Overview

IBM SPSS Statistics 19 Step by Step: A Simple Guide and Reference 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 19.0. 

Full Product Details

Author:   Darren George ,  Paul Mallery
Publisher:   Taylor & Francis Inc
Imprint:   Routledge
Edition:   12th edition
Dimensions:   Width: 21.60cm , Height: 1.80cm , Length: 27.60cm
Weight:   0.790kg
ISBN:  

9780205255887

ISBN 10:   0205255884
Pages:   416
Publication Date:   03 January 2012
Audience:   Professional and scholarly ,  College/higher education ,  Professional & Vocational ,  Postgraduate, Research & Scholarly
Format:   Paperback
Publisher's Status:   No Longer Our Product
Availability:   Awaiting stock  
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Table of Contents

1. An overview of IBM SPSS Statistics 19 Step by Step 2. IBM SPSS Statistics Processes for PC and Mac: 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 anad editing graphs and charts   IBM SPSS STATISTICS BASE 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 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   IBM SPSS REGRESSION AND ADVANCED STATISTICS 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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Author Information

Darren George is currently a professor at Canadian University College where he teaches personality psychology, social psychology, and research methods. He completed his M.A. in Experimental Psychology at California State University, Fullerton (1982); taught high school mathematics for nine years (1980-1989) at Mark Keppel High School (Alhambra, CA) and Mountain View High School (El Monte, CA); then completed a Psychology Ph.D. at UCLA with emphases in personality psychology, social psychology, and measurement & psychometrics.   Paul Mallery is currently a professor at La Sierra University where he teaches social psychology and experimental methodology (including the application of SPSS). He received his Ph.D. in Social Psychology from UCLA (1994) with emphases in statistics and political psychology. Paul formerly worked as a computer specialist, both programming and teaching computer usage.

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