Vol.4 , No. 1, Publication Date: Jan. 16, 2018, Page: 18-26
[1] | Amy R. Ambrose, Cryar Intermediate School, Conroe Independent School District, Conroe, Texas. |
[2] | George W. Moore, Department of Educational Leadership, Sam Houston State University, Huntsville, Texas. |
[3] | John R. Slate, Department of Educational Leadership, Sam Houston State University, Huntsville, Texas. |
[4] | Cynthia Martinez-Garcia, Department of Educational Leadership, Sam Houston State University, Huntsville, Texas. |
In this investigation, the graduation rates of students in poverty as a function of school size were examined. Archival data were analyzed from the Academic Excellence Indicator System report from the Texas Education Agency. School size was analyzed based on groupings as defined by [1, 2, 3]. Graduation rates were analyzed annually and longitudinal. In both the 2012-2013 and 2013-2014 school years, statistical significant differences were yielded for Graduation rates of students in poverty as a function of high school size. Students who lived in poverty who were enrolled in larger high schools had higher graduation rates than students in poverty who were enrolled in smaller high schools. For both school years, as student enrollment increased, graduation rates increased. Implications for policy and practice and recommendations for future research are provided.
Keywords
Graduation Rates, High School Completion, Poverty, School Size
Reference
[01] | Greeney, B., & Slate, J. R. (2012). School climate and high school size: A multi-year analysis of Hispanic students. American Clearinghouse Education Facilities Journal, 2 (2), 27-45. |
[02] | Perez, A., & Slate, J. R. (2015). Differences in Texas postsecondary enrollment as a function of high school size. Journal of Global Research in Education and Social Science, 5 (1), 34-39. |
[03] | University Interscholastic League. (2014). 2014-2015 and 2015-2016 Tentative Football and Basketball District Assignments and Reclassification Information. Retrieved from http://www.uil.utexas.edu/?SPID=11349 |
[04] | Murnane, R. J., & Hoffman, S. L. (2013, Fall). Graduations on the rise. Education Next, 13 (4), 58-65. |
[05] | Fitzgerald, K., Gordon, T. V., Canty, A. L., Stitt, R. E., Onwuegbuzie, A. J., & Frels, R. K. (2012). Ethnic differences in completion rates as a function of school size in Texas high schools. Journal of At-Risk Issues, 17 (2), 1-10. |
[06] | Martin, P. J., & Robinson, S. G. (2011). Transforming the school counseling profession. In B. T. Erford (Ed.), Transforming the school counseling profession (3rd ed., pp. 1-18). Upper Saddle River, NJ: Pearson Education. |
[07] | Bjerk, D. D. (2012). Re-examining the impact of dropping out on criminal and labor outcomes in early adulthood. Economics of Education Review, 31, 110-122. doi: 10.1016/j.econedurev.2011.09.003 |
[08] | Messacar, D., & Oreopoulos, P. (2013). Staying in school: A proposal for raising high-school graduation rates. Issues in Science & Technology, 29 (2), 55-61. |
[09] | Rumberger, R. W. (2011). Dropping out: Why students drop out of high school and what can be done about it. Cambridge, MA: Harvard University Press. doi: 10.4159/harvard.9780674063167 |
[10] | Zachry, E. M. (2010). Who needs a second chance? The challenge of documenting K-12 dropout and why adult educators should be concerned. Adult Basic Education & Literacy Journal, 4 (2), 75-85. |
[11] | Cataldi, E. F., Laird, J., & Kewal Ramani, A. (2009). High school dropout and completion rates in the United States. Washington, DC: National Center for Education Statistics. Retrieved from http://nces.ed.gov/pubsearch/pubsinfo.asp?pubid=2009064 |
[12] | Holzer, H. J. (1996). What employers want: Job prospects for less-educated workers. New York, NY: Russell Sage Foundation. |
[13] | McDaniel, M., & Kuehn, D. (2013). What does a high school diploma get you? Employment, race, and the transition to adulthood. The Review of Black Political Economy, 40, 371-399. |
[14] | Burrus, J., & Roberts, R. D. (2012). Dropping out of high school: Prevalence, risk factors and remediation strategies. R & D Connections, 18, 1-9. Retrieved from http://www.ets.org |
[15] | Nadirova, A., & Burger, J. (2014). Assessing student orientation to school to address low achievement and dropping out. Alberta Journal of Educational Research, 60, 300-321. |
[16] | National Center for Education Statistics. (2015). Public high school graduation rates. Retrieved from http://nces.ed.gov/programs/coe/indicator_coi.asp |
[17] | Elliott, W. (2013). The effects of economic instability on children's educational outcomes. Children & Youth Services Review, 35, 461-471. doi: 10.1016/j.childyouth.2012.12.017 |
[18] | Palardy, G. J. (2013). High school socioeconomic segregation and student attainment. American Educational Research Journal, 50, 714-754. doi: 10.3102/0002831213481240 |
[19] | Wodtke, G. T., Harding, D. J., & Elwert, F. (2011). Neighborhood effects in temporal perspective: The impact of long-term exposure to concentrated disadvantage on high school graduation. American Sociological Review, 76, 713-736. doi: 10.1177/0003122411420816 |
