MSc Psychological Research Methods with Advanced Statistics modules

On this page you can find out about the modules on our MSc Psychological Research Methods with Advanced Statistics.

To learn more about the course, visit the University of Sheffield's online prospectus:

MSc Psychological Research Methods with Advanced Statistics

All students will study:

Research Project with Advanced Statistics (60 credits)

Module leader: Dr Danielle Matthews

Project supervisors: All academic staff

You'll conduct a complete empirical project including design, analysis and write-up, under the guidance of a member of academic staff. Projects may be published in peer-reviewed journals, for example:

Vabalas, A., & Freeth, M. (2016). Brief report: Patterns of eye movements in face to face conversation are associated with autistic traits: evidence from a student sample. Journal of Autism and Developmental Disorders, 46(1), 305-314.

Research Methods in Psychology (30 credits)

Organiser: Dr Jilly Martin

Seminars on the methods currently being applied by psychologists are presented by experts in their application. Methods covered include behavioural genetics, eye-tracking, questionnaire design, experimental methods for working with infants and children, qualitative data collection and analysis, and neuroimaging (EEG, fMRI).

Intermediate Multivariate Statistics for Psychology (15 Credits)

Module leader: Dr Chris Stride

The course addresses a range of commonly applied quantitative methods including multiple regression (including testing for mediation and moderation), analysis of covariance, exploratory factor analysis and reliability analysis. The emphasis is on conceptual understanding of when to apply these techniques and how to interpret the output rather than on the underlying mathematics. Additionally a three day course in using SPSS software is offered in the Spring semester.

Advanced Statistical Methods for Psychologists (15 Credits)

Module leader: Dr Nemanja Vaci

This module covers advanced statistical methods and software skills increasingly required by researchers and data analysts in psychology and other social science disciplines. Specific techniques covered include structural equation modelling, multilevel modelling and generalised linear models (using R software). Lectures will be used to teach the rationale behind and principles behind these techniques, with practical sessions offering the opportunity to apply and develop student's knowledge.

Systematically Reviewing Psychological Research (30 credits)

Module leader: Dr Danielle Matthews

Review supervisors: All academic staff

Seminars address searching on-line databases such as Web of Knowledge and Google Scholar, the process of conducting systematic and narrative literature reviews and meta-analysis. The application of reference managing software to manage reference libraries is also addressed. You will complete your own literature review on a topic of your choice under supervision of an academic member of staff.

Professional Skills for Psychologists (30 Credits)

Module leader: Dr Claudia Von Bastian

Seminars address a range of skills that will important for psychologists in both academia and professional practice. Topics include ethical issues, presentation skills, grant proposal writing and managing conferences.

The content of our courses is reviewed annually to make sure it is up-to-date and relevant. Individual modules are occasionally updated or withdrawn. This is in response to discoveries through our world-leading research, funding changes, professional accreditation requirements, student or employer feedback, outcomes of reviews, and variations in staff or student numbers. In the event of any change we'll consult and inform students in good time and take reasonable steps to minimise disruption.

Information last updated: 9 February 2021

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