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Showing 1 to 15 of 54 results Save | Export
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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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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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Kayla V. Campaña; Benjamin G. Solomon – Assessment for Effective Intervention, 2025
The purpose of this study was to compare the classification accuracy of data produced by the previous year's end-of-year New York state assessment, a computer-adaptive diagnostic assessment ("i-Ready"), and the gating combination of both assessments to predict the rate of students passing the following year's end-of-year state assessment…
Descriptors: Accuracy, Classification, Diagnostic Tests, Adaptive Testing
Backes, Ben; Cowan, James – National Center for Analysis of Longitudinal Data in Education Research (CALDER), 2020
Prior work has documented a substantial penalty associated with taking the Partnership for Assessment of Readiness for College and Careers (PARCC) online relative to on paper (Backes & Cowan, 2019). However, this penalty does not necessarily make online tests less useful. For example, it could be the case that computer literacy skills are…
Descriptors: Predictive Validity, Test Validity, Computer Assisted Testing, Comparative Analysis
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Thomas, Asia S.; January, Stacy-Ann A. – Assessment for Effective Intervention, 2021
Educators use universal screening to identify students who may be at risk for not meeting proficiency on the state assessment. Given the potential high-stakes of state tests, using accurate screeners is critical. Independent research is emerging on screeners such as the Measures of Academic Progress (MAP), a computer adaptive test, and the…
Descriptors: Reading Tests, Screening Tests, Test Validity, Accuracy
Kaitlin A. Hill – ProQuest LLC, 2021
This study was an initial psychometric investigation of the Universal Behavior Screener (UBS), a nine-item screening measure developed by psychologists within the Hawai'i Department of Education (HIDOE) to identify elementary school youth at risk for social, emotional, and behavioral concerns. Data from nine teachers reporting on 230 students at…
Descriptors: Screening Tests, Psychometrics, Elementary School Students, At Risk Students
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Anselmo, Giancarlo A.; Yarbrough, Jamie L.; Tran, Van Vi N. – Journal of Psychoeducational Assessment, 2021
This study analyzed the relationship between benchmark scores from the newly published Dynamic Indicators of Basic Early Literacy Skills Math (i.e., Acadience™) math probes and student performance on math and reading sections of a state-mandated high-stakes test. Participants were 420 students enrolled in third, fourth, and fifth grades in a rural…
Descriptors: Elementary School Students, Mathematics Tests, Benchmarking, High Stakes Tests
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Primi, Ricardo; De Fruyt, Filip; Santos, Daniel; Antonoplis, Stephen; John, Oliver P. – International Journal of Testing, 2020
What type of items, keyed positively or negatively, makes social-emotional skill or personality scales more valid? The present study examines the different criterion validities of true- and false-keyed items, before and after correction for acquiescence. The sample included 12,987 children and adolescents from 425 schools of the State of São Paulo…
Descriptors: Social Development, Emotional Development, Rating Scales, Test Validity
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Naser, Shereen C.; Dever, Bridget V. – Journal of Psychoeducational Assessment, 2020
Universal screening for behavioral and emotional risk is an important part of implementing multi-tiered behavioral supports in schools. The current study adds to our understanding of universal screening by examining teacher and student reports of behavioral and emotional risk. Participants included 73 fourth-grade students and 4 teachers in an…
Descriptors: Screening Tests, Behavior Rating Scales, Test Reliability, Test Validity
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Bastianello, Tamara; Brondino, Margherita; Persici, Valentina; Majorano, Marinella – Journal of Research in Childhood Education, 2023
The present contribution aims at presenting an assessment tool (i.e., the TALK-assessment) built to evaluate the language development and school readiness of Italian preschoolers before they enter primary school, and its predictive validity for the children's reading and writing skills at the end of the first year of primary school. The early…
Descriptors: Literacy, Computer Assisted Testing, Italian, Language Acquisition
Lane, Kathleen Lynne; Oakes, Wendy Peia; Cantwell, Emily D.; Common, Eric A.; Royer, David J.; Leko, Melinda M.; Schatschneider, Christopher; Menzies, Holly Mariah; Buckman, Mark Matthew; Allen, Grant Edmund – Journal of Emotional and Behavioral Disorders, 2019
In this article, we examined predictive validity of "Student Risk Screening Scale--Internalizing and Externalizing" (SRSS-IE) scores for use with elementary-age students (N = 4,465) from 14 elementary schools. Results indicated elementary school students with high levels of risk according to fall SRSS-IE scores--especially those with…
Descriptors: Predictive Validity, Elementary School Students, At Risk Students, Screening Tests
Lane, Kathleen Lynne; Oakes, Wendy Peia; Cantwell, Emily D.; Common, Eric A.; Royer, David J.; Leko, Melinda M.; Schatschneider, Christopher; Menzies, Holly Mariah; Buckman, Mark Matthew; Allen, Grant Edmund – Grantee Submission, 2019
In this article we examined predictive validity of Student Risk Screening Scale for Internalizing and Externalizing (SRSS-IE) scores for use with elementary-age students (N = 4,465) from 14 elementary schools. Results indicated elementary school students with high levels of risk according to fall SRSS-IE scores -- especially those with…
Descriptors: Predictive Validity, Elementary School Students, At Risk Students, Screening Tests
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Whitley, Samuel F.; Cuenca-Carlino, Yojanna – Assessment for Effective Intervention, 2020
Many schools attempt to identify and service students at risk for poor mental health outcomes within a multi-tiered system of support (MTSS). Universal screening within a MTSS requires technically adequate tools. The Social, Academic, and Emotional Behavior Risk Screener (SAEBRS) has been put forth as a technically adequate screener. Researchers…
Descriptors: Screening Tests, At Risk Persons, Test Validity, Test Reliability
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Stutz, Franziska; Schaffner, Ellen; Schiefele, Ulrich – Journal of Research in Reading, 2017
In order to initiate more research on the role of reading motivation during the initial stages of learning to comprehend texts, we developed the "Reading Motivation Questionnaire for Elementary Students" (RMQ-E). The sample comprised 1497 elementary students in Grades 1-3. By means of exploratory and confirmatory factor analyses, three…
Descriptors: Questionnaires, Reading Motivation, Elementary School Students, Test Validity
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Shapiro, Valerie B.; Kim, B. K. Elizabeth; Robitaille, Jennifer L.; LeBuffe, Paul A. – School Psychology Quarterly, 2017
The Devereux Student Strengths Assessment Mini (DESSA-Mini; Naglieri, LeBuffe, & Shapiro, 2011/2014) was designed to overcome practical obstacles to universal prevention screening. This article seeks to determine whether an entirely strength-based, 8-item screening instrument achieves technical accuracy in routine practice. Data come from a…
Descriptors: Measures (Individuals), Screening Tests, Prevention, Accuracy
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