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Direct linkTsiouris, John; Mann, Rachel; Patti, Paul; Sturmey, Peter – Journal of Intellectual and Developmental Disability, 2004
Clinicians need to know the likelihood of a condition given a positive or negative diagnostic test. In this study a Bayesian analysis of the Clinical Behavior Checklist for Persons with Intellectual Disabilities (CBCPID) to predict depression in people with intellectual disability was conducted. The CBCPID was administered to 92 adults with…
Descriptors: Bayesian Statistics, Clinical Diagnosis, Predictor Variables, Depression (Psychology)
Peer reviewedKamphaus, Randy W.; And Others – Journal of Learning Disabilities, 1991
This study investigated diagnosis of learning problems in 177 boys (ages 6-13) with behavior problems. The standard score discrepancy method and standard score plus low achievement method were more likely to identify children with above-average intelligence quotients as learning disabled, whereas a regression approach identified learning…
Descriptors: Behavior Problems, Educational Diagnosis, Elementary Education, Handicap Identification
Download full textGoldstein, David; Dundon, William D. – 1986
This paper addresses the problem of heterogeneity of samples of learning disabled (LD) children by comparing five different systems for identifying homogeneous subgroups in terms of their ability to predict longitudinal reading and mathematics scores. One hundred and sixty LD children served as subjects. Three of the five subgrouping systems were…
Descriptors: Academic Achievement, Affective Behavior, Behavior Problems, Blacks
Roid, Gale H. – 1987
This sourcebook describes methods of dealing with dropouts in Oregon school districts. "At-risk youth" and "dropout" are defined and survey results of 98 percent of superintendents concerning program offerings are summarized. Data suggest that medium-size districts require greatest assistance. Despite increases in single-parent…
Descriptors: Behavior Problems, Cooperative Planning, Demonstration Programs, Dropout Research
