Abstract
The use of free or reduced price lunch (FRL), as a measure of socioeconomic status (SES), has received mixed reviews in the literature. This study expands on the limited research on the validity of FRL as a measure of SES by examining the relationship between FRL and a series of community-based SES measures to determine whether FRL is an adequate proxy for adolescent SES. Data are from a nationally representative sample of 154 public high schools in 2010 from Bridging the Gap with corresponding school level data from the National Center for Education Statistics’ (NCES) Common Core of Data (CCD) to obtain a measure of percent of students receiving FRL and using ArcGIS 9 software with the ACS 05–09, matched at the census block group level to construct measures of community SES. School zone level SES measures obtained include: median household income, percent of families in poverty, percent of families with children younger than 18 years in poverty, and the percent of all households in poverty. Data collected through community observations were used to construct a physical disorder scale. Percent FRL was strongly and significantly associated with the percent of families in poverty (r=0.67), percent of families with children younger than 18 years (r=0.67), percent of households in poverty (r=0.66), median household income (r=−0.60), and physical disorder (r=0.56) in the expected directions. Additionally, all community based measures of socioeconomic status were highly correlated with each other. The validity and limitations of FRL as a proxy for adolescent SES are discussed.
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Bassler EJ, Chriqui JF, Stagg K, Schneider LM, Infusino K, Asada Y. 2013. Controlling Junk Food and the Bottom Line: Case Studies of Schools Successfully Implementing Strong Nutrition Standards for Competitive Foods and Beverages. Chicago, IL: Illinois Public
Health Institute. Available: http://iphionline.org/2013/03/controlling-junk-food/
Boyce W, Toresheim T, Currie C, et al. The family affluence scale as a measure of national wealth: validation of an adolescent self-report measure. Social Indicators Research 2006;78:473–87.
Braveman P, Cubbin C, Egerter S, et al. Socioeconomic status in health research one size does not fit all. JAMA 2005;294:2879–2888.
Briefel RR, Crepinsek MK, Cabili C, et al. School food environment and practices affect dietary behaviors of US public school children. JADA 2009;109:S91–S107.
Brooks-Gunn J, Duncan GJ, Aber JL. Neighborhood Poverty: Context and Consequences for Children: Vol. 1. New York: Russell Sage Foundation Press, 1997.
Caldas SJ, Bankston C. Effect of school population socioeconomic status on individual academic achievement. J Educ Res 1997;90:269–277.
Duncan GJ, Magnuson KA. Off with Hollinsghead: Socioeconomic resources, parenting, and child development, 2003; In Socioeconomic Status, Parenting, and Child Development edited by Marc H. Bornstein and Robert H. Bradle, pages 83–106. Mahwah: New Jersey.
Elliott D, Wilson WJ, Huizinga D, et al. The effects of neighborhood disadvantage on adolescent development. Journal of Research in Crime and Delinquency 1996; 33:389–426.
Ensminger ME, Fothergill K. A decade of measuring SES: What it tells us and where to go from here, 2003; In Socioeconomic Status, Parenting, and Child Development edited by Marc H. Bornstein and Robert H. Bradley, pages 13–28. Mahwah: New Jersey.
Ensminger ME, Forrest CB, Riley AW, et al. The validity of measures of socioeconomic status of adolescents. J Adolesc Res 2000;15:392–419.
Entwisle DR, Astone NM. Some practical guidelines for measuring youth’s race/ethnicity and socioeconomic status. Child Development 1994;65:1521–1540.
Finkelstein DM, Hill EL, Whitaker RC. School food environments and policies in US public schools. Pediatrics 2008; 122:e251–59.
Goodman E, Slap GB, Huang B. The public health impact of socioeconomic status on adolescent depression and obesity. AJPH 2003;93:1844–50.
Gordon-Larsen P, Nelson MC, Page P, et al. Inequality in the built environment underlies key health disparities in physical activity and obesity. Pediatrics 2006;117:417–24.
Harwell M, LeBeau B. Student eligibility for a free lunch as an SES measure in education research. Educational Researcher 2010; 39:120–131.
Hauser RM. Measuring socioeconomic status in studies of child development. Child Development 1994; 65:1541–1545.
Haynie DL, Silver E, Teasdale B. Neighborhood characteristics, peer influence, and adolescent violence. Journal of Quantitative Criminology 2006; 22:147–169.
Hernandez DJ. Child development and the social demography of childhood. Child Development 1997; 68:149–169.
Herr A, Tobias S. Achievement via programmed instruction and socioeconomic status. Psychology in the Schools 1970; 1:53–56.
