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Intermediate Statistics Using SPSS
About this book
What statistical test should I use for this kind of data? How do I set up the data? What parameters should I specify when ordering the test? How do I interpret the results?
Herschel Knapp?s friendly and approachable guide to real-world statistics answers these questions. Intermediate Statistics Using SPSS is not about abstract statistical theory or the derivation or memorization of statistical formulas–it is about applied statistics. With jargon-free language and clear processing instructions, this text covers the most common statistical functions–from basic to more advanced. Practical exercises at the conclusion of each chapter offer students an opportunity to process viable data sets, write cohesive abstracts in APA style, and build a thorough comprehension of the statistical process. Students will learn by doing with this truly practical approach to statistics.
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Information
Table of contents
- Cover
- Half Title
- Acknowledgements
- Title Page
- Copyright Page
- Brief Contents
- Detailed Contents
- Preface
- Acknowledgments
- About the Author
- Part I Statistical Fundamentals
- Chapter 1 Research Principles
- Chapter 2 Working in SPSS
- Part II Summarizing Variables
- Chapter 3 Descriptive Statistics
- Part III Measuring Differences Between Groups
- Chapter 4 t Test and Mann-Whitney U Test
- Chapter 5 ANOVA and Kruskal-Wallis Test
- Chapter 6 Ancova
- Chapter 7 Manova
- Part IV Measuring Differences Over Time
- Chapter 8 Paired t Test and Wilcoxon Test
- Chapter 9 ANOVA Repeated Measures
- Part V Measuring Relationship Between Variables
- Chapter 10 Chi-Square
- Chapter 11 Correlation and RegressionPearson and Spearman
- Chapter 12 Multiple Regression
- Chapter 13 Logistic Regression
- Part VI Data Handling
- Chapter 14 Supplemental SPSS Operations
- Glossary
- Index