SPSS 15.0 Statistical Procedures Companion
Published on 17. May 2007
Book
Mixed media product
632 pages
978-0-13-159417-3 (ISBN)
Description
You have all of the essential components: software with enough options to make a whirling dervish take pause; a data set of questionable virtue cast in a starring role; and a plot waiting to unfold. Directing this production to a satisfying conclusion isn't easy. The goal of the SPSS 15.0 Statistical Procedures Companion is to point you in the right direction.
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.
For additional information, go to This site offers a detailed Table of Contents, features, examples included in the book, and a sample chapter for download.
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.
For additional information, go to This site offers a detailed Table of Contents, features, examples included in the book, and a sample chapter for download.
More details
Language
English
Place of publication
United States
Publishing group
Pearson Education (US)
Target group
Professional and scholarly
Dimensions
Height: 227 mm
Width: 191 mm
Thickness: 26 mm
Weight
940 gr
ISBN-13
978-0-13-159417-3 (9780131594173)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
New editions
Marija Norusis
SPSS 16.0 Statistical Procedures Companion
Book
02/2008
2nd Edition
Pearson
€52.07
Article is exhausted; no reprint
Previous edition
Marija Norusis
SPSS 14.0 Statistical Procedures Companion
Book
01/2005
Pearson
€49.59
Article exhausted; check for reprint
Person
Marija Norusis 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. Norusis 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."
"Norusis" is pronounced "Norooshis," not "Neurosis."
For those whose Lithuanian is rusty:
"Marija" is pronounced "Maria," not "Mar-eye-ja."
"Norusis" is pronounced "Norooshis," not "Neurosis."
Content
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 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
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