Relationship between school suspension and student outcomes: A meta-analysis

School Psychology Review

Volumn 44, Issue 2, 2015, Pages 224-240

  Noltemeyer, Amity L ^a   Ward, Rose Marie ^a   McLoughlin, Caven ^b  

^a MIAMI UNIVERSITY   (United States)

^b KENT STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 85002633258     PISSN: 02796015     EISSN: None     Source Type: Journal    
DOI: 10.17105/spr-14-0008.1     Document Type: Article

References (73)

1. Ahn, S. (2010). The effects of school membership on academic and behavioral performance of at-risk students (Doctoral dissertation). Retrieved from ERIC database. (ED517291).
2. Albertus, M. D. (2011). The relationship between student literacy and student discipline: An analysis of student data in the Gwinnett public school system (Doctoral dissertation). Retrieved from EBSCOhost PsycINFO database. (2011-99011-084).
3. Allman, K. L. (2011). Students with disabilities: The impact of student discipline on academic achievement (Doctoral dissertation). Retrieved from EBSCOhost PsycINFO database. (2011-99210-168).
4. Alspaugh, J. W. (1996). The longitudinal effects of socioeconomic status on elementary school achievement. Retrieved from ERIC database. (ED397120).
5. Arcia, E. (2006). Achievement and enrollment status of suspended students: Outcomes in a large, multicultural school district. Education and Urban Society, 38, 359- 369. doi:10.1177/0013124506286947.
6. Barrett, S. P., Bradshaw, C. P., & Lewis-Palmer, T. (2008). Maryland statewide PBIS initiative: Systems, evaluation, and next steps. Journal of Positive Behavior Interventions, 10, 105-114. doi:10.1177/1098300707312541.
7. Boon, H. J. (2008). Risk or resilience? What makes a difference? Australian Educational Researcher, 35(1), 81-102. doi:10.1007/BF03216876.
8. Borenstein, M., Hedges, L., Higgins, J., & Rothstein, H. (2007). Comprehensive meta-analysis (Version 2) [Computer software]. Englewood, NJ: Biostat.
9. Bruce, T. E. (2010). Selected correlates of suspension of students in a regional secondary school in southeastern New England (Doctoral dissertation). Retrieved from EBSCOhost ERIC database. (ED517082).
10. Burns, M. K. (2011). School psychology research: Combining ecological theory and prevention science. School Psychology Review, 40, 132-139.
11. Carpenter, D. M. II, & Ramirez, A. (2007). More than one gap: Dropout rate gaps between and among Black, Hispanic, and White students. Journal of Advanced Academics, 19, 32-64.
12. Chapman, C., Laird, J., & KewalRamani, A. (2010). Trends in high school dropout and completion rates in the United States: 1972-2008 (NCES 2011-012).Washington, DC: National Center for Education Statistics, Institute of Education Sciences, U.S. Department of Education. Retrieved from http://nces.ed.gov/pubs2011/2011012.pdf.
13. Chin, J. K., Dowdy, E., Jimerson, S. R., & Rime, J. (2012). Alternatives to suspension: Rationale and recommendations. Journal of School Violence, 11, 156- 173.
14. Christle, C. A., Jolivette, K., & Nelson, C. M. (2007). School characteristics related to high school dropout rates. Remedial and Special Education, 28, 325-339. doi:10.1177/07419325070280060201.
15. Christle, C. A., Nelson, C. M., & Jolivette, K. (2004). School characteristics related to the use of suspension. Education and Treatment of Children, 27, 509-526.
16. Eckstrom, R. B., Goertz, M. E., Pollack, J. M., & Rock, D. A. (1986). Who drops out of high school and why? Findings from a national study. Teachers College Record, 87, 357-373.
17. Egger, M., Smith, G. D., Schneider, M., & Minder, C. (1997). Bias in meta-analysis detected by a simple, graphical test. British Medical Journal, 315, 629-634.
18. Fenning, P., Golomb, S., Gordon, V., Kelly, M., Scheinfield, R., Morello, T., & Banull, C. (2008). Written discipline policies used by administrators: Do we havesufficient tools of the trade? Journal of School Violence, 7, 123-146. doi:10.1300/J202v07n02-08.
