If you’ve studied Chapter 10, Analysing Qualitative Data, you may find these web links to alternative software useful:

• MAXQDA: http://www.maxqda.com/ 

• Transana: http://www.transana.org/ 

• Hyper Research: http://www.researchware.com/products/hyperresearch.html

• Dedoose: http://www.dedoose.com/ 

Below you’ll also find web links to alternatives to SPSS, related to Chapter 13 on Analysing Quantitative Data:

The R Project for Statistical Computing: http://www.r-project.org/

• There is a steep learning curve with R for those not familiar with computer programming or statistics. For an accessible guide to using R in the social sciences, try Andy Field’s book, Discovering Statistics with R: http://www.uk.sagepub.com/books/Book236067

• Coursera also offers a great selection of completely free online courses which use R for basic R programming, try Computing for Data Analysis by Roger D. Peng. For Introductory Statistics using R, try Statistics One from Andrew Conway. https://www.coursera.org/category/stats

            SAS: http://www.sas.com

• For an accessible guide to using SAS in the social sciences, try Andy Field’s book, Discovering Statistics with SAS: http://www.uk.sagepub.com

     STATA -http://www.stata.com/

• For a good guide to using STATA in the social sciences, try Robson and Pevalin, The STATA Survival Manual from Open University Press: http://www.amazon.co.uk/Stata-Survival-Manual-David-Pevalin/dp/0335223885

Minitab: http://www.minitab.com/

• The best guides to using Minitab are probably those provided on the Minitab website: http://www.minitab.com/en-US/training/tutorials/default.aspx?langType=1033

• There are also tutorials produced by lecturers, such as this guide from Dr Tim Zgonc at Thiel College http://www.thiel.edu/mathproject/mintb/Default.htm, and a range of YouTube video lectures on various elements, such as this one on graphing data: http://www.youtube.com/watch?v=nbPziQlvlnU