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Correlation resources

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02. Video Tutorials (4)

Compute Pearson's r correlation using SPSS
How to use SPSS to compute Pearson's r correlation coefficient and corresponding p-value. This resource from the "SPSS Tutorial Series" is contributed to the statstutor Community project by Christine Pereira, Brunel University and reviewed by Cheryl Voake-Jones, University of Bath. It was developed with sigma resource development funding.
Compute Spearman's rho correlation using SPSS
How to use SPSS to compute Spearman's rho correlation coefficient and corresponding p-value. This resource from the "SPSS Tutorial Series" is contributed to the statstutor Community project by Christine Pereira, Brunel University and reviewed by Cheryl Voake-Jones, University of Bath. It was developed with sigma resource development funding.
Interpret SPSS output for Pearson's r correlation
How to interpret SPSS output for Pearson's r correlation (includes the correlation coefficient and corresponding p-value). This resource from the "SPSS Tutorial Series" is contributed to the statstutor Community project by Christine Pereira, Brunel University and reviewed by Cheryl Voake-Jones, University of Bath. It was developed with sigma resource development funding.
Interpret SPSS output for Spearman's rho correlation
How to interpret SPSS output for Spearman's rho correlation (includes the correlation coefficient and corresponding p-value). This resource from the "SPSS Tutorial Series" is contributed to the statstutor Community project by Christine Pereira, Brunel University and reviewed by Cheryl Voake-Jones, University of Bath. It was developed with sigma resource development funding.

04. Tests and Quizzes (1)

Correlation - Numbas
Statistics and probability. Questions asking student to calculate and interpret Pearson and Spearman correlation coefficients. Numbas resources have been made available under a Creative Commons licence by Bill Foster and Christain Perfect, School of Mathematics & Statistics at Newcastle University.

07. Community Project (2)

11 Simple linear regression (Workshop) SOURCE
This PowerPoint is a workshop on Pearson Correlation and Simple Linear Regression. This resource has been contributed to the statstutor Community Project by 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 four associated data files, the source file and the associated statstutor metadata spreadsheet.
Pearson Correlation SOURCE
A Quick Reference worksheet on Pearson Correlation. 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.

08. Staff Resources (6)

Data for SPSS Workbook for New Statistics Tutors (Excel file)
Data sets for the self-study training resource for new statistics tutors entitled "SPSS Workbook for New Statistics Tutors". These were developed by Ellen Marshall (University of Sheffield) and reviewed by Jean Russell (University of Sheffield).
Emissions Scenario Role Play
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).
Introductory Statistics and Hypothesis Testing (PowerPoint Workshop)
These slides are aimed to be used in a workshop to train mathematics (or new statistics) tutors who need to provide statistics support. They cover key topics including hypothesis testing and choosing the right test. These slides were developed and contributed to the statstutor Community Project by Alun Owen (University of Worcester) and Ellen Marshall (University of Sheffield) and reviewed by Ruth Fairclough (University of Wolverhampton).
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).
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).
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).

10. Workshops (1)

11 Simple linear regression (Workshop)
This PowerPoint is a workshop on Pearson Correlation and Simple Linear Regression. This resource has been contributed to the statstutor Community Project by Peter Samuels, Birmingham City University and reviewed by Ellen Marshall, University of Sheffield. The zip file contains four associated data files.

11. Quick reference worksheet (1)

Pearson Correlation
A Quick Reference worksheet on Pearson Correlation. 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.