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Peer reviewedTobin, Tary; Sugai, George; Colvin, Geoff – NASSP Bulletin, 2000
Computerized discipline referral data are a valuable resource in identifying at-risk students and staff development needs. Graphing referral data according to grade level, types of problem behavior, gender, or other features can facilitate decisions about applicable types of prevention programs and schoolwide strategies. (Contains 44 references.)…
Descriptors: Computer Uses in Education, Decision Making, Elementary Secondary Education, High Risk Students
