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Schertz, Hannah H.; Call-Cummings, Meagan; Horn, Kathryn; Quest, Kelsey; Law, Rhiannon Steffen – Journal of Early Intervention, 2018
A qualitative study of three parents and their toddlers with autism was conducted to investigate the communicative functions underlying parent-toddler interactions and how the instrumental or social nature of one partner's actions influenced the other's engagement. Parent-child interaction videos collected from a separate intervention study were…
Descriptors: Autism, Pervasive Developmental Disorders, Social Development, Child Development
Schertz, Hannah H.; Call-Cummings, Meagan; Horn, Kathryn; Quest, Kelsey; Law, Rhiannon Steffen – Grantee Submission, 2018
A qualitative study of three parents and their toddlers with autism was conducted to investigate the communicative functions underlying parent-toddler interactions and how the instrumental or social nature of one partner's actions influenced the other's engagement. Parent-child interaction videos collected from a separate intervention study were…
Descriptors: Autism, Child Development, Coding, Data Analysis
Ruedel, Kristin; Nelson, Gena; Bailey, Tessie – National Center for Systemic Improvement at WestEd, 2018
The Tennessee Department of Education (TDOE) discovered that infants and toddlers who were referred for Part C services and initially found ineligible for a full evaluation through screening were being re-referred and later found eligible for services at a high rate. This report presents the systematic evaluation process that TDOE's Tennessee…
Descriptors: Educational Legislation, Federal Legislation, Equal Education, Disabilities
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
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
Bjørnestad, Elisabeth; Os, Ellen – European Early Childhood Education Research Journal, 2018
The purpose of this study was to explore the quality of toddler childcare in Norway using the Infant Toddler Environment Rating Scale-Revised Edition (ITERS-R; [Harms, Thelma, Debby Cryer, and Richard M. Clifford. 2006. "Infant/Toddler Environment Rating Scales Revised Edition." New York: Teachers College Press.]), drawing on a sample of…
Descriptors: Foreign Countries, Educational Quality, Child Care, Toddlers
Greenberg, Jan – Young Children, 2012
Math is everywhere! Mathematics is "a way of describing the world--a way of thinking, knowing, and problem-solving" (Virginia's Early Childhood Development Alignment Project 2008, 83). Infants and toddlers are natural mathematicians. Even without adult support, infants and toddlers use math concepts to make sense of their world. An important role…
Descriptors: Infants, Parent Role, Toddlers, Mathematics Education
Keilty, Bonnie; LaRocco, Diana J.; Casell, Faye Bankler – Topics in Early Childhood Special Education, 2009
Authentic assessments are naturalistic methods to obtain functional, contextual information relevant to learning in routine activities. Seven focus groups were conducted with 73 practicing Part C early interventionists to gather their reports on authentic assessments. Participants reported various ways of applying authentic assessment methods,…
Descriptors: Early Intervention, Student Evaluation, Performance Based Assessment, Focus Groups
Buzhardt, Jay; Greenwood, Charles R.; Walker, Dale; Anderson, Rawni; Howard, Waylon; Carta, Judith J. – NHSA Dialog, 2011
We investigated Early Head Start home visitors' use of evidence-based practices and the efficacy of a web-based system to support these practices. Home visitors learned to use 3 evidence-based practices: (a) frequent assessment of children's early communication for screening and progress monitoring, (b) 2 home-based language-promoting…
Descriptors: Evidence, Early Intervention, Disadvantaged Youth, Home Visits
Burchinal, Margaret R.; Clarke-Stewart, K. Alison – Developmental Psychology, 2007
J. Brooks-Gunn, W. J. Han, and J. Waldfogel (2002) and the National Institute of Child Health and Human Development Early Child Care Research Network (ECCRN; 2000b) came to different conclusions about the effects of maternal employment--although they were addressing similar questions using the same data set. Brooks-Gunn et al. concluded that…
Descriptors: Employment, Data Analysis, Child Health, Testing
Szagun, Gisela; Stumper, Barbara; Sondag, Nina; Franik, Melanie – Journal of Child Language, 2007
The acquisition of noun gender on articles was studied in a sample of 21 young German-speaking children. Longitudinal spontaneous speech data were used. Data analysis is based on 22 two-hourly speech samples per child from 6 children between 1 ; 4 and 3 ; 8 and on 5 two-hourly speech samples per child from 15 children between 1 ; 4 and 2 ; 10. The…
Descriptors: Speech Communication, Phonology, Nouns, Data Analysis
Richmond, Brian – Academy for Educational Development, 2006
This Handbook provides an introduction to basic procedures and methods of data analysis. The authors provide a framework to guide program staff in their thinking about these procedures and methods and their relevant applications in MSHS (Migrant and Seasonal Head Start) settings. Accordingly, this Handbook was developed to support the work of…
Descriptors: Data Collection, Disadvantaged Youth, Data, Early Childhood Education
RESNA: Association for the Advancement of Rehabilitation Technology, Arlington, VA. – 1999
This brief paper presents an analysis of federal data concerning use of assistive technology (AT) among infants and toddlers. The number of very young children using AT increased dramatically between 1992 and 1995. Of more than 177,000 infants and toddlers receiving services under Part C of the Individuals with Disabilities Education Act, 9,274…
Descriptors: Accessibility (for Disabled), Assistive Devices (for Disabled), Data Analysis, Disabilities
RESNA: Association for the Advancement of Rehabilitation Technology, Arlington, VA. – 2000
This brief paper presents an update on the use of assistive technology (AT) among infants and toddlers for 1996. It finds that 13,525 children, ages birth to 2, received AT devices and services in 1996, a 45 percent increase from the number of very young children served in 1995. A table shows the number of infants and toddlers receiving any early…
Descriptors: Accessibility (for Disabled), Assistive Devices (for Disabled), Data Analysis, Disabilities

Taylor, Janeen McCracken; Baglin, Carol Ann – Infant-Toddler Intervention: The Transdisciplinary Journal, 2000
To examine the perceptions of families in the early childhood special education literature, four popular journals were reviewed, and 93 1996-1997 articles were identified for further study. Results found a lack of emphasis on the family and the family's role in the delivery of early intervention services. (Contains references.) (CR)
Descriptors: Data Analysis, Delivery Systems, Disabilities, Early Intervention
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