SPSS 16.0 Guide to Data Analysis

Marija Norušis earned a Ph.D. in biostatistics from the University of Michigan. She was SPSS's first professional statistician. McGraw-Hill published her first book, The SPSS Introductory Guide. Since then she has written numerous volumes of highly acclaimed SPSS documentation, and textbooks that demystify statistics and SPSS. Dr. Norušis has been on the faculties of the University of Chicago and Rush Medical College, teaching statistics to diverse audiences. When not working on SPSS guides, Marija analyzes real data as a statistical consultant. For those whose Lithuanian is rusty: "Marija" is pronounced "Maria," not "Mar-eye-ja." "Norušis" is pronounced "Norooshis," not "Neurosis."

Contents at a glance: Part 1   Getting started with SPSS:

Setting up a data file; using the online tutorial and Help system; evaluating strategies for acquiring data



Part 2   Describing Data:

Histograms, bar charts, stem and leaf plots, boxplots; scatterplots; tables and summary statistics



Part 3   Testing Hypotheses:

One sample t-test; paired and two sample t-tests; oneway and twoway analysis of variance; chi-square tests; nonparametric tests



Part 4   Examining Relationships:

Measures of association; linear regression and correlation; multiple regression; examining residuals and other diagnostics



Appendices

Include detailed instructions for producing charts with SPSS, and a thorough overview of the facilities for transforming and selecting data prior to analysis.