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Measuring early child development in low and middle income countries: Investigating the validity of the early Human Capability Index

Inclusion of early child development in the United Nations Sustainable Development Agenda raises issues of how this goal should be monitored, particularly in low resource settings. The aim of this paper was to explore the validity of the early Human Capability Index (eHCI); a population measure desi...

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Autores principales: Sincovich, Alanna, Gregory, Tess, Zanon, Cristian, Santos, Daniel D., Lynch, John, Brinkman, Sally A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7327282/
https://www.ncbi.nlm.nih.gov/pubmed/32637554
http://dx.doi.org/10.1016/j.ssmph.2020.100613
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author Sincovich, Alanna
Gregory, Tess
Zanon, Cristian
Santos, Daniel D.
Lynch, John
Brinkman, Sally A.
author_facet Sincovich, Alanna
Gregory, Tess
Zanon, Cristian
Santos, Daniel D.
Lynch, John
Brinkman, Sally A.
author_sort Sincovich, Alanna
collection PubMed
description Inclusion of early child development in the United Nations Sustainable Development Agenda raises issues of how this goal should be monitored, particularly in low resource settings. The aim of this paper was to explore the validity of the early Human Capability Index (eHCI); a population measure designed to capture the holistic development of children aged 3–5 years. Convergent, divergent, discriminant and concurrent validity were examined by exploring the associations between eHCI domains and child (sex, age, stunting status, preschool attendance) and family (maternal education, home learning environment) characteristics. Analyses were repeated using data from seven low and middle income countries: Brazil (n = 1810), China (n = 11421), Kiribati (n = 8339), Lao PDR (n = 7493), Samoa (n = 12191), Tonga (n = 6214), and Tuvalu (n = 549). Correlations and linear regressions provide evidence that within these country samples, the tool is capturing the aspects of early child development that it was designed to measure. Although the tool was intended to measure development of children aged 3–5 years, results suggest it can be validly applied to children aged 2–6 years. The eHCI is free, requires minimal implementation resources, captures development across domains and abilities, and is designed to allow cultural and contextual concepts to be included. The eHCI appears psychometrically robust in diverse country contexts and could enable evaluation of early years policies and programs, as well as monitoring of children's development to track progress towards the Sustainable Development Agenda.
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spelling pubmed-73272822020-07-06 Measuring early child development in low and middle income countries: Investigating the validity of the early Human Capability Index Sincovich, Alanna Gregory, Tess Zanon, Cristian Santos, Daniel D. Lynch, John Brinkman, Sally A. SSM Popul Health Article Inclusion of early child development in the United Nations Sustainable Development Agenda raises issues of how this goal should be monitored, particularly in low resource settings. The aim of this paper was to explore the validity of the early Human Capability Index (eHCI); a population measure designed to capture the holistic development of children aged 3–5 years. Convergent, divergent, discriminant and concurrent validity were examined by exploring the associations between eHCI domains and child (sex, age, stunting status, preschool attendance) and family (maternal education, home learning environment) characteristics. Analyses were repeated using data from seven low and middle income countries: Brazil (n = 1810), China (n = 11421), Kiribati (n = 8339), Lao PDR (n = 7493), Samoa (n = 12191), Tonga (n = 6214), and Tuvalu (n = 549). Correlations and linear regressions provide evidence that within these country samples, the tool is capturing the aspects of early child development that it was designed to measure. Although the tool was intended to measure development of children aged 3–5 years, results suggest it can be validly applied to children aged 2–6 years. The eHCI is free, requires minimal implementation resources, captures development across domains and abilities, and is designed to allow cultural and contextual concepts to be included. The eHCI appears psychometrically robust in diverse country contexts and could enable evaluation of early years policies and programs, as well as monitoring of children's development to track progress towards the Sustainable Development Agenda. Elsevier 2020-06-07 /pmc/articles/PMC7327282/ /pubmed/32637554 http://dx.doi.org/10.1016/j.ssmph.2020.100613 Text en © 2020 The Author(s) http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Sincovich, Alanna
Gregory, Tess
Zanon, Cristian
Santos, Daniel D.
Lynch, John
Brinkman, Sally A.
Measuring early child development in low and middle income countries: Investigating the validity of the early Human Capability Index
title Measuring early child development in low and middle income countries: Investigating the validity of the early Human Capability Index
title_full Measuring early child development in low and middle income countries: Investigating the validity of the early Human Capability Index
title_fullStr Measuring early child development in low and middle income countries: Investigating the validity of the early Human Capability Index
title_full_unstemmed Measuring early child development in low and middle income countries: Investigating the validity of the early Human Capability Index
title_short Measuring early child development in low and middle income countries: Investigating the validity of the early Human Capability Index
title_sort measuring early child development in low and middle income countries: investigating the validity of the early human capability index
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7327282/
https://www.ncbi.nlm.nih.gov/pubmed/32637554
http://dx.doi.org/10.1016/j.ssmph.2020.100613
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