Abstract
Objective:
To examine whether deaf or hard of hearing children who have hearing parents can develop age-level vocabulary skills when they have early exposure to a sign language.
Study Design:
This cross-sectional study of vocabulary size included 78 deaf or hard of hearing children between 8- and 68-months-old who were learning American Sign Language (ASL) and had hearing parents. Children who were exposed to ASL before 6- months-old or between 6- and 36-months-old were compared to a reference sample of 104 deaf and hard of hearing children who have deaf, signing parents.
Results:
Deaf and hard of hearing children with hearing parents who were exposed to ASL in the first six months of life had age-expected receptive and expressive vocabulary growth. Children who had a short delay in ASL exposure had relatively smaller expressive but not receptive vocabulary sizes, and made rapid gains.
Conclusions:
Though hearing parents generally learn ASL alongside their deaf children, their children can develop age-expected vocabulary skills when exposed to ASL during infancy. This evidence that deaf children with hearing parents can predictably and consistently develop age-level vocabularies at rates similar to native signers is important because early vocabulary skills are robust predictors of development across domains.
Introduction
Language learning in early childhood is critical for communication and social interaction, but has even more far-reaching effects on child development. All languages, including sign languages like American Sign Language (ASL), can equally support healthy child development. Except in extreme cases of abuse,1 early exposure to language is virtually guaranteed for hearing children. Most prelingually deaf and hard of hearing children, however, are at risk of limited access to language early in life, because they cannot hear spoken language and their parents generally do not know a sign language like ASL. Delayed first language acquisition has a host of negative consequences across domains.2–10 As such, language—not simply hearing—is a critical outcome of any rehabilitation for deaf children.
Despite substantial advances in hearing technology and early intervention, most deaf and hard of hearing children do not develop age-expected spoken language skills.16,18–26 Although some known factors can affect children’s odds of learning spoken language (e.g., age of implantation),17 spoken language outcomes are nevertheless highly variable, unpredictable, and often below age-level even after following the American Academy of Pediatrics early intervention guidelines.16,18–26 This raises the concern that without age-appropriate skills in another first-language (e.g., ASL), early language delays may set the stage for further language and cognitive delays.
Deaf children born to deaf parents who use a sign language have unfettered access to language during infancy, and thus are spared the effects of language deprivation.11–13, 55–56 However, 95% of deaf children are born to hearing parents14 who do not know a sign language when their child is born.15 Many organizations in the U.S. recommend that families consider learning ASL, but some argue that hearing parents are likely unable or unwilling to learn a new language to communicate with their child.16 On the whole, sign language outcomes among children with hearing parents are variable.57–61 The conditions necessary and/or sufficient for deaf and hard of hearing children to develop age-appropriate ASL skills remain unknown. We sought to determine:
What is the trajectory of ASL vocabulary acquisition for deaf and hard of hearing children with hearing parents?
Can deaf and hard of hearing children with hearing parents acquire age-appropriate ASL vocabularies when they begin acquiring ASL in infancy?
Methods
Participants
The Boston University Institutional Review Board approved this cross-sectional study. Inclusion criteria were: (1) parents were hearing and had a deaf or hard of hearing child; (2) children were learning ASL; and (3) children were between 8 months and 5 years old. Because the target population is small, rather than setting a target sample size, our goal was to recruit as many participants as possible in the study period (June 2017 – December 2019). Three families with slightly older children requested to participate, and were included. The target population is hard-to-reach: deaf and hard of hearing children who use ASL are a subset of a low-incidence population, there is no registry from which to sample, and clinic-based sampling plans may systematically underrepresent children who are learning sign language who may not use hearing technology or receive speech therapy. As such, we used snowball sampling and social media advertisements to recruit participants. Recruitment notices were also sent to ASL-based parent-infant programs. To confirm parents’ basic knowledge of ASL, parents completed a three-question vocabulary check, in which they watched a slow motion video of three ASL signs that new signers would likely know (MOTHER, NAME, and DEAF) and were asked to type in the meaning of the sign. If parents did not know any items, we called to confirm that families met the inclusion criteria.
We recruited 124 hearing parents with deaf and hard of hearing children from 28 US states and two Canadian provinces. Thirteen participated in the study twice while their child was still within the target age range. The average age was 35 months (median = 34; range 9–67 months). We chose the age range to correspond with the age range of the assessment tool (the ASL-CDI 2.0). A total of 46 reports from children who had additional diagnoses related to language acquisition (e.g. CHARGE syndrome, Down Syndrome, or Autism Spectrum Disorder; n = 35) and/or who were blind or had low vision (n = 30) were tested but excluded from all following analyses. Children with other diagnoses (e.g., conditions that impact fine-motor or visual-motor coordination) were included. The unusually high rate of additional diagnoses (34% in our sample versus 10% in the CDaCI database of deaf and hard of hearing children with cochlear implants; Fink et al., 2007) may mirror population-wide patterns in comorbidity. Alternatively deaf and hard of hearing children with no additional diagnoses may not be referred to programs that use ASL. The final sample included 88 reports from 78 children with hearing parents (55% female, 40% male, 6% did not report). The racial breakdown was: 9% African American or Black, 6% Asian, 2% Native American, 78% White, 1% Multiracial (3% did not report). Participant ethnicities were: 11% Hispanic/Latinx, 88% Not Hispanic/Latinx (1% did not report).
