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Design and Measurement 3

2014 unit code: STA20002 (formerly LSQ300)

Please note that unit codes have changed from 2014.
Credit points12.5 Credit Points

One Semester

Contact hours42 hours over the teaching period (normally 3.5 hours per week)
PrerequisitesLSQ200 Design and Measurement 2 

Related course(s)

*From July, 2013 this unit will be taught at the Hawthorn Campus
Co-badged with STA310 Multivariate Statistics (Online)

This is a prescribed unit of study in the Social Science Major/s. It may also be undertaken as a unit of study in any other Swinburne degree program, subject to the prerequisite and degree requirements.

Aims and objectives

The aims are to provide you with the skills necessary to:
• Critically assess statistics presented in journal articles
• Choose and conduct appropriate statistical analyses on your own data
• Write informative reports on statistical analyses

On completion of the unit students will be able to :
• Make a clear statement of the objectives of a study
• Prepare data for analysis using appropriate data screening techniques
• Analyse the data using appropriate multivariate statistical techniques
• Interpret the results and write a concise, informative report

Teaching methods

Units will be taught in a variety of modes including face to face, online, distance and blended modes. Delivery of this unit may be through a mixture of lectures, tutorials, laboratories, seminars and online.


Workbooks 15 - 25%
Tests 15 - 25%
Examination 55 - 65%

Generic skills outcomes

This unit will provide discipline-based knowledge and professional capabilities and experiences contributing to students progress in attaining generic skills such as:
• analysis skills, problem solving skills and communications skills
• ability to tackle unfamiliar problems
• ability to work independently


• Review of Bivariate Regression, Data Screening and Data Transformation.
• Multiple Regression
• Factor Analysis
• Other multivariate technique (MANOVA or ANCOVA or Log-linear Modelling) [MANOVA for psychology major]

Text books

Francis, G. ‘Multivariate Statistics’, 2013. Pearson Education, French’s Forest.


Tabachnick, B. G., and Fidell, L. S. 2007.Using multivariate statistics, 5th ed. Allyn and Bacon, Boston