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Direct linkFilderman, Marissa J.; Austin, Christy R.; Toste, Jessica R. – Intervention in School and Clinic, 2019
The process of implementing intensive reading interventions using data-based decision-making (DBDM) becomes increasingly challenging as students move into the secondary grades and reading tasks correspondingly become more complex. This article provides teachers with guidelines to support effective implementation of DBDM for students with or at…
Descriptors: Data Use, Reading Difficulties, At Risk Students, Secondary School Teachers
Download full textReckase, Mark D. – 1979
This paper describes two procedures for making binary classification decisions using tailored testing: the sequential probability ratio test (SPRT) and a Bayesian decision procedure. The first procedure described, the SPRT, was developed by Wald for quality control work. It has not been widely applied for testing applications because the…
Descriptors: Adaptive Testing, Bayesian Statistics, Computer Assisted Testing, Criterion Referenced Tests
Bergstrom, Betty A.; Lunz, Mary E. – 1991
The level of confidence in pass/fail decisions obtained with computer adaptive tests (CATs) was compared to decisions based on paper-and-pencil tests. Subjects included 645 medical technology students from 238 educational programs across the country. The tests used in this study constituted part of the subjects' review for the certification…
Descriptors: Adaptive Testing, Certification, Comparative Testing, Computer Assisted Testing
Huynh, Huynh; Saunders, Joseph C. – 1980
A basic technical framework is provided for the design and use of mastery tests. The Mastery Testing Project (MTP) prepared this framework using advanced mathematics supplemented with computer simulation based on real test data collected by the South Carolina Statewide Testing Program. The MTP focused on basic technical issues encountered in using…
Descriptors: Ability Identification, Annotated Bibliographies, Bayesian Statistics, Computer Assisted Testing
Frick, Theodore W. – 1986
The sequential probability ratio test (SPRT), developed by Abraham Wald, is one statistical model available for making mastery decisions during computer-based criterion referenced tests. The predictive validity of the SPRT was empirically investigated with two different and relatively large item pools with heterogeneous item parameters. Graduate…
Descriptors: Achievement Tests, Adaptive Testing, Classification, Comparative Analysis