19. Fowler, W. J., & Walberg, H. J. (1991). School size, characteristics, and outcomes. Education Evaluation and Policy Analysis, 13, 189-202. doi:10.3102/01623737013002189.
20. Franklin, B. J., & Crone, L. J. (1992, November). School accountability: Predictors and indicators of Louisiana school effectiveness. Paper presented at the annual meeting of the Mid-South Educational Association, Knoxville, TN. (ERIC Document Reproduction Service No. ED 354 261).
21. Gifford-Smith, M., Dodge, K. A., Dishion, T. J., & Mc- Cord, J. (2005). Peer influence in children and adolescents: Crossing the bridge from developmental to intervention science. Journal of Abnormal Child Psychology, 33(3), 255-265. doi:10.1007/s10802-005-3563-7.
22. Gilliam, W. S. (2005). Prekindergarteners left behind: Expulsion rates in state prekindergarten systems. Early education. New Haven, CT: Yale University Child Study Center.
23. Gonzalez, P., & Institute of Education Sciences (2006). School behavior and disciplinary experiences of youth with disabilities. Facts from the National Longitudinal Transition Study-2 (NLTS2). Washington, DC: U.S. Department of Education.
24. Goran, L. G., & Gage, N. A. (2011). A comparative analysis of language, suspension, and academic performance of students with emotional disturbance and students with learning disabilities. Education & Treatment of Children, 34, 469-488. doi:10.1353/etc.2011.0035.
25. Hunter, J. E., & Schmidt, F. L. (2004). Methods of metaanalysis: Correcting error and bias in research findings. Thousand Oaks, CA: Sage.
26. Hyman, I. A. (1997). School discipline and school violence: The teacher variance approach. Boston, MA: Allyn & Bacon.
27. Johnston, J. S. (1989). High school completion of inschool suspension students. NASSP Bulletin, 73(521), 89-95. doi:10.1177/019263658907352117.
28. Kim, J. (2011). Relationships among and between ELL status, demographic characteristics, enrollment history, and school persistence (CRESST Report 810). Los Angeles, CA: University of California, National Center for Research on Evaluation, Standards, and Student Testing.
29. Lassen, S. R., Steele, M. M., & Sailor, W. (2006). The relationship of school-wide positive behavior support to academic achievement in an urban middle school. Psychology in the Schools, 43, 701-712. doi:10.1002/pits.20177.
30. Lee, T., Cornell, D., Gregory., A., & Fan, X. (2011). High suspension schools and dropout rates for Black and White students. Education & Treatment of Children, 34, 167-192.
31. Lipsey, M. W., & Wilson, D. B. (2001). Practical metaanalysis. Thousand Oaks, CA: Sage.
32. Lochner, L., & Moretti, E. (2002). The effect of education on crime: Evidence from prison inmates, arrests and self-reports. The American Economic Review, 94, 155- 189. doi:10.1257/000282804322970751.
33. Losen, D. J. (2011). Discipline policies, successful schools, and racial justice. Boulder, CO: National Education Policy Center. Retrieved from http://nepc.colorado.edu/publication/discipline-policies.
34. Losen, D. J., & Skiba, R. J. (2010). Suspended education: Urban middle schools in crisis. Retrieved from http://civilrightsproject.ucla.edu/research/k-12-education/school-discipline/suspended-education-urban-middleschools-in-crisis.
35. MacIver, M. A. (2011). The challenge of improving urban high school graduation outcomes: Findings from a randomized study of dropout prevention efforts. Journal of Education for Students Placed at Risk, 16, 167-184. doi:10.1080/10824669.2011.584497.
36. Mcloughlin, C. S., & Noltemeyer, A. L. (2010). Research into factors contributing to discipline use and disproportionality in major urban schools. Current Issues in Education, 13(2), 1-21.
37. Moore, J. E. (1987, April). Middle school folklore: It may be true! Paper presented at the annual meeting of the American Educational Association, Washington, DC. Retrieved from ERIC database. (ED283902).