[20] | Burchinal, M. R., Roberts, J. E., Zeisel, S. A., & Rowley, S. J. (2008). Social risk and protective factors for African American children’s academic achievement and adjustment during the transition to middle school. Developmental Psychology, 44, 286-292. doi: 10.1037/0012-1649.44.1.286 |
[21] | Herbers, J. E., Cutuli, J. J., Supkoff, L. M., Heistad, D., Chan, C., Hinz, E., & Masten, A. S. (2012). Early reading skills and academic achievement trajectories of students facing poverty, homelessness, and high residential mobility. Educational Researcher, 41, 366-374. doi: 10.3102/0013189X12445320 |
[22] | Brunn-Bevel, R. J., & Byrd, W. C. (2015). The foundation of racial disparities in the standardized testing era. Humanity & Society, 39, 419-448. doi: 10.1177/0160597615603750 |
[23] | Entwisle, D. R., & Alexander, K. L. (1993). Entry into school: The beginning school transition and educational stratification in the United States. Annual Review of Sociology, 14, 249-268. |
[24] | Magnuson, K., & Waldfogel, J. (Eds.). (2008). Steady gains and stalled progress: Inequality and the Black-White test score gap. New York, NY: Russell Sage Foundation. |
[25] | Huntington, N., Buckner, J. C., & Bassuk, E. L. (2008). Adaptation in homeless children: An empirical examination using cluster analyses. American Behavioral Scientist, 51, 737-755. doi: 10.1177/0002764207311985 |
[26] | Obradovic´, J., Long, J. D., Cutuli, J. J., Chan, C.-K., Hinz, E., Heistad, D., & Masten, A. S. (2009). Academic achievement of homeless and highly mobile children in an urban school district: Longitudinal evidence on risk, growth, and resilience. Development and Psychopathology, 21, 493-518. doi: 10.1017/S0954579409000273 |
[27] | Arnold, D. H., & Doctoroff, G. L. (2003). The early education of socioeconomically disadvantaged children. Annual Review of Psychology, 54, 517–545. doi: 10.1146/annurev.psych.54.111301.145442 |
[28] | Bryk, A. (2010). Organizing schools for improvement. Phi Delta Kappan, 91 (7), 23-30. |
[29] | Kuo, V. (2010). Transforming American high schools: Possibilities for the next phase of high school reform. Peabody Journal of Education, 85, 389-401. doi: 10.1080/0161956X.2010.491709 |
[30] | Weiss, C. C., Carolan, B. V., & Baker-Smith, E. C. (2010). Big school, small school: (Re) testing assumptions about high school size, school engagement, and mathematics achievement. Journal of Youth Adolescence, 39, 163-176. doi: 10.1007/s10964-009-9402-3 |
[31] | Lee, V. E., & Smith, J. B. (1997). High school size: Which works best and for whom? Educational Evaluation and Policy Analysis, 19, 205-227. doi: 10.3102/01623737019003205 |
[32] | Slate, J. R., & Jones, C. H. (2008). Secondary school size and gender differences in the state of Texas. Essays in Education, 23, 159-176. |
[33] | Rios, Y. J., Slate, J. R., Moore, G. W., & Martinez-Garcia, C. (2016). Dropout rate differences by high school size for Texas Hispanic students: A multiyear, statewide analysis. Progress in Education, Volume 39. Hauppauge, NY: Nova Publishers. |
[34] | National Center for Education Statistics. (2011). The nation's report card. Grade eight national results. Retrieved from http://nationsreportcard.gov/reading_2011/ nat_g8.asp? |
[35] | Werblow, J., & Duesbery, L. (2009). The impact of high school size on math achievement and dropout rate. The High School Journal, 92 (3), 14-23. doi: 10.1353/hsj.0.0022 |
[36] | Carolan, B. V. (2012). An examination of the relationship among high school size, social capital, and adolescents’ mathematics achievement. Journal of Research on Adolescence, 22, 583-595. |
[37] | Moore, R., Combs, J. P., & Slate, J. R. (2014a). Black student college readiness and high school size: A Texas, multiyear analysis. Journal of Global Research in Education and Social Science, 3 (2), 85-95 |
[38] | Moore, R., Combs, J. P., & Slate, J. R. (2014b). High school size and White student college readiness: A statewide, multiyear analysis. NCPEA Education Leadership Review of Doctoral Research, 1 (1), 142-156. Retrieved from http://www.ncpeapublications.org/volume-1-number-1.html |
[39] | Moore, R., Combs, J. P., & Slate, J. R. (2014c). High school size and Hispanic student college readiness: A Texas, multiyear analysis. In R. V. Nata (Ed.), Progress in Education, Volume 37 (pp. 73-92). Hauppauge, NY: Nova Publishers. |
[40] | Johnson, R. B., & Christensen, L. (2014). Educational research: Quantitative, qualitative, and mixed approaches (5th ed.). Los Angeles, CA: Sage. |
[41] | Texas Education Agency. (2015). Glossary for the Texas Academic Performance Report. Retrieved from https://rptsvr1.tea.texas.gov/perfreport/tapr/2015/glossary.pdf |
[42] | Onwuegbuzie, A. J., & Daniel, L. G. (2002). Uses and misuses of the correlation coefficient. Research in the Schools, 9 (1), 73-90. |
[43] | Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Hillsdale, NJ: Lawrence Erlbaum. |
[44] | Ambrose, A. R., Slate, J. R., & Moore, G. W. (2016). Differences in high school dropout rates by school size for students in poverty. International Research Journal for Quality in Education, 3 (3), 1-6. |