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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
Hurford, David P.; Wines, Autumn – Australian Journal of Learning Difficulties, 2022
The purpose of the present study was to examine the potential that parents could effectively administer an online dyslexia evaluation tool (ODET) to their children. To this end, four groups consisting of parents and trained staff were compared. Sixty-three children (36 females and 27 males) participated. The children in each group were assessed…
Descriptors: Test Reliability, Computer Assisted Testing, Dyslexia, Screening Tests
Peltier, Corey; Vannest, Kimberly J.; Tomaszewski, Brianne R.; Morin, Kristi; Sallese, Mary Rose; Pulos, Joshua M. – Exceptionality, 2022
The current study examined the criterion validity of a computer adaptive universal screener with an end-of-year state mathematics assessment using extant data provided by a local education agency. Participants included 1,195 third through eighth graders. Correlational analyses were used to report predictive and concurrent validity coefficients for…
Descriptors: Adaptive Testing, Computer Assisted Testing, Screening Tests, Mathematics Tests
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
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
Fragkouli, Konstantina; Antoniou, Faye; Mouzaki, Angeliki; Ralli, Asimina M.; Kokkali, Vasiliki; Alexoudi, Kariofyllia – Reading & Writing Quarterly, 2022
The development of spelling skill is an intricate process for children with or at risk of Specific Learning Disabilities and requires targeted interventions. This problem exacerbates in the Greek orthographic system owning to its high complexity. The current study presents a novel spelling intervention program for Greek 3rd graders at risk of…
Descriptors: Intervention, Spelling, At Risk Students, Reading Fluency
Ginsburg, Herbert P.; Lee, Young-Sun; Pappas, Sandra – ZDM: The International Journal on Mathematics Education, 2016
This paper investigates the power of the computer guided clinical interview (CI) and new curriculum based measurement (CBM) measures to identify and help children at risk of low mathematics achievement. We use data from large numbers of children in Kindergarten through Grade 3 to investigate the construct validity of CBM risk categories. The basic…
Descriptors: Interviews, Curriculum Based Assessment, Evaluation Methods, At Risk Students
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
Kent, Shawn C.; Wanzek, Jeanne; Yun, Joonmo – Grantee Submission, 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 were 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
January, Stacy-Ann A.; Ardoin, Scott P. – Assessment for Effective Intervention, 2015
Curriculum-based measurement in reading (CBM-R) and the Measures of Academic Progress (MAP) are assessment tools widely employed for universal screening in schools. Although a large body of research supports the validity of CBM-R, limited empirical evidence exists supporting the technical adequacy of MAP or the acceptability of either measure for…
Descriptors: Curriculum Based Assessment, Achievement Tests, Educational Assessment, Screening Tests
Clemens, Nathan H.; Hagan-Burke, Shanna; Luo, Wen; Cerda, Carissa; Blakely, Alane; Frosch, Jennifer; Gamez-Patience, Brenda; Jones, Meredith – School Psychology Review, 2015
This study examined the predictive validity of a computer-adaptive assessment for measuring kindergarten reading skills using the STAR Early Literacy (SEL) test. The findings showed that the results of SEL assessments administered during the fall, winter, and spring of kindergarten were moderate and statistically significant predictors of year-end…
Descriptors: Predictive Validity, Computer Assisted Testing, Kindergarten, Grade 1
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
Ubaidullah, Nor Hasbiah Bt.; Hamid, Jamilah – Journal on Educational Psychology, 2012
Currently in Malaysia, schools that conduct the Dyslexia Special Program for dyslexic pupils have to rely on a manual screening instrument, which is cumbersome and slow in diagnosing dyslexic traits in pupils. Thus, this study was carried out to examine prevailing problems that helped in formulating an appropriate solution to overcome existing…
Descriptors: Foreign Countries, Dyslexia, Screening Tests, Computer Assisted Testing
Shapiro, Edward S.; Gebhardt, Sarah N. – School Psychology Review, 2012
This article reported the concurrent, predictive, and diagnostic accuracy of a computer-adaptive test (CAT) and curriculum-based measurements (CBM; both computation and concepts/application measures) for universal screening in mathematics among students in first through fourth grade. Correlational analyses indicated moderate to strong…
Descriptors: Accuracy, Correlation, Computer Assisted Testing, Adaptive Testing
Keiser, Ashley; Reddy, Linda – Journal of Applied School Psychology, 2013
The Pediatric Attention Disorders Diagnostic Screener is a multidimensional, computerized screening tool designed to assess attention and global aspects of executive functioning in children at risk for attention disorders. The screener consists of a semi-structured diagnostic interview, brief parent and teacher rating scales, 3 computer-based…
Descriptors: Screening Tests, Computer Assisted Testing, Children, At Risk Persons
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