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Maximizing research on the adverse effects of child poverty through consensus measures
A variety of new research approaches are providing new ways to better understand the developmental mechanisms through which poverty affects children's development. However, studies of child poverty often characterize samples using different markers of poverty, making it difficult to contrast an...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7415622/ https://www.ncbi.nlm.nih.gov/pubmed/32037618 http://dx.doi.org/10.1111/desc.12946 |
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author | Pollak, Seth D. Wolfe, Barbara L. |
author_facet | Pollak, Seth D. Wolfe, Barbara L. |
author_sort | Pollak, Seth D. |
collection | PubMed |
description | A variety of new research approaches are providing new ways to better understand the developmental mechanisms through which poverty affects children's development. However, studies of child poverty often characterize samples using different markers of poverty, making it difficult to contrast and reconcile findings across studies. Ideally, scientists can maximize the benefits of multiple disciplinary approaches if data from different kinds of studies can be directly compared and linked. Here, we suggest that individual studies can increase their potential usefulness by including a small set of common key variables to assess socioeconomic status and family income. These common variables can be used to (a) make direct comparisons between studies and (b) better enable diversity of subjects and aggregation of data regarding many facets of poverty that would be difficult within any single study. If kept brief, these items can be easily balanced with the need for investigators to creatively address the research questions in their specific study designs. To advance this goal, we identify a small set of brief, low‐burden consensus measures that researchers could include in their studies to increase cross‐study data compatibility. These US based measures can be adopted for global contexts. |
format | Online Article Text |
id | pubmed-7415622 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-74156222020-12-03 Maximizing research on the adverse effects of child poverty through consensus measures Pollak, Seth D. Wolfe, Barbara L. Dev Sci Papers A variety of new research approaches are providing new ways to better understand the developmental mechanisms through which poverty affects children's development. However, studies of child poverty often characterize samples using different markers of poverty, making it difficult to contrast and reconcile findings across studies. Ideally, scientists can maximize the benefits of multiple disciplinary approaches if data from different kinds of studies can be directly compared and linked. Here, we suggest that individual studies can increase their potential usefulness by including a small set of common key variables to assess socioeconomic status and family income. These common variables can be used to (a) make direct comparisons between studies and (b) better enable diversity of subjects and aggregation of data regarding many facets of poverty that would be difficult within any single study. If kept brief, these items can be easily balanced with the need for investigators to creatively address the research questions in their specific study designs. To advance this goal, we identify a small set of brief, low‐burden consensus measures that researchers could include in their studies to increase cross‐study data compatibility. These US based measures can be adopted for global contexts. John Wiley and Sons Inc. 2020-03-12 2020-11 /pmc/articles/PMC7415622/ /pubmed/32037618 http://dx.doi.org/10.1111/desc.12946 Text en © 2020 The Authors. Developmental Science published by John Wiley & Sons Ltd This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. |
spellingShingle | Papers Pollak, Seth D. Wolfe, Barbara L. Maximizing research on the adverse effects of child poverty through consensus measures |
title | Maximizing research on the adverse effects of child poverty through consensus measures |
title_full | Maximizing research on the adverse effects of child poverty through consensus measures |
title_fullStr | Maximizing research on the adverse effects of child poverty through consensus measures |
title_full_unstemmed | Maximizing research on the adverse effects of child poverty through consensus measures |
title_short | Maximizing research on the adverse effects of child poverty through consensus measures |
title_sort | maximizing research on the adverse effects of child poverty through consensus measures |
topic | Papers |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7415622/ https://www.ncbi.nlm.nih.gov/pubmed/32037618 http://dx.doi.org/10.1111/desc.12946 |
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