Hollingshead, AA. Four-factor index of social status. 1975; Unpublished manuscript, Yale University, New Haven, CT.
Johnston LD, O’Malley PM, Bachman JG, Schulenberg J. Monitoring the Future national survey results on drug use, secondary school students, volume I. 1975–2010. Ann Arbor: Institute for Social Research, University of Michigan, 2011. www.bridgingthegapresearch.org.
Klevanov PK, Brooks-Gunn J, Chase-Lansdale PL, Gordon R. 1997. Are neighborhood effects on young children mediated by features of the home environment? In J. Brooks-Gunn, GJ Duncan, and JL Abers (Eds.), Neighborhood poverty: Contest and consequences for children (Vol I); (pp 119–145). New York: Russell Sage.
Kohler U, Luniak M. Data inspection using biplots. The Stata Journal 2005; 5:208–223.
Krieger N, Williams DR, Moss NE. Measuring social class in US public health research: concepts, methodologies and guidelines. Annual Review of Public Health 1997; 18:341–378.
Kurki A, Boyle A, Aladjem DK. (2005, April). Beyond free lunch: Alternative poverty measures in educational research and program evaluation. Paper presented at the annual meeting of the American Educational Research Association, Montreal, Canada.
Leventhal T, Brooks-Gunn J. Moving on up: Neighborhood effects on children and families, 2003; In Socioeconomic Status, Parenting, and Child Development edited by Marc H. Bornstein and Robert H. Bradley, pages 209–30. Mahwah: New Jersey.
Miner B. Sociological background variables affecting school achievement. Journal of Educational Research 1968; 61:372–381.
National Center for Education Statistics (NCES). U.S. Department of Education. Institute of Education Sciences, National Center for Education Statistics, 2006–2007. Available at: http://nces.ed.gov/ccd/pubschuniv.asp. Accessed January 10, 2011.
Nicholson LM, Browning CR. Racial and ethnic disparities in obesity during the transition to adulthood: The contingent and nonlinear impact of neighborhood disadvantage. Journal of Youth and Adolescence 2012; 41:53–66.
Nierman GE, Veak MH. Effect on selected recruiting strategies on beginning instrumentalists’ participation decisions. Journal of Research in Music Education 1997; 45:380–389.
Pickett KE, Pearl M. Multilevel analyses of neighborhood socioeconomic context and health outcomes: a critical review. Journal of Epidemiology and Community Health 2001; 55:111–122.
Raudenbush S. The quantitative assessment of neighborhood social environments. 2003. In Kawachi I and Berkman L, edts: Neighborhoods and Health. New York: Oxford University Press.
Robert SA. Socioeconomic position and health: the independent contribution of community socioeconomic context. Annual Review of Sociology 1999; 25:489–516.
Sampson RJ, Morenoff JD, Gannon–Rowley T. Assessing “neighborhood effects”: social processes and new directions in research. Annual Review of Sociology 2002; 28:443–478.
Sampson RJ. Collective regulation of adolescent misbehavior: Validation results from eighty Chicago neighborhoods. Journal of Adolescent Research 1997; 12:227–244.
Slater S, Nicholson L, Chriqui J, et al. Walkable communities and adolescent weight. American Journal of Preventative Medicine 2013; 44:164–168.
Slater SJ, Ewing R, Powell LM, et al. The association between community physical activity settings and youth physical activity, obesity, and body mass index. Journal of Adolescent Health 2010; 47:496–503.
Taber DR, Chriqui JF, Powell L, Chaloupka FJ. Association between state laws governing school meal nutrition content and student weight status: Implications for New USDA school meal standards. JAMA Pediatics 2013;167:513–519. doi:10.1001/jamapediatrics.2013.399.
Taber D, Chriqui JF, Chaloupka FJ. Geographic disparities in school district wellness policies targeting youth obesity from 2006–07 to 2008–09. AJPM 2011; 41:407–1.
Worley SE, Story WE. Socioeconomic status and language facility of beginning first graders. Reading Teachers 1967; 20:400–403.
Yen IH, Syme SL. The social environment and health: a discussion of the epidemiologic literature. Annual Review of Public Health 1999; 20:287–308.
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Nicholson, L.M., Slater, S.J., Chriqui, J.F. et al. Validating Adolescent Socioeconomic Status: Comparing School Free or Reduced Price Lunch with Community Measures. Spatial demogr. 2, 55–65 (2014). https://doi.org/10.1007/BF03354904
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DOI: https://doi.org/10.1007/BF03354904