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Causal Models in the Social Sciences

in the social sciences and to link theory and research through the development of causal models.Organized into five sections (Simple Recursive;

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Causality and Causal Modelling in the Social Sciences

This investigation into causal modelling presents the rationale of causality, i.e. the notion that guides causal reasoning in causal;

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Causal Models in Experimental Designs

This is a companion volume to Causal Models in the Social Sciences, the majority of articles concern panel designs involving repeated;

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Confounding in Causal Inference

Causal inference is an important but controversial topic in the social sciences in that it is difficult to statistically control for all;

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Agent-based Models and Causal Inference

a rigorous new contribution to current understandings of the foundation of causal inference and justification in the social sciences. It;

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Techniques Of Event History Modeling

sciences; *demonstrates that event history modeling is a major step forward in causal analysis. To do so the authors show that event history;

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Techniques of Event History Modeling

sciences; *demonstrates that event history modeling is a major step forward in causal analysis. To do so the authors show that event history;

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Statistical Models For Causal Analysis

This volume provides an overview of statistical models commonly used in the causal analyses of non-experimental data in the social and;

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The Art of Causal Conjecture

statistical investigation in the natural and social sciences, and it can also be used to formulate assumptions of causal uniformity needed for;

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Causation, Evidence, and Inference

In this book, Reiss argues in favor of a tight fit between evidence, concept and purpose in our causal investigations in the sciences;

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Scientific Discovery in the Social Sciences

This volume offers selected papers exploring issues arising from scientific discovery in the social sciences. It features a range;

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Agency and Causal Explanation in Economics

possibly original conclusions is that causal and agency relationships do not encompass all of the dependent relationships encountered in social;

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Agency and Causal Explanation in Economics

possibly original conclusions is that causal and agency relationships do not encompass all of the dependent relationships encountered in social;

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App Panel Data Analysis For Economic & S

textbook is directed at master and doctoral students as well as applied researchers in the social sciences, psychology, business administration and;

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The Causal Power of Social Structures

The problem of structure and agency has been the subject of intense debate in the social sciences for over 100 years. This book offers a;

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The Causal Power of Social Structures

The problem of structure and agency has been the subject of intense debate in the social sciences for over 100 years. This book offers a;

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Mechanistic Explanations in Physics and Beyond

in the philosophy of science, scientific explanation, complex systems, models of explanation in physics higher level sciences, and causal;

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Multimethod Research, Causal Mechanisms, and Case Studies

is particularly aimed at students of qualitative methods in the social sciences. Walking step-by-step through these cutting-edge tools and techniques;

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Multimethod Research, Causal Mechanisms, and Case Studies

is particularly aimed at students of qualitative methods in the social sciences. Walking step-by-step through these cutting-edge tools and techniques;

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Connectionist Models of Social Reasoning and Social Behavior

Although neural network models have had a dramatic impact on the cognitive and brain sciences, social psychology has remained largely;

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Connectionist Models of Social Reasoning and Social Behavior

Although neural network models have had a dramatic impact on the cognitive and brain sciences, social psychology has remained largely;

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Counterfactuals and Causal Inference

counterfactual approach to observational data analysis are presented with examples from the social, demographic, and health sciences. Alternative;

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Counterfactuals & Causal Inference

counterfactual approach to observational data analysis are presented with examples from the social, demographic, and health sciences. Alternative;

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Social Causation and Biographical Research

will appeal to scholars across the social sciences with interests in biographical research and social research methods.;

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Causality and Probability in the Sciences

Causal inference is perhaps the most important form of reasoning in the sciences. A panoply of disciplines, ranging from epidemiology to;

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Causal Inf In Statistics Social

Most questions in social and biomedical sciences are causal in nature: what would happen to individuals, or to groups, if part of their;

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New Directions in the Philosophy of Social Science

Philosophy matters for the social sciences. Our world faces ever more complex and hazardous problems and, social science ontology and;

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