512-422 Advanced Design and Data Analysis

Credit Points

HECS Band

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Semester

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Subject Description

This subject presents an introduction to multivariate data analysis. It aims to provide an understanding of the rationale and application of a number of widely used multivariate procedures, and the use of the software package SPSS for performing them. It is concerned with the nature of multivariate statistical models, the occasions on which they can be used, the information that can be gained from them, and their limitations. The subject focuses on practical issues in designing and analysing social and psychological research studies and students are encouraged to work through design and analysis problems arising in their own research. Topics include multivariate analysis of variance and discriminant analysis; multiple regression; logistic regression; and principal components analysis and factor analysis.

Assessment

Written work of no more than 3000 words.

Attendance at 80% or more of the laboratory classes is a hurdle requirement. (In case of failure to meet the hurdle requirement, additional work will be required before a passing grade can be awarded.)