IBM SPSS Statistics 19 Statistical Procedures Companion
Pearson (Publisher)
Published on 30. June 2011
Book
Mixed media product
672 pages
978-0-321-74842-3 (ISBN)
Description
IBM SPSS Statistics 19 Statistical Procedures Companion contains tips, warnings, and examples that will help you take advantage of IBM SPSS Statistics 19 to better analyze data. This book contains a basic review of the underlying statistical concepts, with an emphasis on the practice of analyzing data. Ideal for both new and experienced users, this companion offers suggestions and strategies for handling the issues that arise when analyzing data.
IBM SPSS Statistics 19 Statistical Procedures Companion covers various statistical procedures in IBM SPSS Statistics. This book also contains introductory chapters on using the software, creating and cleaning data files, testing hypotheses, and describing data.
IBM SPSS Statistics 19 Statistical Procedures Companion covers various statistical procedures in IBM SPSS Statistics. This book also contains introductory chapters on using the software, creating and cleaning data files, testing hypotheses, and describing data.
More details
Language
English
Place of publication
United States
Publishing group
Pearson Education (US)
Target group
College/higher education
Dimensions
Height: 196 mm
Width: 232 mm
Thickness: 22 mm
Weight
904 gr
ISBN-13
978-0-321-74842-3 (9780321748423)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Other editions
Previous edition

Marija J. Norusis | Inc. SPSS Inc.
PASW Statistics 18 Statistical Procedures Companion
Book
03/2010
Pearson
€50.95
Article exhausted; check for reprint
Persons
Marija Norusis earned a PhD in biostatistics from the University of Michigan. She was SPSS's first professional statistician. During this time, she wrote her first book, The SPSS Introductory Guide. Since then she has written numerous volumes of highly acclaimed SPSS documentation, and textbooks that demystify statistics and SPSS. Dr. Norusis has been on the faculties of the University of Chicago and Rush Medical College, teaching statistics to diverse audiences. When not working on SPSS guides, Marija analyzes real data as a statistical consultant.
For more detailed information about Dr. Norusis and her SPSS guides, visit her website at www.norusis.com.
For more detailed information about Dr. Norusis and her SPSS guides, visit her website at www.norusis.com.
Content
PART 1
1. Introduction
2. Getting to Know IBM SPSS Statistics
3. Introducing Data
4. Preparing Your Data
5. Transforming Your Data
6. Describing Your Data
7. Testing Hypotheses
8. T Tests
9. One-Way Analysis of Variance
10. Crosstabulation
11. Correlation
12. Bivariate Linear Regression
13. Multiple Linear Regression
14 Automatic Linear Modeling
15. Discriminant Analysis
16. Logistic Regression Analysis
17. Cluster Analysis
18. Factor Analysis
19. Reliability Analysis
20. Nonparametric Tests
21. Ordinal Regression
22. General Loglinear Analysis
PART 2
23. GLM Univariate
24. GLM Multivariate
25. GLM Repeated Measures
1. Introduction
2. Getting to Know IBM SPSS Statistics
3. Introducing Data
4. Preparing Your Data
5. Transforming Your Data
6. Describing Your Data
7. Testing Hypotheses
8. T Tests
9. One-Way Analysis of Variance
10. Crosstabulation
11. Correlation
12. Bivariate Linear Regression
13. Multiple Linear Regression
14 Automatic Linear Modeling
15. Discriminant Analysis
16. Logistic Regression Analysis
17. Cluster Analysis
18. Factor Analysis
19. Reliability Analysis
20. Nonparametric Tests
21. Ordinal Regression
22. General Loglinear Analysis
PART 2
23. GLM Univariate
24. GLM Multivariate
25. GLM Repeated Measures