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  • Observation Oriented Modeling: Analysis of Cause in the Behavioral Sciences

    Observation Oriented Modeling by Grice, James W.;

    Analysis of Cause in the Behavioral Sciences

      • GET 20% OFF

      • The discount is only available for 'Alert of Favourite Topics' newsletter recipients.
      • Publisher's listprice EUR 91.95
      • The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.

        38 136 Ft (36 320 Ft + 5% VAT)
      • Discount 20% (cc. 7 627 Ft off)
      • Discounted price 30 509 Ft (29 056 Ft + 5% VAT)
      • Discount is valid until: 31 December 2025

    38 136 Ft

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    Availability

    printed on demand

    Why don't you give exact delivery time?

    Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.

    Long description:

    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.

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    Table of Contents:

    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

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