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Attention Score in Context
| Title |
A method to develop vocabulary checklists in new languages and their validity to assess early language development
|
|---|---|
| Published in |
Journal of Health, Population and Nutrition, May 2018
|
| DOI | 10.1186/s41043-018-0145-1 |
| Pubmed ID | |
| Authors |
Elizabeth L. Prado, John Phuka, Eugenia Ocansey, Kenneth Maleta, Per Ashorn, Ulla Ashorn, Seth Adu-Afarwuah, Brietta M. Oaks, Anna Lartey, Kathryn G. Dewey |
| Abstract |
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. 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. 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). 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. |
Mendeley readers
The data shown below were compiled from readership statistics for 97 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 97 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 11% |
| Student > Master | 11 | 11% |
| Researcher | 8 | 8% |
| Student > Doctoral Student | 7 | 7% |
| Student > Postgraduate | 4 | 4% |
| Other | 18 | 19% |
| Unknown | 38 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 10 | 10% |
| Social Sciences | 8 | 8% |
| Medicine and Dentistry | 7 | 7% |
| Economics, Econometrics and Finance | 6 | 6% |
| Psychology | 6 | 6% |
| Other | 19 | 20% |
| Unknown | 41 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 13 May 2018.
All research outputs
#6,600,606
of 25,382,440 outputs
Outputs from Journal of Health, Population and Nutrition
#148
of 623 outputs
Outputs of similar age
#105,673
of 339,382 outputs
Outputs of similar age from Journal of Health, Population and Nutrition
#4
of 7 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 623 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.1. This one has gotten more attention than average, scoring higher than 73% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 339,382 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.