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

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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.

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Product Details

  • ISBN-13: 9780205011247
  • Publisher: Prentice Hall
  • Publication date: 10/27/2010
  • Series: Pearson Custom Library: Psychology Series
  • Edition number: 11
  • Pages: 408
  • Product dimensions: 8.40 (w) x 10.70 (h) x 1.00 (d)

Meet the Author

Darren George,

Darren’s academic background includes a B.A. from Pacific Union College (triple major of math, history, religion), an M.A. from California State University, Fullerton (Experimental Psychology) and a Ph.D. from UCLA (Personality and Social Psychology with a minor of Measurement and Psychometrics). He is a tenured professor of Psychology at Canadian University College in Lacombe, Alberta, Canada. His specialties include data analysis using SPSS software and marital compatibility. In the latter category Darren has co-authored a bestselling book with his wife Elizabeth on marital compatibility called The Compatibility Code. He is father of three adult children, Marcus an aerospace engineer; Melody, a film producer; and Robin, an animator with Rhythm and Hues. He was a nationally ranked runner in the ’70s (2:20:10 marathon) and is an avid trombonist and pianist.

Paul Mallery, Associate Professor at LaSierra University

Dr. Mallery joined the LSU faculty in 1993, and completed his Ph.D. from UCLA in 1994 in Social Psychology, with a minor in Political Psychology. His research focuses on intergroup relations, primarily social comparisons in intergroup settings, and prejudice. In addition to numerous conference presentations, he has co-authored two textbooks (published by Wadsworth and Allyn & Bacon) on the SPSS statistical package.

Dr. Mallery is extremely engrossed with work and research. He has published an article in the Journal of Social Psychology entitled, "Controllability, Anger, Judgements and Valence of Attributions for Civil Unrest."

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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


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


17. NONPARAMETRIC Procedures

18. RELIABILITY ANALYSIS: Coefficient alpha () and split-half reliability


20. FACTOR analysis




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


26. Hierarchical LOGLINEAR MODELS


28. RESIDUALS: Analyzing left-over variance

Data Files




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