SPSS 16.0 Guide to Data Analysis
2nd Edition
Published on 3. April 2008
Book
Mixed media product
672 pages
978-0-13-606136-6 (ISBN)
Description
The SPSS 16.0 Guide to Data Analysis is a friendly introduction to both data analysis and SPSS, the world's leading desktop statistical software package. Easy-to-understand explanations and in-depth content make this guide both an excellent supplement to other statistics texts and a superb primary text for any introductory data analysis course. With the SPSS 16.0 Guide to Data Analysis, you get a jump-start on describing data, testing hypotheses, and examining relationships using SPSS.
Author Marija Norusis incorporates a wealth of data, including the General Social Survey and studies of Internet usage, opinions of the criminal justice system, marathon running times, library patronage, and the importance of manners. These data files are supplied with the book and are used throughout the examples and expanded chapter exercises. This unique combination of examples, exercises, and contemporary data gives you hands-on experience in analyzing data and makes learning about data analysis and statistical software relevant, unintimidating, and even fun!
Data CD-ROM included.
Author Marija Norusis incorporates a wealth of data, including the General Social Survey and studies of Internet usage, opinions of the criminal justice system, marathon running times, library patronage, and the importance of manners. These data files are supplied with the book and are used throughout the examples and expanded chapter exercises. This unique combination of examples, exercises, and contemporary data gives you hands-on experience in analyzing data and makes learning about data analysis and statistical software relevant, unintimidating, and even fun!
Data CD-ROM included.
More details
Edition
2nd edition
Language
English
Place of publication
United States
Publishing group
Pearson Education (US)
Target group
Professional and scholarly
Dimensions
Width: 229 mm
Thickness: 27 mm
Weight
982 gr
ISBN-13
978-0-13-606136-6 (9780136061366)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Other editions
New editions
Marija Norusis
SPSS 17.0 Guide to Data Analysis
Book
04/2009
Pearson
€54.73
Article exhausted; check for reprint
Previous edition
Marija Norusis
SPSS 15.0 Guide to Data Analysis
Book
06/2007
Pearson
€50.87
Article exhausted; check for reprint
Person
Marija Norusis earned a Ph.D. in biostatistics from the University of Michigan. She was SPSS's first professional statistician. McGraw-Hill published 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 those whose Lithuanian is rusty:
"Marija" is pronounced "Maria," not "Mar-eye-ja."
"Norusis" is pronounced "Norooshis," not "Neurosis."
For those whose Lithuanian is rusty:
"Marija" is pronounced "Maria," not "Mar-eye-ja."
"Norusis" is pronounced "Norooshis," not "Neurosis."
Content
Contents at a glance: Part 1 Getting started with SPSS:
Setting up a data file; using the online tutorial and Help system; evaluating strategies for acquiring data
Part 2 Describing Data:
Histograms, bar charts, stem and leaf plots, boxplots; scatterplots; tables and summary statistics
Part 3 Testing Hypotheses:
One sample t-test; paired and two sample t-tests; oneway and twoway analysis of variance; chi-square tests; nonparametric tests
Part 4 Examining Relationships:
Measures of association; linear regression and correlation; multiple regression; examining residuals and other diagnostics
Appendices
Include detailed instructions for producing charts with SPSS, and a thorough overview of the facilities for transforming and selecting data prior to analysis.
Setting up a data file; using the online tutorial and Help system; evaluating strategies for acquiring data
Part 2 Describing Data:
Histograms, bar charts, stem and leaf plots, boxplots; scatterplots; tables and summary statistics
Part 3 Testing Hypotheses:
One sample t-test; paired and two sample t-tests; oneway and twoway analysis of variance; chi-square tests; nonparametric tests
Part 4 Examining Relationships:
Measures of association; linear regression and correlation; multiple regression; examining residuals and other diagnostics
Appendices
Include detailed instructions for producing charts with SPSS, and a thorough overview of the facilities for transforming and selecting data prior to analysis.