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SPSS 15.0 Statistical Procedures Companion - Marija Norusis

SPSS 15.0 Statistical Procedures Companion

Marija Norusis (Autor)

Media-Kombination
632 Seiten
2007
Pearson
978-0-13-159417-3 (ISBN)
CHF 102,95 inkl. MwSt
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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.

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: 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

Erscheint lt. Verlag 17.5.2007
Sprache englisch
Maße 191 x 227 mm
Gewicht 940 g
Themenwelt Mathematik / Informatik Mathematik Computerprogramme / Computeralgebra
ISBN-10 0-13-159417-6 / 0131594176
ISBN-13 978-0-13-159417-3 / 9780131594173
Zustand Neuware
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