Library Subject Guides
Resources and workshops covering different aspects of planning to analyse your data and choosing an appropriate statistical test.
Please contact maths-skills-centre
This session is for people who are going to analyse quantitative data for a research project, dissertation or thesis. You will learn how to create a data analysis plan which is a helpful tool (similar to a recipe) for managing and analysing your data.
Planning for data analysis slides
Make a copy of the slides used in the workshop for your own note keeping.
Example of a data analysis plan for a comparative research question
An example of a data analysis plan for a research question looking to compare if students from different faculties have different opinions of the wildlife on campus in the morning to in the afternoon.
Example of a data analysis plan for a relationship-based research question
An example of a data analysis plan for a research question looking to assess the relationship between age and the opinion of wildlife on campus.
This workshop introduces the RStudio interface and gets you started with importing, managing and plotting data. You don't need to have done any coding before!
Choosing Which Statistical Test slides
Make a copy of the slides used in the workshop for your own note keeping.
Resources for people who have collected and will be analysing quantitative questionnaire data. Covering the types of data produced by different question types, how to summarise and graph responses and ideas for how to analyse data.
Managing and analysing questionnaire data slides
Make a copy of the slides used in the workshop for your own note keeping.
Make a copy of the data set to use during the workshop produced by the questionnaire linked below.
An example questionnaire looking into students attitudes towards the wild life on campus. Please feel free to submit a response. Any submitted responses may be kept for use in the workshop data set. All data is fully anonymised. Feel free to submit a nonsense response (answers that don't reflect your own attitudes).