journal of Psychoeducational Assessment, 2023
Studies highlighting the importance of parental involvement in schooling have multiplied over the past years. However, well-validated tools assessing the different dimensions of parental involvement are lacking, especially when addressing young students' perception of their parents' involvement. This study offers a preliminary validation of the…
Descriptors: Test Validity, Parent Participation, Questionnaires, Student Attitudes
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