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A method to develop vocabulary checklists in new languages and their validity to assess early language development
- Source :
- Journal of health, population, and nutrition, vol 37, iss 1, Journal of Health, Population and Nutrition, Vol 37, Iss 1, Pp 1-10 (2018), Journal of health, population and nutrition, 37:13, Journal of Health, Population, and Nutrition
- Publication Year :
- 2018
-
Abstract
- Background Since the adoption of United Nations’ Sustainable Goal 4.2 to ensure that all children have access to quality early child development (ECD) so that they are ready for primary education, the demand for valid ECD assessments has increased in contexts where they do not yet exist. The development of early language ability is important for school readiness. Our objective was to evaluate the validity of a method to develop vocabulary checklists in new languages to assess early language development, based on the MacArthur-Bates Communicative Development Inventories. Methods Through asking mothers of young children what words their children say and through pilot testing, we developed 100-word vocabulary checklists in multilingual contexts in Malawi and Ghana. In Malawi, we evaluated the validity of the vocabulary checklist among 29 children age 17–25 months compared to three language measures assessed concurrently: Developmental Milestones Checklist-II (DMC-II) language scale, Malawi Developmental Assessment Tool (MDAT) language scale, and the number of different words (NDW) in 30-min recordings of spontaneous speech. In Ghana, we assessed the predictive validity of the vocabulary checklist at age 18 months to forecast language, pre-academic, and other skills at age 4–6 years among 869 children. We also compared the predictive validity of the vocabulary checklist scores to that of other developmental assessments administered at age 18 months. Results In Malawi, the Spearman’s correlation of the vocabulary checklist score with DMC-II language was 0.46 (p = 0.049), with MDAT language was 0.66 (p = 0.016) and with NDW was 0.50 (p = 0.033). In Ghana, the 18-month vocabulary checklist score showed the strongest (rho = 0.12–0.26) and most consistent (8/12) associations with preschool scores, compared to the other 18-month assessments. The largest coefficients were the correlations of the 18-month vocabulary score with the preschool cognitive factor score (rho = 0.26), language score (0.25), and pre-academic score (0.24). Conclusions We have demonstrated the validity of a method to develop vocabulary checklists in new languages, which can be used in multilingual contexts, using a feasible adaptation process requiring about 2 weeks. This is a promising method to assess early language development, which is associated with later preschool language, cognitive, and pre-academic skills. Electronic supplementary material The online version of this article (10.1186/s41043-018-0145-1) contains supplementary material, which is available to authorized users.
- Subjects :
- Malawi
Predictive validity
Kansanterveystiede, ympäristö ja työterveys - Public health care science, environmental and occupational health
Mothers
Multilingualism
Language Development
Vocabulary
Ghana
Concurrent validity
Child Development
Cognition
Clinical Research
Tropical Medicine
Cross-cultural assessment
Developmental assessment
Low- and middle-income countries
Humans
Child
Preschool
lcsh:RC620-627
Language
Demography
Pediatric
Schools
Nutrition and Dietetics
Verbal Behavior
Prevention
lcsh:Public aspects of medicine
Low-and middle-income countries
Reproducibility of Results
Infant
lcsh:RA1-1270
Achievement
Brain Disorders
Checklist
Quality Education
lcsh:Nutritional diseases. Deficiency diseases
Child, Preschool
Mental health
Research Article
Forecasting
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- Journal of health, population, and nutrition, vol 37, iss 1, Journal of Health, Population and Nutrition, Vol 37, Iss 1, Pp 1-10 (2018), Journal of health, population and nutrition, 37:13, Journal of Health, Population, and Nutrition
- Accession number :
- edsair.pmid.dedup....d8f8d62190e025fe15a051c151b12c8c