38. Morrison, G. M., Anthony, S., Storino, M., & Dillon, C. (2001). An examination of the disciplinary histories and the individual and educational characteristics of students who participate in an in-school suspension program. Education & Treatment of Children, 24, 276-293.
39. Muyskens, P., Marston, D., & Reschly, A. L. (2007). The use of response to intervention practices for behavior: An examination of the validity of a screening instrument. California School Psychologist, 12, 31-45.
40. Noltemeyer, A., & Fenning, P. (2013). Systemic school discipline: Issues of equity from a social justice perspective (pp. 91-117). In D. Shriberg, S. Y. Song, . A. H. Miranda, & K. M. Radliff (Eds.), School psychology and social justice: Conceptual foundations and tools for practice. New York, NY: Routledge
41. Noltemeyer, A. L., & Mcloughlin, C. S. (2010). Patterns of exclusionary discipline by school typology, ethnicity, and their interaction. Perspectives on Urban Education, 7, 27-40.
42. Northeastern University-Center for Labor Market Studies. (2009). Left behind in America: The nation's dropout crisis. Boston, MA: Center for Labor Market Studies Publications. Retrieved from http://hdl.handle.net/2047/d20000598.
43. Quintana, S. M., & Minami, T. (2006). Guidelines for meta-analyses of counseling psychology research. The Counseling Psychologist, 34, 839-877. doi:10.1177/0011000006286991.
44. Raffaele Mendez, L. M. (2003). Predictors of suspension and negative school outcomes: A longitudinal investigation. New Directions for Youth Development, 99, 17-33.
45. Raffaele Mendez, L. M., & Knoff, H. M. (2003). Who gets suspended from school and why: A demographic analysis of schools and disciplinary infractions in a large school district. Education & Treatment of Children, 26, 30-51.
46. Rausch, M. K., & Skiba, R. (2004). Unplanned outcomes: Suspensions and expulsions in Indiana. Education Policy Briefs, 2(2), 1-8. Retrieved from http://ceep.indiana.edu/projects/PDF/PB-V2N2-UnplannedOutcomes.pdf.
47. Ridings, K. R. (2010). The place of at-risk factors among students graduating or dropping out of high school: A study of path analyses (Doctoral dissertation). Retrieved from EBSCOhost ERIC database. (ED521726).
48. Robey, R. R., & Dalebout, S. D. (1998). A tutorial on conducting meta-analysis of clinical outcome research. Journal of Speech, Language, and Hearing Research, 41, 1227-1241.
49. Robinette, D. (2012). Alternatives to student suspension. Leadership, 42, 32-36.
50. Safer, D. J. (1986). Nonpromotion correlates and outcomes at different grade levels. Journal of Learning Disabilities. 19, 500-503. doi:10.1177/002221948601900812.
51. Shadish, W. R. Jr., & Sweeney, R. B. (1991). Mediators and moderators in meta-analysis: There's a reason we don't let dodo birds tell us which psychotherapies should have prizes. Journal of Consulting and Clinical Psychology, 59, 883-893. doi:10.1037/0022-006X.59.6.883.
52. Sharkey, J. D., & Fenning, P. A. (2012). Rationale for designing school contexts in support of proactive discipline. Journal of School Violence, 11, 95-104. doi:10.1080/15388220.2012.646641.
53. Shepard, C. (2010). An investigation of middle school suspensions and the relationship of middle school suspensions to district-wide test scores (Doctoral dissertation). Retrieved from EBSCOhost PsychINFO database. (2010-99171-137).
54. Shirley, E. L. M., & Cornell, D. G. (2011). The contribution of student perceptions of school climate to understanding the disproportionate punishment of African American students in a middle school. School Psychology International, 33, 115-134. doi:10.1177/0143034311406815.
55. Silvey, D. F. (1995). The effect of in-school suspension on the academic progress of high school science and English students. Retrieved from ERIC database. (ED389069).
56. Skiba, R. J., Horner, R. H., Chung, C-G., Rausch, M. K., May, S. L., & Tobin, T. (2011). Race is not neutral: A national investigation of African American and Latino disproportionality in school discipline. School Psychology Review, 40, 85-107.
