About

About our research

We are a centre of excellence for data and analysis skills, internationally recognised for how we teach and use those skills in our research.

Our Q-Step Centre is one of 17 established by the Nuffield Foundation to address a quantitative skills gap in social science students.

Our goal is to promote statistical literacy, and we have developed a narrative approach to teaching that enables students of all levels to gain confidence while working with quantitative data. 

High-level numeracy skills can help in everyday life and create job opportunities in science, technology, engineering and mathematics. 

Among our study initiatives are:

  • teaching quantitative methods as core units for all students in the sociology department. Each year we take 1200 students from Level 3 to Level 7.
  • giving students valuable real-world experience in quantitative research through our Q-Step in the Community programme. Placements are available at the university or with our local, public, private and third-sector partners. The host organisations benefit through more robust funding applications and evaluations.
  • offering free online tutorials to promote statistical literacy — developed by students for students. We’ve also produced bespoke student guides for SAGE Research Methods.

Postgraduate students can take an MSc in Applied Quantitative Methods. We also support PhD candidates in their research studies.

Our quantitative expertise helps students develop statistical and analytical skills for academic and career success.

It also helps the wider research community at Manchester Met further our knowledge of society, including by:

  • examining issues that affect hard-to-reach groups such as young people, sex workers and victims of domestic violence
  • tackling challenging research topics, including quantitative aspects of love and the efficacy of community policing

The Economic and Social Research Council has highlighted our Q-Step approach as best practice. Our work featured in its report on improving maths education for 16 to18-year-olds.

Meet the team

See contact details, publications history, specialisms and more.

Research approach and themes

We aim to develop inclusive methods of teaching that help students succeed, remain in higher education, and achieve their career or academic goals.

This involves studying:

  • reverse mentoring - with students as mentors to academic members of staff
  • statistical anxiety of undergraduate social science students (working with Cardiff University, Edinburgh University and UCL University College, Denmark)
  • learning through experiences as part of the Q-Step in the Community programme

We also encourage innovative quantitative methods in research, such as:  

  • creative questionnaire design to support research with children
  • comparisons of children’s wellbeing and attitudes to maths
  • reflexive quantitative methodologies

Selected projects