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Direction Dependence in Statistical Modeling

Methods of Analysis

Wolfgang Wiedermann (Redaktør) ; Daeyoung Kim (Redaktør) ; Engin A. Sungur (Redaktør) ; Alexander von Eye (Redaktør)

Covers the latest developments in direction dependence research
Direction Dependence in Statistical Modeling: Methods of Analysis incorporates the latest research for the statistical analysis of hypotheses that are compatible with the causal direction of dependence of variable relations. Les mer
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Legg i
Vår pris: 1377,-

(Innbundet) Fri frakt!
Leveringstid: Sendes innen 7 virkedager
På grunn av Brexit-tilpasninger og tiltak for å begrense covid-19 kan det dessverre oppstå forsinket levering.

Om boka

Covers the latest developments in direction dependence research
Direction Dependence in Statistical Modeling: Methods of Analysis incorporates the latest research for the statistical analysis of hypotheses that are compatible with the causal direction of dependence of variable relations. Having particular application in the fields of neuroscience, clinical psychology, developmental psychology, educational psychology, and epidemiology, direction dependence methods have attracted growing attention due to their potential to help decide which of two competing statistical models is more likely to reflect the correct causal flow.
The book covers several topics in-depth, including:



A demonstration of the importance of methods for the analysis of direction dependence hypotheses

A presentation of the development of methods for direction dependence analysis together with recent novel, unpublished software implementations

A review of methods of direction dependence following the copula-based tradition of Sungur and Kim

A presentation of extensions of direction dependence methods to the domain of categorical data

An overview of algorithms for causal structure learning



The book's fourteen chapters include a discussion of the use of custom dialogs and macros in SPSS to make direction dependence analysis accessible to empirical researchers.

Fakta

Innholdsfortegnelse

ABOUT THE EDITORS


NOTES ON CONTRIBUTORS


ACKNOWLEDGMENTS


PREFACE


PART I: FUNDAMENTAL CONCEPTS OF DIRECTION DEPENDENCE


1. From Correlation to Direction Dependence Analysis: 1888-2018


Yadolah Dodge and Valentin Rousson


2. Direction Dependence Analysis: Statistical Foundations and Applications


Wolfgang Wiedermann, Xintong Li, and Alexander von Eye


3. The Use of Copulas for Directional Dependence Modeling


Engin Sungur


PART II: DIRECTION DEPENDENCE IN CONTINUOUS VARIABLES


4. Asymmetry Properties of the Partial Correlation Coefficient: Foundations for Covariate-Adjustment in Distribution-based Direction Dependence Analysis


Wolfgang Wiedermann


5. Recent Advances in Semi-Parametric Methods for Causal Discovery


Shohei Shimizu and Patrick Bloebaum


6. Assumption Checking for Directional Causality Analyses


Phillip K. Wood


7. Complete Dependence: A survey


Santi Tasena


PART III: DIRECTION DEPENDENCE IN CATEGORICAL VARIABLES


8. Locating Direction Dependence using Log-Linear Modeling, Configural Frequency Analysis, and Prediction Analysis


Alexander von Eye and Wolfgang Wiedermann


9. Recent Development on Asymmetric Association Measures for Contingency Tables


Xiaonan Zhu, Zheng Wei and Tonghui Wang


10. Analysis of asymmetric dependence for three-way contingency tables using the subcopula approach


Daeyoung Kim and Zheng Wei


PART IV: APPLICATIONS AND SOFTWARE


11. Distribution-based Causal Inference: A Review and Practical Guidance for Epidemiologists


Tom Rosenstroem and Regina Garcia-Velazquez


12. Determining causality in relation to early risk factors for ADHD: The case of breastfeeding duration


Joel T. Nigg, Diane D. Stadler, Alexander von Eye and Wolfgang Wiedermann


13. Direction of Effect between Intimate Partner Violence and Mood Lability: A Granger Causality Model


G. Anne Bogat, Alytia A. Levendosky, Jade Kobayashi and Alexander von Eye


14. On the Causal Relation of Academic Achievement and Intrinsic Motivation: An Application of Direction Dependence Analysis using SPSS Custom Dialogs


Xintong Li and Wolfgang Wiedermann


Index

Om forfatteren

WOLFGANG WIEDERMANN is Associate Professor at the University of Missouri-Columbia. He received his Ph.D. in Quantitative Psychology from the University of Klagenfurt, Austria. His primary research interests include the development of methods for causal inf