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SPSS (Statistical package for the Social Sciences) is a user friendly statistical program for analyzing data. SPSS can take data and generate tabulated reports, charts, and plots of distributions and trends, descriptive statistics, and complex analyses. statistical analysis.



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Availability at Cornell public computing facilities

Recommended reading:

  • SPSS for Starters , by Ton J. M. Celophas. Each test is explained using a data example from clinical practice, including every step in SPSS and the main tables of results with an accompanying text with interpretations of the results and hints convenient for data reporting, i.e., scientific clinical articles and poster presentations.. In order to facilitate the use of this cookbook the data files of the examples are made available by the publisher on the Internet.
  • SPSS for Starters, pt. 2 , by Ton J. M. Celophas. The current part 2 of this title reviews multistep methods, multivariate models, assessments of missing data, performance of diagnostic tests, meta-regression, Poisson regression, confounding and interaction, and survival analyses using log tests and more.
  • Discovering Statistics using IMB SPSS Statistics , by Andy P. Field. The book discusses a range of topics from correlation, t-test and regression, to ANOVA, repeated-measures designs, and multilevel linear models.


The University of Texas at Austin has an SPSS Online tutorial with five modules

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