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Design and Measurement 3

Unit code: LSQ300

Credit points12.5 Credit Points
Duration

One Semester

Contact hours42 hours over the teaching period (normally 3.5 hours per week)
CampusLilydale, Online
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.

Assessment

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

Content

• 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.

References

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