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Title:
SPSS for Windows step by step : a simple guide and reference, 17.0 update
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Edition:
10th ed.
Publication Information:
Boston : Allyn & Bacon, c2010
Physical Description:
x, 386 p. : ill. ; 28 cm.
ISBN:
9780205755615
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30000010251109 HA32 G458 2010 f Open Access Book Book
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Summary

Summary

SPSS for Windows Step by Step: A Simple Guide and Reference, 17.0 Update makes data analysis and SPSS procedures clear and accessible by presenting straightforward "step by step" instructions in each analysis chapter to clarify procedures.  Exercises at the end of each chapter and selected answers on the website give students an opportunity to practice using SPSS. Updated to reflect SPSS Version 17.0 . 


Table of Contents

1 An Overview of SPSS for Windows Step-by-Step
2 SPSS Windows Processes: Mouse and keyboard processing, frequently-used dialog boxes, editing output, printing results, the Options Option
3 Creating and Editing a Data File
4 Managing Data: Listing cases, replacing missing values, computing new variables, recoding variables, exploring data, selecting cases, sorting cases, merging files
5 GRAPHS: Creating and editing graphs and charts
Base System Module
6 Frequencies: Frequencies, bar charts, histograms, percentiles
7 Descriptive Statistics: Measures of central tendency, variability, deviation from normality, size, and stability
8 Crosstabulation and Chi-Square (2) Analyses
9 The Means Procedure
10 Bivariate Correlation: Bivariate correlations, Partial correlations, and the correlation matrix
11 The T TEST Procedure: Independent-samples, paired-samples, and one-sample tests
12 The One-Way ANOVA Procedure: One-way Analysis of Variance
13 General Linear Models: Two-Way Analysis of Variance
14 General Linear Models: Three-Way Analysis of Variance and the influence of covariates
15 Simple Linear Regression
16 Multiple Regression Analysis
17 Nonparametric Procedures
18 RELIABILITY ANALYSIS: Coefficient alpha () and split-half reliability
19 Multidimensional Scaling
20 FACTOR analysis
21 Cluster Analysis
22 Discriminant Analysis
Advanced and Regression Modules
23 General Linear Models: MANOVA and MANCOVA: Multivariate Analysis of Variance and Covariance
24 General Linear Models: Repeated-Measures MANOVA: Multivariate Analysis of Variance with repeated measures and within-subjects factors
25 Logistic Regression
26 Hierarchical Loglinear Models
27 General Loglinear Models
28 RESIDUALS: Analyzing left-over variance
Data Files
Glossary
References
Index