For Colored Girls? Factors that Influence Teacher Recommendations into Advanced Courses for Black Girls

Review of Black Political Economy

Volumn 39, Issue 4, 2012, Pages 389-402

  Campbell, Shanyce L ^a  

^a UNIVERSITY OF NORTH CAROLINA   (United States)

Author keywords

Advanced courses; Black girls; Course taking; Mathematics; Teacher recommendations; Tracking

Indexed keywords

EID: 84871479578     PISSN: 00346446     EISSN: None     Source Type: Journal    
DOI: 10.1007/s12114-012-9139-1     Document Type: Article

References (47)

1. Attewell P, Domina T. Raising the bar: curricular intensity and academic performance. Educ Eval Policy Anal. 2008; 30(1): 51-71.
2. Buchmann C, DiPrete TA, McDaniel A. Gender inequalities in education. Annu Rev Sociol. 2008; 34(1): 319-37.
3. Burris CC, Heubert JP, Levin HM. Accelerating mathematics achievement using heterogeneous grouping. Am Educ Res J. 2006; 43(1): 137-54.
4. Catsambis S. The path to math: gender and racial-ethnic differences in mathematics participation from middle school to high school. Sociol Educ. 1994; 67(3): 199-215.
5. Choy SP, Horn LJ, Nunez A, Chen X. Transition to college: what helps at-risk students and students whose parents did not attend college. New Dir Institut Res. 2000; 2000(107): 4.
6. Cicourel AV, Kitsuse JI. The educational decision-makers. Indianapolis: Bobbs-Merrill; 1963.
7. Cotton K. School size, school climate, and student performance. Portland: Northwest Regional Education Laboratory; 1996.
8. Cotton K. New small learning communities findings from recent literature. [Portland OR] [Washington DC]: Northwest Regional Educational Laboratory. U. S. Dept. of Education Office of Educational Research and Improvement Educational Resources Information Center; 2001.
9. Darity W, Castellino D, Tyson K, Cobb C, McMillen B. Increasing opportunity to learn via access to rigorous courses and programs: One strategy for closing the achievement gap for at-risk and ethnic students. North Carolina Department of Public Instruction; 2001.
10. Diette T. Equal Resources? Access to Algebra Across Schools; 2012.
11. Ferguson RF. Teachers' perceptions and expectations and the Black-White test score gap. Urban Educ. 2003; 38(4): 460-507.
12. Francis D. Sugar and spice and everything nice?: Teacher perceptions of Black Girls in the Classroom; 2012.
13. Gamoran A. Is ability grouping equitable? Educ Leadersh. 1992; 50(2): 11.
14. Geiser S, Santelices V. The role of Advanced Placement and honors courses in college admissions. Center for Studies on Higher Education, Research and Occasional Paper Series, CSHE. 4. 04; 2004.
15. Griffin D, Farris AD. School counselors and collaboration: finding resources through community asset mapping. Prof Sch Couns. 2010; 13(5): 248-56.
16. Hallinan MT. Tracking: from theory to practice. Exchange. Sociol Educ. 1994; 67(2): 79-84.
17. Hanushek EA. Educational production functions. Palgrave Encyclopedia, 2007.
18. Howley C. The academic effectiveness of small-scale schooling. Charleston, WV: ERIC Clearinghouse on Rural Education and Small Schools. (ERIC Document Reproduction Service No. ED 372 897); 1994.
19. Hyde JS, Lindberg SM, Linn MC, Ellis AB, Williams CC. Gender similarities characterize math performance. Science. 2008; 321: 494-5.
20. Klopfenstein K. The link between advanced placement experience and early college success. South Econ J. 2009; 75(3): 873.
21. Lim JJH. Double jeopardy: the compounding effects of class and race in school mathematics. Equity Excell Educ. 2008; 41(1): 81-97.
22. Mau W, Bikos LH. Educational and vocational aspirations of minority and female students: a longitudinal study. J Couns Dev. 2000; 78(2): 186.
23. McKnight P, McKnight K, Sidani S, Figueredo A. Missing data: A gentle introduction. New York: The Guilford Press; 2007.
