Monash University Handbook 2010 Undergraduate - Unit

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 goals associated with 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 (eg: 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%

Chief examiner(s)

Ross Donohue

Contact hours

3 hours per week

Prerequisites

Students must be enrolled in course 0181 or 0508 to undertake this unit

Prohibitions

BEW4010