The use of cluster analysis in typological research on community college students
dc.contributor.author | Hu, Shouping | en_US |
dc.contributor.author | Li, Shaoqing | en_US |
dc.date.accessioned | 2012-01-05T22:05:35Z | |
dc.date.available | 2013-02-01T20:26:12Z | en_US |
dc.date.issued | 2011-12 | en_US |
dc.identifier.citation | Hu, Shouping; Li, Shaoqing (2011). "The use of cluster analysis in typological research on community college students." New Directions for Institutional Research 2011(S1): 67-81. <http://hdl.handle.net/2027.42/89487> | en_US |
dc.identifier.issn | 0271-0579 | en_US |
dc.identifier.issn | 1536-075X | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/89487 | |
dc.description.abstract | This chapter provides an introduction to the family of partitional cluster analytical methods, with specific attention to research on community college students. Key decision points and common approaches in the use of cluster analysis are described. | en_US |
dc.publisher | Wiley Subscription Services, Inc., A Wiley Company | en_US |
dc.title | The use of cluster analysis in typological research on community college students | en_US |
dc.type | Article | en_US |
dc.rights.robots | IndexNoFollow | en_US |
dc.subject.hlbsecondlevel | Education | en_US |
dc.subject.hlbtoplevel | Social Sciences | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | University of Michigan's School of Education | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/89487/1/417_ftp.pdf | |
dc.identifier.doi | 10.1002/ir.417 | en_US |
dc.identifier.source | New Directions for Institutional Research | en_US |
dc.identifier.citedreference | Ammon, B. V., Bowman, J., and Mourad, R. “ Who Are Our Students? Cluster Analysis as a Tool for Understanding Community College Student Populations.” Journal of Applied Research in the Community College, 2008, 16, 32 – 44. | en_US |
dc.identifier.citedreference | Angrist, J. D., and Pischke, J. S. Mostly Harmless Econometrics: An Empiricist's Companion. Princeton, N.J.: Princeton University Press, 2009. | en_US |
dc.identifier.citedreference | Bahr, P. R. “ The Bird's Eye View of Community Colleges: A Behavioral Typology of First‐Time Students Based on Cluster Analytic Classification.” Research in Higher Education, 2010, 51, 724 – 749. | en_US |
dc.identifier.citedreference | Bahr, P. R. Classifying Community Colleges Based on Students' Patterns of Usage. Ann Arbor: Center for the Study of Higher and Postsecondary Education, University of Michigan, 2011. | en_US |
dc.identifier.citedreference | Beale, E.M.L. “ Note on Procedures for Variable Selection in Multiple Regression.” Technometrics, 1970, 12, 909 – 914. | en_US |
dc.identifier.citedreference | Borden, V.M.H. “ Segmenting Student Markets with a Student Satisfaction and Priorities Survey.” Research in Higher Education, 1995, 36, 73 – 88. | en_US |
dc.identifier.citedreference | Borden, V.M.H. “ Identifying and Analyzing Group Differences.” In M. A. Coughlin (ed.), Intermediate/Advanced Statistics in Institutional Research (pp. 132 – 168 ). Tallahassee, Fla.: Association for Institutional Research, 2005. | en_US |
dc.identifier.citedreference | Boughan, K. “ The Role of Academic Process in Student Achievement: An Application of Structural Equations Modeling and Cluster Analysis to Community College Longitudinal Data.” AIR Professional File, 2000, 74, 1 – 18. | en_US |
dc.identifier.citedreference | Cormack, R. M. “ A Review of Classification.” Journal of the Royal Statistical Society, Series A, 1971, 134, 321 – 367. | en_US |
dc.identifier.citedreference | Everitt, B., Landau, S., Leese, M., and Stahl, D. Cluster Analysis ( 5th ed. ). Hoboken, N.J.: Wiley, 2011. | en_US |
dc.identifier.citedreference | Ewell, P., and Boeke, M. Critical Connections: Linking States' Unit Record Systems to Track Student Progress. Indianapolis, Ind.: Lumina Foundation for Education, 2007. Retrieved Feb. 1, 2011, from http://www.luminafoundation.org/publications/Critical_Connections_Web.pdf. | en_US |
dc.identifier.citedreference | Ewell, P., and Jenkins, D. “ Using State Student Unit Record Data to Increase Community College Student Success.” In T. H. Bers (ed.), Student Tracking in the Community College. New Directions for Community Colleges, no. 143. San Francisco: Jossey‐Bass, 2008. | en_US |
