Rebecca M. Warner's bestselling Applied Statistics: From Bivariate Through Multivariate Techniques has been split into two volumes for ease of use over a two-course sequence. Applied Statistics II: Multivariable and Multivariate Techniques, Third Edition is a core multivariate statistics text based on chapters from the second half of the original book.
The text begins with two new chapters: an introduction to the new statistics, and a chapter on handling outliers and missing values. All chapters on statistical control and multivariable or multivariate analyses from the previous edition are retained (with the moderation chapter heavily revised) and new chapters have been added on structural equation modeling, repeated measures, and on additional statistical techniques. Each chapter includes a complete example, and begins by considering the types of research questions that chapter's technique can answer, progresses to data screening, and provides screen shots of SPSS menu selections and output, and concludes with sample results sections. By-hand computation is used, where possible, to show how elements of the output are related to each other, and to obtain confidence interval and effect size information when SPSS does not provide this. Datasets are available on the accompanying website.
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Applied Statistics II + Applied Statistics I: Basic Bivariate Techniques, Third Edition
Bundle Volume I and II ISBN: 978-1-0718-1337-9
An R Companion for Applied Statistics II: Multivariable and Multivariate Techniques + Applied Statistics II
Bundle ISBN: 978-1-0718-3618-7
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Table of contents
- Cover
- Half Title
- Acknowledgements
- Publisher Note
- Title Page
- Copyright Page
- Brief Contents
- Detailed Contents
- Preface
- Acknowledgments
- About the Author
- Chapter 1 The New Statistics
- Chapter 2 Advanced Data Screening: Outliers and Missing Values
- Chapter 3 Statistical Control: What Can Happen When You Add a Third Variable?
- Chapter 4 Regression Analysis and Statistical Control
- Chapter 5 Multiple Regression With Multiple Predictors
- Chapter 6 Dummy Predictor Variables in Multiple Regression
- Chapter 7 Moderation: Interaction in Multiple Regression
- Chapter 8 Analysis of Covariance
- Chapter 9 Mediation
- Chapter 10 Discriminant Analysis
- Chapter 11 Multivariate Analysis of Variance
- Chapter 12 Exploratory Factor Analysis
- Chapter 13 Reliability, Validity, and Multiple-Item Scales
- Chapter 14 More About Repeated Measures
- Chapter 15 Structural Equation Modeling With Amos: A Brief Introduction
- Chapter 16 Binary Logistic Regression
- Chapter 17 Additional Statistical Techniques
- Glossary
- References
- Index
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Yes, you can access Applied Statistics II by Rebecca M. Warner in PDF and/or ePUB format, as well as other popular books in Social Sciences & Social Science Research & Methodology. We have over one million books available in our catalogue for you to explore.