Project Proficiency: Assessing the Independent Effects of High School Reform in an Urban District

REFERENCES

• Aaronson, D., Barrow, L., & Sander, W. (2007). Teachers and student achievement in the Chicago public high schools. Journal of Labor Economics, 25, 95–135.
   Web of Science ®Google Scholar
• Abbott, S.E., & Fisher, P.D. (2011). Harnessing teacher knowledge. A guide to developing school-based systems for professional learning and planning. Retrieved from http://www.greatschoolspartnership.org/pdf/HTK_Tool_Print.pdf
   Google Scholar
• Aiken, W.M. (1942). The story of the eight year study. New York, NY: Harper.
   Google Scholar
• Allen, D., & Blythe, T. (2004). The facilitator's book of questions: Tools for looking together at student and teacher work. New York, NY: Teacher's College Press.
   Google Scholar
• Atherton, J.S. (2011). Teaching and learning: What works and what doesn’t. . Retrieved from http://www.learningandteaching.info/teaching/what_works.
   Google Scholar
• Austin, G.R. (1979). Exemplary schools and the search for effectiveness. Educational Leadership, 37, 10–12.
   Web of Science ®Google Scholar
• Ballou, D., Sanders, W., & Wright, P. (2004). Controlling for student background in value-added assessment of teachers. Journal of Educational and Behavioral Sciences, 29, 37–65.
   Google Scholar
• Berends, M., Bodilly, S., & Kirby, S.N. (2002). Looking back over a decade of whole-school reform: The experience of new American schools. Phi Delta Kappan, 84, 168–175.
   Web of Science ®Google Scholar
• Berends, M., & Peñdoza, R., (2010). Increasing racial isolation and test score gaps in mathematics: A 30-year perspective. Teachers College Record, 112, 978–1007.
   Web of Science ®Google Scholar
• Borman, G.D., & Dowling, N.M. (2008). Teacher attrition and retention: A meta-analytic and narrative review of the research. Review of Educational Research, 78, 367–409. . doi:10.3102/0034654308321455
   Web of Science ®Google Scholar
• Borman, G.D., & Dowling, N.M. (2010). Schools and inequality: A multilevel analysis of Coleman's equality of educational opportunity data. Teachers College Record, 112, 1201–1246.
   Web of Science ®Google Scholar
• Brown-Jeffy, S. (2009). School effects: Examining the race gap in mathematics achievement. Journal of African American Studies, 13, 388–405.
   Google Scholar
• Brophy, J. (1988). Research on teacher effects: Uses and abuses. The Elementary School Journal, 89, 3–21.
   Web of Science ®Google Scholar
• Brophy, J., & Good, T. (1986). Teacher behavior and student achievement. In M.C. Wittrock (Ed.), Handbook of research on teaching (. 3d ed., pp. 328–375). New York, NY: Macmillan.
   Google Scholar
• Bryk, A.S. (2009). Support a science of performance improvement. Phi Delta Kappan, 90, 597–600.
   Web of Science ®Google Scholar
• Bryk, A.S., Sebring, P.B., Allensworth, E., Luppescu, S., & Easton, J.Q. (2010). Organizing schools for improvement: Lessons from Chicago. Chicago, IL: University of Chicago Press.
   Google Scholar
• Childress, S., Elmore, R., Grossman, A., & Akinola, M. (2004). Note on the PELP coherence framework. . Retrieved from http://www.kasa.org/professionaldevelopment/documents/PELPFramework.pdf
   Google Scholar
• Coburn, C.E. (2003). Rethinking scale: Moving beyond numbers to deep and lasting change. Educational Researcher, 32, 3–12.
   Google Scholar
• Coleman, J.S., Campbell, E.Q., Hobson, C.J., McPartland, J., Mood, A.M., Weinfeld, F.D., & York, R.L. (1966). Equality of educational opportunity. Washington, DC: Government Printing Office.
   Google Scholar
• Crandall, D.P., Loucks-Horsley, S., Bauchner, J.E., Schmidt, W.B., Eiseman, J.W., & Cox, P.L. (1982). People, policies and practices: Examining the chain of school improvement (Vols. 1–10). Andover, MA: The Network.
   Google Scholar
• Creswell, J.W., & Plano-Clark, V.L. (2007). Designing and conducting mixed methods research. Thousand Oaks, CA: Sage.
   Google Scholar
• Darling-Hammond, L. (1997). Toward what end? The evaluation of student learning for the improvement of teaching. In J. Millman (Ed.), Grading teachers, grading schools. Is student achievement a valid evaluation measure? (pp. 248–263). Thousand Oaks, CA: Corwin Press.
