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Sohyun An Kim; Rebecca Gotlieb; Laura V. Rhinehart; Veronica Pedroza; Maryanne Wolf – Journal of Psychoeducational Assessment, 2024
Rapid automatized naming (RAN) is a powerful predictor of reading fluency, and many digitized dyslexia screeners include RAN as an essential component. However, the validity of digitized RAN has not been established. Using a sample of 174 second-graders, this study tested (1) the comparability between paper and digitized versions of RAN and (2)…
Descriptors: Public Schools, Charter Schools, Private Schools, Elementary School Students
Eko Suhartoyo; Rida Afrilyasanti; Nur Mukminatien – Turkish Online Journal of Distance Education, 2025
In this paper, we investigated the impact of an online classroom-based reading assessment on implementing practices in reading instruction among 30 EFL learners in an intermediate reading course at a public university in East Java, Indonesia. Our study aimed to develop an online classroom-based reading assessment and evaluate its efficacy in…
Descriptors: Student Evaluation, Computer Assisted Testing, Reading Tests, Reading Instruction
Van Norman, Ethan R.; Forcht, Emily R. – Assessment for Effective Intervention, 2023
This study explored the validity of growth on two computer adaptive tests, Star Reading and Star Math, in explaining performance on an end-of-year achievement test for a sample of students in Grades 3 through 6. Results from quantile regression analyses indicate that growth on Star Reading explained a statistically significant amount of variance…
Descriptors: Test Validity, Computer Assisted Testing, Adaptive Testing, Grade Prediction
Los, James E.; Witmer, Sara E.; Roseth, Cary J. – School Psychology Review, 2022
Scores from computer-based tests are increasingly used to inform a variety of school- and student-level decisions. An underlying assumption is that the associated scores represent effortful responding by each student with respect to the tasks presented. An innovative method for examining evidence for this assumption involves an examination of item…
Descriptors: Student Motivation, Tests, Middle School Students, Computer Assisted Testing
Nese, Joseph F. T. – AERA Open, 2022
Curriculum-based measurement of oral reading fluency (CBM-R) is used as an indicator of reading proficiency, and to measure at risk students' response to reading interventions to help ensure effective instruction. The purpose of this study was to compare model-based words read correctly per minute (WCPM) scores (computerized oral reading…
Descriptors: Reading Tests, Oral Reading, Reading Fluency, Curriculum Based Assessment
Seifert, Susanne; Paleczek, Lisa – Electronic Journal of e-Learning, 2021
A prerequisite for child reading support at school is adequate assessment. Embedding (repeated) assessment into daily teaching routine is often challenging for teachers in terms of time and organization. The use of digital tools can help teachersin the assessment process (in preparation, evaluation, documentation, etc.). A digital assessment tool…
Descriptors: Computer Assisted Testing, Reading Tests, Reading Comprehension, Grade 3
Nese, Joseph F. T. – Grantee Submission, 2022
Curriculum-based measurement of oral reading fluency (CBM-R) is used as an indicator of reading proficiency, and to measure at risk students' response to reading interventions to help ensure effective instruction. The purpose of this study was to compare model-based words read correctly per minute (WCPM) scores (computerized oral reading…
Descriptors: Reading Tests, Oral Reading, Reading Fluency, Curriculum Based Assessment
Kendeou, Panayiota; McMaster, Kristen L.; Butterfuss, Reese; Kim, Jasmine; Slater, Susan; Bulut, Okan – Assessment for Effective Intervention, 2021
The overall aim of the current investigation was to develop and validate the initial version of the Minnesota Inference Assessment (MIA). MIA is a web-based measure of inference processes in Grades K-2. MIA leverages the affordances of different media to evaluate inference processes in a nonreading context, using age-appropriate fiction and…
Descriptors: Test Construction, Test Validity, Inferences, Computer Assisted Testing
Auphan, Pauline; Ecalle, Jean; Magnan, Annie – Canadian Journal of Learning and Technology, 2020
The aim of this study is to propose advantages provided by computerized tools when assessing reading ability. A new computer-based reading assessment evaluating both word reading and reading comprehension processes was administered to 687 children in primary (N=400) and secondary (N=287) schools. Accuracy (weighted scores) and speed of access…
Descriptors: Computer Assisted Testing, Reading Tests, Reading Achievement, Reading Comprehension
Kendeou, Panayiota; McMaster, Kristen L.; Butterfuss, Reese; Kim, Jasmine; Slater, Susan; Bulut, Okan – Grantee Submission, 2020
The overall aim of the current investigation was to develop and validate the initial version of the Minnesota Inference Assessment (MIA). MIA is a web-based measure of inference processes in K-2. MIA leverages the affordances of different media to evaluate inference processes in a nonreading context, using age-appropriate fiction and nonfiction…
Descriptors: Test Construction, Test Validity, Inferences, Computer Assisted Testing
College Board, 2023
Over the past several years, content experts, psychometricians, and researchers have been hard at work developing, refining, and studying the digital SAT. The work is grounded in foundational best practices and advances in measurement and assessment design, with fairness for students informing all of the work done. This paper shares learnings from…
Descriptors: College Entrance Examinations, Psychometrics, Computer Assisted Testing, Best Practices
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
Goodwin, Amanda; Petscher, Yaacov; Tock, Jamie – Journal of Research in Reading, 2021
Background: Middle school students use the information conveyed by morphemes (i.e., units of meaning such as prefixes, root words and suffixes) in different ways to support their literacy endeavours, suggesting the likelihood that morphological knowledge is multidimensional. This has important implications for assessment. Methods: The current…
Descriptors: Middle School Students, Morphology (Languages), Metalinguistics, Student Evaluation
Exploring the Validity Evidence of a High-Stake, Second Language Reading Test: An Eye-Tracking Study
Lim, Hyojung – Language Testing in Asia, 2020
The current study aims to explore the cognitive validity of the iBT TOEFL reading test by investigating test takers' eye movements on individual items. It is assumed that successful test takers would adopt the intended reading processes, the same types and levels of cognitive processes that they would use for real-world reading tasks. Forty-seven…
Descriptors: Test Validity, High Stakes Tests, Second Language Learning, Language Tests
Goodwin, Amanda P.; Petscher, Yaacov; Tock, Jamie – Grantee Submission, 2021
Background: Middle school students use the information conveyed by morphemes (i.e., units of meaning such as prefixes, root words and suffixes) in different ways to support their literacy endeavours, suggesting the likelihood that morphological knowledge is multidimensional. This has important implications for assessment. Methods: The current…
Descriptors: Morphology (Languages), Morphemes, Middle School Students, Knowledge Level