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| Undergraduate |
(BUS)
|
Leader: Dr H. (Mindi) Nath)
Offered:
Berwick First semester 2006 (Day)
Gippsland First semester 2006 (Day)
Peninsula First semester 2006 (Day)
Synopsis: Introduction to multivariate statistical techniques for the analysis of survey data. Topics include cross tabulation of data and Chi-square test of independence and goodness of fit, correlation and its applications (reliability analysis: Cronbach's alpha), General linear regression, Multivariate analysis of variance and covariance, discriminant, factor, and cluster analysis. Use of SPSS for windows for analysis.
Objectives: On successful completion of this unit, students will be able to: organize survey data for statistical analysis; apply multivariate statistical techniques MANOVA, MANCOVA, multiple regression, discriminant, factor and cluster analysis in exploring and establishing relationships between / among variables; carry out appropriate statistical tests for evaluating reliability of scale and support for research hypotheses; demonstrate skills in communicating the results of the analysis; use SPSS for data analysis.
Assessment: Assignments: 50% + Examination (2 hours, closed book): 50%.
Contact Hours: One 2-hour lecture and one 1-hour laboratory/tutorial per week.