Analyzing Differences in Child Well-Being Among U.S. States
This article develops a comprehensive composite state-level index of child well-being modeled after the Foundation for Child Development’s Child Well-Being Index (CWI) to assess state differences in child well-being among the 50 U.S. states in 2007. The state-level CWIs are composed of 25 state-leve...
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| Published in | Child indicators research Vol. 6; no. 2; pp. 401 - 431 |
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| Main Authors | , , , , , |
| Format | Journal Article |
| Language | English |
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Dordrecht
Springer Netherlands
01.06.2013
Springer Nature B.V |
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| Online Access | Get full text |
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| Abstract | This article develops a comprehensive composite state-level index of child well-being modeled after the Foundation for Child Development’s Child Well-Being Index (CWI) to assess state differences in child well-being among the 50 U.S. states in 2007. The state-level CWIs are composed of 25 state-level indicators clustered into seven different domains or dimensions of child well-being. In addition to examining state rankings and the inter-relationship among domains across states, statistics on 27 demographic, economic, and policy characteristics of the states are analyzed in a regression analysis with respect to their ability to explain state differences in the CWIs. Because of the large number of explanatory variables and the potential redundancy created thereby, a principal components analysis/composite index method is applied. This leads to three composite indices that simplify the regressor space and explain 66.0 % of the variance. A second regression that adds three key policy measures to the three structural indices explains 79.5 % of the variance. Key findings of the study pertaining to how the resources available to children provided by families, communities, and the public sector relate to child well-being are discussed. |
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| AbstractList | This article develops a comprehensive composite state-level index of child well-being modeled after the Foundation for Child Development’s Child Well-Being Index (CWI) to assess state differences in child well-being among the 50 U.S. states in 2007. The state-level CWIs are composed of 25 state-level indicators clustered into seven different domains or dimensions of child well-being. In addition to examining state rankings and the inter-relationship among domains across states, statistics on 27 demographic, economic, and policy characteristics of the states are analyzed in a regression analysis with respect to their ability to explain state differences in the CWIs. Because of the large number of explanatory variables and the potential redundancy created thereby, a principal components analysis/composite index method is applied. This leads to three composite indices that simplify the regressor space and explain 66.0 % of the variance. A second regression that adds three key policy measures to the three structural indices explains 79.5 % of the variance. Key findings of the study pertaining to how the resources available to children provided by families, communities, and the public sector relate to child well-being are discussed. This article develops a comprehensive composite state-level index of child well-being modeled after the Foundation for Child Development's Child Well-Being Index (CWI) to assess state differences in child well-being among the 50 U.S. states in 2007. The state-level CWIs are composed of 25 state-level indicators clustered into seven different domains or dimensions of child well-being. In addition to examining state rankings and the inter-relationship among domains across states, statistics on 27 demographic, economic, and policy characteristics of the states are analyzed in a regression analysis with respect to their ability to explain state differences in the CWIs. Because of the large number of explanatory variables and the potential redundancy created thereby, a principal components analysis/composite index method is applied. This leads to three composite indices that simplify the regressor space and explain 66.0% of the variance. A second regression that adds three key policy measures to the three structural indices explains 79.5 % of the variance. Key findings of the study pertaining to how the resources available to children provided by families, communities, and the public