The Bird's Eye View of Community Colleges: A Behavioral Typology of First-Time Students Based on Cluster Analytic Classification

Research in Higher Education

Volumn 51, Issue 8, 2010, Pages 724-749

  Bahr, Peter Riley ^a  

^a UNIVERSITY OF MICHIGAN   (United States)

Author keywords

Classification; Cluster analysis; Community college; Experimental; Exploratory; Noncredit; Persistence; Retention; Student; Taxonomy; Transfer; Typology; Vocational

Indexed keywords

EID: 78049443102     PISSN: 03610365     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11162-010-9180-5     Document Type: Article

References (77)

1. Adelman, C. (2005a). Moving into town-and moving on: The community college in the lives of traditional-age students. Washington, DC: U. S. Department of Education.
2. Adelman, C. (2005b). Educational 'anticipations' of traditional age community college students: A prolegomena of any future accountability indicators. Journal of Applied Research in the Community College, 12, 93-107.
3. Ammon, B. V., Bowman, J., & Mourad, R. (2008). Who are our students?: Cluster analysis as a tool for understanding community college student populations. Journal of Applied Research in the Community College, 16, 32-44.
4. Astin, A. W. (1993). An empirical typology of college students. Journal of College Student Development, 34, 36-46.
5. Attinasi, L. C., Stahl, V. V., & Okun, M. A. (1982). A preliminary typology of motivational orientations of community college students. Community/Junior College Quarterly, 6, 371-390.
6. Bahr, P. R. (2007). Double jeopardy: Testing the effects of multiple basic skill deficiencies on successful remediation. Research in Higher Education, 48, 695-725.
7. Bahr, P. R. (2008). Does mathematics remediation work?: A comparative analysis of academic attainment among community college students. Research in Higher Education, 49, 420-450.
8. Bahr, P. R. (2009a). Educational attainment as process: Using hierarchical discrete-time event history analysis to model rate of progress. Research in Higher Education, 50, 691-714.
9. Bahr, P. R. (2009b). Classifying California's community college students: A technical report. Sacramento, CA: Chancellor's Office of the California Community Colleges.
10. Bahr, P. R. (2009c). College hopping: Exploring the occurrence, frequency, and consequences of lateral transfer. Community College Review, 36, 271-298.
11. Bahr, P. R. (2010a). Revisiting the efficacy of postsecondary remediation: The moderating effects of depth/breadth of deficiency. Review of Higher Education, 33, 177-205.
12. Bahr, P. R. (2010b). Making sense of disparities in mathematics remediation: What is the role of student retention? Journal of College Student Retention, 12, 25-49.
13. Bahr, P. R. (2010c). Preparing the underprepared. An analysis of racial disparities in postsecondary mathematics remediation. Journal of Higher Education, 81, 209-237.
14. Bahr, P. R., Hom, W., & Perry, P. (2004). Student readiness for postsecondary coursework: Developing a college-leave measure of student average academic preparation. Journal of Applied Research in the Community College, 12, 7-16.
15. Bahr, P. R., Hom, W., & Perry, P. (2005). College transfer performance: A methodology for equitable measurement and comparison. Journal of Applied Research in the Community College, 13, 73-87.
16. Bailey, T. R., & Averianova, I. E. (1998). Multiple missions of community colleges: Conflicting or complementary? New York: Community College Research Center. ERIC Document Reproduction Service No. ED439762.
17. Borden, V. M. H. (1995). Segmenting student markets with a student satisfaction and priorities survey. Research in Higher Education, 36, 73-88.
18. Borden, V. M. H. (2005). Identifying and analyzing group differences. In M. A. Coughlin (Ed.), Intermediate/advanced statistics in institutional research (pp. 132-168). Tallahassee, FL: Association for Institutional Research.
19. Boughan, K. (2000). The role of academic process in student achievement: An application of structural equation modeling and cluster analysis to community college longitudinal data. AIR Professional File, 74, 1-18.
20. Bradburn, E. M., & Hurst, D. G. (2001). Community college transfer rates to 4-year institutions using alternative definitions of transfer (NCES 2001-197). Washington, DC: National Center for Education Statistics.
21. Capps, R. (n. d.). Adult learners' persistence at a community college. Paper presented November 7, 2009, at the annual meeting of the association for the study of higher education, Vancouver, BC, Canada.
22. Chancellor's Office of the California Community Colleges. (2004). Taxonomy of programs (6th ed.). Sacramento, CA: California Community Colleges, Chancellor's Office.
