The purpose of this research was to replicate and extend some of the findings of Hart and Risley using automatic speech processing instead of human transcription of language samples. The long-term goal of this work is to make the current approach to speech processing possible by researchers and clinicians working on a daily basis with families and young children. Twelve hour-long, digital audio recordings were obtained repeatedly in the homes of middle to upper SES families for a sample of typically developing infants and toddlers (N = 30). These recordings were processed automatically using a measurement framework based on the work of Hart and Risley. Like Hart and Risley, the current findings indicated vast differences in individual children’s home language environments (i.e., adult word count), children’s vocalizations, and conversational turns. Automated processing compared favorably to the original Hart and Risley estimates that were based on transcription. Adding to Hart and Risley’s findings were new descriptions of patterns of daily talk and relationships to widely used outcome measures, among others. Implications for research and practice are discussed.

Families in rural or remote areas have limited access to evidence-based intervention for their children with autism. Using web-based training and telemedicine technology, the current study investigated the feasibility of training seven parents to implement Applied Behavior Analysis (ABA) strategies with their children with autism. In this exploratory formative evaluation, parents increased their knowledge of ABA strategies and concepts by an average of 39 percentage points, and improved their implementation of ABA strategies with their children by an average of 41 percentage points. A total of 9,052 driving miles were saved across the four families. Implications for families living in remote areas, improvements in the training program, and future research directions are discussed.

The Early Communication Indicator (ECI) is a measure relevant to intervention decision making and progress monitoring for infants and toddlers. With increasing recognition of the importance of quality early childhood education and intervention for all children, measurement plays an important role in documenting children’s progress and outcomes of early educational experiences. Screening and progress-monitoring measures used in a response-to-intervention approach require age-based benchmarks for decision-making support. The goal of this study was to create a normative sample of ECI data referenced to children served by Early Head Start, including children with Individualized Family Service Plans (IFSPs). In a large sample of children ( N = 5,883), program staff in 27 Early Head Start programs in two states collected ECI data from 2002 to 2007. Results indicated that children’s ECI total communication growth was conditional on IFSP status but not on gender or home language (English versus Spanish). Children’s patterns of communication on the ECI key skill elements (i.e., gestures, vocalizations, single words, and multiple words) were also conditional on IFSP status. Children with IFSPs had (a) later ages of onset for vocalizations, single words, and multiple words; (b) generally slower growth over time; and (c) significantly lower mean levels in the most advanced key skill: multiple words at 36 months of age. Implications for early childhood researchers and service providers are discussed.

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 language delay. Using a cluster randomized design to test the effect of the MOD, home visitors (HVs) were assigned to either use the MOD or not across 13 Early Head Start programs. Both groups used the Early Communication Indicator (ECI) for progress monitoring and a parent-mediated language promotion intervention. Children from both groups demonstrated significant growth in expressive communication. However, children whose HVs fully implemented the MOD grew significantly more than the group that did not use the MOD, even after statistically controlling for parent and HV variables. Implications for designing effective and usable systems to promote the use of data-based decision-making practices by infant–toddler service providers are discussed, as well as limitations of the current study.

There are major obstacles to the effective delivery of mental health services to poor families, particularly for those families in rural areas. The rise of Internet use, however, has created potentially new avenues for service delivery, which, when paired with the many recent advances in computer networking and multimedia technology, is fueling a demand for Internet delivery of mental-health services. We report on the adaptation of a parenting program for delivery via the Internet, enhanced with participant-created videos of parent-infant interactions and weekly staff contact, which enable distal treatment providers to give feedback and make decisions informed by direct behavioral assessment. This Internet-based, parent-education intervention has the potential to promote healthy and protective parent-infant interactions in families who might not otherwise receive needed mental health services.Child maltreatment is one of our nation's most significant public-health problems (National Center for Injury Prevention and Control, 2004). Though it is difficult to arrive at firm prevalence rates, the Department of Health and Human Services [DHHS] (2005) indicates that in 2005 (the most recent year for which National Child Abuse and Neglect Data System summary statistics are available), 899,000 children in the U.S. and its territories were victims of abuse or neglect. This statistic very likely under-estimates the true prevalence rate (DHHS, 2005; Goldman, Salus, Wolcott, & Kennedy, 2003). Infants and young children are particularly vulnerable. Children under 3 years of age are the most frequent victims of substantiated maltreatment (Goldman, et al.;Wu et al., 2004), and over 40% of maltreatment-related fatalities