At-risk high school students in the "Gaining Early Awareness and Readiness Program" (GEAR UP): Academic and behavioral outcomes

Journal of Primary Prevention

Volumn 27, Issue 5, 2006, Pages 457-475

  Yampolskaya, Svetlana ^a   Massey, Oliver T ^a   Greenbaum, Paul E ^a  

^a UNIVERSITY OF SOUTH FLORIDA   (United States)

Author keywords

Academic performance; At risk high school students; Education program

Indexed keywords

AFRICAN AMERICAN; ARTICLE; BEHAVIOR; HIGH SCHOOL STUDENT; HUMAN; MEDICAL EDUCATION; METHODOLOGY; OUTCOME ASSESSMENT; RACE DIFFERENCE; RISK FACTOR; SCORING SYSTEM; SOCIAL ASPECT; STRESS; UNITED STATES;

ABSENTEEISM; ACHIEVEMENT; ADOLESCENT; ADOLESCENT BEHAVIOR; AFRICAN AMERICANS; ANALYSIS OF VARIANCE; COUNSELING; FEMALE; FLORIDA; FOLLOW-UP STUDIES; HUMANS; LOGISTIC MODELS; MALE; MENTORS; REMEDIAL TEACHING; RESEARCH; RISK FACTORS; RISK-TAKING; SEX FACTORS; SOCIALIZATION; SOCIOECONOMIC FACTORS; STUDENTS; TIME FACTORS; URBAN POPULATION;

EID: 33748556523     PISSN: 0278095X     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10935-006-0050-z     Document Type: Article

References (48)