dc.identifier.citedreference | Falkenauer, E., and Marchand, A. “ Using K‐Means? Consider ArrayMiner.” Paper presented at the 2001 International Conference on Mathematics and Engineering Techniques in Medicine and Biological Sciences, Las Vegas, 2001. | en_US |
dc.identifier.citedreference | Fowlkes, E. B., Gnanadesikan, R., and Kettenring, J. R. “ Variable Selection in Clustering.” Journal of Classification, 1988, 5, 205 – 228. | en_US |
dc.identifier.citedreference | Fox, J. Applied Regression Analysis and Generalized Linear Models. Thousand Oaks, Calif.: Sage, 2008. | en_US |
dc.identifier.citedreference | Gnanadesikan, R., Kettenring, J. R., and Tsao, S. L. “ Weighting and Selection of Variables for Cluster Analysis.” Journal of Classification, 1995, 12, 113 – 136. | en_US |
dc.identifier.citedreference | Gower, J. C. “ A General Coefficient of Similarity and Some of its Properties.” Biometrics, 1971, 27, 857 – 872. | en_US |
dc.identifier.citedreference | Gower, J. C. “ Measures of Similarity, Dissimilarity, and Distance.” In S. Kotz, N. L. Johnson, and C. B. Read (eds.), Encyclopedia of Statistical Sciences (Vol. 5, pp. 397 – 405 ). Hoboken, N.J.: Wiley, 1985. | en_US |
dc.identifier.citedreference | Gower, J. C., and Legendre, P. “ Metric and Euclidean Properties of Dissimilarity Coefficients.” Journal of Classification, 1986, 5, 5 – 48. | en_US |
dc.identifier.citedreference | Hagedorn, L. S., and Prather, G. “ 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, 2005. | en_US |
dc.identifier.citedreference | Hautamäki, V., and others. “ Improving K ‐Means by Outlier Removal.” Image Analysis, 2005, 3540, 219 – 227. | en_US |
dc.identifier.citedreference | Hubálek, Z. “ Coefficients of Association and Similarity, Based on Binary (Presence‐Absence) Data: An Evaluation.” Biological Reviews, 1982, 57, 669 – 689. | en_US |
dc.identifier.citedreference | Hunt, L., and Jorgensen, M. “ Clustering Mixed Data.” Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 2011, 1, 352 – 361. | en_US |
dc.identifier.citedreference | Jain, A. K., and Dubes, R. C. Algorithms for Clustering Data. Upper Saddle River, N.J.: Prentice Hall, 1988. | en_US |
dc.identifier.citedreference | Jain, A. K., Murty, M. N., and Flynn, P. J. “ Data Clustering: A Review.” ACM Computing Surveys, 1999, 31, 264 – 323. | en_US |
dc.identifier.citedreference | Milligan, G. W. “ An Examination of the Effect of Six Types of Error Perturbation on Fifteen Clustering Algorithms.” Psychometrika, 1980, 45, 325 – 342. | en_US |
dc.identifier.citedreference | Milligan, G. W., and Cooper, M. C. “ A Study of Standardization of Variables in Cluster Analysis.” Journal of Classification, 1988, 5, 181 – 204. | en_US |
dc.identifier.citedreference | Morest, V. S., and Jenkins, D. Institutional Research and the Culture of Evidence at Community Colleges. New York: Community College Research Center, Teachers College, Columbia University, 2007. Retrieved Feb. 1, 2011, from http://www.achievingthedream.com/publications/research/institutionalresearchccrc.pdf. | en_US |
dc.identifier.citedreference | Punj, G., and Stewart, D. W. “ Cluster Analysis in Marketing Research: Review and Suggestions for Application.” Journal of Marketing Research, 1983, 20, 134 – 148. | en_US |
dc.identifier.citedreference | Rapkin, B. D., and Luke, D. A. “ Cluster Analysis in Community Research: Epistemology and Practice.” American Journal of Community Psychology, 1993, 21, 247 – 277. | en_US |
dc.identifier.citedreference | StataCorp. Stata Multivariate Statistics Reference Manual, Release 10. College Station, Tex.: StataCorp LP, 2007. | en_US |
dc.identifier.citedreference | Steinley, D. “ Local Optima in K ‐Means Clustering: What You Don't Know May Hurt You.” Psychological Methods, 2003, 8, 294 – 304. | en_US |
dc.identifier.citedreference | Steinley, D. “ K ‐Means Clustering: A Half‐Century Synthesis.” British Journal of Mathematical and Statistical Psychology, 2006, 59, 1 – 34. | en_US |
dc.identifier.citedreference | Steinley, D., and Brusco, M. J. “ Selection of Variables in Cluster Analysis: An Empirical Comparison of Eight Procedures.” Psychometrika, 2008, 73, 125 – 144. | en_US |
dc.identifier.citedreference | VanDerLinden, K. Credit Student Analysis: 1999 and 2000. Annapolis Junction, Md.: Community College Press, American Association of Community Colleges, 2002. | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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