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Houchins, David E.; Jimenez, Eliseo; Langley, Nickolas; Plescow, Katelyn; Henrich, Christopher C. – Behavioral Disorders, 2021
The purpose of this article was to examine the relationships between: (1) youth and facility characteristics; and (2) youth risk and resilience factors (i.e., mental health, self-determination [SD]) in juvenile justice facilities. Extant self-report data from 205 nationally representative correctional facilities and 7,073 youth, collected as part…
Descriptors: Predictor Variables, Self Determination, Mental Health, Mental Disorders
Kern, Lee; Harrison, Judith R.; Custer, Beth E.; Mehta, Paras D. – Behavioral Disorders, 2019
School engagement is an important predictor of graduation. One strategy to enhance student engagement is mentoring. Check & Connect is a structured mentoring program that has resulted in favorable outcomes for many students, including those with emotional and behavioral disorders. Effectiveness, however, depends on the quality of the…
Descriptors: Mentors, Interpersonal Relationship, Learner Engagement, Program Effectiveness
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Talbott, Elizabeth; Zurheide, Jaime L.; Karabatsos, George; Kumm, Skip – Behavioral Disorders, 2021
Valid and reliable teacher ratings serve as the foundation for screening and assessment of youth with behavioral disorders and twin studies offer an opportunity to study those ratings. We conducted a meta-analysis of 15 empirical investigations of aggressive and rule-breaking behavior using teacher ratings in the context of a twin research design.…
Descriptors: Student Behavior, Twins, Teacher Attitudes, Predictor Variables
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Barrett, David E.; Katsiyannis, Antonis – Behavioral Disorders, 2015
Using large-sample, archival data from the state of South Carolina's juvenile justice agency, we examine the question of race differences in predictors of repeat offending for a sample of approximately 100,000 youth who had been referred for criminal offenses. Independent variables relating to background, adverse parenting, mental health,…
Descriptors: Delinquency, Archives, Juvenile Justice, Racial Differences
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Barrett, David E.; Katsiyannis, Antonis; Zhang, Dalun; Zhang, Dake – Behavioral Disorders, 2014
This study examined influences on delinquency and recidivism using structural equation modeling. The sample comprised 199,204 individuals: 99,602 youth whose cases had been processed by the South Carolina Department of Juvenile Justice and a matched control group of 99,602 youth without juvenile records. Structural equation modeling for the…
Descriptors: Structural Equation Models, Influences, Delinquency, Recidivism
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Maag, John W.; Behrens, John T. – Behavioral Disorders, 1989
The study examined the relationship between extreme levels of depressive symptomatology and age, gender, and placement label among 465 secondary-level students in special education resource programs for the seriously emotionally disturbed and learning disabled. Gender was the only significant predictor of severe depressive symptomatology, with…
Descriptors: Age Differences, Depression (Psychology), Emotional Disturbances, Incidence
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Mattison, Richard E.; Spitznagel, Edward L.; Felix, Bernard C., Jr. – Behavioral Disorders, 1998
A study investigated variables that differentiated 75 successful and 76 unsuccessful students (ages 6-16) with serious emotional disturbances (SED). Four variables emerged as significant predictors of the unsuccessful outcome group: increasing enrollment age, presence of conduct or opposition disorder, lower verbal IQ, and absence of depressive or…
Descriptors: Age Differences, Behavior Disorders, Depression (Psychology), Elementary Secondary Education
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Taylor, Paulette B.; Gunter, Philip L.; Slate, John R. – Behavioral Disorders, 2001
A total of 87 inservice teachers and 99 preservice teachers viewed videotapes depicting inappropriate behavior of an African-American female, an African-American male, a white female, and a white male. The gender of the teacher and the gender of the student had the most influence on teachers' perceptions of behavior. (Contains references.)…
Descriptors: Behavior Disorders, Black Youth, Disability Identification, Elementary Secondary Education
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Glassberg, Leslie Ann – Behavioral Disorders, 1994
A discriminant analysis of characteristics of students with behavioral disorders in three progressively more intensive placements indicated that age at time of diagnosis was the strongest discriminating variable contributing to placement outcomes. Younger, brighter students tended to be mainstreamed, and older students with more externalizing…
Descriptors: Age Differences, Behavior Disorders, Disability Identification, Intelligence
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Zabel, Robert H.; Nigro, Frank A. – Behavioral Disorders, 2001
A study examined the types and extent of academic deficiencies of 130 adolescents held in a regional detention facility. Most participants' achievement scores in reading, language, and mathematics were below their grade-level placements, students with experience in special education scored lower than other offenders, and males scored lower than…
Descriptors: Academic Failure, Adolescents, Behavior Disorders, Delinquency
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Rimm-Kaufman, Sara E.; Kagan, Jerome – Behavioral Disorders, 2005
This study examines infant temperament (inhibited and uninhibited styles) as a predictor of behavior in the kindergarten classroom. Thirty-one kindergarten children were observed in their classrooms for approximately 1.5 hours on each of four occasions between September and January. Fourteen children (8 girls, 6 boys) had been classified as high…
Descriptors: Personality, Infants, Kindergarten, Interaction Process Analysis