sector relate to child well-being are discussed. Adapted from the source document. This article develops a comprehensive composite state-level index of child well-being modeled after the Foundation for Child Development’s Child Well-Being Index (CWI) to assess state differences in child well-being among the 50 U.S. states in 2007. The state-level CWIs are composed of 25 state-level indicators clustered into seven different domains or dimensions of child well-being. In addition to examining state rankings and the inter-relationship among domains across states, statistics on 27 demographic, economic, and policy characteristics of the states are analyzed in a regression analysis with respect to their ability to explain state differences in the CWIs. Because of the large number of explanatory variables and the potential redundancy created thereby, a principal components analysis/composite index method is applied. This leads to three composite indices that simplify the regressor space and explain 66.0 % of the variance. A second regression that adds three key policy measures to the three structural indices explains 79.5 % of the variance. Key findings of the study pertaining to how the resources available to children provided by families, communities, and the public sector relate to child well-being are discussed. |
| Author | Mather, Mark Land, Kenneth C. O’Hare, William P. Lamb, Vicki L. Fu, Qiang Dupuis, Genevieve |
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| Cites_doi | 10.2139/ssrn.1824103 10.1007/s11205-006-9069-z 10.1002/pam.1003 10.34051/p/2020.42 10.1023/A:1012485315266 10.1086/229381 10.1177/002214650404500302 10.1177/1088767910371166 10.2307/2657556 10.1007/BF00292050 10.1023/A:1021284215801 10.1007/s12187-012-9138-6 10.1007/s11205-007-9120-8 10.1086/224533 10.1007/s11205-006-9023-0 10.1007/s12187-007-9000-4 10.1007/s12187-009-9037-7 10.1080/10796120120077584 10.1007/s11205-011-9814-9 10.1177/0049124106292354 10.1007/s11205-004-1073-6 10.1007/s11205-010-9624-5 |
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| Keywords | Variability among U.S. states Child well-being Composite index |
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Casey Foundation LandKCLambVLMustilloSKChild and youth well-being in the United States, 1975–1998: some findings from a new indexSocial Indicators Research20015624132010.1023/A:1012485315266 DuncanGJYeungWJBrooks-GunnJSmithJRHow much does childhood poverty affect the life cha KC Land (9173_CR29) 2007; 80 PL McCall (9173_CR32) 2010; 14 KC Land (9173_CR30) 2011; 100 GJ Duncan (9173_CR14) 1998; 63 9173_CR15 9173_CR59 9173_CR11 9173_CR55 IP Whitaker (9173_CR57) 2001; 7 9173_CR12 9173_CR53 9173_CR10 RA Gordon (9173_CR20) 1968; 73 9173_CR54 9173_CR52 P Billen (9173_CR3) 2007 A Ben-Arieh (9173_CR2) 2007; 80 J Bradshaw (9173_CR4) 2009; 2 KC Land (9173_CR28) 2001; 56 GS Becker (9173_CR1) 1975 M Stagner (9173_CR50) 2008 9173_CR39 9173_CR48 9173_CR46 9173_CR44 9173_CR45 L Fernandez (9173_CR17) 2012; 106 9173_CR42 9173_CR43 9173_CR40 BV Brown (9173_CR5) 1996 9173_CR41 MR Haggerty (9173_CR21) 2007; 35 SO Meadows (9173_CR34) 2005; 70 The Annie E. Casey Foundation (9173_CR51) 2011 TS Weiner (9173_CR56) 1988; 81 EI Pollard (9173_CR47) 2002; 61 VL Lamb (9173_CR26) 2005 WP O’Hare (9173_CR38) 2006 R Wilkinson (9173_CR58) 2010 9173_CR6 9173_CR9 Every Child Matters Education Fund (9173_CR16) 2008 9173_CR31 9173_CR8 RA Cummings (9173_CR13) 1996; 38 KA Moore (9173_CR37) 2008; 1 KA Moore (9173_CR36) 2007; 84 9173_CR19 9173_CR18 9173_CR24 9173_CR25 9173_CR22 9173_CR23 JD McLeod (9173_CR33) 2004; 45 KC Land (9173_CR27) 1990; 95 MK Meyers (9173_CR35) 2001; 20 EL Schor (9173_CR49) 1995; 72 9173_CR60 BV Brown (9173_CR7) 2002 |
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| Snippet | This article develops a comprehensive composite state-level index of child well-being modeled after the Foundation for Child Development’s Child Well-Being... This article develops a comprehensive composite state-level index of child well-being modeled after the Foundation for Child Development's Child Well-Being... |
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| SubjectTerms | Child and School Psychology Child Development Children Demographic aspects Demography Early Childhood Education Factor Analysis Principal component analysis Principal components analysis Public sector Quality of Life Research Redundancy Regression (Statistics) Social Sciences Social Work Well being Wellbeing |
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| Title | Analyzing Differences in Child Well-Being Among U.S. States |
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