SPSS for Windows Step by Step : A Simple Guide and Reference, 13.0 Update

by ;
Edition: 6th
Format: Paperback
Pub. Date: 2006-01-01
Publisher(s): Allyn & Bacon
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Summary

Are you confused by SPSS?
Do you understand the concepts of statistics, but struggle with the computer analysis?
Are you tired of figuring out in hours what should only take you minutes?
Or are you just looking for a straightforward, comprehensive reference for SPSS?

SPSS for Windows Step by Step: A Simple Guide and Reference 13.0 Update efficiently shows you how to perform the most common data analysis procedures in SPSS. It is brief but comprehensive. The first part of the book explains the basics of creating and formatting a data set, and includes a chapter on graphs that accommodate the changes in SPSS 13.0. Chapters 6-28 explain, step-by-step, the most common procedures in the Base System Module and the Advanced and Regression Modules. Each chapter is arranged in three parts:

  • Introduction” explains the following procedure at the general, conceptual level, avoiding excessive detail and excessive emphasis on computation.
  • Step by Step” boxes and screen shots break down each procedure with clear references to tasks covered in previous chapters.
  • Outcome” explains the output of what you have just performed and defines critical terms.
All data sets used in this book are available for download on the companion website: http://www.ablongman.com/george6e, saving you the time of entering data.

Table of Contents

An Overview of SPSS for Windows Step by Step
1(8)
SPSS Windows Processes: Mouse and keyboard processing, frequently-used dialog boxes, editing output, printing results, the Options Option
9(18)
Creating and Editing a Data File
27(16)
Managing Data: Listing cases, replacing missing values, computing new variables, recoding variables, exploring data, selecting cases, sorting cases, merging files
43(24)
Graphs: Creating and editing graphs and charts
67(16)
BASE SYSTEM MODULE
Frequencies: Frequencies, bar charts, histograms, percentiles
83(12)
Descriptive Statistics: Measures of central tendency, variability, deviation from normality, size, and stability
95(10)
Crosstabulation and Chi-Square (Χ2) Analyses
105(10)
The MEANS Procedure
115(8)
Bivariate Correlation: Bivariate correlations, partial correlations, and the correlation matrix
123(10)
The T TEST Procedure: Independent-samples, paired-samples, and one-sample tests
133(10)
The One-Way Anova Procedure: One-way Analysis of Variance
143(10)
General Linear Models: Two-Way Analysis of Variance
153(8)
General Linear Models: Three-Way Analysis of Variance and the influence of covariates
161(16)
Simple Linear Regression
177(14)
Multiple Regression Analysis
191(16)
Nonparametric Procedures
207(14)
Reliability Analysis: Coefficient alpha (α) and split-half reliability
221(12)
Multidimensional Scaling
233(12)
Factor Analysis
245(16)
Cluster Analysis
261(16)
Discriminant Analysis
277(16)
ADVANCED AND REGRESSION MODULES
General Linear Models: Manova and Mancova Multivariate Analysis of Variance and Covariance
293(16)
General Linear Models: Repeated-Measures Manova: Multivariate Analysis of Variance with repeated measures and within-subjects factors
309(12)
Logistic Regression
321(12)
Hierarchical Loglinear Models
333(14)
General Loglinear Models
347(10)
Residuals: Analyzing left-over variance
357(8)
Data Files 365(4)
Glossary 369(10)
References 379(2)
Index 381

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