Parents are the first to indicate concerns about their child’s development in up to 80% of children with autism spectrum disorder (ASD). They often notice symptoms related to ASD around the first two years, but the average age of diagnosis is 3.5 years old. This study examined the relationships between parents’ early concerns and the time lag between suspicion and diagnosis. Forty-eight Spanish-speaking families were enrolled in this study. Parents were asked about early signs that made them think that their child could possibly have ASD. Mediation analyses showed that the child’s age at suspicion mediated between sibling status and the time lag between suspicion and a formal diagnosis (β = –.53, p < .01). Having another child with typical development accelerated parents’ detection of ASD signs (β = –.62, p < .001). The number of social-communication concerns that parents detected mediated this relationship (β = –.28, p < .01). Parents who reported more social-communication concerns perceived these signs earlier, but have to cope with a longer time lag until diagnosis than those who reported more concerns related to restrictive and repetitive behaviors and interests, or other developmental concerns. Moreover, this relationship between concerns of ASD and the diagnoses was explained by the child’s age. Training pediatricians on how to respond to parent questions and concerns could reduce the time lag between parents’ concerns and diagnosis of ASD.

Video analysis is effective for changing the instructional practices of a variety of special educators in different settings and contexts; however, questions remain regarding whether (a) intervention characteristics moderate the results, (b) effects are differentiated by type of dependent variable, and (c) student outcomes improve when video analysis is used to improve educators’ skills. This meta-analysis reports the overall impact that video analysis has on student outcomes as well as the differential impact on special educator outcomes by dependent variable and implementation variables (i.e., length of videos, number of intervention videos, primary evaluator, and timing of feedback). A total of 30 publications reported outcomes for special education preservice teachers, in-service teachers, and paraprofessionals; of these, 12 publications reported student outcomes. Results are positive and indicate that video analysis is effective for improving student outcomes and that it can be successfully implemented in a variety of ways.

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We discuss three points relevant to Kissine's (2021) target article on autism spectrum disorder (ASD) and its implications for theories of language acquisition. First, we argue that individuals with ASD do have social communication abilities and that these are linked to their language abilities; therefore, ASD does not provide evidence that language competence and language use are dissociable. Second, we argue that typically developing children show remarkable abilities to learn new words in noninteractive situations, and thus these abilities are not unique to ASD. Third, we point out that even noninteractive situations can serve as models for, and can implicate, children's social communication abilities. In sum, we agree with Kissine that children (with and without ASD) are skilled language learners, able to take diverse paths to learning and to benefit from many different kinds of learning situations. However, as to whether these abilities in themselves demonstrate a threat to constructionist approaches to language acquisition, we do not think that Kissine has accrued a compelling case.

The coaching service delivery model is often implemented within parent-mediated interventions for infants at an elevated likelihood of autism spectrum disorder. However, less is known about the exact coaching behaviors used within intervention sessions. Therefore, we examined the coaching behaviors implemented within the adaptive responsive teaching intervention. We also investigated the associations between coaching behaviors and parent education levels and the associations between the coaching behaviors and a parent outcome, that is, parent responsiveness. Results indicated that the interventionists demonstrated joint interaction and child-focused behaviors the most frequently. The interventionists much less frequently demonstrated guided practice, caregiver practice, and problem-solving behaviors. The use of joint interaction behaviors was positively associated with parent education levels, whereas the use of child-focused behaviors was negatively associated with parent education level. More information sharing by the interventionists predicted a greater change in parent responsiveness, whereas more child-focused behaviors predicted less change in parent responsiveness.