23. Cohen, A. M., Brawer, F. B., & Lombardi, J. R. (2008). The American community college student. San Francisco, CA: Jossey-Bass.
24. Cormack, R. M. (1971). A review of classification. Journal of the Royal Statistical Society, Series A, 134, 321-367.
25. Darwin, C. (1859). On the origin of species by means of natural selection. London: John Murray.
26. Deil-Amen, R., & Rosenbaum, J. E. (2004). Charter building and labor market outcomes in two-year colleges. Sociology of Education, 77, 245-265.
27. Dellow, D. A., & Romano, R. M. (2002). Measuring outcomes: Is the first-time, full-time cohort appropriate for the community college? Community College Review, 30, 42-54.
28. Despite budget woes, Arizona colleges reject tuition hike. (2009). Community College Week, 21(17), 3-4.
29. Dougherty, K. J., & Hong, E. (2006). Performance accountability as imperfect panacea: The community college experience. In T. Bailey & V. S. Morest (Eds.), Defending the community college equity agenda (pp. 51-86). Baltimore: John Hopkins University Press.
30. Dowd, A. C. (2003). From access to outcome equity: Revitalizing the democratic mission of the community college. Annals of the American Academic of Political and Social Science, 586, 92-119.
31. Dowd, A. C., & Tong, V. P. (2007). Accountability, assessment, and the scholarship of "best practice". In J. C. Smart (Ed.), Higher education: Handbook of theory and research (Vol. XXII, pp. 57-119). New York: Springer.
32. Firebaugh, G. (2008). Seven rules of social research. Princeton, NJ: Princeton University Press.
33. Fisher, M. (2009). Calif Budget cuts battering 2-year colleges. Community College Week, 21(10), 5.
34. Gillmore, G. M., & Hoffman, P. H. (1997). The graduate efficiency index: Validity and use as an accountability and research measure. Research in Higher Education, 38, 677-697.
35. Goldrick-Rab, S. (2009, May 15). American must put community colleges first. Chronicle of Higher Education, 55(36), A99. Retrieved May 29, 2009, from http://chronicle. com/weekly/v55/i36/36a09901. htm.
36. Gottfredson, D. M. (1987). Prediction and classification in criminal justice decision-making. Crime and Justice, 9, 1-20.
37. Hagedorn, L. S., & Kress, A. M. (2008). Using transcripts in analyses: Directions and opportunities. New Directions for Community Colleges, 143, 7-17.
38. Hagedorn, L. S., & Prather, G. (2005). The community college solar system: If university students are from Venus community college students must be from Mars. Paper presented at the 2005 Annual Forum of the Association for Institutional Research, San Diego, California.
39. Hewitt, J. P. (2007). Self and society: A symbolic interactionist social psychology. Boston, MA: Allyn and Bacon.
40. Hogg, M. A., Terry, D. J., & White, K. M. (1995). A tale of two theories: A critical comparison of identity theory with social identity theory. Social Psychology Quarterly, 58, 255-269.
41. Hom, W. C. (2009). The denominator as the 'target'. Community College Review, 37, 136-152.
42. Horn, L. (2009). On track to complete? A taxonomy of beginning community college students and their outcomes 3 years after enrolling: 2003-04 through 2006 (NCES 2009-152). Washington, DC.: National Center for Education Statistics, Institute of Education Sciences, U. S. Department of Education.
43. Inkelas, K. K., Soldner, M., Longerbeam, S. D., & Leonard, J. B. (2008). Differences in student outcomes by types of living-learning programs: The development of an empirical typology. Research in Higher Education, 49, 495-512.
44. Iowa Senate approves cuts in higher education. (2009). Community College Week, 21(18), 10.
45. Kane, T. J., & Rouse, C. E. (1999). The community college: Educating students at the margin between college and work. Journal of Economic Perspectives, 13, 63-84.
46. Keller, J. (2009a, May 21). California community colleges may reduce enrollment by 250, 000 students. Chronicle of Higher Education. Retrieved May 29, 2009, from http://chronicle. com/daily/2009/05/18511n. htm.
47. Keller, J. (2009b, June 17). Fees could rise by 30% at California community colleges. Chronicle of Higher Education. Retrieved June 17, 2009, from http://chronicle. com/news/article/6650/fees-could-rise-by-30-at-california-community-coll eges.
48. Kuh, G. D., Hu, S., & Vesper, N. (2000). 'They shall be known by what they do': An activities-based typology of college students. Journal of College Student Development, 41, 228-244.
49. Layzell, D. T. (1999). Linking performance to funding outcomes at the state level for public institutions of higher education: Past, present, and future. Research in Higher Education, 40, 233-246.
