Course Outline

Semester 2, 2016/17

   
   
Course: Multivariate Statistics for Social Sciences
(Statistik Multivariat untuk Sains Sosial)
   
Code: DCE6953
   
Prerequisite: DCE5950
   
Objective To enable students understand and use the multivariate statistical techniques in data analysis.
   
Synopsis: The course focuses on multivariate statistics -- Multiple Linear Regression, Partial Correlation, Logistic Regression, Discriminant Analysis, Factorial Analysis of Variance, Multivariate Analysis of Variance, Repeated Measure ANOVA and Structural Equation Modeling (SEM). Students will also be introduced to data analysis techniques using SPSS and AMOS.
   
Contents:    Overview of Multivariate Analysis
   Factor Analysis
   Multiple Regression
   Partial Correlation
   Logistic Regression
   Discriminant Analysis
   Factorial Analysis of Variance
   Repeated Measure ANOVA
   Structural Equation Modeling
   
References
Anderson, T. W. (2003).  An Introduction to Multivariate Statistical Analysis. 3rd Edition. New York: John Wiley and Sons.

Coakes, S. J. and Steed L. G. (2000). SPSS: Anlysis without Anguish version 10.  Brisbane: John Wiley and Sons Australia Ltd.

Cohen, J. and P. Cohen (1975). Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences. Hillsdale, New Jersey: Lawrence

Erlbaum AssociatesCooley, W.W. and P.R. Lohnes (1962). Multivariate Procedures for the Behavioral Sciences. New York: Wiley

Guilford, J.P. and B. Fruchter (1973). Fundamental Statistics in Psychology and Education, 5th Edition. New York: Mc Graw-Hill

Hair, J.F., R.E. Anderson, R.L. Tatham and W. C. Black (1998). Multivariate Data Analysis with Readings. 5th edition. New Jersey: Prentice Hall

Pedhazur E.J. (1997). Multiple Regression in Behavioral Research. 3rd Edition. New York: Wadsworth Pub Co.

Stevens, J. P. (2001).  Applied Multivariate Statistics for the Social Sciences. 4th Edition. New York: Lawrence Erlbaum.

Tabachnick, B.G. (2001).Using Multivariate Statistics. 4th Edition. Boston: Allyn and Bacon.

Coakes, S.J. and Steed, L.G. (2000). SPSS: Analysis without Anguish ver 10.0. Brisbane: John Wiley & Sons Australia, Ltd

 
   

Last update: 22 February 2017                                                basfmiNet 2017

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 


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