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Ethan R. Van Norman; Emily R. Forcht – Assessment for Effective Intervention, 2024
Curriculum-based measurement of reading (CBM-R) is a common assessment educators use to monitor student growth in broad reading skills and evaluate the effectiveness of instructional programs. Computer-adaptive tests (CATs), such as Star Reading, have been cited as a viable option to formatively assess reading growth. We used Bayesian…
Descriptors: Reading Improvement, Reading Skills, Reading Achievement, Curriculum Based Assessment
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Dembitzer, Leah; Kettler, Ryan J. – Assessment for Effective Intervention, 2023
To investigate the impact of universal testing accommodations on a computer-based reading comprehension test, accessibility, reliability, and validity were evaluated. Tests with and without accommodations were administered to 131 twelfth-grade students in three U.S. schools. Scores on Curriculum-Based Measurement probes determined groups of…
Descriptors: Access to Education, Testing Accommodations, Reading Comprehension, Reading Tests
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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
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
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VanMeveren, Kalie; Hulac, David; Wollersheim-Shervey, Sarah – Assessment for Effective Intervention, 2020
Reading screening assessments help educators identify students who are at risk of reading and determine the need for intervention and supports. However, some schools screen and assess students more often than needed, and the additional information does not improve the accuracy of decisions. This may be especially true for students at the upper…
Descriptors: Reading Tests, Screening Tests, Elementary School Students, High Stakes Tests
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Ochs, Sarah; Keller-Margulis, Milena A.; Santi, Kristi L.; Jones, John H. – Assessment for Effective Intervention, 2020
Universal screening is the first mechanism by which students are identified as at risk of failure in the context of multitiered systems of supports. This study examined the validity and diagnostic accuracy of a reading computer-adaptive test as a screener to identify state achievement test performance for third through fifth graders (N = 1,696).…
Descriptors: Adaptive Testing, Computer Assisted Testing, Accuracy, Reading Tests
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Mooney, Paul; Lastrapes, RenĂ©e E. – Assessment for Effective Intervention, 2020
We conducted conceptual replications for an online-administered general outcome measure known as critical content monitoring in science. Totally, 547 Grades 4 to 6 students from a rural Louisiana school district participated. Research questions addressed criterion validity, diagnostic accuracy, growth, and social validity concerns. Criterion…
Descriptors: Elementary School Students, Outcome Measures, Science Tests, Outcomes of Education
Clemens, Nathan H.; Hsiao, Yu-Yu; Simmons, Leslie E.; Kwok, Oi-man; Greene, Emily A.; Soohoo, Michelle M.; Henri, Maria A.; Luo, Wen; Prickett, Christopher; Rivas, Brenna; Otaiba, Stephanie Al – Assessment for Effective Intervention, 2019
Although several measures are available for monitoring kindergarten reading progress, little research has directly compared them to determine which are superior in predicting year-end reading skills relative to other measures, and how validity may change across the school year as reading skills develop. A sample of 426 kindergarten students who…
Descriptors: Predictive Validity, Kindergarten, Progress Monitoring, Curriculum Based Assessment
Davison, Mark L.; Biancarosa, Gina; Carlson, Sarah E.; Seipel, Ben; Liu, Bowen – Assessment for Effective Intervention, 2018
The computer-administered Multiple-Choice Online Causal Comprehension Assessment (MOCCA) for Grades 3 to 5 has an innovative, 40-item multiple-choice structure in which each distractor corresponds to a comprehension process upon which poor comprehenders have been shown to rely. This structure requires revised thinking about measurement issues…
Descriptors: Multiple Choice Tests, Computer Assisted Testing, Pilot Projects, Measurement
Kent, Shawn C.; Wanzek, Jeanne; Yun, Joonmo – Assessment for Effective Intervention, 2019
This study examined the predictive validity and classification accuracy of individual- and group-administered screening measures relative to student performance on a year-end state reading assessment in two states. A sample of 321 students was assessed in the areas of word-level and text fluency, as well as reading comprehension in the fall of…
Descriptors: Screening Tests, Grade 4, Elementary School Students, At Risk Students
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Kettler, Ryan J.; Elliott, Stephen N.; Kurz, Alexander; Zigmond, Naomi; Lemons, Christopher J.; Kloo, Amanda; Shrago, Jacqueline; Beddow, Peter A.; Williams, Leila; Bruen, Charles; Lupp, Lynda; Farmer, Jeanie; Mosiman, Melanie – Assessment for Effective Intervention, 2014
Motivated by the multiple-measures clause of recent federal policy regarding student eligibility for alternate assessments based on modified academic achievement standards (AA-MASs), this study examined how scores or combinations of scores from a diverse set of assessments predicted students' end-of-year proficiency status on statewide achievement…
Descriptors: Eligibility, Alternative Assessment, Academic Achievement, Predictive Validity