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 Multivariate Design and Analysis - EDST5103
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Campus: Kensington Campus
 
 
Career: Postgraduate
 
 
Units of Credit: 8
 
 
EFTSL: 0.167 (more info)
 
 
Contact Hours per Week: 2
 
 
Enrolment Requirements:
 
 
Prerequisite: EDST5101
 
 
Excluded: EDST2103, EDST3103
 
 
Fee Band: 2 (more info)
 
 
Further Information: See Class Timetable
 
  

Description

Explores issues of research design in considerable depth and focuses on more advanced statistical applications. General linear models and nonlinear relationships. The extraction and rotation of common factors by graphical and analytic means. Factor analysis as a tool in the construction of educational and psychological inventories. Structural equation modelling. The extension of factorial analysis of variance designs to include many dependent variables. Application of factor analysis and multivariate analysis of variance to educational research problems. Meta analysis, computer analysis of qualitative data. Use of computer package programs.

Learning Outcomes

On completion of the course, students should be able to:
  • Understand critical issues in planning and implementing comprehensive research projects
  • Evaluate empirical studies in terms of reasoning and methodology
  • Analyse multivariate data.

Assessment

  • Class tests - 50%
  • Research report - 40%
  • Presentation - 10%

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