50. Luan, J., Zhao, C., & Hayek, J. (2004). Exploring a new frontier in higher education research: A case study analysis of using data mining techniques to create NSSE institutional typology. Paper presented at the annual meeting of the California Association for Institutional Research, Anaheim, California.
51. Manski, C. F. (1989). Schooling as experimentation: A reappraisal of the postsecondary dropout phenomenon. Economics of Education Review, 8, 305-312.
52. Margrain, S. A. (1978). Student characteristics and academic performance in higher education: A review. Research in Higher Education, 8, 111-123.
53. Mauss, A. L. (1967). Toward an empirical typology of junior college student subcultures. Paper presented at the annual meeting of the Pacific Sociological Association, Long Beach, CA. ERIC Document Reproduction Service No. ED013076.
54. New budget submitted by Oregon Governor leaves state's community colleges feeling shortchanged. (2009, January 26). Community College Week, 21(11), 8-9.
55. Perez, R. G. (2009). California budget battle underscores need to support community colleges. Community College Week, 21(16), 4.
56. Peseau, B. A., & Tudor, R. L. (1988). Exploring and testing cluster analysis. Research in Higher Education, 29, 60-78.
57. Planty, M., Hussar, W., Snyder, T., Kena, G., KewalRamani, A., Kemp, J., et al. (2009). The condition of education 2009 (NCES 2009-081). Washington, DC: National Center for Education Statistics.
58. Rapkin, B. D., & Luke, D. A. (1993). Cluster analysis in community research: Epistemology and practice. American Journal of Community Psychology, 21, 247-277.
59. Ritzer, G. (1996). Classical sociological theory. New York: McGraw-Hill.
60. Rosenbaum, J. E. (2001). Beyond college for all: Career paths for the forgotten half. New York: Sage.
61. Santibanez, L., Gonzalez, G., Morrison, P. A., & Carroll, S. J. (2007). Methods for gauging the target populations that community college serve. Population Research and Policy Review, 26, 51-67.
62. Schoenecker, C., & Reeves, R. (2008). The National Student Clearinghouse: The largest current student tracking database. New Directions for Community Colleges, 143, 47-57.
63. Schuck, P. H., & Zeckhauser, R. J. (2006). Targeting in social programs: Avoiding bad bets, removing bad apples. Washington, DC: Brookings Institution.
64. Sengupta, R., & Jepsen, C. (2006). California's community college students. California Counts: Population Trends and Profiles, 8, 1-23.
65. Shaw, K. M., & Jacobs, J. A. (2003). Community colleges: New environments, new directions. Annals of the American Academic of Political and Social Science, 586, 6-15.
66. Shulock, N., & Moore, C. (2007). Rules of the game: How state policy creates barriers to degree completion and impedes student success in the California community colleges. Sacramento, CA: Institute for Higher Education Leadership and Policy.
67. Skinner, H. A. (1981). Toward the integration of classification theory and methods. Journal of Abnormal Psychology, 90, 68-87.
68. StataCorp. (2007). Stata multivariate statistics reference manual, release 10. College Station, TX: StataCorp LP.
69. Stets, J. E., & Burke, P. J. (2000). Identity theory and social identity theory. Social Psychology Quarterly, 63, 224-237.
70. Townsend, B. K. (2002). Transfer rates: A problematic criterion for measuring the community college. New Directions for Community Colleges, 117, 13-23.
71. VanDerLinden, K. (2002). Credit student analysis: 1999 and 2000. Annapolis Junction, MD: Community College Press, American Association of Community Colleges.
72. van Ommeren, A., & Fong-Batkin, L. (2006, November 2). An evaluation of unreported SSNs and implications for policy. Paper presented at the annual meeting of the California Association for Institutional Research, Pasadena, California.
73. Voorhees, R. A., & Zhou, D. (2000). Intentions and goals at the community college: Associating student perceptions and demographics. Community College Journal of Research and Practice, 24, 219-232.
74. Wash. Gov. proposes tuition increases to offset budget cuts. (2009, May 4). Community College Week, 21(18), 9.
75. Wassmer, R., Moore, C., & Shulock, N. (2004). Effect of racial/ethnic composition on transfer rates in community colleges: Implications for policy and practice. Research in Higher Education, 45, 651-672.
76. Xu, J. (2008). Using the IPEDS peer analysis system in peer group selection. AIR Professional File, 110, 1-13.
77. Ziberna, A., & Zabkar, V. (2003). Application of end-users market segmentation using statistical methods. In A. Ferligoj & A. Mrvar (Eds.), Developments in applied statistics (pp. 243-263). Ljubljana, Slovenia: University of Ljubljana.