Direction Dependence Analysis - Eye, Alexander Von; Wiedermann, Wolfgang
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Discover the groundbreaking Direction Dependence Analysis (DDA), a powerful statistical method that enhances traditional regression and structural modeling by evaluating causal direction between variables. This book offers formal DDA methodologies, real-world applications, and introduces user-friendly DDA software for effective data analysis.

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Produktbeschreibung
Discover the groundbreaking Direction Dependence Analysis (DDA), a powerful statistical method that enhances traditional regression and structural modeling by evaluating causal direction between variables. This book offers formal DDA methodologies, real-world applications, and introduces user-friendly DDA software for effective data analysis.
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Autorenporträt
Wolfgang Wiedermann is Professor of Statistics, Measurement, and Evaluation in Education in the College of Education and Human Development at the University of Missouri, Columbia. He received his Ph.D. in Quantitative Psychology from the University of Klagenfurt, Austria. His work focuses on the development of methods for causal structure learning and causal inference, distributional regression, and methods for person-oriented research. He has co-authored books on the general linear model (in 2023) and Configural Frequency Analysis (in 2021) and edited volumes on direction dependence modeling (in 2020) and statistics and causality (in 2016). His work appears in journals such as Psychological Methods, Multivariate Behavioral Research, Behavior Research Methods, Prevention Science, Developmental Psychology, and Development and Psychopathology.