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Self-help resource providing an overview of statistics techniques for medical applications. This sheet will briefly explain various terms which arise in medical statistics regularly. This resource has been made available under a Creative Commons licence by Joanne Rothwell, University of Sheffield.

Self-help resource providing an overview of statistics techniques for medical applications.
This resource has been made available under a Creative Commons licence by Ellen Marshall, University of Sheffield.

Self-help resource providing an overview of statistics techniques for medical applications. This sheet aims to provide an overview of the various trial types that can be conducted. This resource has been made available under a Creative Commons licence by Joanne Rothwell, University Sheffield.

4 questions. Qualitative, quantitative random variables, types of sampling, frequencies, stem and leaf plot, descriptive statistics. Numbas resources have been made available under a Creative Commons licence by Bill Foster and Christain Perfect, School of Mathematics & Statistics at Newcastle University.

Multilevel modelling is an approach that can provide advantages over ordinary regression techniques when your data is clustered or grouped, (such as Classes wtihin Schools within Countries). This leaflet gives a very basic introduction to Multilevel niodelling and list some useful resources at the end.

A written introduction to Multiple Linear Regression using the same examples as those used in the Video Tutorial on this topic available at this site. This resource was contributed by Dr Iain Weir of the University of the West of England.

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.

This teach yourself worksheet explains how to open an Excel worksheet as an SPSS dataset, and also how to add value labels to coded data in SPSS.

Three questions on parametric hypothesis testing and confidence intervals, aimed at psychology students. Numbas resources have been made available under a Creative Commons licence by Bill Foster and Christain Perfect, School of Mathematics & Statistics at Newcastle University.

A written explanation of the more commonly used (Pearson) Correlation coefficient using the same examples as those used in the Video Tutorial on this topic available at this site. This resource was contributed by Dr Iain Weir of the University of the West of England.

This zip file contains transcripts for the SPSS contributed to the statstutor Community project by Christine Pereira, Brunel University University in 2014 and 2015.

A Quick Reference worksheet on creating PivotTables in Excel. This resource has been contributed to the statstutor Community Project by Peter Samuels, Birmingham City University and reviewed by Ellen Marshall, University of Sheffield.

A Quick Reference worksheet on creating PivotTables in Excel. 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 the source file and the associated statstutor metadata spreadsheet.

Principal Components Analysis (PCA) is a multivariate technique aimed at reducing the number of variables in your data set so that your new variables (components) are uncorrelated. This teach yourself worksheet gives a very brief introduction to PCA and how to perform this using SPSS. This includes some useful references at the end. Note: The "Analyze" --> "Data Reduction" step in SPSS (see page 2) in SPSS has now been changed to "Analyze" --> "Dimension Reduction"

This teach yourself worksheet explains how to recode data or create codes for a new grouping variable in an SPSS data set.

Repeated measures refers to having more than one measurement on each subject. This leaflet provides a brief overview of the various techniques you should consdeir using if you have repeated measures data. This also lists some useful resources at the end.

How to use SPSS to create a bar or line chart of means with repeated measures data, including how to add error bars and confidence intervals. This resource from the "SPSS Tutorial Series" is contributed to the statstutor Community project by Christine Pereira, Brunel University and reviewed by Ellen Marshall, University of Sheffield. It was developed with sigma resource development funding.

How to use SPSS to create a clustered bar or line chart of means with one repeated measure, including how to add error bars and confidence intervals. It is not possible to create a clustered chart of means with two repeated measures using the chart builder in SPSS. However, you can create a line chart of means for two repeated measures by running a 2-way repeated measures ANOVA. This resource from the "SPSS Tutorial Series" is contributed to the statstutor Community project by Christine Pereira, Brunel University and reviewed by Ellen Marshall, University of Sheffield. It was developed with sigma resource development funding.

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.

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.

How to use SPSS to create a scatterplot and add a trend line (a linear trend line is sometimes referred to as a regression line). This resource from the "SPSS Tutorial Series" is contributed to the statstutor Community project by Christine Pereira, Brunel University and reviewed by Ellen Marshall, University of Sheffield. It was developed with sigma resource development funding.

How to use SPSS to select a random sample of cases to analyse from your data set. This resource from the "SPSS Tutorial Series" is contributed to the statstutor Community project by Christine Pereira, Brunel University and reviewed by Alun Owen, University of Worcester. It was developed with sigma resource development funding.

How to use SPSS to select specific cases (i.e. rows of data) to analyse. This can be individual case selections or groups of cases (e.g. select all males/females, etc.). This resource from the "SPSS Tutorial Series" is contributed to the statstutor Community project by Christine Pereira, Brunel University and reviewed by Alun Owen, University of Worcester. It was developed with sigma resource development funding.

A written introduction to Simple Linear Regression 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.

Using an example on energy consumption, this teach yourself worksheet introduces simple linear regression and how to fit and interpret Linear Regression models using SPSS.

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.