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Multivariate Statistics
Postgraduate | SWI-STA70002 | 2019
Course information for 2019 intake
Weigh up statistical tools and techniques often used in social and health research studies that focus on multiple questions. Explore statistical methods. Run-through a study. Prepare data. Use software. Interpret results. Get ready for a career in statistical consulting.
- Study method
- 100% online
- Assessments
- Subject may require attendance
- Entry requirements
- Part of a degree
- Duration
- -
FEE-HELP available
Multivariate Statistics
About this subject
Students who successfully complete this subject will be able to:
- Summarise the objectives of a study, specify variables of interest in a study and identify their level of measurement
- Prepare data files for analyses (i.e. data screening, checking assumptions etc.)
- Test the assumptions underlying a statistical analysis and state the limitations of a study
- Identify the most appropriate analysis for the research question and execute the analysis using an appropriate software package
- Interpret and report the results of statistical analyses.
- Review of multiple regression: understanding partial and part correlation coefficients, selecting and using different regression strategies
- Tests for mediation and moderation using multiple linear regression
- Exploratory factor analysis
- Multivariate Analysis of Variance (MANOVA): Between subjects, within subjects and mixed-design MANOVA
- Discriminant analysis
- Binary Logistic Regression
- Canonical Correlation Analysis
This subject teaches students to identify and apply the multivariate statistical techniques most commonly used in social and health research, to understand the assumptions underlying their use, and appreciate the strengths and limitations of these methods. Knowledge of these methods is particularly helpful for gaining employment in statistical consulting.
Please note: assessment values are indicative only, details will be advised at the start of the subject.
- Quizzes — Online (10%)
- Invigilated Exam (50%)
- Assignments — 2 (40%)
For textbook details check your university's handbook, website or learning management system (LMS).
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Entry requirements
To enrol in this subject, you must be admitted into a degree.
Prior study
You must have successfully completed the following subject(s) before starting this subject:
one of
- SWI-STA60005-Statistical Practice 2
SWI-HMS771 (Not currently available)
Equivalent subjects
You should not enrol in this subject if you have successfully completed any of the following subject(s) because they are considered academically equivalent:
SWI-HMS780 (Not currently available)
Additional requirements
- Other requirements -
You will require access to a recent version of SPSS - at least the SPSS Grad Pak.
Study load
- 0.125 EFTSL
- This is in the range of 10 to 12 hours of study each week.
Equivalent full time study load (EFTSL) is one way to calculate your study load. One (1.0) EFTSL is equivalent to a full-time study load for one year.
Find out more information on Commonwealth Loans to understand what this means to your eligibility for financial support.