Skip to main content

Advertisement

Log in

Developing an Additive Risk Model for Predicting Academic Index: School Factors and Academic Achievement

  • Published:
Child and Adolescent Social Work Journal Aims and scope Submit manuscript

Abstract

The impact of school factors on academic achievement has become an important focus for identifying, preventing, and intervening with youth at-risk for academic failure. This study was designed to develop and test a more comprehensive school factor risk index. Specifically, the relationship between cumulative grade point average (GPA) and an additive risk index (ARI) were tested and an analysis of the index is presented. School factors that been shown in previous research to impact academic achievement were tested. Those factors were included in the final risk index if they met the criteria of (1) having a correlation with GPA, (2) containing a difference in outcomes between the risk and non-risk groups, and (3) making a unique contribution to the overall index. The risk and protective factors included in the creation of the ARI were attendance, academic self-efficacy, academic expectations, grade retention, music instruction, and school behaviors. The interplay between risk and protective factors was shown to have a significant relationship with GPA.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2

Similar content being viewed by others

References

  • Abu-Hilal, M. M. (2000). A structural model of attitudes towards school subjects, academic aspiration and achievement. Educational Psychology, 20(1), 76–84.

    Article  Google Scholar 

  • Alpert, G., & Dunham, R. (1986). Keeping academically marginal youths in school: A prediction model. Youth & Society, 17(4), 346–361.

    Article  Google Scholar 

  • Aviles, A. A., Anderson, T. R., & Davila, E. R. (2006). Child and adolescent social-emotional development within the context of school. Child and Adolescent Mental Health, 11(1), 32–39.

    Article  Google Scholar 

  • Bandura, A. (1986). Social foundations of thought and action: A social cognitive theory. Englewood Cliffs, NJ: Prentice-Hall.

    Google Scholar 

  • Bang, H. J., Suarez-Orozco, C., Pakes, J., & O’Connor, E. (2009). The importance of homework in determining immigrant students’ grades in schools in the USA context. Educational Research, 51(1), 1–25.

    Article  Google Scholar 

  • Beacon, D. R., & Bean, B. (2006). GPA in research studies: An invaluable but neglected opportunity. Journal of Marketing Education, 28(1), 35–42.

    Article  Google Scholar 

  • Bergin, C., & Bergin, D. (2009). Attachment in the classroom. Educational Psychology Review, 21(2), 141–170.

    Article  Google Scholar 

  • Beverly, S. G. (2001). Material hardship in the United States: Evidence from a survey of income and program participation. Social Work Research, 25(3), 143–151.

    Google Scholar 

  • Bowen, N. K. (2006). Psychometric properties of the elementary school success profile. Social Work Research, 30(1), 51–63.

    Google Scholar 

  • Bowen, G. L., & Richman, J. M. (2002). Schools in the context of communities. Children & Schools, 24(2), 67.

    Google Scholar 

  • Bowen, G. L., & Richman, J. M. (2005). The school success profile. Chapel Hill: Jordan Institute for Families, School of Social Work, The University of North Carolina at Chapel Hill.

    Google Scholar 

  • Bronfenbrenner, U. (1979). The ecology of human development. Cambridge, MA: Harvard University Press.

    Google Scholar 

  • Bronfenbrenner, U. (1994). Ecological models of human development. In T. Husten & T. N. Postelthwaite (Eds.), International encyclopedia of education (Vol. 3) (2nd ed., pp. 1643–1647). New York: Elsevier science.

    Google Scholar 

  • Burchinal, M., Roberts, J. E., Zeisel, S. A., Hennon, E. A., & Hooper, S. (2006). Social risk and protective child, parenting, and child care factors in early elementary school years. Parenting: Science and Practice, 6(1), 79–113.

    Google Scholar 

  • Caldas, S. J., & Bankston, C. L. III., (1999). Multilevel examination of student, school, and district-level effects on academic achievement. Journal of Educational Research, 93(2), 91–100.

    Article  Google Scholar 

  • Catalano, R. F., Berglund, M. L., Ryan, J. A. M., Lonczak, H. S., & Hawkins, J. D. (2004). Positive youth development in the United States: Research findings on evaluations of positive youth development programs. The ANNALS of the American Academy of Political and Social Science, 591(1), 98–124.