Reports were divided into two groups: those from children exposed to ASL between birth and 6 months (n = 69, average age of ASL exposure = 1.22 months) and those from children exposed after 6 months (n = 19; average age of ASL exposure = 22.5 months, range of ASL exposure = 6 months - 36 months). We chose the 6 month cut off because: (1) it is the earliest age at which children begin to learn word meanings,64 and (2) current AAP recommendations for deaf and hard of hearing children suggest that they receive language intervention by age 6 months.
Measures
Parents gave informed consent, and completed an online questionnaire about the child’s language background, then completed the ASL-CDI 2.0, an authorized ASL adaptation of the MacArthur Bates Communicative Development Inventory. MacArthur Bates Communicative Development Inventories are a gold standard assessment of early language, and have been used in thousands of studies of early language, including several studies of deaf children, and is widely used in clinical settings. Critically, validation work on this instrument indicates that hearing, signing parents can reliably complete the ASL-CDI 2.0.63 In this assessment, parents viewed a video of each of 534 signs, and indicated whether their child did not know, understood, or understood and produced the sign. Parents could view an English translation of the sign as needed. All questions and instructions were presented in ASL and in written English. Parents completed the ASL-CDI 2.0 in three self-paced parts within one week. They were compensated $25 per section, plus a $15 completion bonus. Vocabulary scores were calculated as a proportion of the signs the child knew of the questions the parent answered due to missing data. Incomplete reports in which parents answered fewer than 30 items (6% of the test) were excluded (n = 3). Proportion of known signs on a subset of as few as 30 items on the MB-CDI are generally highly correlated with proportion of known signs on the whole test.63,65 Using proportions rather than counts allows us to exclude signs the parent does not know from the child’s score, which mitigates concerns that parents may indicate a child does not know a sign simply because the parent does not know the sign. The median number of answers the parents provided was 508 (min = 58, first quartile = 437.5). Data, with identifiable information redacted, are available at https://osf.io/s6y4w/.
Results
Patterns of Language Use in the Home
Children’s language backgrounds varied (Table 1). Some had no sources of ASL exposure other than a parent, and some had many signing family members and friends. While a handful of primary caregivers (n = 6) learned ASL in childhood, most learned as adults.
Table 1.
Parent reported language use and background variables for reports from deaf and hard of hearing children with hearing parents
| Early | Late | Χ | t | df | p | ||
|---|---|---|---|---|---|---|---|
| n = 69 | n = 19 | ||||||
| Dominant language during family activities | 0.86 | 3 | 0.84 | ||||
| ASL | 7 (10%) | 2 (11%) | |||||
| English | 7 (10%) | 2 (11%) | |||||
| Mix of ASL and English | 52 (75%) | 15 (79%) | |||||
| Did not report | 3 (4%) | 0 | |||||
| Child’s frequency of ASL use | 0.59 | 3 | 0.90 | ||||
| Always | 23 (33%) | 6 (32%) | |||||
| Often | 26 (28%) | 6 (32%) | |||||
| Sometimes | 16 (23%) | 6 (32%) | |||||
| Rarely | 4 (6%) | 1 (5%) | |||||
| Never | 0 | 0 | |||||
| Child’s use of hearing technology | 5.44 | 4 | 0.25 | ||||
| Hearing Aids | 24 (35%) | 9 (47%) | |||||
| Cochlear Implants | 6 (9%) | 2 (11%) | |||||
| Both | 18 (26%) | 3 (16%) | |||||
| None | 21 (30%) | 4 (21%) | |||||
| Did not report | 0 | 1 (5%) | |||||
| Child’s deaf family members | 0.23 | 3 | 0.97 | ||||
| None | 39 (57%) | 10 (53%) | |||||
| Siblings | 12 (17%) | 3 (16%) | |||||
| Extended Family | 9 (13%) | 3 (16%) | |||||
| Did not report | 9 (13%) | 3 (16%) | |||||
| Child’s participation in early intervention | 5.49 | 2 | 0.06 | ||||
| Currently Enrolled | 47 (68%) | 18 (95%) | |||||
| Not Currently Enrolled | 20 (29%) | 1 (5%) | |||||
| Did not report | 2 (3%) | 0 | |||||
| Primary caregiver’s level of education | <0.01 | 1 | 1.00 | ||||
| Some College | 61 (88%) | 17 (89%) | |||||
| No College | 8 (12%) | 2 (11%) | |||||
| Child’s hearing level | 1.82 | 1 | 0.18 | ||||
| mild/moderate | 16 (23%) | 8 (42%) | |||||
| severe/profound | 53 (77%) | 11 (58%) | |||||
| Child’s ability to understand spoken English (0–5) | 2.09 (1.83) | 1.78 (1.83) | 0.66 | 27.6 | 0.52 | ||
| Age primary caregiver began learning ASL | 23.6 (9.38) | 29.2 (5.99) | 1.47 | 32.6 | 0.15 | ||
| Primary caregiver’s self-reported ASL skill (1–10) | 5.45 (2.46) | 4.61 (2.13) | −2.90 | 37.6 | 0.01 | ||
We compared the participants in this study to a published normative dataset of deaf and hard of hearing children learning ASL under ideal conditions from their deaf signing parents (nchildren = 104, nrecords = 142).63 These children generally acquire language along a similar trajectory as typically-developing hearing children, and provide a reference point for healthy ASL vocabulary acquisition. We first provide a data visualization, and then statistical analyses.
