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Greenwood, Charles R.; Higgins, Susan; McKenna, Meaghan; Buzhardt, Jay; Walker, Dale; Ai, Jun; Irvin, Dwight W.; Grasley-Boy, Nikki – Journal of Early Intervention, 2022
Universal screening and progress monitoring are evidence-based practices in early intervention/early childhood special education (EI/ECSE). Individual Growth and Development Indicators (IGDIs) for infants/toddlers are measures that programs can use for universal screening, progress monitoring, intervention decision-making, and accountability.…
Descriptors: Screening Tests, Progress Monitoring, Infants, Toddlers
Buzhardt, Jay; Wallisch, Anna; Irvin, Dwight; Boyd, Brian; Salley, Brenda; Jia, Fan – Journal of Early Intervention, 2022
One of the earliest indicators of autism spectrum disorder (ASD) is delay in language and social communication. Despite consensus on the benefits of earlier diagnosis and intervention, our understanding of the language growth of children with ASD during the first years of life remains limited. Therefore, this study compared communication growth…
Descriptors: Autism, Pervasive Developmental Disorders, Toddlers, Expressive Language
Bavin, Edith L.; Sarant, Julia; Hackworth, Naomi. J.; Bennetts, Shannon K.; Buzhardt, Jay; Jia, Fan; Button, Elizabeth; Busby, Peter; Leigh, Greg; Peterson, Candy – Journal of Child Language, 2020
For children with normal hearing (NH), early communication skills predict vocabulary, a precursor to grammar. Growth in early communication skills of infants with cochlear implants (CIs) was investigated using the Early Communication Indicator (ECI), a play-based observation measure. Multilevel linear growth modelling on data from six ECI sessions…
Descriptors: Deafness, Hearing Impairments, Assistive Technology, Communication Skills
King, Marika; Larson, Anne L.; Buzhardt, Jay – Assessment for Effective Intervention, 2022
Few, if any, reliable and valid screening tools exist to identify language delay in young Spanish-English speaking dual-language learners (DLLs). The early communication indicator (ECI) is a brief, naturalistic measure of expressive communication development designed to inform intervention decision-making and progress monitoring for infants and…
Descriptors: Hispanic American Students, Bilingual Education, Communication Skills, Infants
Greenwood, Charles R.; Higgins, Susan; McKenna, Meaghan; Buzhardt, Jay; Walker, Dale; Ai, Jun; Irvin, Dwight W.; Grasley-Boy, Nikki – Grantee Submission, 2021
Universal screening and progress monitoring are evidence-based practices in early intervention/ early childhood special education (EI/ECSE). Individual Growth and Development Indicators (IGDIs) for infants/toddlers are measures that programs can use for universal screening, progress monitoring, intervention decision-making, and accountability.…
Descriptors: Infants, Toddlers, Progress Monitoring, Child Development
Greenwood, Charles R.; Buzhardt, Jay; Walker, Dale; Jia, Fan; Carta, Judith J. – Assessment for Effective Intervention, 2020
The Early Communication Indicator (ECI) is a progress monitoring measure designed to support intervention decisions of the home visitors and early educators who serve infants and toddlers. The present study sought to add to the criterion validity claims of the ECI in a large sample of children using measures of language and preliteracy not…
Descriptors: Progress Monitoring, Total Communication, Infants, Toddlers
Greenwood, Charles R.; Buzhardt, Jay; Walker, Dale; Jia, Fan; Carta, Judith J. – Grantee Submission, 2020
The Early Communication Indicator (ECI) is a progress monitoring measure designed to support intervention decisions of the home visitors and early educators who serve infants and toddlers. The present study sought to add to the criterion validity claims of the ECI in a large sample of children using measures of language and preliteracy not…
Descriptors: Federal Legislation, Students with Disabilities, Educational Legislation, Equal Education
Greenwood, Charles R.; Carta, Judith J.; Schnitz, Alana G.; Higgins, Susan; Buzhardt, Jay; Walker, Dale; Jia, Fan; Irvin, Dwight – Journal of Early Intervention, 2021
Measures of young children's social development are needed in the Multi-Tier System of Supports (MTSS) approach to early childhood. In 2004, we reported initial development of an observational measure of infants' and toddlers' social skills designed for early educators, the Early Social Indicator (ESI). Here, we report preliminary findings on the…
Descriptors: Infants, Toddlers, Social Indicators, Child Development
Greenwood, Charles R.; Carta, Judith J.; Schnitz, Alana G.; Higgins, Susan; Buzhardt, Jay; Walker, Dale; Jia, Fan; Irvin, Dwight – Grantee Submission, 2021
Measures of young children's social development are needed in the MultiTier System of Supports (MTSS) approach to early childhood. In 2004, we reported initial development of an observational measure of infants' and toddlers' social skills designed for early educators, the Early Social Indicator (ESI). Here, we report preliminary findings on the…
Descriptors: Infants, Toddlers, Social Indicators, Child Development
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
Greenwood, Charles R.; Walker, Dale; Buzhardt, Jay; Irvin, Dwight; Schnitz, Alana G.; Jia, Fan – Topics in Early Childhood Special Education, 2018
Universal screening and progress monitoring measures are increasingly of interest to early interventionists who make decisions about the services provided to young children. A measure of infant-toddlers' growth in early movement, the "Early Movement Indicator" ("EMI"), was reported in 2002. However, the EMI has remained an…
Descriptors: Screening Tests, Early Intervention, Infants, Toddlers
Greenwood, Charles R.; Walker, Dale; Buzhardt, Jay; Irvin, Dwight; Schnitz, Alana G.; Jia, Fan – Grantee Submission, 2018
Universal screening and progress monitoring measures are increasingly of interest to early interventionists who make decisions about the services provided to young children. A measure of infant-toddlers' growth in early movement, the "Early Movement Indicator (EMI)," was reported in 2002. However, the EMI has remained an experimental…
Descriptors: Screening Tests, Early Intervention, Infants, Toddlers
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
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