Explore this course:
Psychological Research Methods with Advanced Statistics
Department of Psychology,
Faculty of Science
This 12-month course is designed to train you in the advanced statistical skills and latest research methods that are needed to handle and interpret large datasets documenting human behaviour, ready for clinical training, a PhD or an exciting psychological career.
Through your statistical training we’ll teach you the latest techniques including confirmatory factor analysis and structural equation modelling, multilevel modelling and generalised linear models (using R software). We'll teach you the skills you need and give you the opportunities to apply them to the area of psychology that you're interested in: from cognitive and developmental, to social and clinical psychology.
Alongside your statistical training you'll learn a broad range of research techniques from neuroimaging (EEG, fMRI), behavioural genetics, through experimental methodologies and clinical trial design, to qualitative interview, diary study methodologies and specialist methods for working with infants, children and clinical populations.
You'll also begin training in a range of skills that are important for psychologists in academia and professional roles: you'll understand ethical issues in research, learn how to write a grant proposal, and develop your presentation skills ready to take part in our annual student-led summer conference.
The Research Project with Advanced Statistics and Systematic Literature Review course components, which include coverage of meta-analysis, give you the opportunity to focus on a chosen psychological research question in detail under the supervision of one of our world-class researchers.
You can choose a supervisor from an area of psychology that matches your research interests and future career aspirations within cognitive, developmental, social or clinical psychology.
These projects give you the opportunity to put your new statistical skills and research methods knowledge into practice while addressing an issue at the cutting edge of psychological research. It's common for MSc research projects and literature reviews to form the basis of publications in peer-reviewed journals.
- Example research projects
- Identifying subtypes of autism
- Relationships between drinking motives and alcohol consumption: secondary data analysis of the Offending, Crime and Justice Survey
- Comparing the characteristics of child psychopathology reported by self, parent and teacher: Analysis of the British Child and Adolescent Mental Health Survey.
- Example past papers published, including student authors
- Matthews, D., Biney, H., Abbot-Smith, K. (2018). Individual differences in children’s pragmatic ability: A review of associations with formal language, social cognition, and executive functions. Language Learning and Development.
- Johnston, S., Krasuska, A., Millings, A., Lavda, A., & Thompson, A. R. (2018). Experiences of rosacea and its treatment: An interpretative phenomenological analysis. British Journal of Dermatology, 178, 154-160. doi: 10.1111/bjd.15780.
- Vogt, KS., & Norman, P. (2018) Is mentalization-based therapy effective in treating the symptoms of borderline personality disorder? A systematic review. Psychology and Psychotherapy: Theory, Research and Practice.
Psychological Research Methods at Sheffield
In addition to Psychological Research Methods with Advanced Statistics, at Sheffield we offer two other specialist masters courses in this area that allow you to specialise further and develop the skills you need for a successful career:
- Research Project in Psychology with Advanced Statistics
Students conduct, analyse and write up a research project under the guidance of their academic supervisor. The topic and methods chosen will normally be closely related to the area of expertise of the supervisor. In conducting the research project under supervision, students gain first-hand practical experience of managing the research process, starting with the formulation of a specific research question on the basis of review of relevant literature and guidance from the supervisor, through to the design, execution and analysis of a study, and the writing-up of a report. Data analysis for the project will involve the use of advanced statistical methods. All projects must be submitted to, and receive approval from, the Psychology Department Ethics Committee before they can proceed. Projects are written up in the standard format for submission to an appropriate academic journal (e.g., British Journal of Social Psychology).60 credits
- Research Methods
This course provides coverage of both quantitative and qualitative methods for psychology graduates. It emphasises the relationship between the research question being addressed and choice of method of data collection. The course combines lectures and tutorials to help students develop critical awareness of the conceptual basis of various methods, their advantages and limitations. Topics may change from year to year depending on staff availability but include: diary methods and experience sampling, eye tracking, EEG methods, fMRI, questionnaire design and behavioural genetics. This module will help in the integration of knowledge from different strands of Psychology, and how to think analytically, critically and logically. It will provide essential preparation for being able to critically evaluate scientific literature from broad fields of psychology. It will also enhance students' transferable skills in critical thinking, and skills necessary to present logically structured arguments.30 credits
- Intermediate Multivariate Statistics for Psychology
This module covers the intermediate level statistical techniques needed in psychology. Lectures will be used to teach the rationale behind hypothesis testing and describe the principles behind techniques such as linear regression, including testing for mediation and moderation, reliability analysis and factor analysis. Students will also attend practical classes in order to apply and develop their knowledge with respect to selecting the appropriate analytic technique, interpreting output, and applying critical thinking to the results.15 credits
- Advanced Statistical Methods for Psychologists
This module covers advanced statistical techniques increasingly required in psychological research, specifically confirmatory factor analysis, structural equation modelling, multilevel modelling for both cross-sectional and longitudinal data, and generalised linear models. Lectures will be used to teach the rationale and principles behind these techniques, with practical sessions offering the opportunity to apply and develop students' knowledge. The course will use the statistical environment R.15 credits
- Systematically Reviewing Psychological Research
This module provides training in the advanced use of information retrieval and literature searching resources, such as Web of Knowledge and Google Scholar. Students will also be introduced to the different types of literature reviews that are commonly used to review psychological research, including narrative, systematic and meta-analytic reviews. In addition, students will be taught the use of a reference manager to organise and present references according to different journal styles. Students will be required to write a literature review of psychological research - the precise topic and journal styles will be agreed with the supervisor and module organiser.30 credits
- Professional Skills for Psychologists
This module will provide training in a range of professional research skills including (a) understanding and critically discussing ethical issues related to psychological research, interpreting professional codes of practice, and understanding the work of ethical committees and professional discipline committees; (b) writing grant proposals and understanding the submission criteria and review processes for papers and grant proposals; (c) understanding issues of reproducibility of research and open science practices addressing them; and (d) understanding processes of dissemination to academic and non-academic audiences.30 credits
The content of our courses is reviewed annually to make sure it's 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. We are no longer offering unrestricted module choice. If your course included unrestricted modules, your department will provide a list of modules from their own and other subject areas that you can choose from.
An open day gives you the best opportunity to hear first-hand from our current students and staff about our courses. You'll find out what makes us special.
- 1 year full-time
- 2 years part-time
You’ll learn through small-group teaching in a mixture of seminars, workshops and one-to-one supervision.
All assessment is coursework-based.
Previous graduates have gone on to PhD training with an advanced quantitative dimension in neuroimaging, health psychology and social psychology. Others have found employment in the higher education, health or charity sectors with job roles such as:
- Graduate Statistical Analyst or Programme Analyst in Higher Education.
- Psychological Wellbeing Practitioner, Assistant Psychologist or Research Assistant in NHS trusts or other public health organisations.
- Psychological Researcher or Lecturer in academia.
The statistical programming skills I developed during my masters have proven extremely beneficial for my PhD
PhD student, MSc Psychological Research Methods with Advanced Statistics
A 2:1 honours degree, or equivalent, in psychology or a related discipline.
Evidence of undergraduate training in statistics for psychology is also required.
Overall IELTS score of 6.5 with 6.0 in each component, or equivalent.
If you have any questions about entry requirements, please contact the department.
Fees and funding
You can apply for postgraduate study using our Postgraduate Online Application Form. It's a quick and easy process.
+44 114 222 6533
Any supervisors and research areas listed are indicative and may change before the start of the course.
Recognition of professional qualifications: from 1 January 2021, in order to have any UK professional qualifications recognised for work in an EU country across a number of regulated and other professions you need to apply to the host country for recognition. Read information from the UK government and the EU Regulated Professions Database.