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Lane, Kathleen Lynne; Oakes, Wendy Peia; Menzies, Holly Mariah; Major, Rebecca; Allegra, Laurie; Powers, Lisa; Schatschneider, Chris – Topics in Early Childhood Special Education, 2015
We report findings of two exploratory validation studies of a revised instrument: the "Student Risk Screening Scale for Early Childhood" version (SRSS-EC). The SRSS-EC was modified to reflect characteristics of externalizing and internalizing behaviors manifested by preschool-age children. In Study 1, we explored the reliability of…
Descriptors: Screening Tests, At Risk Students, Early Childhood Education, Rating Scales
So, Pety; Greaves-Lord, Kirstin; van der Ende, Jan; Verhulst, Frank C.; Rescorla, Leslie; de Nijs, Pieter F. A. – Autism: The International Journal of Research and Practice, 2013
This study evaluated the ability of the Child Behavior Checklist and the Teacher's Report Form to identify children with autism spectrum disorders (ASD), using a sample of children with ASD (n = 458), referred children without ASD (n = 1109) and children from the general population (n = 999). A ten items ASD scale was constructed using half of the…
Descriptors: Disability Identification, Autism, Pervasive Developmental Disorders, Check Lists
Bjarehed, Jonas; Pettersson, Kajsa; Wangby-Lundh, Margit; Lundh, Lars-Gunnar – Journal of School Nursing, 2013
Nonsuicidal self-injury (NSSI) in adolescents is a significant problem that needs to be addressed, and in some cases managed, in school settings. The current feasibility study uses screening questionnaires and follow up-interviews on NSSI in a community sample of adolescents ("N" = 1,052) in Sweden. Both adolescents reporting self-injury…
Descriptors: Interviews, Adolescents, Program Validation, Self Destructive Behavior
Garb, Howard N.; Wood, James M.; Fiedler, Edna R. – Assessment, 2011
Using 65 items from a mental health screening questionnaire, the History Opinion Inventory-Revised (HOI-R), the present study compared three strategies of scale construction--(1) internal (based on factor analysis), (2) external (based on empirical performance) and (3) intuitive (based on clinicians' opinion)--to predict whether 203,595 U.S. Air…
Descriptors: Opinions, Mental Health, Test Validity, Measures (Individuals)

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