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Samira Syal; Marcia Davis; Xiaodong Zhang; Jason Schoeneberger; Samantha Spinney; Douglas J. Mac Iver; Martha Mac Iver – Reading Psychology, 2024
Motivation to read is crucial to improving reading skill. While there is extensive research examining reading motivation among elementary students, with respect to adolescents, research is limited. Employing a person-centered approach can aid in developing a better understanding of adolescent reading motivation and would help address possible…
Descriptors: Reading Motivation, Adolescents, Reading Achievement, High School Students
Samira Syal; Marcia Davis; Xiaodong Zhang; Jason Schoeneberger; Samantha Spinney; Douglas J. Mac Iver; Martha Mac Iver – Grantee Submission, 2023
Motivation to read is crucial to improving reading skill. While there is extensive research examining reading motivation among elementary students, with respect to adolescents, research is limited. Employing a person-centered approach can aid in developing a better understanding of adolescent reading motivation and would help address possible…
Descriptors: Reading Motivation, Adolescents, Reading Achievement, High School Students
Emily R. Forcht; Ethan R. Van Norman – Psychology in the Schools, 2024
The present study compared the diagnostic accuracy of a single computer adaptive test (CAT), Star Reading or Star Math, and a combination of the two in a gated screening framework to predict end-of-year proficiency in reading and math. Participants included 13,009 students in Grades 3-8 who had at least one fall screening score and end-of-year…
Descriptors: Computer Assisted Testing, Adaptive Testing, Diagnostic Tests, Screening Tests
Weiling Li; Aaron Butler; Catherine Oberle; Anabil Munshi; Amy J. Dray – Online Submission, 2023
Edmentum offers a personalized learning platform called Exact Path. This quasi-experimental study, designed to meet ESSA Tier 2 evidence and What Works Clearinghouse standards with reservations, aimed to assess the efficacy of Exact Path in a district from the Midwestern United States. The goal was to provide specific recommendations to educators…
Descriptors: Achievement Tests, Scores, Educational Technology, Reading Achievement
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
Nikola Ebenbeck; Morten Bastian; Andreas Mühling; Markus Gebhardt – Journal of Computer Assisted Learning, 2024
Background: Computerised adaptive tests (CATs) are tests that provide personalised, efficient and accurate measurement while reducing testing time, depending on the desired level of precision. Schools have different types of assessments that can benefit from a significant reduction in testing time to varying degrees, depending on the area of…
Descriptors: Computer Assisted Testing, Elementary Secondary Education, Public Schools, Special Schools
Virginia Clinton-Lisell; Terrill Taylor; Sarah E. Carlson; Mark L. Davison; Ben Seipel – Grantee Submission, 2022
Standardized reading assessments are often used as an admissions criterion for college admittance, however, the relationship and predictive validity of reading assessments to academic achievement remains in question. Through a quantitative review of the literature, we conducted a meta-analysis to examine how well performance on college reading…
Descriptors: Reading Achievement, Reading Comprehension, Reading Tests, Academic Achievement
Virginia Clinton-Lisell; Terrill Taylor; Sarah E. Carlson; Mark L. Davison; Ben Seipel – Journal of College Reading and Learning, 2022
Reading comprehension assessments are used for postsecondary course placement and advising, and they are components of college entrance exams. Therefore, a quantitative understanding of the relationship between reading comprehension assessments and postsecondary academic achievement is needed. To address this need, we conducted a meta-analysis to…
Descriptors: Reading Achievement, Reading Comprehension, Reading Tests, Academic Achievement
Steven J. Carter; Matthew P. Wilcox; Neil J. Anderson – Reading in a Foreign Language, 2023
This research presents a novel reading fluency (rf) measurement formula that accounts for both reading rate and comprehension. Possible formulas were investigated with 68 participants in a strategic reading course in an IEP at a small Pacific Island university. The selected formula's scores demonstrated concurrent validity through strong…
Descriptors: Second Language Learning, Silent Reading, Reading Fluency, Reading Comprehension
Hebbecker, Karin; Förster, Natalie; Forthmann, Boris; Souvignier, Elmar – Journal of Educational Psychology, 2022
The idea of data-based decision-making (DBDM) at the classroom level is that teachers use assessment data to adapt their instruction to students' individual needs and thus improve students' learning progress. In this study, we first investigate this theoretically assumed DBDM process, and second, we evaluate the effectiveness of teacher support on…
Descriptors: Data Use, Evidence Based Practice, Decision Making, Formative Evaluation
Sutter, Claudia C.; Campbell, Laurie O.; Lambie, Glenn W. – Computers in the Schools, 2020
The present study investigated the predictability of a computer-adaptive, curriculum-based reading assessment for measuring second-grade students' overall and comprehension reading achievement on a standardized reading achievement test. Specifically, second-grade student scores (N = 428) of the Istation's Indicators of Progress for Early Reading…
Descriptors: Prediction, Standardized Tests, Reading Tests, Grade 2
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
Ethan R. Van Norman; Emily R. Forcht – Journal of Education for Students Placed at Risk, 2024
This study evaluated the forecasting accuracy of trend estimation methods applied to time-series data from computer adaptive tests (CATs). Data were collected roughly once a month over the course of a school year. We evaluated the forecasting accuracy of two regression-based growth estimation methods (ordinary least squares and Theil-Sen). The…
Descriptors: Data Collection, Predictive Measurement, Predictive Validity, Predictor Variables
Ashley Anne Grant; Michael A. Cook; Steven M. Ross – Center for Research and Reform in Education, 2023
The purpose of this evaluation was to examine the impact of i-Ready Personalized Instruction on reading achievement, as measured by SBA scores. We compared students in schools using i-Ready Personalized Instruction school-wide (Treatment students) to students who only received i-Ready Diagnostic assessments and who were in schools only partially…
Descriptors: Individualized Instruction, Reading Achievement, Influences, Evaluation
Rambo-Hernandez, Karen E.; Makel, Matthew C.; Peters, Scott J.; Worley, Cristina – British Journal of Educational Psychology, 2022
Background: Students vary in their initial achievement when they enter school and their rate of academic growth as they move through school. These differences have implications for classroom instruction and educational policy. Although previous research has examined initial achievement and growth differences, a gap remains in understanding how…
Descriptors: Outcomes of Education, Teaching Methods, Educational Policy, Grade 3

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