57. Skiba, R., & Rausch, M. K. (2004). The relationship between achievement, discipline, and race: An analysis of factors predicting ISTEP scores. Children left behind policy briefs supplementary analysis 2-D. Bloomington, IN: Indiana University Center for Evaluation and Education Policy.
58. Skiba, R., Simmons, A., Staudinger, L., Rausch, M., Dow, G., & Feggins, R. (2003). Consistent removal: Contributions of school discipline to the school-toprison pipeline. School to Prison Pipeline Conference: Harvard Civil Rights Project. Retrieved from http://varj.onefireplace.org/Resources/Documents/Consistent%20Removal.pdf.
59. Stokes, S. B. S. (2012). The relationship between suspension, student engagement, and dropout (Doctoral dissertation). Retrieved from EBSCOhost PsycINFO database. (2012-99030-208).
60. Strompolis, M., Vishnevsky, T., Reeve, C. L., Munsell, E. P., Cook, J. R., & Kilmer, R. P. (2012). Educational outcomes in a system of care for children with emotional disturbance. American Journal of Orthopsychiatry, 82, 129-136. doi:10.1111/j.1939-0025.2011.01126.x.
61. Suh, S., & Suh, J. (2007). Risk factors and levels of risk for high school dropouts. Professional School Counseling, 10, 297-306.
62. Sullivan, A. L., Klingbeil, D., & Van Norman, E. (2013). Beyond behavior: Multilevel analysis of the influence of sociodemographics and school characteristics on students' risk of suspension. School Psychology Review, 47, 99-114.
63. Sumner, M. D., Silverman, C. J., & Frampton, M. L. (2010). School-based restorative justice as an alternative to zero-tolerance policies: Lessons from West Oakland. Berkeley, CA: Thelton E. Henderson Center for Social Justice, University of California, Berkeley, School of Law.
64. Sweeten, G. A. (2004). School dropout and subsequent offending: Distinguishing selection from causation (Master's thesis, University of Maryland). Retrieved from http://drum.lib.umd.edu/bitstream/1903/191/1/dissertation.pdf.
65. Thompson, M. A. (2006). The relationship between student disciplinary referrals and Illinois Standards Achievement Test scores in a Midwestern urban school district (Doctoral dissertation). Retrieved from EBSCOhost PsycINFO database. (2011-99091-112).
66. Tobin, T. J., & Sugai, G. M. (1999). Using sixth-grade school records to predict school violence, chronic discipline problems, and high school outcomes. Journal of Emotional and Behavioral Disorders, 7, 40-53. doi:10.1177/106342669900700105.
67. Townsend, L., Flisher, A. J., & King, G. (2007). A systematic of the relationship between high school dropout and substance use. Clinical Child and Family Psychology Review, 10, 295-317. doi:10.1007/s10567-007-0023-7.
68. U.S. Department of Education Office of Civil Rights. (2014). Civil rights data collection: Data snapshot (school discipline). Retrieved from http://www2.ed.gov/about/offices/list/ocr/docs/crdc-disciplinesnapshot.Pdf.
69. Waldfogel, J., Garfinkel, I., & Kelly, B. (2007). Welfare and the costs of public assistance. In C. R. Belfield & H. M. Levin (Eds.), The price we pay: Economic and social consequences of inadequate education (pp. 160-176). Washington, DC: Brookings Institution.
70. Williams, T. R., Davis, L. E., Miller Cribbs, J., Saunders, J., & Williams, J. H. (2002). Friends, family, and neighborhood: Understanding academic outcomes of African American youth. Urban Education, 37, 408- 431. doi:10.1177/0042085902373006.
71. Wolf, F. M. (1986). Meta-analysis: Quantitative methods for research synthesis. Newbury Park, CA: Sage.
72. Wu, S., Pink, W., Crain, R. L., & Moles, O. (1982) Student suspension: A critical reappraisal. Urban Review, 14, 245-303. doi:10.1007/BF02171974.
73. Zablocki, M. S. (2009). Predicting school dropout among youth with disabilities: The role of youth characteristics, academic experiences, and emotional engagement factors. Available from ProQuest Dissertations and Theses database.