Search
Search results
Your search returned 174 results

How to create a crosstab table in SPSS with 2 or more variables. 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.

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).

How to use the SPSS chart editor to adjust the size, colours, labels, etc. on your chart. This example uses a clustered bar chart. This resource from the "SPSS Tutorial Series" is contributed to the statstutor Community project by Christine Pereira, Brunel University and reviewed by David Bowers, Independent consultant in mathematics, statistics and learning development. It was developed with sigma resource development funding.

How to use the SPSS chart editor to adjust the size, colours, labels, etc. on your chart. This example uses a scatterplot. This resource from the "SPSS Tutorial Series" is contributed to the statstutor Community project by Christine Pereira, Brunel University and reviewed by David Bowers, Independent consultant in mathematics, statistics and learning development. It was developed with sigma resource development funding.

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).

Using SPSS, enter data from a questionnaire in which respondents can choose more than one option for a question. For example, 'tick all that apply'. This "Getting started with SPSS" resource is contributed to the statstutor Community project by Christine Pereira, Brunel University and reviewed by Kate Richards, MEI.

This teach yourself worksheet explains how to estimate the mean from a grouped frequency table. For example, in a survey you may have asked participants to indicate an age range rather than asking their actual age.

This teach yourself worksheet explains how to estimate the POPULATION variance and standard deviation from grouped frequency data. For example, in a survey you may have asked participants to indicate an age range rather than asking their actual age. Note: this worksheet uses a divisor of "n" which assumes you have data on every member of the population. If you only have a sample then use the divisor "n-1" instead.

Factor Analysis is a multivariate technique aimed at reducing a set of variables to a number of factors or constructs. This teach yourself worksheet gives a very brief introduction to Factor Analysis 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 3) in SPSS has now been changed to "Analyze" --> "Dimension Reduction"

How to format tables in an SPSS output file. 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.

This teach yourself unit explains how to tabulate and present categorical data in the form of frequency tables and contingency tables and motivates the need to consider row and column percentages which are considered in part 2. This resource was developed by John Flynn (previously of Lincoln University). statstutor also acknowledges permission by Dr Doug Stirling (Massey University) to use material from the CAST collection of e-books in Statistics.

This teach yourself unit considers how to interpret row and column percentages from contingency tables (see part 1). This resource was developed by John Flynn (previously of Lincoln University). statstutor also acknowledges permission by Dr Doug Stirling (Massey University) to use material from the CAST collection of e-books in Statistics.

This is one of four "Getting started with ..." developed by Cheryl Voake-Jones and Emma Cliffe from the Mathematics Resources Centre at the University of Bath covering data handling in SPSS. The resource includes an audio tutorial with transcript and associated files. These resources were developed with funding from sigma.

This is one of four "Getting started with ..." developed by Cheryl Voake-Jones and Emma Cliffe from the Mathematics Resources Centre at the University of Bath covering equations in Microsoft Excel. The resource includes an audio tutorial with transcript and associated files. These resources were developed with funding from sigma.

How to use SPSS to create a grouped scatterplot and add separate trend lines for each group (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.

This teach yourself worksheet explains the easiest way to use SPSS to undertake an analysis for a subset of cases, or separate analyses for a number of different subsets (subgroups) separately.

How to interpret output from a Cronbach's alpha in SPSS. This resource from the "SPSS Tutorial Series" is contributed to the statstutor Community project by Christine Pereira, Brunel University and reviewed by Paul Wilson, University of Wolverhampton. It was developed with sigma resource development funding.

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.

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.

How to interpret row, column and total percentages in a crosstabs table created in SPSS. 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.

This teach yourself worksheet provides an overview of the framework used in hypothesis (significance) testing.

This teach yourself worksheet iprovides an introduction to determining the sample size, and explains how this is related to power and/or precision in a study.

Self-help resource providing an overview of statistics techniques for medical applications.

Self-help resource providing an overview of statistics techniques for medical applications. This resource is focused on the 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 is focused on diagnostic tests.
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 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.