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Relevance of Multivariate Analysis in Management Research

  • 투고 : 2016.06.22
  • 심사 : 2016.07.22
  • 발행 : 2016.09.30

초록

Often we receive misled conclusion in the research if properly variables are not analyzed. In different functional issues of management it is very essential that all the latent and observed variable are properly understood so management decisions will be relevant and effective. The objective of this paper is to investigate the use of different multivariate tools for analyzing in the management research : applied or basic. The sources of data is primary as well as secondary. The primary includes the observation of different research articles of the proceedings of different conferences. And the secondary includes different publications related to multivariate analysis. The study has revealed the reasons of not using such tools of research. The preliminary finding reveals that most of the researches do not use such analytical tools in a comprehensive manner. Carelessness in design while fixing the design aspect is the main reasons of not using appropriate design.

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참고문헌

  1. Aldenderfer, M. S. and Blashfield, R. K., Cluster analysis, Beverly Hills, CA : Sage, 1984.
  2. Castek, O., Blazek, L., Pudil, P., and Somol, P., "Comparison of the Multivariate and Bivariate Analysis of Corporate Competitiveness Factors Synergy", VSB-TU Ostrava, Vol. 16, 2013, pp. 67-77.
  3. Chandra, S. and Menezes, D., "Applications of Multivariate Analysis in International Tourism Research : The Marketing Strategy Perspective of NTOs", Journal of Economic and Social Research, Vol. 3, No. 1, 2001, pp. 77-98.
  4. Finney, D. J., Ed. Probit Analysis, Cambridge, England, Cambridge University Press, 1952.
  5. Gittins, R., Canonical analysis : A Review with Applications in Ecology, Berlin : Springer Verla, 1985.
  6. Gleser, L. and Olkin, I., Stochastically Dependent Effect Sizes. In : The Handbook of Research Synthesis, Cooper, H., Hedges, L., eds, Russell Sage Foundation : 1994, New York, pp. 339-355.
  7. Hair, J. F. Jr., Anderson, R., Tatham, R., and Black, W. C., Multivariate Data Analysis (5th ed.). Upper Saddle River, NJ : Prentice Hall, 1998.
  8. Haupt, T. D. and Allen, R. M., "A Multivariate Analysis of Variance of Scale Scores on the Sex Inventory, Male Form", Journal of Clinical Psychology, Vol. 22, No. 4, 1966, pp. 387-395. https://doi.org/10.1002/1097-4679(196610)22:4<387::AID-JCLP2270220405>3.0.CO;2-4
  9. Houwelingen, H. C. V., Lidia R. A., and Stijnen, T., "Advanced Methods in Meta-analysis : Multivariate Approach and Meta-regression", Statistics in Med, Vol. 21, 2002, pp. 589-624. https://doi.org/10.1002/sim.1040
  10. Lipovatz, D., Mandaraka, M., and Mourelatos, A., "Multivariate Analysis for the Assessment of Factors Affecting Industrial Competitiveness : The case of Greek food and Beverage Industries", Applied Stochastic Models in Business and Industry, Vol. 16, No. 2, 2000, pp. 85-98. https://doi.org/10.1002/1526-4025(200004/06)16:2<85::AID-ASMB384>3.0.CO;2-D
  11. Smith, S. M. and Albaum, G. S., An Introduction to Marketing Research, 2010.
  12. Sokal, R. R. and Sneath, P. H. A., Principles of Numerical Taxonomy, San Francisco : Freeman, W. H., 1963.
  13. Villamoran, E. P., "Multivariate Data Analyses : Multiple Regressions Applied in Educational Research", 10th National Convention on Statistics (NCS), EDSA Shangri-La Hotel, October 1-2, 2007
  14. Whitlark, D. B. and Smith, S. M., "Using Correspondence Analysis to Map Relationships : It's Time to Think Strategically about Positioning and Image Data", Marketing Research, Vol. 13, No. 3, 2001, pp. 22-27.