Observation Oriented Modeling

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.

Autorentext
James W. Grice (B.S., Wright State University; Ph.D., University of new Mexico) is a professor of psychology at Oklahoma State University. his work appears in such journals as Multivariate Behavioral Research, Psychological Methods, and the Journal of Personality. His computer program, Idiogrid, is in circulation in over 30 different countries worldwide.

Zusammenfassung
Introduces a data analysis technique that addresses long standing criticisms of the standard statistics. This title presents the mathematics and techniques underlying the method, discussing causality, modelling, and logical hypothesis testing.

Inhalt

Foreword by Paul Barrett

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: Models and effect sizes

Chapter 8: Measurement and additive structures

Chapter 9: Cause and Effect

Chapter 10: Coda