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Using SPSS for Windows and Macintosh Analyzing and Understanding Data

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ISBN-10: 013146597X

ISBN-13: 9780131465978

Edition: 4th 2005 (Revised)

Authors: Samuel B. Green, Neil J. Salkind

List price: $79.60
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Description:

Will help anyone use SPSS to successfully analyze data, interpret results, and describe findings. This complete introductory guide to SPSS has been thoroughly updated for the software's latest versions: 12.0 for Windows and 11.0 for Macintosh. It has also been revised throughout for greater accessibility, simplicity, and ease of use. The book provides step-by-step walkthroughs of every basic SPSS and statistical technique, along with tips, examples, exercises, and extensive pedagogical support designed to promote rapid learning. Coverage includes: mastering the SPSS interface; creating and working with data files; defining and creating variables; working with data, charts, and output;…    
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Book details

List price: $79.60
Edition: 4th
Copyright year: 2005
Publisher: Prentice Hall PTR
Binding: Paperback
Pages: 480
Size: 8.50" wide x 11.00" long x 0.75" tall
Weight: 2.134
Language: English

Getting started with SPSS
Starting SPSS
The SPSS main menus and toolbar
Using SPSS help
A brief SPSS tour
Creating and working with data files
Defining variables
Entering and editing data
Inserting and deleting cases and variables
Selecting, copying, cutting, and pasting data
Printing and exiting an SPSS data file
Exporting and importing SPSS data
Working with data
Finding values, variables, and cases
Recoding data and computing values
Sorting, transposing, and ranking data
Splitting and merging files
Working with SPSS charts and output for Windows
Creating an SPSS chart
Enhancing SPSS charts
Using the viewer
Working with SPSS charts and output for macintosh
Creating an SPSS chart
Enhancing SPSS charts
Using the viewer
Creating variables and computing descriptive statistics
Creating variables
Univariate descriptive statistics for qualitative variables
Univariate descriptive statistics for quantitative variables
t test procedures
One-sample t test
Paired-samples t test
Independent-samples t test
Univariate and multivariate analysis-of-variance techniques
One-way analysis of variance
Two-way analysis of variance
One-way analysis of covariance
One-way multivariate analysis of variance
One-way repeated-measures analysis of variance
Two-way repeated-measures analysis of variance
Correlation, regression, and discriminant analysis procedures
Pearson product-moment correlation coefficient
Partial correlations
Bivariate linear regression
Multiple linear regression
Discriminant analysis
Scaling procedures
Factor analysis
Internal consistency estimates of reliability
Item analysis using the reliability procedure
Nonparametric procedures
Binomial test
One-sample chi-square test
Two-way contingency table analysis using crosstabs
Two independent-samples test : the Mann-Whitney U test
K independent-samples tests : the Kruskal-Wallis and the median tests
Two related-samples tests : the McNemar, the sign, and the Wilcoxon tests
K related-samples tests : the Friedman and the Cochran tests
Data for crab scale and teacher scale
Methods for controlling type I error across multiple hypothesis tests