   Google Scholar
• Darling-Hammond, L., & Youngs, P. (2002). Defining “highly qualified teachers”: What does “scientifically based research” actually tell us. Educational Researcher, 31(9), 13–25.
   Google Scholar
• Datnow, A. (2005). The sustainability of comprehensive school reform models in changing district and state contexts. Educational Administration Quarterly, 41, 121–153.
   Web of Science ®Google Scholar
• Datnow, A., Borman, G., Stringfield, S., Rachuba, L., & Castellano, M. (2003). Comprehensive school reform in culturally and linguistically diverse contexts: Implementation and outcomes from a four-year study. Educational Evaluation and Policy Analysis, 25, 143–170.
   Web of Science ®Google Scholar
• Datnow, A., & Stringfield, S. (2000). Working together for reliable school reform. Journal of Education for Students Placed at Risk, 5, 183–204.
   Google Scholar
• DuFour, R.P., DuFour, R.B., Eaker, R.E., & Karhanek, G. (2004). Whatever it takes: How professional learning communities respond when kids don't learn. Bloomington, IN: National Educational Service.
   Google Scholar
• DuFour, R., & Eaker, R.E. (1998). Professional learning communities at work: Best practices for enhancing student achievement. Bloomington, IN: National Education Service.
   Google Scholar
• Duke, D.L., & Jacobson, M. (2011). Tackling the toughest turnarounds: Low-performing high schools. Phi Delta Kappan, 92(5), 34–38.
   Web of Science ®Google Scholar
• Edmonds, R. (1979). Effective schools for the urban poor. Educational Leadership, 37, 15–18, 2024.
   Web of Science ®Google Scholar
• Fullan, M. (2000). The return of large-scale reform. Journal of Educational Change, 1, 5–28.
   Google Scholar
• Fullan, M. (2011). Choosing the wrong drivers for whole system reform . (Report 204). Victoria, Australia: Centre for Strategic Education.
   Google Scholar
• Fullan, M., Bertani, A., & Quinn, J. (2004). New lessons for districtwide reform: Effective lessons for change at the district level has 10 crucial components. Educational Leadership, 61(7), 42–46.
   Web of Science ®Google Scholar
• Goldhaber, D.D., & Brewer, D.J. (1997). Why don't schools and teachers seem to matter? Assessing the impact of unobservables on educational productivity. The Journal of Human Resources, 32, 505–523.
   Web of Science ®Google Scholar
• Guskey, T.R. (2002). Professional development and teacher change. Teachers and Teaching: Theory and Practice, 8, 381–391.
   Google Scholar
• Hanushek, E.A., Kain, J.F., & Rivkin, S.G. (2004). Why public schools lose teachers. Journal of Human Resources, 39, 326–354.
   Web of Science ®Google Scholar
• Hanushek, E.A., Kain, J.F., & Rivkin, S.G. (2009). New evidence about Brown v. Board of Education: The complex effects of school racial composition on achievement. Journal of Labor Economics, 27, 349–383.
   Web of Science ®Google Scholar
• Hattie, J. (2003, . October). Teachers make a difference: What is the research evidence? Paper presented at the Australian Council for Educational Research Annual Conference, Melbourne, Australia. . Retrieved from http://research.acer.edu.au/research_conference_2003/4
   Google Scholar
• Hattie, J. (2009). Visible learning: A synthesis of over 800 meta-analyses relating to achievement. New York, NY: Routledge.
   Google Scholar
• Hochbein, C.D., & Duke, D.L., (2011). Crossing the line: Examination of student demographic changes concomitant with declining academic performance in elementary schools. School Effectiveness and School Improvement, 22, 87–118.
   Web of Science ®Google Scholar
• Jefferson County Public Schools (JCPS). (2011). Project proficiency guide. . Unpublished manuscript
   Google Scholar
• Jencks, C. (1972). Inequality: A reassessment of the effect of family and schooling in America. New York, NY: Harper & Row.
   Google Scholar
• Kentucky Department of Education. (2008). Commonwealth accountability testing system: 2007–08 technical report. . Retrieved from http://www.education.ky.gov/kde/administrative+resources/testing+and+reporting+/kentucky+school+testing+system/accountability+system/technical+manual+2008.htm
   Google Scholar
• Kreft, I., & De Leeuw, J. (1998). Introducing multilevel modeling. London, UK: Sage.
   Google Scholar
• Lee, V.E., & Bryk, A.S. (1989). A multilevel model of the social distribution of high school achievement. Sociology of Education, 62, 172–192.
   Web of Science ®Google Scholar
• Marzano, R.J., Pickering, D.J., & Pollock, J.E. (2001). Classroom instruction that works: Research-based strategies for every teacher. Alexandria, VA: ASCD.
