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Socioeconomics and Reading Difficulties

By: Catherine Snow, Susan Burns, Peg Griffin
Socioeconomic differences are conventionally indexed by such demographic variables as household income and parents' education and occupation, alone or in some weighted combination.

In educational studies, furthermore, the socioeconomic level of a school or district may be estimated by the percentage of the enrollment qualifying for federal lunch subsidies. (For a critique and a discussion of some recommended modifications of current methods of measuring socioecomomic status (SES), see Entwisle and Astone, 1994).

Families rated low in SES are not only less affluent and less educated than other families but also tend to live in communities in which the average family SES is low and tend to receive less adequate nutrition and health services, including prenatal and pediatric care. In other ways, too, low SES often encompasses a broad array of conditions that may be detrimental to the health, safety, and development of young children, which on their own may serve as risk factors for reading difficulties.

Teasing apart the various aspects of the environment associated with low SES is virtually impossible, and this should be borne in mind as we discuss some particular risk factors that are linked to poverty.

As far back as Galton's (1874) studies of English scientists, SES has consistently been shown to predict cognitive and academic outcomes (Hess and Holloway, 1984; White, 1982, Pungello et al., 1996). Although reliable, the relationship between SES and reading achievement is more complex than is generally realized.

Consider, for example, how the findings of Alexander and Entwisle (1996) – that low SES students progress at identical rates as middle and high SES students during the school year, but they lose ground during the summer – shed light on the relationship between SES and reading achievement.

The degree of risk associated with the SES of the individual child's family differs considerably from the degree of risk associated with the SES level of the group of students attending a particular school. The evidence for this, and its implications for the prevention of reading difficulties among such students, is reviewed here.

In an earlier section, we turned our attention to aspects of the home environment that may be responsible for the degree of risk posed to the individual child from a low SES home.

In principle, low SES could potentially carry risk for reading difficulty for an individual child and for entire groups of children. That is, low SES is an individual risk factor to the extent that among children attending the same schools, youngsters from low-income families are more likely to become poorer readers than those from high-income families. Low SES is also a group risk factor because children from low-income communities are likely to become poorer readers than children from more affluent communities.

Because the former are more likely to attend substandard schools, the correlation between SES and low achievement is probably mediated, in large part, by differences in the quality of school experiences. It is thus not very surprising that the strength of the correlation between SES and achievement is stronger when the unit of analysis is the school than when the unit of analysis is the individual child (Bryk and Raudenbush, 1992, on multilevel measures of school effects).

When the average SES of a school (or district) and the average achievement level of the students attending that school are obtained for a large sample of schools, a correlation between SES and achievement can be calculated using the school as the unit of analysis. In a meta-analytic review of the findings for 93 such samples, White (1982) found that the average size of the correlation was .68, which is substantial and dovetails with the conclusion of the section below that attending a substandard school (which is usually one whose students tend to be low in both SES and achievement) constitutes a risk factor for the entire group of children in that school.

When achievement scores and SES are measured individually for all children in a large sample, however, the strength of the association between SES and achievement is far lower. In White's (1982) meta-analysis, for instance, the average correlation between reading achievement and SES across 174 such samples was .23. Similarly, the correlation was .22 in a sample of 1,459 9-year-old students whose scores were obtained through the National Assessment of Educational Progress (NAEP) evaluations (Walberg and Tsai, 1985). In a meta-analysis of longitudinal prediction studies, Horn and O'Donnell (1984) obtained a correlation that was only slightly higher (.31) between SES and early school achievement.

Similar SES findings were found in population-representative studies in the United States and in other English-speaking countries (e.g., Alwin and Thornton, 1984; Estrada et al., 1987; Richman et al., 1982; Rowe, 1991; Share et al., 1984; Wells, 1985). In other words, within a given school or district, or across many districts within a country, SES differences among children are relatively weak predictors of achievement. Thus, all else being equal, coming from a family of low SES (defined according to income, education, and occupation of the parents) does not by itself greatly increase a child's risk for having difficulty in learning to read after school income level has been accounted for.

We are not saying here that SES is not an important risk marker. What we are saying is that its effects are strongest when it is used to indicate the status of a school or a community or a district, not the status of individuals. A low-status child in a generally moderate or upper-status school or community is far less at risk than that same child in a whole school or community of low-status children.

References

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Alexander, K., and D. Entwisle. (1996). Schools and children at risk. pp. 67-88 in Family-School Links: How Do They Affect Educational Outcomes?, A. Booth and J. Dunn, eds. Hillsdale, NJ: Erlbaum.

Alwin, D.F., and A. Thornton. (1984). Family origins and the schooling process: Early versus late influence of parental characteristics. American Sociological Review 49:784-802.

August, D., and K. Hakuta, eds. (1997). Improving Schooling for Language-Minority Children: A Research Agenda. National Research Council and Institute of Medicine. Washington, DC: National Academy Press.

Bryk, A.S., and S.W. Raudenbush. (1987). Application of hierarchical linear models to assessing change. Psychological Bulletin 101(1):147-158.

Bus, A.G., M.H. van IJzendoorn, and A.D. Pellegrini. (1995). Joint book reading makes for success in learning to read: A meta-analysis on intergenerational transmission of literacy. Review of Educational Research 65(1):1-21.

DeBaryshe, B.D. (1993). Joint picture-book reading correlates of early oral language skill. Journal of Child Language 20(2):455-461.

DeBaryshe, B.D., M.B. Caulfield, J.P. Witty, J. Sidden, H.E. Holt, and C.E. Reich. (1991). The Ecology of Young Children's Home Reading Environments. Paper presented at the biennial meeting of the Society for Research in Child Development, April 18-21, 1991, Seattle.

