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A handy quick guide to statistical tests and techniques for those providing statistics support. This covers when to use each technique along with the interpretation of results, checking assumptions and what to do if the assumptions are not met. This was developed by the MASH Centre at the University of Sheffield and contributed to the statstutor Community Project by Ellen Marshall (University of Sheffield) and Alun Owen (University of Worcester) and reviewed by Jean Russell and Nick Fieller, (University of Sheffield).

How to use 'Split file' to analyse groups separately in SPSS. By using the Split file tool, SPSS will analyse groups of a categorical variable separately. E.g. split your file by gender to analyse males and females separately. This will not physically split your file - all your data stays in the same place. This resource from the "SPSS Tutorial Series" is contributed to the statstutor Community project by Christine Pereira, Brunel University and reviewed by Tim Sparks, Coventry University. It was developed with sigma resource development funding.

This short video is aimed at statistics tutors and provides an illustration of how not to provide statistics support. This was developed and contributed to the statstutor Community Project by Alun Owen (University of Worcester) and Ellen Marshall and Scott Smith (University of Sheffield) and reviewed by Jean Russell (University of Sheffield).

This is a written transcript file for the short video entitled "Video Based Statistics Tutor Training Do's and Don'ts: Careful with the maths!". This was developed and contributed to the statstutor Community Project by Alun Owen (University of Worcester) and Ellen Marshall and Scott Smith (University of Sheffield) and reviewed by Jean Russell (University of Sheffield).

This short video is aimed at statistics tutors and provides an illustration of good and bad practice in providing statistics support when the tutor is asked about an unfamiliar technique. This was developed and contributed to the statstutor Community Project by Alun Owen (University of Worcester) and Ellen Marshall and Scott Smith (University of Sheffield) and reviewed by Jean Russell (University of Sheffield).

This is a written transcript file for the short video entitled “Video Based Statistics Tutor Training Do's and Don'ts: Conjoint Analysis”. This was developed and contributed to the statstutor Community Project by Alun Owen (University of Worcester) and Ellen Marshall and Scott Smith (University of Sheffield) and reviewed by Jean Russell (University of Sheffield).

This scenario-based training video is aimed at statistics tutors and intersperses a recorded statistics support session with discussion points, questions and issues to consider. This was developed and contributed to the statstutor Community Project by Alun Owen (University of Worcester) and Ellen Marshall and Scott Smith (University of Sheffield) and reviewed by Jean Russell (University of Sheffield).

This is a written transcript file for the scenario-based training video entitled "Video Based Statistics Tutor Training: Mass Customisation Scenario". This was developed and contributed to the statstutor Community Project by Alun Owen (University of Worcester) and Ellen Marshall and Scott Smith (University of Sheffield) and reviewed by Jean Russell (University of Sheffield).

This scenario-based training video is aimed at statistics tutors and intersperses a recorded statistics support session with discussion points, questions and issues to consider. This was developed and contributed to the statstutor Community Project by Alun Owen (University of Worcester) and Ellen Marshall and Scott Smith (University of Sheffield) and reviewed by Jean Russell (University of Sheffield).

This is a written transcript file for the scenario-based training video entitled â??Video Based Statistics Tutor Training: Porosity Scenarioâ??. This was developed and contributed to the statstutor Community Project by Alun Owen (University of Worcester) and Ellen Marshall and Scott Smith (University of Sheffield) and reviewed by Jean Russell (University of Sheffield).