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Direct linkBuzhardt, 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
Terrett, Gill; White, Roxanne; Spreckley, Michele – Journal of Early Childhood Research, 2013
The purpose of this study was to assess changes in children's language skills and parenting stress following participation in the Parent-Child Mother Goose Program (PCMGP). The intervention group consisted of 29 parents (age range 24 to 43 years, "M" = 33.5, SD = 4.1) and 30 children (18 females and 12 males) with ages ranging from 1 to…
Descriptors: Language Acquisition, Stress Variables, Child Rearing, Crisis Intervention
