Title:
SPSS for Windows step by step : a simple guide and reference, 17.0 update
Personal Author:
Edition:
10th ed.
Publication Information:
Boston : Allyn & Bacon, c2010
Physical Description:
x, 386 p. : ill. ; 28 cm.
ISBN:
9780205755615
Title Subject:
Added Author:
Available:*
Library | Item Barcode | Call Number | Material Type | Item Category 1 | Status |
---|---|---|---|---|---|
Searching... | 30000010251109 | HA32 G458 2010 f | Open Access Book | Book | Searching... |
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Summary
Summary
SPSS for Windows Step by Step: A Simple Guide and Reference, 17.0 Update makes data analysis and SPSS procedures clear and accessible by presenting straightforward "step by step" instructions in each analysis chapter to clarify procedures. 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 17.0 .
Table of Contents
1 An Overview of SPSS for Windows Step-by-Step |
2 SPSS Windows Processes: Mouse and keyboard processing, frequently-used dialog boxes, editing output, printing results, the Options Option |
3 Creating and Editing a Data File |
4 Managing Data: Listing cases, replacing missing values, computing new variables, recoding variables, exploring data, selecting cases, sorting cases, merging files |
5 GRAPHS: Creating and editing graphs and charts |
Base System Module |
6 Frequencies: Frequencies, bar charts, histograms, percentiles |
7 Descriptive Statistics: Measures of central tendency, variability, deviation from normality, size, and stability |
8 Crosstabulation and Chi-Square (2) Analyses |
9 The Means Procedure |
10 Bivariate Correlation: Bivariate correlations, Partial correlations, and the correlation matrix |
11 The T TEST Procedure: Independent-samples, paired-samples, and one-sample tests |
12 The One-Way ANOVA Procedure: One-way Analysis of Variance |
13 General Linear Models: Two-Way Analysis of Variance |
14 General Linear Models: Three-Way Analysis of Variance and the influence of covariates |
15 Simple Linear Regression |
16 Multiple Regression Analysis |
17 Nonparametric Procedures |
18 RELIABILITY ANALYSIS: Coefficient alpha () and split-half reliability |
19 Multidimensional Scaling |
20 FACTOR analysis |
21 Cluster Analysis |
22 Discriminant Analysis |
Advanced and Regression Modules |
23 General Linear Models: MANOVA and MANCOVA: Multivariate Analysis of Variance and Covariance |
24 General Linear Models: Repeated-Measures MANOVA: Multivariate Analysis of Variance with repeated measures and within-subjects factors |
25 Logistic Regression |
26 Hierarchical Loglinear Models |
27 General Loglinear Models |
28 RESIDUALS: Analyzing left-over variance |
Data Files |
Glossary |
References |
Index |