MDP: Quantitative Research Methods

Quantitative Research Methods

Activity Description

Quantitative Research methods play a key role in the discovery of new knowledge and the evaluation of tools and technologies across many disciplines. Quantitative methods use mathematical, statistical or numerical techniques to process numerical data. Examples and hands-on demonstrations will be provided with R or Python programming languages. The goal of this module is to provide basic principles and foundations of commonly-used quantitative research methods that can be applied in multiple disciplines, including Software Engineering, Cybersecurity and Human-Centred Computing.

Activity Type

Workshop (Face-to-Face or Webinar)


Dr. Kla Tantithamthavorn (Email:

Graduate Research Accredited Hours


Learning Outcomes

By the end of this module, students will

  1. Understand the principles of common quantitative research methods used in software engineering.
  2. Understand the applications and interpretation of quantitative research methods.
  3. Be able to design and execute a software engineering research project using contemporary quantitative research methods

Prior to the Workshop


Date Location Topics Learning Activity
26 April 2023 10:00-12:00 pm CL_Anc-19.LTB_393 Lecture #1: Introduction to Quantitative Research Methods and Design Science Paradigms Visual Abstract
28 April 2023 10:00-12:00 pm CL_Anc-19.LTB_G62 Lecture #2: Statistical Analysis (Parametric and Non-parametric Tests), Hypothesis Testing and Effect Size Analysis Quizzes train.csv
5 May 2023 10:00-12:00 pm CL_Anc-19.LTB_G56 Lecture #3: Modern Regression Analysis (Linear, Non-Linear, Logistic) and Correlation vs Causation + Modern Model Explainability Quizzes train.csv
10 May 2023 10:00-12:00 pm CL_Anc-19.LTB_121 Lecture #4: Modern Machine Learning for Data Analysis and Common Pitfalls and Avoidance Strategies Quizzes


Student Evaluation

Student Testimonials


Slack will be used for all announcements, general questions about the course, clarifications about assignments, student questions to each other, discussions about material, and so on.

We strongly encourage all students to participate in discussion, ask, and answer questions in class as well as through Slack!

We strongly encourage all students to form reading groups for joint study of the papers and the materials, to make the semester more fun and more productive.

Listeners outside Monash University

Please feel free to reuse any of these course materials that you find of use in your own courses.

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