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This book introduces a new data analysis technique that addresses long standing criticisms of the current standard statistics. Observation Oriented Modelling presents the mathemati… Read more
LIMITED OFFER
Immediately download your ebook while waiting for your print delivery. No promo code is needed.
This book introduces a new data analysis technique that addresses long standing criticisms of the current standard statistics. Observation Oriented Modelling presents the mathematics and techniques underlying the new method, discussing causality, modelling, and logical hypothesis testing. Examples of how to approach and interpret data using OOM are presented throughout the book, including analysis of several classic studies in psychology. These analyses are conducted using comprehensive software for the Windows operating system.
Research/experimental psychologists
Foreword
Dedication
Acknowledgments
Chapter 1. Introduction
Chapter 2. Data at Its Core
Chapter 3. Rotating Deep Structures
Chapter 4. Modeling with Deep Structures
Chapter 5. Statistics and Null Hypothesis Significance Testing
Chapter 6. Modeling and Inferential Statistics
Chapter 7. Modeling and Effect Sizes
Chapter 8. Measurement and Additive Structures
Chapter 9. Cause and Effect
Chapter 10. Coda
References
Index
JG