Data Visualization
If deaf and hard of hearing children with hearing parents can successfully acquire ASL vocabulary, their development should overlap with the children with deaf signing parents completely (i.e., ~68% of the data between +/− one standard deviation, equally distributed above and below the mean). This pattern was borne out when we plotted vocabulary size by age for the children who began learning ASL before 6 months; the distribution was nearly identical to that of deaf and hard of hearing children with deaf signing parents (Figure 1). This provides initial evidence that deaf and hard of hearing children with hearing parents develop age-appropriate ASL vocabulary if exposed in infancy. For children who began learning ASL after 6 months the distribution was more dispersed and shifted downward.
Figure 1.

Deaf and hard of hearing children’s ASL vocabularies by age (light grey) or language age (age – age of ASL exposure; dark grey). Red, yellow, and blue lines indicate the normal range (16th, 50th, and 84th percentile) for deaf and hard of hearing children with deaf, fluent signing parents. Points jittered for anonymity.
To examine the effects of age of exposure on vocabulary development, we calculated children’s language age (age at test minus age of ASL exposure). The outcomes for children who began learning ASL before 6 months were even better when considering language age; almost all children fell within the expected range for their language age (Figure 1). The children who began learning ASL after 6 months still had a more dispersed distribution relative to the normative sample, and some had even larger vocabularies than the norming sample at the onset of learning which would indicate a more rapid pace of vocabulary acquisition when acquisition begins at an older age.
Statistical Analyses
Using the R packages lme4 and sjPlot, we analyzed vocabulary scores using mixed-effects linear regressions for expressive and receptive vocabulary as measured by the proportion of signs the child knew (Table 2). P-values were computed using the Kenward-Roger approximation for the degrees of freedom, and p-values below .05 were used to determine significance. We compared vocabulary growth in the norming sample to each group of deaf and hard of hearing children with hearing parents (exposed before six months versus norming sample, and exposed after six months versus norming sample) using an age by group interaction. Group was dummy coded, with the normative sample as the reference group. The model also included random effects of child.
Table 2.
Model of proportion of signs known. Reference group was deaf and hard of hearing children with deaf parents.
| Expressive vocabulary size | Receptive vocabulary size | |||||
|---|---|---|---|---|---|---|
| Predictors | Estimates | CI | p | Estimates | CI | p |
| (Intercept) | −0.14 | −0.23 – −0.04 | 0.004 | 0.32 | 0.23 – 0.42 | <0.001 |
| Age | 0.02 | 0.02 – 0.02 | <0.001 | 0.01 | 0.01 – 0.02 | <0.001 |
| Exposed Before 6 Months | 0.02 | −0.14 – 0.18 | 0.80 | −0.17 | −0.33 – −0.01 | 0.03 |
| Exposed After 6 Months | 0.12 | −0.24 – 0.49 | 0.51 | −0.15 | −0.49 – 0.19 | 0.39 |
| Age * Exposed Before 6 Months | −0.00 | −0.01 – 0.00 | 0.06 | 0.00 | −0.00 – 0.01 | 0.71 |
| Age * Exposed After 6 Months | −0.01 | −0.02 – −0.00 | 0.01 | −0.00 | −0.01 – 0.00 | 0.23 |
| Random Effects | ||||||
| σ | 0.01 | 0.05 | ||||
| τ00 | 0.03 Child | 0.00 Child | ||||
| ICC | 0.69 | 0.08 | ||||
| N | 182 Child | 182 Child | ||||
| Observations | 230 | 230 | ||||
| Marginal R / Conditional R | 0.551 / 0.863 | 0.435 / 0.479 | ||||
As expected, age was a robust predictor of expressive and receptive vocabulary. Group was not a significant predictor, with the exception of a difference in receptive vocabulary in early-exposed children relative to the norming sample. However, the critical term in the regression is the interaction between groups and chronological age. If either group had slower than expected vocabulary growth, we would expect a significant interaction between age and group, i.e. the effect of age would be weaker in that group compared to the normative sample. In contrast, if children’s vocabularies are developing at an age-appropriate rate, the interaction term between age and group would not be significant. In the early exposed group, analysis revealed that vocabulary growth, as illustrated in the interaction between age and group, was not significantly different from the normative sample for either receptive or expressive vocabulary. In the later exposed group, the interaction term was not significant for receptive vocabulary, but was significant for expressive vocabulary. Together, our statistical analysis and visualization of the data suggest that early exposed deaf and hard of hearing children with hearing parents show ASL vocabulary sizes and rates of vocabulary growth that largely resemble those of deaf and hard of hearing children with deaf parents.
