units

BEX6100

Faculty of Business and Economics

18 September 2017 20 April 2024
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Monash University

Monash University Handbook 2011 Postgraduate - Unit

6 points, SCA Band 3, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

LevelPostgraduate
FacultyFaculty of Business and Economics
OfferedCaulfield RQ2 2011 (Day)
Caulfield RQ3 2011 (Day)
Caulfield RQ4 2011 (Day)
Sunway RQ1 2011 (Day)
Sunway RQ1 2011 (Evening)
Sunway RQ2 2011 (Day)
Sunway RQ2 2011 (Evening)
Sunway RQ3 2011 (Day)
Sunway RQ3 2011 (Evening)
Sunway RQ4 2011 (Day)
Sunway RQ4 2011 (Evening)
Coordinator(s)Associate Professor George Tanewski

Synopsis

The unit focuses on advanced quantitative research methods used in studying accounting, business, finance, management, marketing, and organisational analysis. Topics to be covered include analytic techniques used for experimental, quasi-experimental, and non experimental research designs. The unit focuses on topics include multivariate techniques which deal with cross-sectional, panel, and time-series data. For example, topics include various multivariate ANOVA techniques, regression procedures, discrete choice models, factor analysis, cluster analysis, structural and simultaneous equation modelling, and time-series analysis techniques. Computer sessions will provide students with the opportunity to apply their classroom learning to various business and management cases.

Objectives

The learning goals associated with this unit are to:

  • Develop the necessary quantitative skills to conduct high quality independent research relevant to their discipline
  • Develop a comprehensive grounding in a number of quantitative methods of data production and analysis
  • Consider and evaluate data collection instruments, sampling strategies and the appropriateness of various types of data for research purposes
  • Assess research designs including experimental design, observational studies, case studies, longitudinal analysis and cross-sectional analysis
  • Conduct quantitative data analysis of a suitable multivariate data set through a practical research activity
  • Develop good communication skills by presenting a defense and/or critique of different methodological positions and perspectives.

Assessment

Within semester assessment: 100%

Contact hours

36 hours per semester (split-block mode) of formal class contact.

This unit applies to the following area(s) of study

Doctor of PhilosophyMaster of Philosophy

Prerequisites

0029 or 3194

Co-requisites

BEX6300

Prohibitions

DBA6000