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Schifter, Laura – Exceptional Children, 2011
This study explores the high school graduation experiences of students with disabilities, using data from the National Longitudinal Transition Study-2 (NLTS2, 2010), and asking: (a) After entering high school, on average, how long does it take for students with disabilities to graduate? (b) Is time to graduation different for students with…
Descriptors: High Schools, Graduation, Disabilities, Probability
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Storkel, Holly L.; Hoover, Jill R. – Journal of Communication Disorders, 2010
This study examined the ability of 20 preschool children with functional phonological delays and 34 age- and vocabulary-matched typical children to learn words differing in phonotactic probability (i.e., the likelihood of occurrence of a sound sequence) and neighborhood density (i.e., the number of words that differ from a target by one phoneme).…
Descriptors: Semantics, Novelty (Stimulus Dimension), Preschool Children, Probability
Roscoe, Eileen M.; Rooker, Griffin W.; Pence, Sacha T.; Longworth, Lynlea J. – Journal of Applied Behavior Analysis, 2009
We evaluated the utility of an assessment for identifying tasks for the functional analysis demand condition with 4 individuals who had been diagnosed with autism. During the demand assessment, a therapist presented a variety of tasks, and observers measured problem behavior and compliance to identify demands associated with low levels of…
Descriptors: Behavior Problems, Probability, Functional Behavioral Assessment, Evaluation
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National Center for Education Statistics, 2011
Representative samples of fourth- and eighth-grade public school students from 21 urban districts participated in the 2011 National Assessment of Educational Progress (NAEP) in mathematics. Eighteen of the districts participating in the 2011 NAEP Trial Urban District Assessment (TUDA) participated in earlier assessment years, while three districts…
Descriptors: Achievement Gap, Algebra, Comparative Analysis, Disabilities
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National Center for Education Statistics, 2011
Representative samples of fourth- and eighth-grade public school students from 21 urban districts participated in the 2011 National Assessment of Educational Progress (NAEP) in reading. Eighteen of the districts participating in the 2011 NAEP Trial Urban District Assessment (TUDA) participated in earlier assessment years, while three districts…
Descriptors: Achievement Gap, Comparative Analysis, Disabilities, Educational Assessment
Jorgensen, Shirley; Fichten, Catherine; Havel, Alice – Online Submission, 2009
The main aim of this study was to gain a better understanding of why students abandon their studies, or perform less well than expected given their high school grades, and to develop predictive models that can help identify those students most at-risk at the time they enter college. This will allow teachers and those responsible for student…
Descriptors: High School Students, Grades (Scholastic), Academic Failure, Profiles
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National Center for Education Statistics, 2011
This report presents results of the 2011 National Assessment of Educational Progress (NAEP) in mathematics at grades 4 and 8. Nationally representative samples of 209,000 fourth-graders and 175,200 eighth-graders participated in the 2011 National Assessment of Educational Progress (NAEP) in mathematics. At each grade, students responded to…
Descriptors: National Competency Tests, Data Analysis, Grade 4, Probability
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Frick, Theodore W. – American Educational Research Journal, 1990
Analysis of patterns in time (APT) is presented as a method for gathering information about observable phenomena so that probabilities of temporal patterns of events can be estimated empirically. APT is illustrated through a classroom study of 25 mentally handicapped students and in a study of 2 computer-based tests. (SLD)
Descriptors: Adaptive Testing, Computer Assisted Testing, Data Analysis, Disabilities
Rossi, Robert J. – 1987
Project MAP (Model Accounting Plan) is designed to test a demographic system for monitoring the within-school and post-school transitions of special education participants. Implemented at the local level, this system produces data to inform school-level decision-making. In addition, the data that are produced can be aggregated for use at higher…
Descriptors: Adolescents, Data Collection, Decision Making, Disabilities