Counterfactuals and causal inference: Methods and principles for social research

Détails

Ressource 1Télécharger: BIB_B252C50CF3AD.P001.pdf (75.91 [Ko])
Etat: Public
Version: de l'auteur⸱e
ID Serval
serval:BIB_B252C50CF3AD
Type
Article: article d'un périodique ou d'un magazine.
Sous-type
Compte-rendu: analyse d'une oeuvre publiée.
Collection
Publications
Institution
Titre
Counterfactuals and causal inference: Methods and principles for social research
Périodique
Structural Equation Modeling
Auteur⸱e⸱s
Antonakis J., Lalive R.
ISSN
1070-5511
Statut éditorial
Publié
Date de publication
2011
Peer-reviewed
Oui
Volume
18
Numéro
1
Pages
152-159
Langue
anglais
Résumé
"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.
Mots-clé
causality, counterfactuals, field research
Web of science
Création de la notice
21/07/2010 11:35
Dernière modification de la notice
20/08/2019 16:21
Données d'usage