    Article  Google Scholar 

  • Center for the Study of Social Policy. (1986). Preventing teenage pregnancy: A literature review. Washington, DC: The Center for the Study of Social Policy.

    Google Scholar 

  • Cooper, H., Lindsay, J. J., Nye, B., & Greathouse, S. (1998). Relationships among attitudes about homework, amount of homework assigned and completed, and student achievement. Journal of Educational Psychology, 90(1), 70–83.

    Article  Google Scholar 

  • Dandy, J., & Nettelbeck, T. (2002). A cross-cultural study of parents’ academic standards and educational aspirations for their children. Educational Psychology, 22(5), 621–627.

    Article  Google Scholar 

  • Demie, F. (2002). Pupil mobility and educational achievement in schools: An empirical analysis. Educational Research, 44(2), 197–215.

    Article  Google Scholar 

  • Dulmus, C. N., & Rapp-Pagglicci, L. A. (2004). Prevention and resilience. In L. A. Rapp-Pagglicci, C. N. Dulmus, & J. S. Wodarski (Eds.), Handbook of prevention interventions for children and adolescents. Hoboken. New Jersey: John Wiley & Sons, Inc.

    Google Scholar 

  • Dunn, M. C., Kadane, J. B., & Garrow, J. R. (2003). Comparing harm done by mobility and class absence: Missing students and missing data. Journal of Educational Behavior and Statistics, 28(3), 269–288.

    Article  Google Scholar 

  • Eamon, M. K. (2002). Effects of poverty on mathematics and reading achievement of young adolescents. Journal of Early Adolescence, 22(1), 49–74.

    Article  Google Scholar 

  • Evans, S. W. (1999). Mental health services in schools: Utilization, effectiveness, and consent. Clinical Psychology Review, 19(2), 165–178.

    Article  PubMed  Google Scholar 

  • Finn, J. D. (2006). The adult lives of at-risk students: The roles of attainment and engagement in high school. US Department of Education, Washington, DC: National Center for Educational Statistics.

    Google Scholar 

  • Finn, J. D., Gerber, S. B., & Boyd-Zaharias, J. (2005). Small classes in the early grades, academic achievement, and graduating from high school. Journal of Educational Psychology, 97(2), 214–223.

    Article  Google Scholar 

  • Fitzpatrick, K. R. (2006). The effect of instrumental music participation and socioeconomic status on Ohio fourth-, sixth-, and ninth-grade proficiency test performance. JRME, 54(1), 73–84.

    Google Scholar 

  • Fraser, M. W., Richman, J. M., & Galinsky, M. J. (1999). Risk, protection, and resilience: Toward a conceptual framework for social work practice. Social Work Research, 23(3), 131–143.

    Google Scholar 

  • Gardner, P. W., Ritblatt, S. N., & Beatty, J. R. (2000). Academic achievement and parental school involvement as a function of high school size. The High School Journal, 83(2), 21–27.

    Google Scholar 

  • Gutman, L. M., Sameroff, A. J., & Cole, R. (2003). Academic growth curve trajectories from 1st grade to 12th grade: Effects of multiple social risk factors and preschool child factors. Developmental Psychology, 39(4), 777–790.

    Article  PubMed  Google Scholar 

  • Hinnant, J. B., O’Brien, M., & Ghazarian, S. R. (2009). The longitudinal relations of teacher expectations to achievement in the early school years. Journal of Educational Psychology, 101(3), 662–670.

    Article  PubMed  Google Scholar 

  • Jimerson, S. R., Egeland, B., Sroufe, L. A., & Carlson, B. (2000). A prospective longitudinal study of high school dropouts: Examining multiple predictors across development. Journal of School Psychology, 38(6), 525–549.

    Article  Google Scholar 

  • Kellow, J. T., & Jones, B. D. (2008). The effects of stereotypes on the achievement gap: Reexamining the academic performance of African American high school students. Journal of Black Psychology, 34(1), 94–120.

    Article  Google Scholar 

  • Kennedy, A. C., & Bennett, L. (2006). Urban adolescent mothers exposed to community, family, and partner violence. Journal of Interpersonal Violence, 21(6), 750–773.

