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Truckenmiller, Adrea J.; Petscher, Yaacov; Gaughan, Linda; Dwyer, Ted – Regional Educational Laboratory Southeast, 2016
District and state education leaders frequently use screening assessments to identify students who are at risk of performing poorly on end-of-year achievement tests. This study examines the use of a universal screening assessment of reading skills for early identification of students at risk of low achievement on nationally normed tests of reading…
Descriptors: Prediction, Predictive Validity, Predictor Variables, Mathematics Achievement
Alley, Gordon R.; And Others – 1980
The reliability and validity of the Modified Component Disability Checklist were examined with five secondary learning disabled (LD) teachers, 21 low achieving students, and 21 LD students in grades 7, 8, and 9. During Phase I, teachers matched the component disability to the target behavior; and in Phase II teachers were told to judge each target…
Descriptors: Adolescents, Behavior Patterns, Check Lists, Handicap Identification
Reliability and Validity of the Bayesian Identification Procedure for Learning Disabled Adolescents.
Alley, Gordon R.; And Others – 1980
The study investigated the reliability and validity of professional groups using the Modified Component Disability Instrument to identify/evaluate learning disabled (LD) adolescents. Ss included 166 LD teachers, speech clinicians, remedial reading teachers, school psychologists, school principals, and school counselors. Calculations were made for…
Descriptors: Adolescents, Behavior Patterns, Check Lists, Evaluation Criteria
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

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