For additional information, go to<http://www.norusis.com/>  This site offers a detailed Table of Contents, features, examples included in the book, and a sample chapter for download.

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."

Preparing data for analysis:

Introduction to SPSS; the data file; defining the data; creating new variables; transforming existing variables; checking data definitions; cleaning data

Describing data:

Tables; graphs; OLAP cubes; measures of central tendency and dispersion; standard scores; the normal distribution; measures of association

Testing simple hypotheses:

Basics of hypothesis testing; t-tests; oneway analysis of variance; multiple comparisons; nonparametric tests; chi square tests; correlation; partial correlation

Building models:

Bivariate and multiple linear regression; loglinear models; discriminant analysis; binary logistic regression; ordinal regression, factor analysis; cluster analysis

Using the General Linear Model:

Univariate models; multivariate models; repeated measures

Analyzing scales:

Reliability analysis