SPSS for Windows Step by Step: A Simple Guide and Reference 18.0 Update / Edition 11

SPSS for Windows Step by Step: A Simple Guide and Reference 18.0 Update / Edition 11

by Darren George, Paul Mallery
     
 

ISBN-10: 0205011241

ISBN-13: 9780205011247

Pub. Date: 10/27/2010

Publisher: Prentice Hall

SPSS for Windows Step by Step: A Simple Guide and Reference, 18.0 Update is a comprehensive guide to using SPSS that takes students step-by-step through all SPSS procedures.

Makes data analysis and SPSS procedures clear and accessible by presenting straightforward step-by-step instructions in each analysis chapter to clarify procedures. Hundreds of screen

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Overview

SPSS for Windows Step by Step: A Simple Guide and Reference, 18.0 Update is a comprehensive guide to using SPSS that takes students step-by-step through all SPSS procedures.

Makes data analysis and SPSS procedures clear and accessible by presenting 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 online at www.pearsonhighered.com/IRC. Exercises at the end of each chapter give students an opportunity to practice using SPSS. Updated to reflect SPSS Version 18.0.

Product Details

ISBN-13:
9780205011247
Publisher:
Prentice Hall
Publication date:
10/27/2010
Series:
Pearson Custom Library: Psychology Series
Pages:
408
Product dimensions:
8.40(w) x 10.70(h) x 1.00(d)

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

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