Skip to main content
Start of main content.

BUSN73-402: Quantitative Research Methods

Description

This class is about extending your knowledge of statistics into the multivariate domain. Sampling from a subset of techniques that are commonly used in business fields and becoming proficient at identifying which techniques to use when. It is also about knowing when a technique is inappropriate, looking for violations of assumptions, diagnosing those violations and finding ways around them. Quantitative Methods provides a detailed understanding of the application of statistical methods in common use in business research. Multiple regression, correlation, and analysis of variance in terms of the general linear model are presented. An overall strategy for fitting and evaluating models to data using statistical applications packages is taught. Multivariate, non-linear, and non-parametric methods are introduced.

Subject details

Type: Postgraduate Subject
Code: BUSN73-402
EFTSL: 0.125
Faculty: Bond Business School
Semesters offered:
  • May 2022 [Standard Offering - HDR]
Credit: 10
Study areas:
  • Actuarial Science and Data Analytics
  • Business, Commerce, and Entrepreneurship
Subject fees:
  • Commencing in 2021: $5,110.00
  • Commencing in 2022: $5,170.00
  • Commencing in 2023: $5,300.00
  • Commencing in 2021: $5,570.00
  • Commencing in 2022: $5,570.00
  • Commencing in 2023: $5,710.00

Learning objectives

1. Understand quantitative research methodology applied to doctoral studies across a range of discipline areas. 2. Develop competency in particular tools and techniques applicable to research 3. Link theory with its practical implementation in the context of personal research directions 4. Discuss and critique research ideas with colleagues and seek feedback 5. Use Eviews and SPSS software to assist research activities

Enrolment requirements

Requisites:

Nil

Assumed knowledge:

Assumed knowledge is the minimum level of knowledge of a subject area that students are assumed to have acquired through previous study. It is the responsibility of students to ensure they meet the assumed knowledge expectations of the subject. Students who do not possess this prior knowledge are strongly recommended against enrolling and do so at their own risk. No concessions will be made for students’ lack of prior knowledge.

No Prior Knowledge Required

Restrictions: This subject is not available to
  • Study Abroad Students

Only available to HDR students

This subject is not available as a general elective. To be eligible for enrolment, the subject must be specified in the students’ program structure.

Subject dates

  • Standard Offering - HDR
    Enrolment opens: 20/03/2022
    Semester start: 16/05/2022
    Subject start: 16/05/2022
    Cancellation 1: 30/05/2022
    Cancellation 2: 06/06/2022
    Last enrolment: 29/05/2022
    Withdraw - Financial: 11/06/2022
    Withdraw - Academic: 02/07/2022
    Teaching census: 10/06/2022
Standard Offering - HDR
Enrolment opens: 20/03/2022
Semester start: 16/05/2022
Subject start: 16/05/2022
Cancellation 1: 30/05/2022
Cancellation 2: 06/06/2022
Last enrolment: 29/05/2022
Withdraw - Financial: 11/06/2022
Withdraw - Academic: 02/07/2022
Teaching census: 10/06/2022