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Resource type Simple Linear Regression (Worksheet 2)
Using an example on calcium intake, this teach yourself worksheet introduces simple linear regression and how to fit and interpret Linear Regression models using SPSS. Note that the SPSS data set calcium.sav referred to in the worksheet is also available here.
Resource type Simple Linear Regression Assumptions and Predictions (Worksheet)
This teach yourself worksheet looks at the assumptions underlying simple linear regression, and how to obtain confidence intervals and prediction intervals using SPSS.
Resource type Solutions for SPSS Workbook for New Statistics Tutors
Solutions to the self-study training resource for new statistics tutors entitled "SPSS Workbook for New Statistics Tutors". These were developed and contributed to the statstutor Community Project by Ellen Marshall (University of Sheffield) and reviewed by Jean Russell (University of Sheffield).
Resource type Spearman's Rank Correlation- Introduction
A written explanation of Spearman's Correlation using the same examples as those used in the Video Tutorial available at this site. This resource was contributed by Dr Iain Weir of the University of the West of England.
Resource type SPSS Workbook for New Statistics Tutors
This is a paper-based scenario aimed to be used as part of the tutor training workshop using the resource entitled "Introductory Statistics and Hypothesis Testing". This was developed and contributed to the statstutor Community Project by Alun Owen (University of Worcester) and Ellen Marshall (University of Sheffield) and reviewed by Jean Russell (University of Sheffield).
Resource type SPSS Workbook for New Statistics Tutors (SOURCE)
A zip file containing the word documents and data file for the "SPSS Workbook for New Statistics Tutors". The workbook and associated files provide self-study training for tutors to carry out key topics in SPSS but assumes the new tutor is able to interpret the output. This was contributed to the statstutor Community Project by Ellen Marshall (University of Sheffield) and reviewed by Jean Russell (University of Sheffield). The solutions and datasets needed are contained in the resources entitled “Solutions to SPSS Workbook for New Statistics Tutors” and “Data for SPSS Workbook for New Statistics Tutors”.
Resource type Statistical hypothesis testing
A Quick Reference worksheet on an introduction to statistical hypothesis testing. This resource has been contributed to the statstutor Community Project by Mollie Gilchrist and Peter Samuels, Birmingham City University and reviewed by Ellen Marshall, University of Sheffield.
Resource type Statistical hypothesis testing SOURCE
A Quick Reference worksheet on an introduction to statistical hypothesis testing. This resource has been contributed to the statstutor Community Project by Mollie Gilchrist and Peter Samuels, Birmingham City University under a Creative Commons licence CC-BY-SA and reviewed by Ellen Marshall, University of Sheffield. The zip file contains the source file and the associated statstutor metadata spreadsheet.
Resource type Statistical Problem Solving Approach
This video introduces an approach to solving a statistical problem we call the Problem Solving Approach (PSA). This is advocated by many teaching statistics as the right way to teach and learn the application of statistics as well as being the most natural way of approaching the analysis of any data. This video was scripted by John Marriott (Royal Statistical Society Centre for Statistical Education) and presented by Dr Alun Owen (Loughborough University).
Resource type The Statistics Glossary
A glossary of statistical terminology administered by Professor John McColl and Professor Adrian Bowman (University of Glasgow). This glossary was developed in 2012 from the popular STEPS Glossary aimed at supporting the work of first-year Statistics courses and courses for non-specialist students developed as part of the STEPS project in the mid-1990s.
Resource type The Statistics Tutor's Quick Guide to Commonly Used Statistical Tests
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).
Resource type The Statistics Tutor's Quick Guide to Commonly Used Statistical Tests
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).
Resource type tutoring in a mathematics support centre - a guide for postgraduate students
This sigma guide is written for postgraduate students working in mathematics and statistics support centres. Chapter 7 offers advice on support statistics.
Resource type Two-Way Analysis of Variance (Worksheet)
This teach yourself worksheet looks at the use of Analysis of Variance when you have two factors (categorical grouping variables). This also includes infomation on how to do this using SPSS. Note that the SPSS data set battery.sav referred to in the worksheet is also available here.
Resource type Two-Way Analysis of Variance (Worksheet) Data Set battery.sav
This is a zip file containing the SPSS data set called battery.sav for use with the Two-Way Analysis of Variance Worksheet. Note: please save this file to your PC before extracting its contents.
Resource type Use 'Split file' to analyse groups separately in SPSS
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.
Resource type Video Based Statistics Tutor Training Do's and Don'ts: Careful with the maths!
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).
Resource type Video Based Statistics Tutor Training Do's and Don'ts: Careful with the maths! (TRANSCRIPT)
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).
Resource type Video Based Statistics Tutor Training Do's and Don'ts: Conjoint Analysis
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).
Resource type Video Based Statistics Tutor Training Do's and Don'ts: Conjoint Analysis (TRANSCRIPT)
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).
Resource type Video Based Statistics Tutor Training: Mass Customisation Scenario
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).
Resource type Video Based Statistics Tutor Training: Mass Customisation Scenario (TRANSCRIPT)
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).
Resource type Video Based Statistics Tutor Training: Porosity Scenario
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).
Resource type Video Based Statistics Tutor Training: Porosity Scenario (TRANSCRIPT)
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).

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