Counterfactuals and causal inference: Methods and principles for social research
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Download: BIB_B252C50CF3AD.P001.pdf (75.91 [Ko])
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Version: author
State: Public
Version: author
Serval ID
serval:BIB_B252C50CF3AD
Type
Article: article from journal or magazin.
Publication sub-type
Minutes: analyse of a published work.
Collection
Publications
Institution
Title
Counterfactuals and causal inference: Methods and principles for social research
Journal
Structural Equation Modeling
ISSN
1070-5511
Publication state
Published
Issued date
2011
Peer-reviewed
Oui
Volume
18
Number
1
Pages
152-159
Language
english
Abstract
"Most quantitative empirical analyses are motivated by the desire to estimate the causal effect
of an independent variable on a dependent variable. Although the randomized experiment is the
most powerful design for this task, in most social science research done outside of psychology,
experimental designs are infeasible. (Winship & Morgan, 1999, p. 659)." This quote from earlier work by Winship and Morgan, which was instrumental in setting the groundwork for their book, captures the essence of our review of Morgan and Winship's book: It is about causality in nonexperimental settings.
of an independent variable on a dependent variable. Although the randomized experiment is the
most powerful design for this task, in most social science research done outside of psychology,
experimental designs are infeasible. (Winship & Morgan, 1999, p. 659)." This quote from earlier work by Winship and Morgan, which was instrumental in setting the groundwork for their book, captures the essence of our review of Morgan and Winship's book: It is about causality in nonexperimental settings.
Keywords
causality, counterfactuals, field research
Web of science
Create date
21/07/2010 10:35
Last modification date
20/08/2019 15:21