    Article  PubMed  Google Scholar 

  • Kinard, E. M. (2001). Perceived and actual academic competence in maltreated children. Child Abuse and Neglect, 25, 33–45.

    Article  PubMed  Google Scholar 

  • Klem, A. M., & Connell, J. P. (2004). Relationships matter: Linking teacher support to student engagement and achievement. Journal of School Health, 74(7), 262–273.

    Article  PubMed  Google Scholar 

  • Konstantopoulos, S. K. (2006). Trends of school effects on student achievement: Evidence from NLS:72, HSB:82, and NELS:92. Teachers College Record, 108(12), 2550–2581.

    Article  Google Scholar 

  • Laird, J., DeBell, M., & Chapman, C. (2006). Dropout rates in the United States: 2004, NCES 2007–024. Washington, DC: National Center for Educational Statistics.

    Google Scholar 

  • Luthar, S. S. (1991). Vulnerability and resilience: A study of high risk adolescents. Child Development, 62, 600–616.

    Article  PubMed  Google Scholar 

  • Luthar, S. S., & Zelazo, B. L. (2003). Research on resilience: An integrative review. In S. S. Luthar (Ed.), Resilience and vulnerability: Adaptation in the context of childhood adversities (pp. 511–549). New York: Cambridge University Press.

    Google Scholar 

  • Marsh, H. W., Martin, A. J., & Cheng, J. H. S. (2008). A multi-level perspective on gender in classroom motivation and climate: Potential benefits of male teachers for boys? Journal of Educational Psychology, 100(1), 78–95.

    Article  Google Scholar 

  • Masten, A. S., & Coatsworth, J. D. (1998). The development of competence in favorable and unfavorable environments: Lessons from research on successful children. American Psychologist, 53, 205–220.

    Article  PubMed  Google Scholar 

  • Masten, A. S., & Obradovic, J. (2006). Competence and resilience in development. In B. M. Lester, A. S. Masten, & B. McEwen (Eds.), Resilience in children (Vol. 1094 (pp. 13–27). Boston: Blackwell Publishing.

    Google Scholar 

  • Masten, A. S., & Powell, J. L. (2003). A resilience framework for research, policy, and practice. In S. S. Luthar (Ed.), Resilience and vulnerability: Adaptation in the context of childhood adversities (pp. 1–25). New York: Cambridge University Press.

    Chapter  Google Scholar 

  • Mullis, R. L., Rathge, R., & Mullis, A. K. (2003). Predictors of academic performance during early adolescence: A contextual view. International Journal of Behavioral Development, 27(6), 54–548.

    Article  Google Scholar 

  • Muris, P. (2001). A brief questionnaire for measuring self-efficacy in youths. Journal of Psychopathology and Behavioral Assessment, 23(3), 145–149.

    Article  Google Scholar 

  • Murray, C., & Malmgren, K. (2005). Implementing a teacher–student relationship program in a high-poverty urban school: Effects on social, emotional, and academic adjustment and lessons learned. Journal of School Psychology, 43, 137–152.

    Article  Google Scholar 

  • Obradovic, J., Long, J. D., Cutuli, J. J., Chan, C.-K., Hinz, E., Heistad, D., et al. (2009). Academic achievement of homeless and highly mobile children in a urban school district: Longitudinal evidence on risk, growth, and resilience. Development and Psychopathology, 21(2), 493–518.

    Article  PubMed  Google Scholar 

  • Perie, M., Grigg, W., & Dion, G. (2005). The nation’s report card: Mathematics 2005 (NCES 2006–453). Washington, DC: US Department of Education, National Center for Education Statistics, US Government Printing Office.

    Google Scholar 

  • Powers, J. D., Bowen, G. L., & Rose, R. A. (2005). Using social environment assets to identify intervention strategies for promoting school success. Children & Schools, 27(3), 177–187.

    Google Scholar 

  • Prelow, H. M., & Loukas, A. (2003). The role of resource, protective, and risk factors on academic achievement-related outcomes of economically disadvantaged Latino youth. Journal of Community Psychology, 31(5), 513–529.