Discussion
This study reports the first evidence that deaf and hard of hearing children with hearing parents can reliably develop chronological age-expected vocabulary skills given the right language learning environment. While prior research with children with longer delays in age of ASL exposure has shown highly variable language outcomes among deaf and hard of hearing children with hearing parents,57–61 we found that children who begin learning ASL by six months old largely develop strong vocabularies at the same rate as native-signing children.
Children exposed early to ASL generally successfully learned ASL vocabulary. Their expressive vocabularies were equivalent to those of native-signing children. They had statistically smaller receptive vocabularies relative to native-signing children, but as illustrated in the data visualization the difference is small, and the distribution largely mirrors the normative sample (Figure 1). These results counter the argument that hearing parents should not attempt to learn ASL because they cannot acquire the fluency to become strong language models. Hearing parents varied widely in their ASL fluency, and most reported only moderate skills. This variation makes the similarity in vocabulary acquisition between children of hearing and deaf parents all the more striking. Children’s success in learning ASL may or may not be primarily attributable to parents’ ASL proficiency; hearing parents may support their children’s language development in many ways, both directly (learning and using ASL with their deaf or hard of hearing child) and indirectly (e.g., enrolling their child in early intervention that uses ASL, using a fluent signing childcare-provider, or seeking out a signing peer group).
Deaf and hard of hearing children who began learning ASL between six and thirty-six months had more variable, smaller expressive vocabularies than children with deaf signing parents, though the sample size in this group was relatively small (n = 19). However, when considering their “language age” their vocabularies were variable but often larger than expected (i.e., a four-year-old who had been learning ASL for 12 months knew more signs than the average 12-month-old infant in the normative sample). This pattern aligns with that reported in studies of individuals with long delays in first-language exposure and of international adoptees adopted between two- and five-years old, for whom vocabulary acquisition is generally faster than that observed among infants.66,67 Importantly, though language exposure was somewhat delayed, the children in this study all began learning ASL before age three, which is earlier than children in most studies of delayed language exposure whose outcomes are generally poor.2,6,66,68–70
The success learning ASL stands in marked contrast to highly variable, generally poor outcomes with spoken English vocabulary acquisition reported in the literature. Figure 2 illustrates all the published reports of expressive spoken English vocabulary size estimates for deaf and hard of hearing children that used the English MacArthur Bates Communicative Development Inventory: Words and Sentences assessment.4,5,45–52 With few exceptions,43–44 studies show that deaf and hard of hearing children generally have smaller spoken English vocabularies than age-matched hearing peers.27–42 ASL exposure appears to be a more reliable means of developing age-expected vocabularies than interventions focused on spoken English.
Figure 2.

Deaf and hard of hearing children’s English vocabularies (yellow dots and vertical lines) compared to hearing norms (growth curves).53,54 Dot size corresponds to sample size. Yellow = mean or 50th percentile; blue = one SD below the mean or the 16th percentile; red = one SD above the mean or the 84th percentile.
Directions for further work
We could not determine whether early exposure to ASL is sufficient for optimal vocabulary development, or if families who begin using ASL before six months are unique in ways that make them better able to support ASL acquisition (e.g., affinity for signing, or access to early intervention). More work is needed to determine the specific environmental conditions necessary for language success, including the threshold amount of ASL exposure needed, the proficiency of the language models, and the age of the child at first exposure. Additionally, the children in this study were predominantly white and well-educated, and may have disproportionately high access to resources (e.g., high quality early intervention), the children in this sample may be advantaged relative to the population of all deaf and hard of hearing children.
Though early vocabulary size is generally a robust predictor of many aspects of language proficiency, cognitive development, and academics,71–73 more work is needed to determine whether exposure to ASL during infancy can lead to typical development across these domains. Individuals with severely delayed exposure to a first language can rapidly learn vocabulary but lag in other areas of language acquisition.66
Though hearing parents can successfully complete the ASL-CDI 2.0, and similar vocabulary checklists have been used with children of hearing parents in a number of other studies,63,66 it remains possible that hearing parents underreport their children’s vocabulary because of limitations in their own vocabularies. Notably, if this is the case, the outcomes among deaf and hard of hearing children with hearing parents presumably would be better than we estimated here.
