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Andrea Baraldi Cunha; Iryna Babik; Dongho Choi; Natalie Koziol; Regina T. Harbourne; Stacey Dusing; Sarah W. McCoy; Sandra L. Willett; James A. Bovaird; Michele A. Lobo – Grantee Submission, 2024
Background: Children with motor delays are at increased risk for delayed means-end problem-solving (MEPS) performance. Objectives: To evaluate children with motor delays: 1) the impact of motor delay severity and MEPS mastery timing on developmental trajectories of MEPS; and 2) the effectiveness of Sitting Together And Reaching To Play…
Descriptors: Psychomotor Skills, Developmental Delays, At Risk Persons, Problem Solving
Iryna Babik; Andrea B. Cunha; Dongho Choi; Natalie A. Koziol; Regina T. Harbourne; Stacey C. Dusing; Sarah W. McCoy; James A. Bovaird; Sandra L. Willett; Michele A. Lobo – Grantee Submission, 2022
Aims: Children with neuromotor delays are at risk for reaching and object exploration impairments, which may negatively affect their cognitive development and daily activity performance. This study evaluated the effectiveness of the Sitting Together And Reaching To Play (START-Play) intervention on reaching-related exploratory behaviors in…
Descriptors: At Risk Persons, Cognitive Development, Developmental Delays, Program Effectiveness
Doyle, Colleen M.; Lasch, Carolyn; Vollman, Elayne P.; Desjardins, Christopher D.; Helwig, Nathaniel E.; Jacob, Suma; Wolff, Jason J.; Elison, Jed T. – Grantee Submission, 2021
Background: To advance early identification efforts, we must detect and characterize neurodevelopmental sequelae of risk among population-based samples early in development. However, variability across the typical-to-atypical continuum and heterogeneity within and across early emerging psychiatric/neurodevelopmental disorders represent fundamental…
Descriptors: Clinical Diagnosis, Screening Tests, Genetics, Sampling
Haine-Schlagel, Rachel; Rieth, Sarah; Dickson, Kelsey S.; Brookman-Frazee, Lauren; Stahmer, Aubyn – Grantee Submission, 2020
Study aims included (a) characterizing provider feedback on parent engagement strategies integrated into a parent-mediated intervention for toddlers at risk for autism spectrum disorder (ASD) and (b) identifying provider characteristics that predict attitudes about parent engagement strategies. A mixed method approach was utilized, including…
Descriptors: Parent Participation, Toddlers, At Risk Persons, Autism Spectrum Disorders
Rogers, Sally J.; Stahmer, Aubyn; Talbott, Meagan; Young, Gregory; Fuller, Elizabeth; Pellecchia, Melanie; Barber, Angela; Griffith, Elizabeth – Grantee Submission, 2022
Background: This implementation feasibility study was conducted to determine whether an evidence-based parent-implemented distance-learning intervention model for young children at high likelihood of having ASD could be implemented at fidelity by Part C community providers and by parents in low-resource communities. Methods: The study used a…
Descriptors: At Risk Persons, Autism, Pervasive Developmental Disorders, Distance Education
Stahmer, Aubyn C.; Rieth, Sarah R.; Dickson, Kelsey S.; Feder, Josh; Searcy, Karyn; Brookman-Frazee, Lauren – Grantee Submission, 2019
This study reports child and family outcomes from a community-based, quasi-experimental pilot trial of "Project ImPACT for Toddlers" ("PI[superscript T]"). "PI[superscript T]" is a parent-mediated, naturalistic, developmental behavioral intervention for children with or at-risk for autism spectrum disorder developed…
Descriptors: Toddlers, Autism, Pervasive Developmental Disorders, At Risk Persons
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
Rieth, Sarah R.; Haine-Schlagel, Rachel; Burgeson, Marilee; Searcy, Karyn; Dickson, Kelsey S.; Stahmer, Aubyn C. – Grantee Submission, 2018
Naturalistic developmental behavioral interventions include an explicit focus on coaching parents to use therapy techniques in daily routines and are considered best practice for young children with autism. Unfortunately, these approaches are not widely used in community settings, possibly due to the clinical expertise and training required. This…
Descriptors: Toddlers, At Risk Persons, Language Impairments, Intervention
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
Baranek, Grace T.; Woynaroski, Tiffany G.; Nowell, Sallie; Brown, Lauren Turner; DuBay, Michaela; Crais, Elizabeth R.; Watson, Linda R. – Grantee Submission, 2017
Recent work suggests sensory seeking predicts later social symptomatology through reduced social orienting in infants who are at high-risk for autism spectrum disorder (ASD) based on their status as younger siblings of children diagnosed with ASD. We drew on extant longitudinal data from a community sample of at-risk infants who were identified at…
Descriptors: Infants, At Risk Persons, Autism, Pervasive Developmental Disorders
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