NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 6 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Litt, Jonathan S.; Perrin, James M. – Journal of Early Intervention, 2014
This study aims to characterize participation of neonatal intensive care unit (NICU) graduates in early intervention (EI). We used data from the National Early Intervention Longitudinal Study. We fit models of days from referral to Individualized Family Service Plan creation (plan time), days from referral to initiation of services (service time),…
Descriptors: Early Intervention, Individualized Family Service Plans, Enrollment, Individual Characteristics
Peer reviewed Peer reviewed
Direct linkDirect link
Messinger, Daniel; Lambert, Brittany; Bauer, Charles R.; Bann, Carla M.; Hamlin-Smith, Kasey; Das, Abhik – Journal of Early Intervention, 2010
When predicting child developmental outcomes, reliance on children's scores on measures of developmental functioning alone might mask more subtle behavioral difficulties, especially in children with developmental risk factors. The current study examined predictors and stability of examiner behavior ratings and their association with concurrent and…
Descriptors: Body Weight, Early Intervention, Toddlers, Rating Scales
Peer reviewed Peer reviewed
Blackman, James A. – Journal of Early Intervention, 1996
In response to O'Brien et al., who examined predictors of child outcome among at-risk infants as possible eligibility criteria for early intervention programs, this paper notes that most biological risk factors in infants are not adequately predictive of developmental dysfunction. It stresses that when social problems are the cause of…
Descriptors: At Risk Persons, Child Development, Disabilities, Disadvantaged Environment
Peer reviewed Peer reviewed
Bricker, Diane – Journal of Early Intervention, 1996
In response to O'Brien et al., who examined predictors of child outcomes among at-risk infants, this article suggests that the goal of prevention and early detection can be more efficiently met if the focus shifts from prediction to ongoing monitoring of children's developmental growth. A three-step model involving ongoing screening, eligibility…
Descriptors: At Risk Persons, Child Development, Disabilities, Early Identification
Peer reviewed Peer reviewed
Tien, Chia-Ling; Peterson, Carla A.; Shelley, Mack C., II – Journal of Early Intervention, 2002
A study examined patterns and predictors of service use by 85 families of Neonatal Intensive Care Unit (NICU) graduates, specifically premature infants. Enabling variables (NICU contacts and follow-up services) and parents' perceptions of children's problems were major predictors of service use. No demographic characteristics predicted service…
Descriptors: Attitudes toward Disabilities, Early Intervention, Family Involvement, Family Programs
Peer reviewed Peer reviewed
O'Brien, Marion; Rice, Mabel; Roy, Carolyn – Journal of Early Intervention, 1996
This study evaluated the usefulness of perinatal medical status, environmental risk, and infant developmental status as predictors of low IQ at age 4 among 70 4-year-olds who had been in a neonatal intensive care unit at birth. It found family environment the most predictive, 18-month developmental assessments somewhat useful, and perinatal health…
Descriptors: At Risk Persons, Biological Influences, Early Identification, Early Intervention