This study examined an insufficiently studied predictor of functional language, social motivation, in a group of 87 young children with autism spectrum disorder. Participants (age 14–31 months at the start of the study) were assessed at four times over 24 months. We tested total and indirect associations between early social motivation and later expressive language to understand the behavioral mechanisms by which social motivation might affect functional language development. Results from this study show that early social motivation predicts functional language 2 years later in young children with autism spectrum disorder. In addition, this positive longitudinal association is serially mediated by intentional communication and then receptive language. These findings are consistent with the elicited bootstrapping hypothesis which proposes that children with relatively stronger social motivation produce more intentional communication. This, in turn, elicits others’ linguistic input which impels receptive language development. This process eventually results in relatively increased expressive language development. Lay About one-third of children with autism spectrum disorder never develop the language that they need in different day-to-day situations. Identifying potential factors that can predict later language development is crucial to understanding why some children with autism spectrum disorder successfully develop language while others do not. This study sought to investigate one of the understudied predictors of language development, social motivation, and to test theories for why this association may occur. Testing the theories requires that we measure children’s ability to deliberately and directly communicate with others (i.e. intentional communication) and children’s language understanding between the measures of social motivation and later expressive language. We tested 87 children with autism spectrum disorder, aged 14–31 months, at four times over 24 months. We found that children with relatively stronger social motivation had relatively better language use 2 years later. This positive link was partly due to a child’s ability to produce intentional communication and to understand language. Although we did not measure parents’ talking to their children, a theory that inspired this study suggests that children who use frequent intentional communication probably motivate others to talk with them frequently, which facilitates children’s language understanding which leads to the development of expressive language. This theory, if confirmed to be true, can provide guidance for parents who want to help their children learn to talk. Parents could look for intentional communication from their children and respond by talking to their children. Effective intervention on both parent and child targets will likely enhance treatment efficacy. Future work is needed to test these ideas.

This study explores vocal development as an early marker of autism, focusing on canonical babbling rate and onset, typically established by 7 months. Previous reports suggested delayed or reduced canonical babbling in infants later diagnosed with autism, but the story may be complicated. We present a prospective study on 44 infants later diagnosed with autism spectrum disorder compared with 127 infants later identified as typically developing who were followed longitudinally with day-long recordings from 0 to 13 months. Eight 5-min segments from each of their recordings were coded for canonical and noncanonical syllables. The results confirmed many reports that canonical babbling is a robust feature of human vocal development in the first year of life, with small overall mean differences in canonical babbling rates between the autism spectrum disorder and typically developing groups beginning around 9 months, primarily in males. Our findings highlight the importance of considering sex differences in vocal communication as part of the early detection and diagnosis of autism when determining the need for communication supports to maximize outcomes. Lay Our study examined how babies develop their ability to talk to help identify early signs of autism. We looked at babies’ production of babbling with mature syllables across the first year of life. Babies usually start producing mature babbling at 7 months of age before they say their first words. Some studies have suggested that babies who are later diagnosed with autism produce this kind of babbling less frequently in their first year of life, but other studies have shown complicated outcomes. In this new study, we followed 44 autistic babies and compared them to 127 typically developing babies. We recorded the babies once every month, all day long, from the time that they were born until they were around 13 months old. Then, we studied their mature babbling from segments of these recordings. We found that the rate at which babies used mature babbling was lower in boys with autism, and higher in girls with autism, compared to babies without autism. This research helps us understand how babies with autism learn to talk. It also raises important questions about differences between boys and girls with autism. Our study can help us improve how scientists and clinicians can identify autism earlier, which could lead to better communication supports for autistic children and their families.

Purpose: The purpose of this study was to identify and describe latent dual language profiles in a large sample of school-age Spanish–English bilingual children designated as English learners (ELs) by their school district. Method: Data for this study include 847 Spanish-speaking ELs from kindergarten to third grade. Spanish and English narrative retell language samples were collected from all participants. Four oral language measures were calculated in Spanish and English, including the subordination index, moving average type–token ratio, narrative structure scheme (NSS), and words per minute using Systematic Analysis of Language Transcript. These indicator measures were used in a latent profile analysis to identify dual language profiles. Results: The optimal model represents a four-profile solution, including a Spanish-dominant group (average Spanish, low English), an English-dominant group (low Spanish, average English), and two balanced groups (a balanced-average group and a balanced-high group). Additionally, participants displayed uneven performance across language domains and distinct patterns of unique strength or weakness in a specific domain in one of their two languages. Conclusions: Findings from this study highlight the large variability in English and Spanish oral language abilities in school-age Spanish-speaking ELs and suggest that a dichotomous classification of ELs versus English-proficient students may not be sufficient to determine the type of educational program that best fits a specific bilingual child's need. These findings highlight the need to assess both languages across multiple language domains to paint a representative picture of a bilingual child's language abilities. The dual language profiles identified may be used to guide the educational program selection process to improve the congruence among the linguistic needs of an individual child, teachers' use of instructional language, and the goals of the educational program (i.e., improving English proficiency vs. supporting dual language development). Supplemental Material: https://doi.org/10.23641/asha.20151836