Conclusion
Readers may be convinced that children can successfully develop ASL vocabulary skills, but fail to see the utility of ASL proficiency when most of the world uses a spoken language like English. First, learning ASL at an early age does not preclude learning English--in fact, preliminary evidence suggests that children with early exposure to ASL from deaf parents have comparable spoken English skills to their hearing peers,74,75 While ability to use a majority language is undoubtedly useful, early mastery of any first language is critical for both communication and child development. Deaf and hard of hearing children are not guaranteed to master a first language if they are exposed to spoken language alone. Early exposure to ASL may offer families a reliable way to ensure timely language and cognitive development.
Despite substantial gains in technology and early intervention, limited language exposure during childhood often significantly harms deaf and hard of hearing children’s development. Until now there has been no documented language learning environment that reliably leads to age-appropriate development. Despite robust evidence for successful outcomes among deaf and hard of hearing children with deaf parents, concerns have persisted that deaf and hard of hearing children with hearing parents may not have such successful outcomes, and learning ASL may be prohibitive.16 The evidence here may assuage concerns: deaf and hard of hearing children with hearing parents can consistently develop healthy ASL vocabularies, and--as there are no other environments that predictably lead to age-expected vocabulary growth--exposing children to ASL during infancy may well be worthwhile.
Supplementary Material
Acknowledgements
Gratitude to the parents and families who participated in this study. Thanks to Erin Spurgeon for organizing data collection, to Ethan Hartzell and Eric Alderman for helping create the parent portal, to Aiken Bottoms for contributing ASL versions of many questions and categories, and to Conrad Baer and Andrew Bottoms for creating ASL recruitment ads. Thank you to Milana Donatich for help selecting the items. Thanks also to Jessica Korhumel, Anna Lim Franck, Justin Bergeron, Brittany Farr, Michael Higgins, Tara Holcomb, Karianna Chamberlain, Alison Fitch, Deanna Gagne, Zoe Fieldsteel, Nicolette Pire, Megan Canne, Chelsea Hammond, and Julie Behar for their help preparing materials and in data collection. Thanks to Cindy O’Grady Farnady the use of her likeness as part of NSF BCS-1625954 and BCS-1918556. None of those acknowledged here have industry-relations, conflicts of interest, funding sources outside those identified above or in the funding section to report.
Funding Source: Research reported in this publication was supported by the National Institute on Deafness and Other Communication Disorders of the National Institutes of Health under Award Number R21DC016104 (NC), 1R01DC018279 (NC), and R01DC015272 (AL). Grant 1R01DC018279 was partially funded by the NIH Office of Behavioral and Social Sciences Research. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. This work is also supported by a James S. McDonnell Foundation Award to Jennie Pyers, and National Science Foundation grants BCS 1625793 and 1918252 to Naomi Caselli.
Footnotes
Conflict of Interest: The authors report no conflicts of interest.
Data Sharing Statement: Deidentified individual participant data are available at https://osf.io/s6y4w/ in the Supplementary Material, with the exception of participants who did not consent to data sharing. Because of the small population size, demographic details were excluded to obscure identities.
References
- 1.Curtiss S Genie: A psycholinguistic study of a modern-day wild child. Academic Press; 2014. [Google Scholar]
- 2.Mayberry RI, Kluender R. Rethinking the critical period for language: New insights into an old question from American Sign Language. Bilingualism: Language and Cognition. 2018;21:886–905. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Anderson ML, Craig KSW, Hall WC, Ziedonis DM. A pilot study of deaf trauma survivors’ experiences: Early traumas unique to being deaf in a hearing world. Journal of child & adolescent trauma. 2016;9:353–358. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Topol D, Girard N, Pierre LS, Tucker R, Vohr B. The effects of maternal stress and child language ability on behavioral outcomes of children with congenital hearing loss at 18–24 months. Early Hum Dev. 2011;87:807–811. [DOI] [PubMed] [Google Scholar]
- 5.Barker DH, Quittner AL, Fink NE, Eisenberg LS, Tobey EA, Niparko JK., et al. Predicting behavior problems in deaf and hearing children: The influences of language, attention, and parent–child communication. Dev Psychopathol. 2009;21:373–392. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Pénicaud S, Klein D, Zatorre RJ, Chen JK, Witcher P, Hyde K., et al. Structural brain changes linked to delayed first language acquisition in congenitally deaf individuals. Neuroimage. 2013;66:42–49. [DOI] [PubMed] [Google Scholar]
- 7.Hall ML, Eigsti I, Bortfeld H, Lillo-Martin D. Auditory deprivation does not impair executive function, but language deprivation might: Evidence from a parent-report measure in deaf native signing children. The Journal of Deaf Studies and Deaf Education. 2016;22:9–21. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Schick B, De Villiers P, De Villiers J, Hoffmeister R. Language and theory of mind: A study of deaf children. Child Dev. 2007;78:376–396. [DOI] [PubMed] [Google Scholar]
- 9.Balow IH, Brill RG. An evaluation of reading and academic achievement levels of 16 graduating classes of the California School for the Deaf, Riverside. The Volta Review. 1975. [Google Scholar]
- 10.Henner J No title. The relationship between American Sign Language vocabulary and the development of language-based reasoning skills in deaf children. 2016.
