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Introduction to Analysis of Variance resources

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01. Case Study Videos (1)

Resource type Case Study Using Analysis of Variance
In this case study video, Analysis of Variance (ANOVA) is used to assess whether average student rent difffers by type of accommodation. The video was scripted by John Marriott (Royal Statistical Society Centre for Statistical Education) and presented by Dr Alun Owen (Loughborough University) and Steve Joiner and Nick Blenkin (both Coventry University). There is also an accompanying video resource listed with this case study which looks at the Problem Solving Approach (PSA) that should be used to handle this type of problem.

02. Video Tutorials (1)

Resource type One-Way ANOVA in SPSS
A short video tutorial to demonstrate how to perform a the one-way ANOVA procedure using SPSS. This resource has been made available under a Creative Commons licence by Kristian Evans, Swansea University.

03. Teach Yourself Worksheets (2)

Resource type Analysis of Variance ANOVA (Worksheet)
Analysis of Variance (ANOVA) is used to test a hypothesis of differences between the means of three or more groups. This teach yourself worksheet provides an introduction to Analysis of Variance including how to do this using SPSS.
Resource type Introduction to Hypothesis Testing (Worksheet)
This teach yourself worksheet provides an overview of the framework used in hypothesis (significance) testing.

07. Community Project (6)

Resource type 10 ANOVA (Workshop) SOURCE
This PowerPoint is a workshop on ANOVA. 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.
Resource type ANOVA SOURCE
A Quick Reference worksheet on one-way analysis of variance. 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 ANOVA: Additional information SOURCE
A Quick Reference worksheet on additional information on the one-way ANOVA method. 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 Paired t-test in R
This self-help resource provides an overview of paired t-tests in R, used to compare means of data from two related samples, such as observations before and after an intervention on the same participant, comparisons of measurements from the same participant for two different conditions. This resource has been made available under a Creative Commons licence by Sofia Maria Karadimitriou and Ellen Marshall, University of Sheffield.
Resource type Paired t-test in R (SOURCE)
This self-help resource provides an overview of paired t-tests in R, used to compare means of data from two related samples, such as observations before and after an intervention on the same participant, comparisons of measurements from the same participant for two different conditions. This resource has been made available under a Creative Commons licence by Sofia Maria Karadimitriou and Ellen Marshall, University of Sheffield.
Resource type Repeated measures in R (SOURCE)
This self-help resource provides an overview of repeated measures in R, used when several measurements of the same dependent variable are taken at different time points or under different conditions. This resource has been made available under a Creative Commons licence by Sofia Maria Karadimitriou and Ellen Marshall, University of Sheffield.

08. Staff Resources (7)

Resource type 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).
Resource type 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).
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 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 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 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 Ć¢??Video Based Statistics Tutor Training: Porosity ScenarioĆ¢??. 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).

10. Workshops (1)

Resource type 10 ANOVA (Workshop)
This PowerPoint is a workshop on ANOVA. 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 (2)

Resource type ANOVA
A Quick Reference worksheet on one-way analysis of variance. 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 ANOVA: Additional information
Quick Reference worksheet on additional information on the one-way ANOVA method. 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.

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