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Direct linkRios, Joseph A.; Soland, James – Educational and Psychological Measurement, 2021
As low-stakes testing contexts increase, low test-taking effort may serve as a serious validity threat. One common solution to this problem is to identify noneffortful responses and treat them as missing during parameter estimation via the effort-moderated item response theory (EM-IRT) model. Although this model has been shown to outperform…
Descriptors: Computation, Accuracy, Item Response Theory, Response Style (Tests)
Download full textHe, Wei – NWEA, 2021
New MAP® Growth™ assessments are being developed that administer items more closely matched to the grade level of the student. However, MAP Growth items are calibrated with samples that typically consist of students from a variety of grades, including the target grade to which an item is aligned. While this choice of calibration sample is…
Descriptors: Achievement Tests, Test Items, Instructional Program Divisions, Difficulty Level
Garret J. Hall; Mitchell A. Markham; Meghan McMackin; Elizabeth C. Moore; Craig A. Albers – Grantee Submission, 2022
The current study examined the validity of curriculum-based measures (CBM) in mathematics computation (M-COMP) and oral reading fluency (R-CBM) in predicting spring mathematics and reading performance level and performance risk (>1 SD below the national mean) among students classified as English Learners (ELs). Additionally, the current study…
Descriptors: Elementary School Students, English Language Learners, Language Proficiency, Curriculum Based Assessment
Garret J. Hall; Mitchell A. Markham; Meghan McMackin; Elizabeth C. Moore; Craig A. Albers – School Psychology Review, 2022
The current study examined the validity of curriculum-based measures (CBM) in mathematics computation (M-COMP) and oral reading fluency (R-CBM) in predicting spring mathematics and reading performance level and performance risk (>1 SD below the national mean) among students classified as English Learners (ELs). Additionally, the current study…
Descriptors: Elementary School Students, English Language Learners, Language Proficiency, Curriculum Based Assessment
Soland, James; Thum, Yeow Meng – Journal of Research on Educational Effectiveness, 2022
Sources of longitudinal achievement data are increasing thanks partially to the expansion of available interim assessments. These tests are often used to monitor the progress of students, classrooms, and schools within and across school years. Yet, few statistical models equipped to approximate the distinctly seasonal patterns in the data exist,…
Descriptors: Academic Achievement, Longitudinal Studies, Data Use, Computation
Henner, Jon; Pagliaro, Claudia; Sullivan, Sara Beth; Hoffmeister, Robert – American Annals of the Deaf, 2021
Limited studies exist that connect using signed language with mathematics performance of deaf and hard of hearing children. In the present study, the authors examined 257 participants and compared their results on the Northwest Evaluation Association: Measures of Academic Progress (NWEA MAP) to their results on an assessment of American Sign…
Descriptors: Deafness, Hearing Impairments, Computation, American Sign Language
James Soland; Yeow Meng Thum – Annenberg Institute for School Reform at Brown University, 2019
Effect sizes in the Cohen's d family are often used in education to compare estimates across studies, measures, and sample sizes. For example, effect sizes are used to compare gains in achievement students make over time, either in pre- and post-treatment studies or in the absence of intervention, such as when estimating achievement gaps. However,…
Descriptors: Effect Size, Academic Achievement, Achievement Gains, Gender Differences
