• http://www.ats.ucla.edu/stat/
  An invaluable collection of resources relevant to students of statistics, including links to journal articles, guidelines for choosing statistical analysis and examples of data analysis.
  Includes guides to SPSS, SAS, Stata and R.
• http://www.numberwatch.co.uk/
  This amusing site demonstrates how the use of statistics and presentation of numbers can be misleading.
• http://my.execpc.com/~helberg/pitfalls/
  An article on the pitfalls of data analysis.
• http://jeromyanglim.blogspot.com/
  A blog about data analysis in the social sciences.
• http://www.statsmakemecry.com/
  Information for students about statistics and issues in research.

Online tools for analysis

• http://www.brightstat.com/
  Free online tool for statistical analysis.
• http://www.stat.duke.edu/sites/java.html
  A collection of Java applets – including statistical analysis tools, and interactive examples for learning.
• http://faculty.vassar.edu/lowry/VassarStats.html
  VassarStats website for Statistical Computation provides a range of online tools for analysing data, with useful notes on each type of test.
• http://www.assumption.edu/users/avadum/applets/applets.html
  Statistical applications for online computation of statistics, including standard deviations, percentiles, means, t tests, and random sampling and assignment.
• http://www.dkstatisticalconsulting.com/statistics-resources/
  Information on Pearson's r, Chi-Square, t-tests, and ANOVA.
  The page also hosts Excel templates which are designed to calculate these statistical tests step-by-step, allowing students who need to calculate these tests by hand to check their work.
• http://www.graphpad.com/articles/interpret/principles/stat_principles.htm
  A guide to analyzing data and interpreting various statistical tests.

SPSS

• http://www.spss.com/
  Information on SPSS.
• http://calcnet.mth.cmich.edu/org/spss/toc.htm
  SPSS online training workshop.
• http://calcnet.mth.cmich.edu/org/spss/index.htm
  A useful aid to understanding how to run statistical procedures using SPSS for Windows. There are some very informative tutorials and activities on this site, including demonstrations of how to run analyses.

R

• http://www.r-project.org/
  The R website, with links to download and extensive information and guidelines.
• http://www.rstudio.org/
  RStudio website.
• http://google-styleguide.googlecode.com/svn/trunk/google-r-style.html
  Google’s R style guide aims to make R code easier to read and use.