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Peer reviewedTomasi, Susan F.; Weinberg, Sharon L. – Learning Disability Quarterly, 1999
This study examined the degree to which clinicians use various discrepancy models to identify a child as learning disabled by reviewing the case files of 105 urban (predominantly African-American) children who had been classified as LD and were receiving special education. Results suggested clinicians' decisions do not reflect recommended models…
Descriptors: Black Students, Classification, Clinical Diagnosis, Decision Making
Peer reviewedChafel, Judith A.; Fitzgibbons, Shirley; Cutter, Lisa; Burke-Weiner, Kimberly – Early Child Development and Care, 1997
Used content analysis to examine the depiction of poverty in 18 books for young children. Book content was coded using nine categories (occupation, income, employment, unemployment, race, ethnicity, geographic locale, education, and family structure). Found that all nine categories appeared in the books and that although some findings diverged…
Descriptors: Childrens Literature, Classification, Content Analysis, Economically Disadvantaged
Plake, Barbara S.; Hambleton, Ronald K. – Educational Assessment, 2000
Applied the analytical judgment standard setting method to 90 papers from the 1996 Grade 8 National Assessment of Educational Progress science assessment. Compared sorting versus direct classification, long and short versions of the classification scale, and effects of discussion on cutscores. Results from 17 Georgia teachers and 8 Michigan…
Descriptors: Classification, Cutting Scores, Junior High School Students, Junior High Schools
Peer reviewedBonafina, Marcela A.; Newcorn, Jeffrey H.; McKay, Kathleen E.; Koda, Vivian H.; Halperin, Jeffrey M. – Journal of Learning Disabilities, 2000
Using cluster analysis, a study empirically divided 54 children with attention-deficit/hyperactivity disorder (ADHD) based on their Full Scale IQ and reading ability. Clusters had different patterns of cognitive, behavioral, and neurochemical functions, as determined by discrepancies in Verbal-Performance IQ, academic achievement, parent…
Descriptors: Academic Achievement, Aggression, Attention Deficit Disorders, Children
Peer reviewedKleijnen, Jack P. C.; Van Groenendaal, Willem – Information Processing & Management, 2000
Proposes a methodology using citations to measure the quality of journals, proceedings, and book publishers. Explains the use of statistical sampling, bootstrapping, and classification that results in ranked lists of journals, proceedings, and publishers, as evidenced in a case study of the information systems field. (Author/LRW)
Descriptors: Case Studies, Citations (References), Classification, Conference Proceedings
Peer reviewedNikolopoulou, Kleopatra – Journal of Science Education and Technology, 2000
Presents an investigation of 13- and 14-year-old students' classification skills when they analyze scientific data in science lessons. Finds that less-able students could only classify according to discrete criteria, and that the scientific context influenced students' classification skills. (Contains 18 references.) (Author/WRM)
Descriptors: Academic Ability, Classification, Cognitive Processes, Computer Uses in Education
Peer reviewedRamey-Gassert, Linda – Science Activities, 1998
Recommends the use of beans as an inexpensive, durable, and readily available resource for developing science-process skills in K-8 students. Shares strategies for using beans in graphing, patterning, and classifying. (DDR)
Descriptors: Classification, Concept Formation, Elementary Secondary Education, General Science
Peer reviewedSchwarz, Richard D. – Applied Measurement in Education, 1998
Referral, placement, and retention decisions were analyzed using item response theory (IRT) to study whether classification decisions could be placed on the latent continuum of ability normally associated with test items and to study the existence of classification differential item functioning. Results with 352 kindergarten children demonstrate…
Descriptors: Ability, Classification, Decision Making, Grade Repetition
Peer reviewedPoirier, Gayle – Catholic Library World, 2000
Discusses bibliographic instruction in libraries. Topics include a history of bibliographic instruction; the Internet and electronic searching; librarians' use of technology; defining information needs; locating and accessing information, including classification systems and Boolean searching; evaluating information; using and communication…
Descriptors: Access to Information, Classification, Communication (Thought Transfer), Evaluation Methods
Peer reviewedMayes, Susan Dickerson; Calhoun, Susan L. – Autism: The International Journal of Research and Practice, 2001
A study compared children with autism or Asperger syndrome with speech delays (n=23) with those without speech delays (n=24). No significant differences were found on any of the 71 variables analyzed, including autistic symptoms and expressive language. Results suggest that early speech delay may be irrelevant to later functioning. (Contains…
Descriptors: Asperger Syndrome, Autism, Children, Classification
Peer reviewedMeyyappan, N.; Chowdhury, G. G.; Foo, Schubert – Journal of Information Science, 2000
Provides a review of 20 digital libraries from around the world. Examines library objectives; funding, including the role of government and private sector organizations; subject coverage; collections; information storage and retrieval; search features; access to the collections; output formats; and sorting search output. (LRW)
Descriptors: Access to Information, Classification, Electronic Libraries, Government Role
Peer reviewedSutton, Stuart A. – Reference Librarian, 1996
Explores the future of reference librarianship within the context of the enabling technologies that will chart library development in the 21st century. The article types libraries into categories of "traditional,""automated,""hybrid," and "digital." The typology delineates shifts in human/machine…
Descriptors: Access to Information, Classification, Futures (of Society), Information Technology
Peer reviewedLewit, Eugene M.; Baker, Linda Schuurmann – Future of Children, 1996
Examines data collected by the federal Office of Special Education Programs (OSEP) on the identification and classification of special education students. Analysis suggests that the OSEP count data, by themselves, do not indicate how many children have disabilities or what types of disabilities they have, and the data cannot by used to evaluate…
Descriptors: Classification, Comparative Analysis, Data Interpretation, Disability Identification
Peer reviewedArensman, Ella; Kerkhof, Ad J. F. M. – Suicide and Life-Threatening Behavior, 1996
Presents a review of empirical studies on the classification of attempted suicide over the period 1963-93. Investigated whether there is research evidence for a valid classification of homogeneous subgroups of suicide attempts. Found two clearly distinguished subgroups (characterized by mild and severe suicide attempts) which constitute the…
Descriptors: Affective Behavior, At Risk Persons, Behavioral Science Research, Classification
Peer reviewedLuteijn, Ellen; Luteijn, Frans; Jackson, Sandy; Volkmar, Fred; Minderaa, Ruud – Journal of Autism and Developmental Disorders, 2000
Children's Social Behavior Questionnaire (CCBQ) scores from 240 children with pervasive developmental disorder not otherwise specified (PDDNOS), 95 with high-functioning autism, 181 with attention-deficit/hyperactivity disorder, 400 with psychiatric problems, and 234 controls, indicated significant group differences on all scales and good test…
Descriptors: Attention Deficit Disorders, Behavior Problems, Children, Classification

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