- 11.Bellugi U, Klima ES. The acquisition of three morphological systems in American Sign Language. 1982.
- 12.Petitto LA, Marentette PF. Babbling in the manual mode: Evidence for the ontogeny of language. Science. 1991;251:1493–1496. [DOI] [PubMed] [Google Scholar]
- 13.Petitto LA. The acquisition of natural signed languages: Lessons in the nature of human language and its biological foundations. Language acquisition by eye. 2000:41–50. [Google Scholar]
- 14.Mitchell RE, Karchmer M. Chasing the mythical ten percent: Parental hearing status of deaf and hard of hearing students in the united states. Sign Language Studies. 2004;4:138–163. [Google Scholar]
- 15.Mitchell RE, Karchmer MA. Parental hearing status and signing among deaf and hard of hearing students. Sign Language Studies. 2005;5:231–244. [Google Scholar]
- 16.Geers AE, Mitchell CM, Warner-Czyz A, Wang N, Eisenberg LS, CDaCI Investigative Team. Early sign language exposure and cochlear implantation benefits. Pediatrics. 2017;140. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Szagun G, Schramm SA. Sources of variability in language development of children with cochlear implants: Age at implantation, parental language, and early features of children’s language construction. J Child Lang. 2016;43:505–536. [DOI] [PubMed] [Google Scholar]
- 18.Ambrose SE, Walker EA, Unflat-Berry LM, Oleson JJ, Moeller MP. Quantity and quality of caregivers’ linguistic input to 18-month and 3-year-old children who are hard of hearing. Ear Hear. 2015;36:48S. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Ambrose SE, VanDam M, Moeller MP. Linguistic input, electronic media, and communication outcomes of toddlers with hearing loss. Ear Hear. 2014;35:139. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Koehlinger KM, Van Horne, Amanda J Owen, Moeller MP. Grammatical outcomes of 3-and 6-year-old children who are hard of hearing. Journal of Speech, Language, and Hearing Research. 2013. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Lewis DE, Kopun J, McCreery R, Brennan M, Nishi K, Cordrey E, et al. Effect of context and hearing loss on time-gated word recognition in children. Ear Hear. 2017;38:e180. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Tomblin JB, Oleson J, Ambrose SE, Walker EA, Moeller MP. Early literacy predictors and Second‐Grade outcomes in children who are hard of hearing. Child Dev. 2020;91:e179–e197. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Hall ML, Dills S. The limits of “Communication mode” as a construct. The Journal of Deaf Studies and Deaf Education. 2020. [DOI] [PubMed] [Google Scholar]
- 24.Eisenberg LS, Fisher LM, Johnson KC, Ganguly DH, Grace T, Niparko JK, et al. Sentence recognition in quiet and noise by pediatric cochlear implant users: Relationships to spoken language. Otology & neurotology: official publication of the American Otological Society, American Neurotology Society [and] European Academy of Otology and Neurotology. 2016;37:e75. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Hoffman M, Tiddens E, Quittner AL, CDaCI Investigative Team. Comparisons of visual attention in school-age children with cochlear implants versus hearing peers and normative data. Hear Res. 2018;359:91–100. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Tobey EA, Thal D, Niparko JK, Eisenberg LS, Quittner AL, Wang NY, et al. Influence of implantation age on school-age language performance in pediatric cochlear implant users. International journal of audiology. 2013;52:219–229. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Lund E Vocabulary knowledge of children with cochlear implants: A meta-analysis. Journal of Deaf Studies and Deaf Education. 2016;21:107–121. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Cuenca G, Cervan L, Cuberos P. Do deaf learners reach the necessary linguistic comprehension? International Journal of Disability, Development and Education. 2020;67:92–106. [Google Scholar]
- 29.Rufsvold R, Wang Y, Hartman MC, Arora SB, Smolen ER. The impact of language input on deaf and hard of hearing preschool children who use listening and spoken language. Am Ann Deaf. 2018;163:35–60. [DOI] [PubMed] [Google Scholar]
- 30.Yoshinaga-Itano C, Sedey AL, Wiggin M, Chung W. Early hearing detection and vocabulary of children with hearing loss. Pediatrics. 2017;140:e20162964. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Mayer C, Watson L, Archbold S, Ng ZY, Mulla I. Reading and writing skills of deaf pupils with cochlear implants. Deafness & Education International. 2016;18:71–86. [Google Scholar]
- 32.Jones AC, Toscano E, Botting N, Atkinson JR, Denmark T, Herman R, et al. Narrative skills in deaf children who use spoken English: Dissociations between macro and microstructural devices. Res Dev Disabil. 2016;59:268–282. [DOI] [PubMed] [Google Scholar]
