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International Journal of Latest Research in Science and Technology

DOI:10.29111/ijlrst   ISRA Impact Factor:3.35

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APPLICATION OF GROUP-DEPENDENT TRANSFORMATION OF FISHER?S DISCRIMINANT ANALYSIS IN A UNIVERSITY OF TECHNOLOGY

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International Journal of Latest Research in Science and Technology Vol.2 Issue 2, pp 40-45,Year 2013

APPLICATION OF GROUP-DEPENDENT TRANSFORMATION OF FISHER?S DISCRIMINANT ANALYSIS IN A UNIVERSITY OF TECHNOLOGY

Audu Isah,Usman Abdullahi

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Received : 11 April 2013; Accepted : 15 April 2013 ; Published : 30 April 2013

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Abstract

In this study, an expression for the discriminant rule in the situation of two groups was derived. This was used to identify the relative contributions of the subjects to the separation of the groups. Group dependent Fisher discriminant analysis was employed in classifying students into various departments on the basis of their cumulative results for one year foundation programme (Preliminary Degree Programme in a University of Technology). The discriminant scores for each department was predicted with probability of correct classification of 0.796 and apparent error rate of 0.204.

Key Words   
Linear Discriminant Coefficients, Classification Rules, Apparent Error Rate, Group Means, an
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References
  1. Adebayo S.B., Jolayemi E.T. (1998b). On the Effect of Rare Outcome on some Agreement/Concordance Indices. Nig. J. Pure and Appl. Sci. 13: 718-723.
  2. Adebayo S.B., Jolayemi E.T. (1999). Effect of Rare Outcome on the Measure of Agreement Index. J. Nig. Stat. Assoc. 13:1-10.
  3. Anastasi, A. (1982). Psychological Testing. New York: Macmillan.
  4. Charles B.K., June E.H. (1970). Predicting Graduation Withdrawal and Failure in College by Multiple Discriminant Analysis. J. Edu. Measur. 7(2): 91-95.
  5. Cleary, T.A., Humphreys, C., Kendrick, S.A., & Wesman, A. (1975). Educational Uses of American Psychologist, 30, 15-41.
  6. Ebmeir, H., & Schmulbach, S. (1989). An Examination of the Selection Practices Used in the Talent Search Program. Gifted Child Quarterly, 33, 134-141.
  7. Ewell, P.T. In Diane F. Halpern (Ed.), Student Outcomes Assessment: What Institutions Stand To Gain (pp.9-24). New Directions in Higher Education, No. 59. Vol. XV, number 3. San Francico: Jossey-Bass.
  8. Fisher. R. A. (1938).The statistical utilization of multiple measurements. Annals of Eugenics, 8:376–386,.
  9. Fisher R.A. (1936). The use of Multiple Measurements in Taxonomic problems. Ann. Eug. 7: 179 – 188.
  10. Greene, J., & McClintock, C. (1985). Triangulation in Evaluation: Design and Analysis Issues. Evaluation Review, 9, 523-545.
  11. Markert, L.F., & Monke, R.H. (1990). Changes in Counselor Education Admissions Criteria. Counselor Education and Supervision, 30, 48-57.
  12. Mathison, S. (1998). Why Triangulate? Educational Researcher, 17, 13-17.
  13. McNabb, S.L. (1990). The Uses of “Inaccurate” Data: A Methodological Critique and Applications of Alaska Native Data. American Anthropologist, 92, 116-129.
  14. Melnick, M. (1975). Testing the Disadvantaged. American Psychologist, 30, 944-945.
  15. Nettles, M.T., Thoeny, A.R., & Gosman, E.J. (1986). Comparative and Predictive Analyses of Black and White Students’ College Achievement and Experiences. Journal of Higher Education, 57 (3), 289-318.
  16. Neil H. T. (2002). Applied Multivariate Analysis. Springer, Pittsburgh
  17. Rao. C. R. (1948). The utilization of multiple measurements in problems of biological classification. Journal of the Royal Statistical Society, Series B, 10:159–203.
  18. Riehl, R.J. (1994). The Academic Preparation, Aspirations, and First-Year Performance of First-Generation Students. College and University, 70 (1), 14-19.
  19. Stage, F.K., & Russell, R.V. (1992). Using Method Triangulation in College Student Research. Journal of College Student Development, 33, 485-491.
  20. Sturm, S., & Guinier, L. (2001). The Future of Affirmative Action. Boston Review, December 2000/January 2001, 4-10
  21. Tracey, T.J., & Sedlacek, W.E. (1985). The relationship of Noncognitive Variables to Academic Success: A Longitudinal Comparison by Race. Journal of College Student Personnel, 26, 405-410.
  22. Young, B.D., & Sowa, C.J. (1992). Predictors of Academic Success for Black Student Athletes. Journal of College Student Development, 33, 318-324.
  23. Selingo, J., & Brainard, J. (2001, March 2). Call to Eliminate SAT Requirement May Reshape Debate on Affirmative Action. The Chronicle of Higher Education, pp. A21.
To cite this article

Audu Isah,Usman Abdullahi , " Application Of Group-dependent Transformation Of Fisher?s Discriminant Analysis In A University Of Technology ", International Journal of Latest Research in Science and Technology . Vol. 2, Issue 2, pp 40-45 , 2013


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