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SPSS for Windows Step by Step : A Simple Guide and Reference, 15. 0 Update,9780205569076
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SPSS for Windows Step by Step : A Simple Guide and Reference, 15. 0 Update

by ;


Pub. Date:
Allyn & Bacon


SPSS for Windows Step by Step: A Simple Guide and Reference, 15.0 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 15.0

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 Files
Table of Contents provided by Publisher. All Rights Reserved.

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