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Cited by 196

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Poverty Experiences of Young Children and the Quality of Their Home Environments

Patricia Garrett, Nicholas H. Ng'andu, John M. Ferron·1994·Child Development

Abstract

This paper assesses the relative contribution of maternal, household, child, and poverty characteristics to the quality of the home environment. The sample consists of 1,887 children birth to 4 years old from the National Longitudinal Survey of Youth (NLSY). Ordinary least-squares regression is used to explore conceptually distinct aspects of children's poverty experiences. Poverty variables are found to have a statistically significant effect on the quality of the home environment, after controlling for the effects of other variables in the models. Statistically significant interactions among poverty variables are identified. A major finding is that improvements in family income have the strongest effects on the quality of the home environment for children who were born poor or lived much of their lives in poverty. The conclusion emphasizes implications for future research.

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OpenAlex · 10.1111/j.1467-8624.1994.tb00754.x

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Metadata

Authors
Garrett, P., Ng'andu, N. H., & Ferron, J. M.
Venue
Child Development
Published
1994-04
Volume
65
Issue
2
Pages
331
ISSN
0009-3920 (ISSN-L)
OpenAlex
W1973944698
Cited by
196
References
1
FWCI
29.74
Type
journal article
Language
en
Open access
closed

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This page
CoChat. (2026). Citation check: Poverty Experiences of Young Children and the Quality of Their Home Environments. https://app.cochat.ai/papers/10.1111/j.1467-8624.1994.tb00754.x
The paper
Garrett, P., Ng'andu, N. H., & Ferron, J. M. (1994). Poverty Experiences of Young Children and the Quality of Their Home Environments. Child Development. https://doi.org/10.1111/j.1467-8624.1994.tb00754.x

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.