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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
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
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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
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Kirkland, John; Bimler, David; Drawneek, Andrew; McKim, Margaret; Scholmerich, Axel – Early Child Development and Care, 2004
Attachment Q-Sort (AQS) is a tool for quantifying observations about toddler/caregiver relationships. Previous studies have applied factor analysis to the full 90 AQS item set to explore the structure underlying them. Here we explore that structure by applying multidimensional scaling (MDS) to judgements of inter-item similarity. AQS items are…
Descriptors: Foreign Countries, Toddlers, Data Analysis, Parent Child Relationship
Peer reviewed Peer reviewed
Reilly, Judy Snitzer; Bellugi, Ursula – Journal of Child Language, 1996
Addresses how affective facial expression interacts with the linguistic forms in American Sign Language (ASL) motherese. The article presents data from both cross-sectional and longitudinal interaction from 15 deaf mothers signing with their deaf toddlers. Findings indicate a shift from affect to grammar at about the child's second birthday. (59…
Descriptors: American Sign Language, Child Language, Cross Sectional Studies, Data Analysis