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Handbook of causal analysis for social research /

What constitutes a causal explanation, and must an explanation be causal? What warrants a causal inference, as opposed to a descriptive regularity? What techniques are available to detect when causal effects are present, and when can these techniques be used to identify the relative importance of th...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Morgan, Stephen L. (Stephen Lawrence), 1971-
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Dordrecht : Springer, 2013.
Colección:Handbooks of sociology and social research.
Temas:
Acceso en línea:Texto completo

MARC

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245 0 0 |a Handbook of causal analysis for social research /  |c Stephen L. Morgan (ed.). 
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490 1 |a Handbooks of sociology and social research 
504 |a Includes bibliographical references. 
505 0 0 |t Background and Approaches to Analysis --  |t A History of Causal Analysis in the Social Sciences /  |r Sondra N. Barringer, Scott R. Eliason, Erin Leahey --  |t Types of Causes /  |r Jeremy Freese, J. Alex Kevern --  |t Design and Modeling Choices.  |t Research Design: Toward a Realistic Role for Causal Analysis /  |r Herbert L. Smith --  |t Causal Models and Counterfactuals /  |r James Mahoney, Gary Goertz, Charles C. Ragin --  |t Mixed Methods and Causal Analysis /  |r David J. Harding, Kristin S. Seefeldt --  |t Beyond Conventional Regression Models.  |t Fixed Effects, Random Effects, and Hybrid Models for Causal Analysis /  |r Glenn Firebaugh, Cody Warner, Michael Massoglia --  |t Heteroscedastic Regression Models for the Systematic Analysis of Residual Variances /  |r Hui Zheng, Yang Yang, Kenneth C. Land --  |t Group Differences in Generalized Linear Models /  |r Tim F. Liao --  |t Counterfactual Causal Analysis and Nonlinear Probability Models /  |r Richard Breen, Kristian Bernt Karlson --  |t Causal Effect Heterogeneity /  |r Jennie E. Brand, Juli Simon Thomas --  |t New Perspectives on Causal Mediation Analysis /  |r Xiaolu Wang, Michael E. Sobel --  |t Systems of Causal Relationships.  |t Graphical Causal Models /  |r Felix Elwert --  |t The Causal Implications of Mechanistic Thinking: Identification Using Directed Acyclic Graphs (DAGs) /  |r Carly R. Knight, Christopher Winship --  |t Eight Myths About Causality and Structural Equation Models /  |r Kenneth A. Bollen, Judea Pearl --  |t Influence and Interference.  |t Heterogeneous Agents, Social Interactions, and Causal Inference /  |r Guanglei Hong, Stephen W. Raudenbush --  |t Social Networks and Causal Inference /  |r Tyler J. VanderWeele, Weihua An --  |t Retreat from Effect Identification.  |t Partial Identification and Sensitivity Analysis /  |r Markus Gangl --  |t What You Can Learn from Wrong Causal Models /  |r Richard A. Berk [and others]. 
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520 |a What constitutes a causal explanation, and must an explanation be causal? What warrants a causal inference, as opposed to a descriptive regularity? What techniques are available to detect when causal effects are present, and when can these techniques be used to identify the relative importance of these effects? What complications do the interactions of individuals create for these techniques? When can mixed methods of analysis be used to deepen causal accounts? Must causal claims include generative mechanisms, and how effective are empirical methods designed to discover them? The Handbook of Causal Anlaysis for Social Research tackles these questions with nineteen chapters from leading scholars in sociology, statistics, public health, computer science, and human development. 
546 |a English. 
590 |a ProQuest Ebook Central  |b Ebook Central Academic Complete 
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650 7 |a Sciences sociales.  |2 eclas 
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