Project Activities
Structured Abstract
Setting
Sample
Research design and methods
Key measures
Data analytic strategy
Key outcomes
People and institutions involved
IES program contact(s)
Products and publications
ERIC Citations: Find available citations in ERIC for this award here.
Journal articles
Golinkoff, R. M., Hoff, E., Rowe, M. L., Tamis-LeMonda, C. S., & Hirsh-Pasek, K. (2019). Language matters: Denying the existence of the 30-million-word gap has serious consequences. Child Development, 3, 985-992.
Levine, D., Pace, A., Luo R., Hirsh-Pasek, K., Golinkoff, R. M., de Villiers, J., Iglesias, A., & Wilson, M. S. (2020). Evaluating socioeconomic gaps in preschoolers' vocabulary, syntax, and language process skills with the Quick Interactive Language Screener (QUILS). Early Childhood Research Quarterly, 50, 114-128.
Luo, R., Pace, A., Levine, D., Iglesias, A., de Villiers, J., Golinkoff, R. M., Wilson, M.S., & Hirsh- Pasek, K. (2021). Home literacy environment and existing knowledge mediate the link between socioeconomic status and language learning skills in dual language learners. Early Childhood Research Quarterly, 55, 1-14.
Masek, L. R., Paterson, S. J., Golinkoff, R. M., Bakeman, R., Adamson, L. B., Owen, M. T., Pace, A., &Hirsh-Pasek, K. (2021). Beyond talk: Contributions of quantity and quality of communication to language success across socioeconomic strata. Infancy, 26, 123-147.
Pace, A., Luo, R., Levine, D., Iglesias, A., de Villiers, J., Golinkoff, R.M., Wilson, M., & Hirsh Pasek, K. (2020). Within and across language predictors of word learning processes in dual language learners. Child Development, 92, 35-53.
Valleau, M. J., Konishi, H., Golinkoff, R. M., & Hirsh-Pasek, K., & Arunachalam, S. (2018). An eye-tracking study of receptive verb knowledge. Journal Speech, Language, and Hearing Research, 1-17.
Related projects
Supplemental information
Co-Principal Investigators: Hirsh-Pasek, Kathy; de Villiers, Jill; Iglesias, Aquiles
- The BabyQUILS successfully measured 2-year-olds' language ability. Over 90% of children tested were able to complete the test. Children received an overall score as well as a score on three unique language components: vocabulary (the words children already know), syntax (the grammatical structures they could understand in sentences), and process (how children learn new language items).
- The BabyQUILS proved to have excellent validity as children's performance on the BabyQUILS was strongly related to their results on other established language assessments.
- Scores on the BabyQUILS were found to be stable over time in an examination of test-retest reliability.
- Because the screener requires no special training and is easy to administer, the screener could be widely implemented in a variety of settings, including homes, childcare centers, and pediatrician's offices. This would allow for early identification of language issues that may otherwise have gone unnoticed until the child entered school, which could reduce the need for intervention later.
Measure: The BabyQUILS language screener is modeled after the QUILS, which was developed for preschool children with previous IES funding. This project extended the screener to target children between the ages of 24–36 months when language is just emerging. This computer-based language assessment uses touch-screen technology to yield both an overall score that can be compared to national norms, and individual and group profiles in three areas of language development. Two modules measure language products (what children know) in the areas of vocabulary and grammar, and the third module measures process (strategies children use to learn new language, in both the vocabulary and grammar domains). It is designed for ease of use by teachers, paraprofessionals, and other service providers, and it has low response demands for the children completing it. The final assessment has 40 items and takes under 20 minutes to administer to a child.
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