9780205515851

SPSS for Windows Step-by-Step : A Simple Guide and Reference, 14. 0 Update

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  • ISBN13:

    9780205515851

  • ISBN10:

    0205515851

  • Edition: 7th
  • Format: Paperback
  • Copyright: 1/1/2007
  • Publisher: Allyn & Bacon
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Summary

SPSS for Windows Step by Step: A Simple Guide and Reference, 14.0 Updatemakes data analysis and SPSS procedures clear and accessible. Presents straightforward "step by step" instructions in each analysis chapter to clarify procedures. Hundreds of screen shots and "Step by Step" boxes guide the student through the program. All of the datasets used in the book are available for download on the text website. 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 14.0

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 (a) 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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