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1.
Asher Ben-Arieh John Gal Lenna Nepomnyaschy Irwin Garfinkel 《Social indicators research》2007,80(1):223-248
This article presents a comparative study in which social indicators were employed as a means to examine differences in living
conditions and family and children outcomes on a local level. The study obtained household-level data on the well-being of
children and families in two cities: New York (NYC) and Tel Aviv (TLV). Data were collected using computer assisted telephone
interview (CATI) technology and random digit dialing (RDD). Telephone interviews were conducted with the randomly selected
adults in English, Spanish and Chinese in NYC and in Hebrew in TLV. The study reported here documented differences in family
and child well-being between the two cities. It further documented that family size and caregiver level of education play
a similar role in both cities and their importance in regard to child and family outcomes. The significant differences found
in adults’ and especially children’s outcomes were analyzed by the caregiver’s level of education and further support the
need for policies that alleviate the burden of less educated caregivers and aim to improve the well-being of them and their
families. The study demonstrates the relevance of social indicators at the local level, not only for measuring outcomes among
specific populations, but also in regard to their possible implications for social policies, a most timely task in an era
of social services devolution. 相似文献
2.
Native American kids: American Indian children’s well-being indicators for the nation and two states
Angela A. A. Willeto 《Social indicators research》2007,83(1):149-176
American Indian/Alaska Native well-being, survival-based data are rare. This study explores the question of whether or not
it is possible to produce such well-being information using secondary data sources. The answer is yes, with some limitations.
Hence, Native American data for 10 well-being indicators nationally and for New Mexico and South Dakota, using a model like
Kids Count (Annie E. Casey Foundation: 2003a, 2001 KIDS COUNT Data Book: State profiles of child well-being (Annie E. Casey Foundation, Baltimore, MD)) are reported;
thereby reducing the gap in survival indicators for U.S. Indigenous children and youths. Comparisons between all children and American Indian children demonstrate that Native American children have comparatively worse well-being rates
at the national level and in South Dakota, whereas New Mexico Native kids compare favorably to their non-Native peers. Policy
recommendations conclude the paper.
This research was funded by Casey Family Programs (Seattle, Washington) and the Annie E. Casey Foundation (Baltimore, Maryland)
with partnership from the National Indian Child Welfare Association (Portland, Oregon). Charlotte Goodluck, Ph.D. collaborated
with me on previous work that this study builds upon. I would also like to thank the anonymous reviewers for their comments,
this paper is much improved because of their efforts.
Angela A. A. Willeto is an enrolled member of the Navajo Nation. 相似文献
3.
A Sociodemographic Risk Index 总被引:4,自引:3,他引:4
In this paper, we conceptualize and develop an index of sociodemographic risk that we hypothesize will be an improvement over
the standard poverty measure as a measure of risk for children’s development. The poverty line is widely used in government
statistics and in research but is also widely acknowledged to have multiple shortcomings. Using recent data from the National
Survey of America’s Families, we develop and examine a Sociodemographic Risk Index for two potential purposes: (a) to serve
as a summary indicator of children’s environments that affect their well-being, and (b) to serve as a variable that can be
used to identify at-risk subgroups of children whose well-being should be examined separately in indicator reports. Based
on substantial research on children’s development, we chose five variables for the index: family income, family structure,
parent education, family size, and home ownership. An additive sociodemographic risk index using these variables is strongly
associated with multiple measures of child well-being in both bivariate and multivariate analyses. Hence, it serves as a good
marker of risk for children and therefore as an indicator that could be monitored over time, across groups, and across places,
as well as a variable that could be used to identify subgroups of at-risk children whose well-being should be monitored. However,
analyses do not indicate that it performs better at identifying at-risk children than the current poverty measure. Therefore,
we recommend the Sociodemographic Risk Index primarily as an additional summary indicator to be monitored, rather than as
a replacement for the poverty measure. 相似文献