Research Methods for Applied Psychologists (930C8)

15 credits, Level 7 (Masters)

Autumn teaching

The module offers a comprehensive survey of the principal research methodologies and strategies prevalent in specialised applied branches of psychology, such as clinical and educational psychology. The module is designed for students from a diversity of academic backgrounds. This includes students more limited prior exposure to research-focused methods.

The module encompasses a broad spectrum of data analytical techniques, including some more conventional frequentist approaches. It places a concentrated emphasis on analytic methods tailored to research designs and approaches that are commonly used in applied psychology areas. These analytical methods may include:

  • longitudinal design and data analysis
  • analysis of survey-style data
  • use and analysis of large open-access datasets
  • understanding, analysing and interpreting randomised control trials
  • single-case designs
  • qualitative analysis approaches
  • meta-analytical techniques
  • systematic reviews.

The module delves into the theoretical and research design underpinning of the data analytical approaches, as well as the practical application of these approaches. It uses real-world examples and analysis platforms. 


40%: Lecture
60%: Practical (Workshop)


100%: Coursework (Portfolio, Test)

Contact hours and workload

This module is approximately 150 hours of work. This breaks down into about 55 hours of contact time and about 95 hours of independent study. The University may make minor variations to the contact hours for operational reasons, including timetabling requirements.

We regularly review our modules to incorporate student feedback, staff expertise, as well as the latest research and teaching methodology. We’re planning to run these modules in the academic year 2024/25. However, there may be changes to these modules in response to feedback, staff availability, student demand or updates to our curriculum. We’ll make sure to let you know of any material changes to modules at the earliest opportunity.