SPSS for Windows Step by Step : A Simple Guide and Reference 12. 0 Update

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  • Edition: 5th
  • Format: Paperback
  • Copyright: 2005-01-01
  • Publisher: Allyn & Bacon
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SPSS for Windows Step by Step: A Simple Guide and Reference 12.0 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 a chapter on graphs to accommodate the changes in SPSS 12.0. 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/george5e, saving you the time of entering data.

Table of Contents

An Overview of SPSS for Windows Step by Step
SPSS Windows Processes
Mouse and keyboard processing, frequently-used dialog boxes, editing output, printing results, the Options Option
Creating and Editing a Data File
Managing Data: Listing cases, replacing missing values, computing new variables, recoding variables, exploring data, selecting cases, sorting cases, merging files
Graphs: Creating and editing graphs and charts
Base System Module
Frequencies: Frequencies, bar charts, histograms, percentiles
Descriptive Statistics
Measures of central tendency, variability, deviation from normality, size, and stability
Crosstabulation and Chi-Square (*2) Analyses
The Means Procedure
Bivariate Correlation: Bivariate correlations, partial correlations, and the correlation matrix
The T Test Procedure: Independent-samples, paired-samples, and one-sample tests
The One-Way ANOVA Procedure: One-way Analysis of Variance
General Linear Models: Two-Way Analysis of Variance
General Linear Models: Three-Way Analysis of Variance and the influence of covariates
Simple Linear Regression
Multiple Regression Analysis
Nonparametric Procedures
Reliability Analysis: Coefficient alpha (*) and split-half reliability
Multidimensional Scaling
Factor Analysis
Cluster Analysis
Discriminant Analysis
Advanced and Regression Modules
General Linear Models: MANOVA and MANCOVA Multivariate Analysis of Variance and Covariance
General Linear Models: Repeated-Measures MANOVA: Multivariate Analysis of Variance with repeated measures and within-subjects factors
Logistic Regression
Hierarchical Loglinear Models
General Loglinear Models
Residuals: Analyzing left-over variance
Data Disk
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