Counterfactuals and causal inference: Methods and principles for social research


Autoria(s): Antonakis, J.; Lalive, R.
Data(s)

2011

Resumo

"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.

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Idioma(s)

eng

Direitos

info:eu-repo/semantics/openAccess

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Fonte

Structural Equation Modeling181152-159

Palavras-Chave #causality; counterfactuals; field research
Tipo

info:eu-repo/semantics/article

article

Formato

application/pdf