Elbro, C., I. Borstrom, and D.K. Petersen. (1996). Predicting Dyslexia from Kindergarten: The Importance of Distinctness of Phonological Representations of Lexical Items. Unpublished paper.

Entwisle, D.R., and N.M. Astone. (1994). Some practical guidelines for measuring youth's race/ethnicity and socioeconomic status. Child Development 65(6):1521-1540.

Estrada, P., W.F. Arsenio, R.D. Hess, and S.D. Holloway. (1987). Affective quality of the mother-child relationship: Longitudinal consequences for children's school-relevant cognitive functioning. Developmental Psychology 23(2): 210-215.

Finucci, J.M., L. Gottfredson, and B. Childs. (1985). A follow-up study of dyslexic boys. Annals of Dyslexia 35:117-136.

Finucci, J.M., J.T. Guthrie, A.L. Childs, H. Abbey, and B. Childs. (1976). The genetics of specific reading disability. Annals of Human Genetics 40:1-23.

Fowler, M.G., and A.W. Cross. (1986). Preschool risk factors as predictors of early school performance. Journal of Developmental and Behavioral Pediatrics 7(4):237-241.

Galton, F. (1874). English Men of Science: Their Nature and Nurture. London: MacMillan.

Gilger, J.W., B.F. Pennington, and J.C. DeFries. (1991). Risk for reading disability as a function of family history in three family studies. Reading and Writing: An Interdisciplinary Journal 3:205-217.

Hallgren, B. (1950). Specific dyslexia: A clinical and genetic study. Acta Psychiatr Neuro Scan 65(Suppl): 179-189.

Hart, B., and T.R. Risley. (1995). Meaningful Differences in the Everyday Experience of Young American Children. Baltimore: Paul H. Brookes Publishing Co.

Hess, R.D., and S. Holloway. (1984). Family and school as educational institutions. Pp. 179-222 in Review of Child Development Research, 7: The Family, R.D. Parke, ed. Chicago: University of Chicago Press.

Horn, W.F., and J.P. O'Donnell. (1984). Early identification of learning disabilities: A comparison of two methods. Journal of Educational Psychology 76(6):1106-1118.

Labov, W. (1966). Some sources of reading problems. Pp. 140-167 in New Directions in Elementary English, A. Frazier, ed. Champaign, IL: National Council of Teachers of English.

Mason, J. (1980). When do children begin to read: An exploration of four year old children's letter and word reading competencies. Reading Research Quarterly 15:203-227.

Mason, J., and D. Dunning. (1980). Toward a Model Relating Home Literacy with Beginning Reading. Paper presented to the American Educational Research Association, San Francisco.

Pungello, E.P., J.B. Kupersmidt, and M.R. Burchinal. (1996). Environmental risk factors and children's achievement from middle childhood to early adolescence. Developmental Psychology 32(4):755-767.

Richman, N., J. Stevenson, and P.J. Graham. (1982). Pre-school to school: A behavioural study. Behavioural Development: A Series of Monographs. London: Hospital for Sick Children.

Rowe, K.J. (1991). The influence of reading activity at home on students' attitudes towards reading, classroom attentiveness and reading achievement: An application of structural equation modelling. British Journal of Educational Psychology 61(1):.

Scarborough, H.S. (1989). Prediction of reading disability from familial and individual differences. Journal of Educational Psychology 81(1):101-108.

Scarborough, H.S. (1990). Very early language deficits in dyslexic children. Child Development 61:1728-1743.

Scarborough, H.S. (1991). Early syntactic development of dyslexic children. Annals of Dyslexia 41:207-220.

Scarborough, H.S. (1998). Early identification of children at risk for reading disabilities: Phonological awareness and some other promising predictors. Pp. 77-121 in Specific Reading Disability: A View of the Spectrum, B.K. Shapiro, P.J. Accardo, and A.J. Capute, eds. Timonium, MD: York Press.

Scarborough, H.S., and W. Dobrich. (1994). On the efficacy of reading to preschoolers. Developmental Review 14:245-302.

Scarborough, H.S., W. Dobrich, and M. Hager. (1991). Preschool literacy experience and later reading achievement. Journal of Learning Disabilities 24(8):508-511.

Share, D.L., A.F. Jorm, R. Maclean, and R. Matthews. (1984). Sources of individual differences in reading acquisition. Journal of Educational Psychology 76(6):1309-1324.

Smitherman, G. (1977). Black English and the Education of Black Children and Youth. Proceedings of the National Invitational Symposium on the KING Decision. Detroit: Center for Black Studies, Wayne State University.

Thomas, B. (1984). Early toy preferences of four-year-old readers and nonreaders. Child Development 55:424-430.

Vogler, G.P., J.C. DeFries, and S.N. Decker. (1985). Family history as an indicator of risk for reading disability. Journal of Learning Disabilities 18:419-421.

Walberg, H.J., and S. Tsai. (1984). Reading achievement and diminishing returns to time. Journal of Educational Psychology 76(3):442-451.

Walberg, H.J., and S. Tsai. (1985). Correlates of reading achievement and attitude: A national assessment study. Journal of Educational Research 78(3):159-167.

Wells, C.G. (1985). Preschool literacy-related activities and success in school. In Literacy, Language, and Learning, D. Olson, M. Torrance, and A. Hildyard, eds. London: Cambridge University Press.

White, K.R. (1982). The relation between socioeconomic status and academic achievement. Psychological Bulletin 91:461-481.

Wolfram, W. (1991). Bidialect Literacy in the United States. ERIC Clearinghouse No. FL800344.

Excerpted from: Snow, C. E., Burns, S. M., & Griffin, P. Editors. (1998). Preventing Reading Difficulties in Young Children, Chapter 4: Predictors of Success and Failure in Reading.. National Research Council, National Academy of Sciences. Courtesy of National Academy Press. Reprinted with permission.

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