MGX4200 - Data analysis for organisational research

Leader: Dr Ross Donohue

Offered

Caulfield Second semester 2008 (Day)

Synopsis

Graphical and multivariate data analysis techniques to communicate information derived from large scale survey data. Desktop and mainframe information technology is integrated to analyse data from various surveys. Teaching strategies include weekly workshop sessions dealing with the principles of data analysis; practical computer laboratory sessions; individual and team-based exercises.

Objectives

The learning objectives of this unit are to:

• Select and conduct preliminary analyses of data in order to assess their suitability for further analysis;
• Demonstrate proficiency in the use of data analytic software such as SPSS;
• Analyse data using qualitative techniques (e.g., content, thematic analysis) in order to answer research questions and/or test hypotheses;
• Analyse data using quantitative techniques (univariate, bivariate, multivariate) in order to answer research questions and/or test hypotheses;
• Interpret and report the results/findings obtained from qualitative and quantitative data analytic techniques.

Assessment

Within semester assessment: 60%
Examination (2 hours): 40%

Contact hours

3 hour class

Prerequisites

Acceptance into the BBus (Hons), BCom (Hons), MPhil (Prelim)