SPSS Statistics 17.0 Guide to Data Analysis
The SPSS 17.0 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 this book, you get a jump-start on describing data, testing hypotheses, and examining relationships using SPSS. Author Marija Norušis...
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The SPSS 17.0 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 this book, you get a jump-start on describing data, testing hypotheses, and examining relationships using SPSS.Author Marija Norušis incorporates a wealth of real 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 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!A data CD-ROM is included with this book.
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 dataPart 2 Describing Data:Histograms, bar charts, stem and leaf plots, boxplots; scatterplots; tables and summary statisticsPart 3 Testing Hypotheses:One sample t-test; paired and two sample t-tests; oneway and twoway analysis of variance; chi-square tests; nonparametric testsPart 4 Examining Relationships:Measures of association; linear regression and correlation; multiple regression; examining residuals and other diagnosticsAppendicesInclude detailed instructions for producing charts with SPSS, and a thorough overview of the facilities for transforming and selecting data prior to analysis.
