Does baseline language ability predict response to early intervention for toddlers with early signs of autism? Evidence from a caregiver-mediated program
Low-starting toddlers make parents learn faster, while high-receptive toddlers show better child gains in Social ABCs.
01Research in Context
What this study did
The team asked: does a toddler’s starting language shape how well caregiver coaching works?
They ran a randomized trial of Social ABCs, a parent-mediated program for toddlers showing early autism signs.
Kids were split by baseline communication level, then tracked for caregiver mastery and child responsivity.
What they found
Toddlers who began with the lowest communication pushed parents to master the coaching skills fastest.
Kids with stronger receptive language at intake showed better child responsivity later.
Same program, two opposite patterns: low starters fuel parent growth, high starters fuel child growth.
How this fits with other research
Song et al. (2022) saw the same link in older preschoolers—baseline expressive language alone predicted later gains, not IQ or autism severity.
Roberts et al. (2023) also ran a caregiver-language RCT and found responsive coaching beat directive coaching for parent strategy use, matching the Social ABCs focus on parent skill.
Jones et al. (2024) flips the style advice: their directive NDBI trial outperformed responsive for toddler language, showing the “best coach style” question is still open.
Together the set shows child language level drives gains, but the how-to-coach recipe is not settled.
Why it matters
Screen toddler receptive and expressive levels before you pick parent-training goals. If language is minimal, expect parents to learn fast—use them as the primary change agent. If receptive scores are solid, target child responsivity directly and push conversational turn-taking. Either way, start early; baseline language keeps proving itself as the top forecast tool.
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02At a glance
03Original abstract
Caregiver-mediated interventions (CMIs) for young autistic children are supported by mounting evidence of efficacy. Attempts to identify child-level factors that predict treatment response have yielded inconsistent findings, with very few such studies focused on the toddler age range. Secondary analysis of data from a randomized control trial (NCT03215394) was conducted to explore predictive relationships between toddlers’ communication-related abilities and response to treatment in a CMI program. Participants. Sixty-seven toddler-caregiver dyads (62 mothers, 4 fathers, 1 grandmother) participated across three Canadian sites. Participating toddlers (52 boys, 15 girls) had a diagnosis of autism or early signs thereof and ranged in age from 18 to 32 months (M = 25.95 months). All dyads participated in a 12-week CMI (the Social ABCs). Communication-related skills were assessed at baseline using a direct standardized assessment of expressive language, a caregiver interview to capture receptive and expressive communication, and a parent-report inventory to document words used and understood. Analyses. A series of regressions with simple mediation analyses were performed to identify communication-related predictors of intervention change scores for caregiver fidelity and toddler outcomes. In all cases, toddler age was entered as a mediator to explore any influence on these relationships. Results. Toddlers’ functional communication inversely predicted their caregivers’ mastery of program strategies. Specifically, lower toddler functional receptive and expressive communication predicted larger gains in caregivers’ strategy use. Conversely, higher baseline (receptive but not expressive) communication-related skills predicted greater gains in toddlers’ responsivity. Trends emerged for prediction of toddler smiling and social orienting. The clinical measure selected for this study did not predict outcomes. Caregiver-reported information about toddler communication-related skills was informative for predicting the primary program outcomes. Findings may be helpful in informing clinical triage decisions and personalizing intervention approaches.
Frontiers in Human Neuroscience, 2026 · doi:10.3389/fnhum.2026.1704374