   Google Scholar
• McDonald, J.P., Mohr, N., Dichter, A., & McDonald, E.C. (2007). The power of protocols: An educator's guide to better practice . (2nd ed.). New York, NY: Teacher's College Press.
   Google Scholar
• McLaughlin, M.W. (1990). The RAND change agent study revisited: Macro perspectives and micro realities. Educational Researcher, 19(9), 11–16.
   Google Scholar
• Mickelson, R.A. (2010). Goals, grades, fears, and peers. Introductory essay for special issues on the effects of school and classroom racial and SES composition on educational outcomes. Teachers College Record, 112, 961–977.
   Web of Science ®Google Scholar
• Minimum Requirement for High School Graduation, 704 KY Ann. Rev. Stat 3:305 (2011).
   Google Scholar
• Muñoz, M.A., & Chang, F.C. (2007). The elusive relationship between teacher characteristics and student academic growth: A longitudinal multilevel model for change. Journal for Personnel Evaluation in Education, 20, 147–164.
   Google Scholar
• Muñoz, M.A., Guskey, T.R., & Aberli, J.R. (2009). Struggling readers in urban high schools: Evaluating the impact of professional development in literacy. Planning and Changing, 40, 61–85.
   Google Scholar
• Odden, A., Borman, G., & Fermanich, M. (2004). Assessing teacher, classroom, and school effects, including fiscal effects. Peabody Journal of Education, 79(4), 4–32.
   Google Scholar
• O’Donnell, C.L. (2008). Defining, conceptualizing, and measuring fidelity of implementation and its relationship to outcomes in K-12 curriculum intervention research. Review of Educational Research, 78, 33–84.
   Web of Science ®Google Scholar
• Oxley, D., & Luers, K.W. (2011). How small schools grew up and got serious (but did not lose their spunk). Phi Delta Kappan, 92(4), 62–66.
   Web of Science ®Google Scholar
• Palardy, G.J. (2008). Differential school effects among low, middle, and high social class composition schools: A multiple group, multilevel latent growth curve analysis. School Effectiveness and School Improvement, 19, 21–49.
   Web of Science ®Google Scholar
• Payne, C.M. (2008). So much reform, so little change: The persistence of failure in urban schools. Cambridge, MA: Harvard Education Press.
   Google Scholar
• Perry, L.B., & McConney, A. (2010). Does SES of the school matter? An examination of socioeconomic status and student achievement using PISA 2003. Teachers College Record, 112, 1137–1162.
   Web of Science ®Google Scholar
• Persistently Low-Achieving School and School Intervention Defined, KY Rev. Stat. §160.346 (2010).
   Google Scholar
• Popham, J. (1997). The moth and the flame: Student learning as a criterion of instructional competence. In J. Millman (Ed.), Grading teachers, grading schools. Is student achievement a valid education measure? (pp. 264–264). Thousand Oaks, CA: Corwin Press.
   Google Scholar
• Raudenbush, S.W. (2004). Schooling, statistics, and poverty: Can we measure school improvement? Princeton, NJ: Educational Testing Service.
   Google Scholar
• Raudenbush, S.W., & Bryk, A.S. (1986). A hierarchical model for studying school effects. Sociology of Education, 59, 1–17.
   Web of Science ®Google Scholar
• Raudenbush, S.W., & Bryk, A.S. (2002). Hierarchical linear models: Applications and data analysis methods . (2nd ed.). Thousand Oaks, CA: Sage.
   Google Scholar
• Raudenbush, S.W., Bryk, A.S., & Congdon, R. (2011). HLM 7 for Windows . [Computer software]. Lincolnwood, IL: Scientific Software International.
   Google Scholar
• Raudenbush, S.W., & Willms, J.D. (1995). The estimation of school effects. Journal of Educational and Behavioral Sciences, 20, 307–355.
   Google Scholar
• Rivkin, S.G., Hanushek, E.A., & Kain, J.F. (2005). Teachers, schools, and academic achievement. Econometrica, 73, 417–458.
   Web of Science ®Google Scholar
• Rorrer, A.K., Skrla, L., & Schuerich, J.J. (2008). Districts as institutional actors in educational reform. Educational Research Quarterly, 44, 307–358.
   Google Scholar
• Rumberger, R.W., & Palardy, G.J. (2005). Does segregation still matter? The impact of student composition on academic achievement in high school. Teachers College Record, 107, 1999–2045.
   Web of Science ®Google Scholar
• Rossi, P.H., Lipsey, M.W., & Freeman, H.E. (2004). Evaluation: A systematic approach . (7th ed.). Thousand Oaks, CA: Corwin Press.
