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MMM907 - Quantitative Research Methods


2023 unit information

Enrolment modes:Trimester 1: Burwood (Melbourne)
Credit point(s):1
EFTSL value:0.125
Unit Chair:Trimester 1: Virginia Weber


Incompatible with: Nil
Typical study commitment:

Students will on average spend 150 hours over the teaching period undertaking the teaching, learning and assessment activities for this unit.

Scheduled learning activities - campus:

1 x 3 hours seminar per week


The unit focuses on advanced quantitative research methods used in studying economics, accounting, finance, business, management and marketing. A range of advanced multivariate techniques are covered including methods suitable for observational and experimental designs. The unit offers concepts and methodological tools that can be used with cross-sectional, panel, and time-series data, drawing particular attention to testing causal claims in the presence of endogeneity.

Topics include various multivariate techniques such as regression procedures, factor analysis, structural equation and multi-level modelling, time-series analysis techniques and instrumental variables estimators. Students work on replications and extensions of previous studies and develop skills on how to write up research results based on findings from statistical analyses. The main key objectives of the subject entail learning how to choose appropriate statistical methods to test hypotheses and how to articulate statistical results into written narratives.

ULO These are the Learning Outcomes (ULO) for this unit. At the completion of this unit, successful students can: Deakin Graduate Learning Outcomes

Identify the quantitative analytical technique(s) most appropriate for evaluating a particular hypothesis.

GLO1: Discipline-specific knowledge and capabilities
GLO4: Critical thinking


Accurately perform quantitative data analysis of existing data sets using an appropriate statistical package.

GLO1: Discipline-specific knowledge and capabilities
GLO3: Digital literacy


Convert the results of quantitative data analyses into a well-articulated written narrative.

GLO2: Communication


Assessment Description Student output Grading and weighting
(% total mark for unit)
Indicative due week
Assessment 1: (Individual) In-trimester data analysis tasks 2500 words 50% Weeks 4, 6, 8, 10 and 11

Assessment 2: (Individual) Report (Research) 

5000 words 50% Week 12

The assessment due weeks provided may change. The Unit Chair will clarify the exact assessment requirements, including the due date, at the start of the teaching period.

Hurdle requirement

Hurdle requirement: students must attempt ALL assessments

Learning Resource

The texts and reading list for the unit can be found on the University Library via the link below: MMM907 Note: Select the relevant trimester reading list. Please note that a future teaching period's reading list may not be available until a month prior to the start of that teaching period so you may wish to use the relevant trimester's prior year reading list as a guide only.

Unit Fee Information

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