This PowerPoint workshop provides an introduction to SPSS. 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 an associated data file, the source file and the associated statstutor metadata spreadsheet.

This PowerPoint workshop provides an introduction to parametric testing using SPSS. 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 an associated data file, the source file and the associated statstutor metadata spreadsheet.

This PowerPoint workshop provides an introduction to nonparametric testing. 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 two associated data files, the source file and the associated statstutor metadata spreadsheet.

A Guide to SPSS for Information Science with tutorials funded by the Subject Centre for Information and Computer Sciences (Higher Education Academy) made available to statstutor by Prof Anne Morris, Loughborough University. This Guide is freely available for use (with acknowledgement) in non-commercial UK organisations.

These DEWIS Learning Modules are concerned with the application of SPSS to the appropriate one sample location test of a data set; t-test, Wilcoxon signed-rank test or Binomial (Sign) test. You may choose examples from a variety of scenarios across a range of disciplines. The accompanying notes (http://dewisprod.uwe.ac.uk/projects/sigma/PDF/DEWIS_intro.pdf) describe the process of initially exploring your data and then identifying the recommended test. You may choose to complete these modules in the natural order of an analysis, but you may also attempt modules independently in any order if desired. You are not restricted either to only performing the recommended appropriate test, however you will be told at the beginning of a test module whether it is the recommended test or not. You will be given a data set to download which has a reference number. You can log out of DEWIS and return at a later date to complete modules after telling DEWIS the reference number of the data set you wish to be tested on. Each data set is generated randomly and thus you can have multiple attempts at the same scenario with a variety of data sets that will cover the various experiences that you will encounter when analysing data; i.e. data that is appropriate for any one of the three tests and that may or may not have a significant effect. It is recommended that before you use the e-Assessments you download the accompanying notes (http://dewisprod.uwe.ac.uk/projects/sigma/PDF/DEWIS_intro.pdf) and watch this video (http://dewisprod.uwe.ac.uk/projects/sigma/DEWISdemo/DEWISdemo.htm) that demonstrates the use of the learning modules. In particular please note that the e-Assessment marks to the accuracy that SPSS outputs various summary statistics when the data is displayed in the Data View to the recorded accuracy. Click here (http://dewisprod.uwe.ac.uk/projects/sigma-stats.html) to access DEWIS. The feedback within DEWIS provides links to videos and pdf instruction pamphlets. These are also available as stand-alone resources from here (http://dewisprod.uwe.ac.uk/projects/sigma/info/index.html). These resources have been made available under a Creative Commons licence by Iain Weir, Rhys Gwynllyw & Karen Henderson, University of the West of England, Bristol and reviewed by Nadarajah Ramesh, University of Greenwich following a sigma Resource Development Grant.

Transcripts for the videos included in the suite of statistics e-Assessment resources. These DEWIS Learning Modules are concerned with the application of SPSS to the appropriate one sample location test of a data set; t-test, Wilcoxon signed-rank test or Binomial (Sign) test. You may choose examples from a variety of scenarios across a range of disciplines. These resources have been made available under a Creative Commons licence by Iain Weir, Rhys Gwynllyw & Karen Henderson, University of the West of England, Bristol and reviewed by Nadarajah Ramesh, University of Greenwich.

How to use SPSS to create a bar or line chart of means, 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.

This video explains how to change the coding of a categorical variable in SPSS using the 'Recode into same variable' option. This replaces the existing data with the new coding rather than creating a new variable. This resource is contributed to the statstutor Community project by Christine Pereira, Brunel University and reviewed by Vikki O'Neill, Queen's University Belfast.

How to use SPSS to compute a chi-square test for 2-way tables and interpret the output when assumptions have been violated (use Fisher's exact or Likelihood ratio instead). Includes choosing a coefficient, effect size 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.

This yourself worksheet provides an introduction to undertaking chi-sqaured tests of associaton for a two-way contingency table using SPSS. Note that the SPSS data set colours.sav referred to in the worksheet is also available here.

Cluster Analysis is a multivariate technique aimed at determining groups of similar objects. This teach yourself worksheet gives a very brief introduction to Cluster Analysis and how to perform this using SPSS. This includes some useful references at the end.

This video explains how to compute a new variable which is the mean of 2 or more variables combined. This resource is contributed to the statstutor Community project by Christine Pereira, Brunel University and reviewed by Vikki O'Neill, Queen's University Belfast.

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.