   Google Scholar
• Sammons, P. (2007). School effectiveness and equity: Making connections: A review of school effectiveness and improvement research – its implications for practitioners and policy makers. Berkshire, England: CfBT Education Trust.
   Google Scholar
• Sanders, M.G. (2012). Achieving scale at the district level: A longitudinal multiple case study of a partnership reform. Educational Administration Quarterly, 48, 154–186.
   Web of Science ®Google Scholar
• School Improvement Fund. (2010). School Improvement Grants; American Recovery and Reinvestment Act of 2009 (ARRA); Title I of the Elementary and Secondary Education Act of 1965, as Amended (ESEA). Retrieved from http://www2.ed.gov/programs/sif/legislation.html.
   Google Scholar
• Shadish, W.R., Cook, T.D., & Campbell, D.T. (2002). Experimental and quasi-experimental designs for generalized causal inference. Boston, MA: Houghton-Mifflin.
   Google Scholar
• Slavin, R.E., Madden, N.A., Dolan, L.J., Wasik, B.A., Ross, S., Smith, L., & Dianda, M. (1996). Success for all: A summary of research. Journal of Education for Students Placed at Risk, 1(4), 41–76.
   Google Scholar
• Smith, M.S., & O’Day, J. (1991). Systemic school reform. In S.H. Fuhrman & B. Malen (Eds.), The politics of curriculum and testing: The 1990 yearbook of the Politics of Education Association (pp. 233–267). Bristol, PA: Falmer.
   Google Scholar
• Smith, T., & Ingersoll, R. (2004). Reducing teacher turnover: What are the components of effective induction? American Educational Research Journal, 41, 687–714.
   Web of Science ®Google Scholar
• Snijders, T.A. B., & Bosker, R.J. (1999). Multilevel analysis: An introduction to basic and advanced multilevel modeling . (2nd ed.). Thousand Oaks, CA: Sage.
   Google Scholar
• Stiggins, R.J. (2007). Assessment through the student's eyes. Educational Leadership, 64(8), 22–26.
   Web of Science ®Google Scholar
• Stiggins, R.J., Arter, J.A., Chappuis, J., & Chappuis, S. (2004). Classroom assessment for student learning: Doing it right—using it well. Portland, OR: Assessment Training Institute.
   Google Scholar
• Stringfield, S., & Datnow, A. (1998). Scaling up school restructuring designs in urban schools. Education and Urban Society, 30, 269–276.
   Web of Science ®Google Scholar
• Stringfield, S., Reynolds, D., & Schaffer, E.C. (2008). Improving secondary students’ academic achievement through a focus on reform reliability: 4- and 9-year findings from the high reliability schools project. School Effectiveness and School Improvement, 19, 409–428.
   Web of Science ®Google Scholar
• Stronge, J.H. (2010). Effective teachers = student achievement: What the research says. Larchmont, NY: Eye on Education.
   Google Scholar
• Supovitz, J.A., & Weinbaum, E.H. (Eds.). (2008). The Implementation Gap: Understanding reform in high schools. New York, NY: Teachers College Press.
   Google Scholar
• Tashakkori, A., & Teddlie, C. (2003). Handbook of mixed methods in social and behavioral research. Thousand Oaks, CA: Sage.
   Google Scholar
• Teddlie, C., & Reynolds, D. (2000). The international handbook of school effectiveness research. London, UK: Falmer Press.
   Google Scholar
• Teddlie, C., Stringfield, S., Wimpleberg, R., & Kirby, P. (1987, . April). Contextual differences in effective schooling in Louisiana. Paper presented at the Annual Meeting of the American Educational Research Association, Washington, DC. . Retrieved from ERIC database. (ED 286272)
   Google Scholar
• Tewke, C.D., Carter, R.L., Chang-Xing, M., Algina, J., Lucas, M.E., Roth, J.,... Resnick, M.B. (2004). An empirical comparison of statistical models for value-added assessment of school performance. Journal of Educational and Behavioral Statistics, 29, 11–35.
   Web of Science ®Google Scholar
• Trochim, W.M., & Donnelly, J.P. (2008). The research methods knowledge base . (3rd ed.). Mason, OH: Atomic Dog.
   Google Scholar
• Tucker, M. (2011). Standing on the shoulders of giants: An American agenda for educational reform. Washington, DC: National Center on Education and the Economy.
   Google Scholar
• Tyack, D.B., & Cuban, L. (1995). Tinkering toward utopia: A century of public school reform. Cambridge, MA: Harvard University Press.
   Google Scholar
• Xiang, Y., & Hauser, C. (2010). School conditional growth models: How to make an “apples to apples” comparison possible? Portland, OR: Northwest Evaluation Association.
   Google Scholar