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Why Numbers Matter

Quantitative Research

Nick Barter, Christopher Stevenson, Angela Victor, Chris Rawson, Jessica Cheung, Georgie Lowe, Matthew Clarke, and Michael Rose

Most FutureLearn courses run multiple times. Every run of a course has a set start date but you can join it and work through it after it starts. Find out more This course is aimed at anyone interested in research, but may be of particular interest to people who are undertaking a research project related to their profession or area of study.

Topics Covered

Read more

Most FutureLearn courses run multiple times. Every run of a course has a set start date but you can join it and work through it after it starts. Find out more This course is aimed at anyone interested in research, but may be of particular interest to people who are undertaking a research project related to their profession or area of study.

Topics Covered

  • Why numbers matter in quantitative research
  • How to use statistics to analyse data and solve real world problems
  • How to formulate research questions, informed by accurate and reliable measurement
  • How to select and justify an appropriate research method to answer your question
  • The close relationship between quantitative and qualitative research
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Reviews summary

Quantitative research: foundational yet theoretical

According to students, "Why Numbers Matter: Quantitative Research" provides a solid introduction and clear explanations for those new to the field, making complex topics accessible and easy-to-follow. Many appreciate its focus on formulating research questions and the importance of reliable measurement. However, some learners express that the course is too theoretical and lacks sufficient practical application, particularly regarding statistical software and hands-on data analysis. While it offers a strong conceptual foundation, more experienced individuals may find the content too basic, suggesting a better fit for beginners seeking an overview rather than in-depth skills.
Highly beneficial for beginners, potentially too simple for those with prior experience.
"It's a great starting point, though advanced learners might find it too basic."
"The course is extremely high-level and doesn't provide any actionable skills. I already knew most of what was taught from basic undergrad courses. It's too simplistic for anyone with a background in social sciences or data. Wasted my time."
"This course laid out the fundamentals clearly for someone new to research."
"I'd recommend this for absolute beginners, but not if you have any existing knowledge in the field."
Good coverage of research questions and measurement reliability.
"I liked the emphasis on formulating good research questions."
"It truly helps one understand the importance of reliable measurement."
"The connection between quantitative and qualitative research was particularly insightful for me."
Well-organized modules with clear explanations.
"The explanations were clear and the content was presented in a logical, easy-to-follow manner."
"The modules were well-structured, and the quizzes reinforced learning effectively."
"I found the course laid out the fundamentals very clearly."
Excellent for newcomers, clarifies core quantitative concepts.
"This course provided an excellent foundation in quantitative research. The explanations were clear and the content was presented in a logical, easy-to-follow manner."
"Fantastic course! It demystified quantitative research for me. The modules were well-structured, and the quizzes reinforced learning effectively."
"Excellent course for beginners! As someone new to research, this course laid out the fundamentals clearly."
"I feel much more confident now after taking this course, it really helped me understand the basics."
Emphasizes concepts, but less hands-on application of statistics.
"Some parts felt a bit rushed, especially the statistical software section, which could have used more hands-on practice or detailed walkthroughs."
"The course promised to teach 'how to use statistics to analyse data' but only scratched the surface. I felt it was too theoretical and lacked the practical application I was looking for."
"The conceptual parts were fine, but the practical application was weak. I was hoping for more hands-on work with data..."
"I found it to be a good theoretical foundation, but it was less practical than I had hoped."

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Reading list

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Time
6 hours
Via
FutureLearn
Institutions
Deakin University
Griffith University
Instructors
Nick Barter
Christopher Stevenson
Angela Victor
Chris Rawson
Jessica Cheung
Georgie Lowe
Matthew Clarke
Michael Rose
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