1. Brier, N. (1995). Predicting antisocial behavior in youngsters displaying poor academic achievement: A review of risk factors. Journal of Developmental and Behavioral Pediatrics, 16, 271-275.
2. Bryant, A. L., Schulenberg, J., Bachman, J. G., O'Malley, P. M., & Johnston, L. D. (2000). Understanding the links among school misbehavior, academic achievement and cigarette use during adolescence: A national panel study of adolescents. Prevention Science, 1, 71-87.
3. Braddock, J. H. (1990). Tracking: Implications for student race-ethnic subgroups. Baltimore, MD: John Hopkins University, Center for Research for the Effective Schooling of Disadvantaged Children.
4. Cairns, R. B., Cairns, B. D., & Neckerman, H. J. (1989). Early school dropout: Configurations and determinants. Child Development, 60, 1437-1452.
5. Cochran, W. G. (1965). The planning of observational studies in human populations. Journal of the Royal Statistical Society, 128, 134-155.
6. Cook, T. D., Church, M. B., Ajanaku, S., & Shadish, W. R. (1996). The development of educational aspirations and expectations among inner-city boys. Child Development, 6, 3368-3385.
7. Crooks, D. L. (1995). American children at risk: Poverty and its consequences for children's health, growth, and school achievement. Yearbook of Physical Anthropology, 38, 57-86.
8. Curtis, B., Livingstone, D. W., & Smaller, H. (1992). Stacking the deck: The streaming of working-class kids in Ontario schools. Toronto, ON: Our Schools/Our Selves Education Foundation.
9. Dryfoos, J. G. (1990). Adolescents at risk: Prevalence and prevention. New York: Oxford University Press.
10. Duncan, G. J., Brooks-Gunn, J., Yeung, W. J., & Smith, J. R. (1998). How much does childhood poverty affect the life chances of children? American Sociological Review, 63, 406-423.
11. Ellickson, P. L., & McGuigan, K. A. (2000). Early predictors of adolescence violence. American Journal of Public Health, 90, 566-572.
12. Foster, E. M. (2003). Propensity score matching: An illustrative analysis of dose response. Medical Care, 41, 1183-1192.
13. Imbens, G.W. (2000). The role of propensity score in estimating dose-response functions. Biometrica, 87, 706-710.
14. Ensminger, M. E., & Slusarcick, A. L. (1992). Paths to high school graduation or dropout: A longitudinal study of a first-grade cohort. Sociology of Education, 65, 95-113.
15. Fachola, O. S. (1999). After-school programs and student misbehavior. Education Digest, 65, 62-65.
16. Hearn, J. C. (1991). Academic and nonacademic influences on the college destinations of 1980 high school graduates. Sociology of Education, 64, 158-171.
17. Higher Education Amendments of 1998. Pub. L. No. 105-244.
18. Holden, G. W., Nelson, P. B., Velasquez, J., & Ritchie K. L. (1993). Cognitive, psychological, and reported sexual behavior differences between pregnant and nonpregnant adolescents. Adolescence, 28, 557-572.
19. Huberty, C. J., & Morris, J. D. (1989). Multivariate analysis versus multiple univariate analyses. Psychological Bulletin, 105, 302-308.
20. Hullsiek, K. H., & Louis, T. A. (2002). Propensity score modeling strategies for the causal analysis of observational data. Biostatistics, 2, 179-193.
21. Jencks, C. (1979). Who gets ahead? The determinants of economic success in America. New York: Basic Books.
22. Lipsey, M. W., & Derzon, J. H. (1998). Predictors of violent or serious delinquency in adolescence and early adulthood: A synthesis of longitudinal research. In R. Loeber & D. P. Farrington (Eds.), Serious and violent juvenile offenders: Risk factors and successful interventions (pp. 86-105). Thousand Oaks, CA: Sage.
23. Marshall, N. L., Coll, C. G., Marx, F., McCartney, K., Keefe, N., & Ruh, J. (1997). After-school time and children's behavior-related adjustment. Merrill-Palmer Quarterly, 43, 497-514.
24. McCaffrey, D. F., Ridgeway, G., & Morral, A. R. (2004). Propensity score estimation with boosted regression for evaluating causal effects in observational studies. Psychological Methods, 9, 403-425.
25. McNamara, K. (2000). Outcomes associated with service involvement among disengaged youth. Journal of Drug Education, 30, 229-245.
26. Newcomb, M. D., Abbott, R., D., Catalano, R. F., Hawkins, J. D., Battin-Pearson, S., & Hill, K. (2002). Mediational and deviance theories of late high school failure: Process roles of structural strains, academic competence, and general vs. specific problem behaviors. Journal of Counseling Psychology, 49, 171-186.
27. Oakes, J., & Lipton, M. (1996). Developing alternatives to tracking and grading. In L. I. Rendon & R. O. Hope (Eds.), Educating a new majority: Transforming America's educational system for diversity (pp. 168-200). San Francisco: Jossey-Bass.
28. Parelius, A. P., & Parelius R. J. (1978). The sociology of education. Englewood Cliffs, NJ: Prentice Hall.
29. Parke, R. D., & Buriel, R. (1998). Socialization in the family: Ethnic and ecological perspectives. In W. Damon & N. Eisenberg (Eds.), Handbook of child psychology: Social, emotional, and personality development (pp. 463-552). New York: Wiley.
30. Pong, S. (1997). Family structure, school context, and eighth-grade math and reading achievement. Journal of Marriage and the Family, 59, 734-746.
31. Ramey, C. T., & Ramey, S. L. (1990). Intensive educational intervention for children of poverty. Intelligence, 14, 1-9.
32. Richmond, J. B. (1992). Poverty and the schools. Bulletin of the New York Academy of Medicine, 68, 32-45.
33. Roffman, J. G., Pagano, M. E., & Hirsch, B. J. (2001). Youth functioning and experiences in inner-city after-school programs among age, gender, and race groups. Journal of Child and Family Studies, 10, 85-100.
34. Rosenbaum, P. R., & Rubin, D. B. (1984).Reducing bias in observational studies using subclassification on the propensity score. Journal of the American Statistical Association, 79, 516-524.
35. Rosenbaum, P. R. (1995). Observational studies. New York: Springer-Verlag.
36. Royse, D. (1998). Mentoring high-risk minority youth: Evaluation of the Brothers Project. Adolescence, 33, 146-158.
37. Rubin, D. B. (1997). Estimating causal effects from large data sets using propensity scores. Annals of Internal Medicine, 127, 757-763.
38. Rubin, D. B., & Thomas, N. (1996). Matching using estimated propensity scores: Relating theory to practice. Biometrics, 52, 249-264.
39. Rumberger, R. W. (1987). High school dropouts: A review of issues and evidence. Review of Educational Research, 57, 101-121.
40. Schinke, S. P., Orlandi, M. A., & Cole, K. C. (1992). Boys and Girls Clubs in public housing developments: Prevention services for youth at risk. Journal of Community Psychology, OSAP Special Issues, 118-128.
41. Smith, C. (1996). The link between childhood maltreatment and teenage pregnancy. Social Work Research, 20, 131-140.
42. Smith-Maddox, R. (1999). The social networks and resources of African American eighth graders: Evidence from the national educational longitudinal study of 1988. Adolescence, 34, 169-183.
43. U.S. Department of Education (1990). National goals for education. Washington, DC: U.S. Government Printing Office.
44. U.S. Department of Education (2002). Audit of gaining awareness and readiness for undergraduate programs (ED-OIG/A07-A0033). Washington, DC: U.S. Department of Education, Office of the Inspector General.
45. Voelkl, K. E., & Fronte, M. R. (2000). Predictors of substance use at school among high school students. Journal of Educational Psychology, 92, 583-592.
46. Weisman, S. A., & Gottfredson, D. C. (2001). Attrition from after school programs: Characteristics of students who drop out. Prevention Science, 2, 201-205.
47. Wentzel, K. R. (1998). Social relationships and motivation in middle school: The role of parents, teachers, and peers. Journal of Educational Psychology, 90, 202-209.
48. Wilson, S. J., Lipsey, M. W., & Derzon, J. H. (2003). The effects of school-based intervention programs on aggressive behavior: A meta-analysis. Journal of Consulting and Clinical Psychology, 71, 136-149.