NotesFAQContact Us
Collection
Advanced
Search Tips
Publication Date
In 20250
Since 20240
Since 2021 (last 5 years)0
Since 2016 (last 10 years)6
Since 2006 (last 20 years)7
Audience
Practitioners1
Location
Bangladesh1
Laws, Policies, & Programs
Individuals with Disabilities…1
What Works Clearinghouse Rating
Meets WWC Standards with or without Reservations1
Showing all 8 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Khan, Jahidur Rahman; Sheikh, Md. Tuhin; Muurlink, Olav – Early Child Development and Care, 2020
Breastfeeding duration has been linked to maternal and child health. Current-status (or interval-censored) data offers a more reliable measure of duration and cessation of breastfeeding than approaches that rely on recall, due to high percentage of 'heaping'. The present study explores the determinants of breastfeeding termination within the first…
Descriptors: Foreign Countries, Nutrition, Child Health, Decision Making
Buzhardt, Jay; Greenwood, Charles R.; Jia, Fan; Walker, Dale; Schneider, Naomi; Larson, Anne L.; Valdovinos, Maria; McConnell, Scott R. – Exceptional Children, 2020
Data-driven decision making (DDDM) helps educators identify children not responding to intervention, individualize instruction, and monitor response to intervention in multitiered systems of support (MTSS). More prevalent in K-12 special education, MTSS practices are emerging in early childhood. In previous reports, we described the Making Online…
Descriptors: Data Analysis, Decision Making, Special Education, Infants
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Buzhardt, Jay; Greenwood, Charles R.; Jia, Fan; Walker, Dale; Schneider, Naomi; Larson, Anne L.; Valdovinos, Maria; McConnell, Scott R. – Grantee Submission, 2020
Data-driven decision making (DDDM) helps educators identify children not responding to intervention, individualize instruction, and monitor response to intervention in multitiered systems of support (MTSS). More prevalent in K-12 special education, MTSS practices are emerging in early childhood. In previous reports, we described the Making Online…
Descriptors: Data Analysis, Decision Making, Special Education, Infants
Peer reviewed Peer reviewed
Direct linkDirect link
Kruythoff-Broekman, Astrid; Wiefferink, Carin; Rieffe, Carolien; Uilenburg, Noëlle – International Journal of Language & Communication Disorders, 2019
Background: Late language emergence is a risk indicator for developmental language disorder. Parent-implemented early language intervention programmes (parent programmes) have been shown to have positive effects on children's receptive and expressive language skills. However, long-term effectiveness has rarely been studied. Additionally, little is…
Descriptors: Child Language, Longitudinal Studies, Parent Education, Parent Child Relationship
Buzhardt, Jay; Greenwood, Charles R.; Walker, Dale; Jia, Fan; Schnitz, Alana G.; Higgins, Susan; Montagna, Debra; Muehe, Christine – Journal of Early Intervention, 2018
Programs serving infants and toddlers are expected to use child data to inform decisions about intervention services; however, few tools exist to support these efforts. The Making Online Decisions (MOD) system is an adaptive intervention that guides early educators' data-based intervention decision making for infants and toddlers at risk for…
Descriptors: Infants, Toddlers, Early Intervention, Decision Making
Buzhardt, Jay; Greenwood, Charles R.; Walker, Dale; Jia, Fan; Schnitz, Alana G.; Higgins, Susan; Montagna, Debra; Muehe, Christine – Grantee Submission, 2018
Programs serving infants and toddlers are expected to use child data to inform decisions about intervention services; however, few tools exist to support these efforts. The Making Online Decisions (MOD) system is an adaptive intervention that guides early educators' data-based intervention decision making for infants and toddlers at risk for…
Descriptors: Infants, Toddlers, Early Intervention, Decision Making
Bergen, Doris – 1994
This text is on transdisciplinary team assessment of infants and toddlers at developmental risk and emphasizes both the dynamics (interpersonal strategies) and the mechanics (team assessment strategies) of teamwork. Emphasis is on assessment for the development of Individualized Family Service Plans. Chapter 1 reviews major developmental…
Descriptors: At Risk Persons, Decision Making, Disabilities, Evaluation Methods
Dunst, Carl J. – Orelena Hawks Puckett Institute (NJ1), 2006
Procedures for using a decision algorithm for determining whether an infant or toddler is eligible for Part C early intervention is the focus of this eligibility determination practice guideline. An algorithm is a step-by-step problem-solving procedure or decision-making process that results in a solution or accurate decision in a finite number of…
Descriptors: Early Intervention, Eligibility, Young Children, Evaluation Methods