Sources of Research Methods training and guidance include:

Online courses (register for access first at https://courses.epigeum.com/ using your SHU email address and token 1b54d4f6).  Full information on accessing the training can be found on https://blogs.shu.ac.uk/shard/resources/epigeum-online-training/ 

NB the links below will take you directly to each section of the programme but you need to be logged in to your epiguem account first (you do not need to pay to access these courses).

Research Methods, Second Edition

Research Methods in Practice:  Social Sciences (63 minutes)

Research Methods in Practice:  Arts and Humanities (58 minutes)

Research Methods in Practice:  STEM (60 minutes)

Statistical Methods – Biomedical Sciences / Business / Engineering / Natural Sciences / Social Sciences

  • Introduction – Statistics in the context of research (135 mins)
  • Thinking statistically – Describing data well (105 mins)
  • Thinking statistically – Making good generalisations (115 mins)
  • Which hypothesis test should I use? (108 mins)
  • Statistical modelling (101 mins)
  • Analysis of categorical data (91 mins)
  • Conclusion:  Putting your skills into practice (86 mins)

Individual support and online resources are available for maths and stats via the library skills pages and the maths and stats support service

Specific modules on the MRes Social Sciences programme may be available to you

SAGE Research Methods (log in via institution)  – a large online research methods library including a Methods Map

Research Methods@SHU – a Hallam Guild Group for those involved in the teaching or study of research methods.

UK Data service guides and resources – the UK’s largest collection of social, economic and population data resources. UK Data Service Introductory Training Series: Spring 2021

LinkedIn Learning has expert-led course videos and an app that you can use on your Android or Apple devices. Please refer to the instructions on how to create your account.

Local provision may also be available via your Research Institute PGR team