- 33.Jones A, Atkinson J, Marshall C, Botting N, St Clair MC, Morgan G. Expressive vocabulary predicts nonverbal executive function: A year longitudinal study of deaf and hearing children. Child Dev. 2020;91:e400–e414. [DOI] [PubMed] [Google Scholar]
- 34.Takahashi N, Isaka Y, Yamamoto T, Nakamura T. Vocabulary and grammar differences between deaf and hearing students. The Journal of Deaf Studies and Deaf Education. 2017;22:88–104. [DOI] [PubMed] [Google Scholar]
- 35.Oktapoti M, Okalidou A, Kyriafinis G, Petinou K, Vital V, Herman R. Investigating use of a parent report tool to measure vocabulary development in deaf Greek-speaking children with cochlear implants. Deafness & Education International. 2016;18:3–12. [Google Scholar]
- 36.Marshall CR, Jones A, Fastelli A, Atkinson J, Botting N, Morgan G. Semantic fluency in deaf children who use spoken and signed language in comparison with hearing peers. International journal of language & communication disorders. 2018;53:157–170. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Botting N, Jones A, Marshall C, Denmark T, Atkinson J, Morgan G. Nonverbal executive function is mediated by language: A study of deaf and hearing children. Child Dev. 2017;88:1689–1700. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Harris M, Terlektsi E, Kyle FE. Literacy outcomes for primary school children who are deaf and hard of hearing: A cohort comparison study. Journal of Speech, Language, and Hearing Research. 2017;60:701–711. [DOI] [PubMed] [Google Scholar]
- 39.Faes J, Gillis S. Expressive vocabulary growth after pediatric auditory brainstem implantation in two cases of spontaneous productions: A comparison with children with cochlear implants and typical hearing. Frontiers in pediatrics. 2019;7:191. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Caselli MC, Rinaldi P, Varuzza C, Giuliani A, Burdo S. Cochlear implant in the second year of life: Lexical and grammatical outcomes. Journal of Speech, Language, and Hearing Research. 2012. [DOI] [PubMed] [Google Scholar]
- 41.Connor CM, Craig HK, Raudenbush SW, Heavner K, Zwolan TA. The age at which young deaf children receive cochlear implants and their vocabulary and speech-production growth: Is there an added value for early implantation? Ear Hear. 2006;27:628–644. [DOI] [PubMed] [Google Scholar]
- 42.Fagan MK, Pisoni DB. Hearing experience and receptive vocabulary development in deaf children with cochlear implants. Journal of Deaf Studies and Deaf Education. 2010;15:149–161. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Hayes H, Geers AE, Treiman R, Moog JS. Receptive vocabulary development in deaf children with cochlear implants: Achievement in an intensive auditory-oral educational setting. Ear Hear. 2009;30:128–135. [DOI] [PubMed] [Google Scholar]
- 44.Luckhurst JA, Lauback CW, Unterstein VanSkiver AP. Differences in spoken lexical skills: Preschool children with cochlear implants and children with typical hearing. Volta Review. 2013;113. [Google Scholar]
- 45.Ambrose SE, Thomas A, Moeller MP. Assessing vocal development in infants and toddlers who are hard of hearing: A parent-report tool. Journal of deaf studies and deaf education. 2016;21:237–248. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Fagan MK. Cochlear implantation at 12 months: Limitations and benefits for vocabulary production. Cochlear implants international. 2015;16:24–31. [DOI] [PubMed] [Google Scholar]
- 47.Vohr B, Jodoin-Krauzyk J, Tucker R, Topol D, Johnson MJ, Ahlgren M, et al. Expressive vocabulary of children with hearing loss in the first 2 years of life: Impact of early intervention. Journal of Perinatology. 2011;31:274. [DOI] [PubMed] [Google Scholar]
- 48.Roberts MY, Hampton LH. Exploring cascading effects of multimodal communication skills in infants with hearing loss. The Journal of Deaf Studies and Deaf Education. 2018;23:95–105. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Castellanos I, Pisoni DB, Kronenberger WG, Beer J. Early expressive language skills predict long-term neurocognitive outcomes in cochlear implant users: Evidence from the MacArthur–Bates Communicative Development Inventories. American Journal of Speech-Language Pathology. 2016;25:381–392. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Jung J, Ertmer DJ. Grammatical abilities in young cochlear implant recipients and children with normal hearing matched by vocabulary size. American journal of speech-language pathology. 2018;27:751–764. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Thal D, DesJardin JL, Eisenberg LS. Validity of the MacArthur–Bates Communicative Development Inventories for measuring language abilities in children with cochlear implants. American Journal of Speech-Language Pathology. 2007. [DOI] [PubMed] [Google Scholar]
