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SPSS 15.0 Statistical Procedures Companion
ISBN-10: 0131594176
ISBN-13: 9780131594173
Publisher: Prentice Hall
Copyright: 2007
Format: Paper; 632 pp
Published: 12/14/2006
This item has been replaced by SPSS 16.0 Statistical Procedures Companion, 2/E.
See the SPSS 15.0 Advanced Statistical Procedures Companion for statistical introductions to some of the more advanced procedures in SPSS, including loglinear and logit analysis for categorical data, multinomial, two-stage and weighted least-squares regression, Generalized Estimating Equations, Generalized Linear Model, Kaplan-Meier, actuarial and Cox models for analysis of time-to-event data, variance components analysis, and ALSCAL.
Whether you are just getting started with statistics or moving into more advanced analyses, this book will help you get the most out of your time and your data and exploit the power of the SPSS system. Here’s what you’ll find:
· An introduction to the SPSS system, with an emphasis on how to prepare data for analysis
· Practical discussions of the statistical background for each of the statistical procedures
· Detailed examples from diverse areas, including psychology, sociology, education, archaeology, medicine, library science, nursing, and journalism
· Numerous tips and warnings to help you work efficiently and avoid common pitfalls
· A CD-ROM containing many of the data sets used in the book
Coverage of statistics starts with the basics and extends to the most powerful modeling procedures, showing you how to:
· Analyze data using simple statistical procedures (descriptive statistics, comparisons of means, correlation, bivariate regression, and nonparametric tests)
· Employ more complex statistical procedures (multiple regression, factor analysis, discriminant analysis, logistic and ordinal regression, cluster analysis, reliability )
· Build models with the general linear model (univariate, multivariate, and repeated measures)
· Analyze categorical data with loglinear models
See the SPSS 15.0 Advanced Statistical Procedures Companion for statistical introductions to some of the more advanced procedures in SPSS, including loglinear and logit analysis for categorical data, multinomial, two-stage and weighted least-squares regression, Generalized Estimating Equations, Generalized Linear Model, Kaplan-Meier, actuarial and Cox models for analysis of time-to-event data, variance components analysis, and ALSCAL.
Chapter on ordinal regression and updates for Release 15 of the SPSS Software.
Contents at a glance:
Preparing data for analysis:
Introduction to SPSS; the data file; defining the data; creating new variables; transforming existing variables; checking data definitions; cleaning dataDescribing data:
Tables; graphs; OLAP cubes; measures of central tendency and dispersion; standard scores; the normal distribution; measures of associationTesting simple hypotheses:
Basics of hypothesis testing; t-tests; oneway analysis of variance; multiple comparisons; nonparametric tests; chi square tests; correlation; partial correlationBuilding models:
Bivariate and multiple linear regression; loglinear models; discriminant analysis; binary logistic regression; ordinal regression, factor analysis; cluster analysisUsing the General Linear Model:
Univariate models; multivariate models; repeated measuresAnalyzing scales:
Reliability 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."
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©2004 | Prentice Hall | Electronic Supplement | Instock
ISBN-10: 0321267354 |
ISBN-13: 9780321267351
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