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SPSS for Windows Step by Step A Simple Guide and Reference 18. 0 Update

ISBN-10: 0205011241
ISBN-13: 9780205011247
Edition: 11th 2011
List price: $71.60
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Book details

List price: $71.60
Edition: 11th
Copyright year: 2011
Publisher: Prentice Hall PTR
Binding: Paperback
Pages: 408
Size: 8.50" wide x 11.00" long x 1.00" tall
Weight: 2.046
Language: English

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
Glossary
References
Index

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