    Article  Google Scholar 

  • Richman, J. M., Bowen, G. L., & Woolley, M. E. (2004). School failure: An eco-interactional developmental perspective. In M. W. Fraser (Ed.), Risk and resilience in childhood: An ecological perspective (2nd ed., pp. 133–160). Washington, DC: NASW Press.

    Google Scholar 

  • Rumberger, R. W., & Palardy, G. J. (2005). Does segregation still matter? The impact of student composition on academic achievement in high school. Teacher College Record, 107(9), 1999–2045.

    Article  Google Scholar 

  • Rutter, M. (1979). Protective factors in children’s response to stress and disadvantage. In M. W. Kent & J. E. Rolf (Eds.), Primary prevention in psychopathology: Social competence in children (Vol. 3). Hanover, NH: University Press of New England.

    Google Scholar 

  • Rutter, M. (1987). Psychosocial resilience and protective mechanism. American Journal of Orthopsychiatry, 57, 316–331.

    Article  PubMed  Google Scholar 

  • Rutter, M. (2006). Implications of resilience concepts for scientific understanding. In B. M. Lester, A. S. Masten, & B. McEwen (Eds.), Resilience in children (Vol. 1094 (pp. 1–12). Boston: Blackwell Publishing.

    Google Scholar 

  • Sameroff, A. J. (1985). Environmental factors in the early screening of children at risk. In W. K. Frankeburg, R. N. Emde, & J. W. Sullivan (Eds.), Early identification of children at risk: An international perspective (pp. 21–45). New York: Plenum Press.

    Google Scholar 

  • Sameroff, A. J. (2003). Ecological perspectives on development risk. In J. D. Osofsky & H. E. Fitzgerald (Eds.), WAIMH handbook of infant mental health (Vol. 4) (pp. 1–33). New York: John Wiley & Sons Inc.

    Google Scholar 

  • Sameroff, A. J. (2006). Identifying risk and protective factors for healthy child development. In A. Clarke-Stewart & J. F. Dunn (Eds.), Families count: Effects on child and adolescent development (pp. 53–78). New York: Cambridge University Press.

    Chapter  Google Scholar 

  • Sameroff, A. J., & Fiese, B. H. (2000). Transactional regulation: The developmental ecology of early intervention. In J. P. Shonkoff & S. J. Meisels (Eds.), Handbook of early childhood intervention (2nd ed., pp. 135–159). New York: Cambridge University Press.

    Google Scholar 

  • Schellenberg, E. G. (2006). Long-term positive associations between music lessons and IQ. Journal of Educational Psychology, 98(2), 457–468.

    Article  Google Scholar 

  • Schnurr, B. L., Kundert, D. K., & Nickerson, A. B. (2009). Grade retention: Current decision-making practices and involvement of school psychologists working in public schools. Psychology in the Schools, 46(5), 410–419.

    Article  Google Scholar 

  • Sirin, S. R., & Rogers-Sirin, L. (2004). Exploring school engagement of middle-class African American adolescents. Youth & Society, 35(3), 323–340.

    Article  Google Scholar 

  • Suldo, S. M., & Shaffer, E. J. (2007). Evaluation of the self-efficacy questionnaire for children in two samples of American adolescents. Journal of Psychoeducational Assessment, 25(4), 341–355.

    Article  Google Scholar 

  • Trochim, W. M. K. (1989a). An introduction to concept mapping for program evaluation. Evaluation and Program Planning, 12, 1–16.

    Article  Google Scholar 

  • Trochim, W. M. K. (1989b). Concept mapping: Soft science or hard art? Evaluation and Program Planning, 12, 87–110.

    Article  Google Scholar 

  • Wachs, T. D. (2000). Necessary but not sufficient. Washington, DC: American Psychological Association.

    Book  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Robert Lucio.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Lucio, R., Rapp-Paglicci, L. & Rowe, W. Developing an Additive Risk Model for Predicting Academic Index: School Factors and Academic Achievement. Child Adolesc Soc Work J 28, 153–173 (2011). https://doi.org/10.1007/s10560-010-0222-9

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10560-010-0222-9

Keywords

Navigation