A Handbook of Statistical Analyses Using SPSS

Brian S. Everitt, Sabine Landau

354 pages, parution le 06/01/2004

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Résumé

Provides a concise, straightforward guide to using SPSS to conduct a range of statistical analyses
Focuses on the effective use of SPSS and on correctly interpreting the results
Includes in each chapter a description of the data, an overview of the analytical technique, instructions for using SPSS to perform the analysis, and exercises
Offers a companion Web site from which all the datasets described in the book are available to download: www.iop.kcl.ac.uk/iop/Departments/BioComp/SPSSbook.shtml

SPSS. Powerful, user-friendly, and useful, particularly in psychology, sociology, psychiatry, and other social sciences. But to fully exploit its capabilities and effectively execute its wide range of procedures, users need detailed, to-the-point guidance that other resources lack.

A Handbook of Statistical Analyses Using SPSS clearly and concisely describes how to conduct univariate and multivariate statistical analyses using the latest release of SPSS, version 11. Each chapter addresses a different type of analytical procedure and applies it to real data sets, primarily, though not exclusively, from the social and behavioral sciences. The authors briefly review the theoretical background of many of the techniques, but they set that material apart in boxes so that the presentation of the various analyses proceeds without interruption.

Each chapter ends with exercises, some related to the data sets introduced in that chapter, others introducing additional data sets. These data sets and answers to most of the exercises are available for download at www.iop.kcl.ac.uk/iop/departments/BioComp/SPSSBook.shtml.

If you're a relative newcomer to performing statistical analyses, a new user of SPSS, or a veteran on both fronts, A Handbook of Statistical Analyses Using SPSS will be a welcome addition to your library. Researchers and students alike will find this a convenient, self-contained route to using SPSS for effective data analysis.

L'auteur - Brian S. Everitt

Brian Everitt is Emeritus Professor of Statistics, King's College, London.

L'auteur - Sabine Landau

Institute of Psychiatry, London, England, United Kingdom

Sommaire

Brief introduction to spss
Data description and simple inference for continuous data: the lifespans of rats and ages at marriage in the usa
Simple inference for categorical data: from belief in the afterlife to the death penalty and race
Multiple linear regression: temperatures in america and cleaning cars
Analysis of variance i: one-way designs: fecundity of fruit flies, finger tapping, and female social skills
Analysis of variance ii: factorial designs: does marijuana slow you down? And do slimming clinics work?
Analysis of repeated measures i: analysis of variance type models: field dependence and a reverse stroop task
Analysis of repeated measures ii: linear mixed effects models: computer delivery of cognitive behavioral therapy
Logistic regression: who survived the sinking of the titanic?
Survival analysis: sexual milestones in women and field dependency of children
Principal components analysis and factor analysis: crime in the usa and aids patient's evaluations of their clinicians
Classification: cluster analysis and discriminant function analysis: tibetan skulls
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Caractéristiques techniques

	PAPIER
Éditeur(s)	Chapman and Hall / CRC
Auteur(s)	Brian S. Everitt, Sabine Landau
Parution	06/01/2004
Nb. de pages	354
Format	15 x 23
Couverture	Broché
Poids	515g
Intérieur	Noir et Blanc
EAN13	9781584883692
ISBN13	978-1-58488-369-2