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Subject details

Students who successfully complete this subject will be able to:

  1. Summarise the objectives of a study, specify variables of interest in a study and identify their level of measurement
  2. Prepare data files for analyses (i.e. data screening, checking assumptions etc.)
  3. Test the assumptions underlying a statistical analysis and state the limitations of a study
  4. Identify the most appropriate analysis for the research question and execute the analysis using an appropriate software package
  5. 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
  • Study resources

    • Instructional methods

      • Discussion forum/Discussion Board
      • Online Quizzes/Tests
      • Online assignment submission
      • Web links
    • Print materials

      • Welcome letter
    • Online materials

      • Printable format materials

Equivalent subjects

You cannot enrol in this subject if you have successfully completed any of the following subject(s) because they are considered academically equivalent:

  • SWI-HMS780

You must have successfully completed the following subject(s) before starting this subject:

SWI-STA60005-Statistical Practice 2 , or SWI-HMS771

Special requirements

  • OtherDetails -

    You will require access to a recent version of SPSS - at least the SPSS Grad Pak.

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%)

Textbook information is pending.

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