24. Mickelson RA. Subverting Swann: first- and second-generation segregation in the Charlotte-Mecklenburg schools. Am Educ Res J. 2001; 38(2): 215-52.
25. National Science Foundation, Division of Science Resources Statistics. 2011. Women, Minorities, and Persons with Disabilities in Science and Engineering: 2011. Special Report NSF 11-309. Arlington, VA. Available at http://www. nsf. gov/statistics/wmpd/.
26. Oakes J. Opportunities, achievement, and choice: women and students in science and mathematics. Rev Res Educ. 1990; 16: 153-222.
27. Oakes J. Keeping track: How schools structure inequality. 2nd ed. New Haven: Yale University Press; 2005.
28. Ogbu JU. Black American students in an affluent suburb: A study of academic disengagement. Mahwah: L. Erlbaum Associates; 2003.
29. Raywid MA. Current literature on small schools (ERIC Digest). Charleston: ERIC Clearinghouse on Rural Education and Small Schools; 1999.
30. Riehl C, Pallas AM. Rites and wrongs: institutional explanations for the student course-scheduling process in urban school. Am J Educ. 1999; 107(2): 116.
31. Rose RA, Fraser MW. A simplified framework for using multiple imputation in social work research. Soc Work Res. 2008; 32(3): 171-8.
32. Rubin BC. Unpacking detracking: when progressive pedagogy meets students' social worlds. Am Educ Res J. 2003; 40(2): 539-73.
33. Schafer JL, Graham JW. Missing data: our view of the state of the art. Psychol Methods. 2002; 7(2): 147-77.
34. Sharpe RV, Swinton O. Beyond antidotes: A quantitative examination of black women in academe; 2012.
35. Tenenbaum HR, Ruck MD. Are teachers' expectations different for racial than for European American students? A meta-analysis. J Educ Psychol. 2007; 99(2): 253-73.
36. Tocci CM, Engelhard Jr G. Achievement, parental support, and gender differences in attitudes toward mathematics. J Educ Res. 1991; 84(5): 280-6.
37. Tyson K. Integration interrupted: Tracking, Black students, and acting white after Brown. New York: Oxford University Press; 2011.
38. Useem EL. Getting on the fast track in mathematics: school organizational influences on math track assignment. Am J Educ. 1992; 100(3): 325.
39. U. S. Census Bureau, Current Population Survey. Enrollment status of the population 3 years old and over, by sex, age, race, Hispanic origin, Foreign born, and Foreign-born parentage; 2010.
40. U. S. Department of Education, National Center for Education Statistics. (2008). Quickstats [Chart showing major field of study with a focus on STEM fields by Gender and Race/ethnicity]. NPSAS: 2008 Undergraduate Students. Retrieved from http://nces.ed.gov/datalab/quickstats/createtable.aspx.
41. von Hipple P. Regression with missing y's: an improved strategy for analyzing multiple imputed data. Sociol Methodol.; 2007: 37.
42. Watanabe M. Tracking in the era of high stakes state accountability reform: case studies of classroom instruction in North Carolina. Teach Coll Rec. 2008; 110(3): 489-534.
43. Wayman J. Multiple imputation for missing data: What it is and how can I use it? Paper presented at the Annual Meeting of the American Educational Research Association, Chicago, IL; 2003, April.
44. Welner K, Burris CC. Alternative approaches to the politics of detracking. Theor Pract. 2006; 45(1): 90-9.
45. Yonezawa S. Unpacking the black box of tracking decisions: critical tales of families navigating the course of placement process. In: Sanders MG, editor. Schooling students placed at risk: research, policy, practice in the education of poor and minority adolescents. Mahwah, NJ: Erlbaum; 2000; p. 109-140.
46. Yonezawa SS, Jones M. Students perspectives on tracking and detracking. Theor Pract. 2006; 45(1): 15-23.
47. Yonezawa S, Wells AS, Serna I. Choosing tracks: freedom of choice in detracking schools. Am Educ Res J. 2002; 39(1): 37-67.