- 52.Nicholas JG, Geers AE. Expected test scores for preschoolers with a cochlear implant who use spoken language. American Journal of Speech-Language Pathology. 2008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Fenson L MacArthur-bates communicative development inventories. Paul H Brookes Publishing Company; Baltimore, MD; 2007. [Google Scholar]
- 54.Frank MC, Braginsky M, Yurovsky D, Marchman VA. Wordbank: An open repository for developmental vocabulary data. J Child Lang. 2017;44:677–694. [DOI] [PubMed] [Google Scholar]
- 55.Newport EL, Meier RP. The acquisition of American Sign Language. Lawrence Erlbaum Associates, Inc; 1985. [Google Scholar]
- 56.Woolfe T, Herman R, Roy P, Woll B. Early vocabulary development in deaf native signers: A British Sign Language adaptation of the communicative development inventories. Journal of Child Psychology and Psychiatry. 2010;51:322–331. [DOI] [PubMed] [Google Scholar]
- 57.Novogrodsky R, Henner J, Caldwell‐Harris C, Hoffmeister R. The development of sensitivity to grammatical violations in American Sign Language: Native versus nonnative signers. Language Learning. 2017;67:791–818. [Google Scholar]
- 58.Novogrodsky R, Fish S, Hoffmeister R. The acquisition of synonyms in American Sign Language (ASL) toward a further understanding of the components of ASL vocabulary knowledge. Sign Language Studies. 2014;14:225–249. [Google Scholar]
- 59.Herman R, Roy P. Evidence from the wider use of the BSL receptive skills test. Deafness & Education International. 2006;8:33–47. [Google Scholar]
- 60.Hermans D, Knoors H, Verhoeven L. Assessment of sign language development: The case of deaf children in the netherlands. Journal of Deaf Studies and Deaf Education. 2009;15:107–119. [DOI] [PubMed] [Google Scholar]
- 61.Maller S, Singleton J, Supalla S, Wix T. The development and psychometric properties of the American Sign Language proficiency assessment (ASL-PA). Journal of Deaf Studies and Deaf Education. 1999;4:249–269. [DOI] [PubMed] [Google Scholar]
- 62.Joint Committee on Infant Hearing. Year 2007 position statement: Principles and guidelines for early hearing detection and intervention programs. Pediatrics. 2007;120:898–921. [DOI] [PubMed] [Google Scholar]
- 63.Caselli NK, Lieberman AM, Pyers JE. The ASL-CDI 2.0: An updated, normed adaptation of the MacArthur bates communicative development inventory for American Sign Language. Behavior Research Methods. 2020:1–14. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.Bergelson E, Swingley D. At 6–9 months, human infants know the meanings of many common nouns. Proceedings of the National Academy of Sciences. 2012;109:3253–3258. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65.Mayor J, Mani N. A short version of the MacArthur–Bates Communicative Development inventories with high validity. Behavior Research Methods. 2018:1–8. [DOI] [PubMed] [Google Scholar]
- 66.Ramírez NF, Lieberman AM, Mayberry RI. The initial stages of first-language acquisition begun in adolescence: When late looks early. J Child Lang. 2013;40:391–414. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67.Snedeker J, Geren J, Shafto CL. Starting over: International adoption as a natural experiment in language development. Psychological science. 2007;18:79–87. [DOI] [PubMed] [Google Scholar]
- 68.Mayberry RI, Lock E. Age constraints on first versus second language acquisition: Evidence for linguistic plasticity and epigenesis. Brain Lang. 2003;87:369–384. [DOI] [PubMed] [Google Scholar]
- 69.Mayberry RI, Chen J, Witcher P, Klein D. Age of acquisition effects on the functional organization of language in the adult brain. Brain Lang. 2011;119:16–29. [DOI] [PubMed] [Google Scholar]
- 70.Mayberry RI, Eichen EB. The long-lasting advantage of learning sign language in childhood: Another look at the critical period for language acquisition. Journal of Memory and Language. 1991;30:486–512. [Google Scholar]
- 71.Lee J Size matters: Early vocabulary as a predictor of language and literacy competence. Applied Psycholinguistics. 2011;32:69–92. [Google Scholar]
- 72.Mcgregor KK, Sheng LI, Smith B. The precocious two-year-old: Status of the lexicon and links to the grammar. J Child Lang. 2005;32:563–585. [DOI] [PubMed] [Google Scholar]
- 73.Rowe ML, Raudenbush SW, Goldin‐Meadow S. The pace of vocabulary growth helps predict later vocabulary skill. Child Dev. 2012;83:508–525. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 74.Davidson K, Lillo-Martin D, Chen Pichler D. Spoken English language development among native signing children with cochlear implants. The Journal of Deaf Studies and Deaf Education. 2014;19:238–250. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 75.Hassanzadeh S Outcomes of cochlear implantation in deaf children of deaf parents: Comparative study. The Journal of Laryngology & Otology. 2012;126:989–994. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
