Statistical Models for Causation: What Inferential Leverage Do They Provide?

Autor/in	Freedman, David A.
Titel	Statistical Models for Causation: What Inferential Leverage Do They Provide?
Quelle	In: Evaluation Review, 30 (2006) 6, S.691-713 (23 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0193-841X
DOI	10.1177/0193841X06293771
Schlagwörter	Experiments; Control Groups; Inferences; Comparative Analysis; Causal Models; Research Methodology; Reliability; Observation; Methods Research + Suchen Sie Ihr Suchwort? Erprobung; Inference; Inferenz; Kausalanalyse; Research method; Forschungsmethode; Reliabilität; Beobachtung; Methodenforschung
Abstract	Experiments offer more reliable evidence on causation than observational studies, which is not to gainsay the contribution to knowledge from observation. Experiments should be analyzed as experiments, not as observational studies. A simple comparison of rates might be just the right tool, with little value added by "sophisticated" models. This article discusses current models for causation, as applied to experimental and observational data. The intention-to-treat principle and the effect of treatment on the treated will also be discussed. Flaws in per-protocol and treatment-received estimates will be demonstrated. (Author).
Anmerkungen	SAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: http://sagepub.com.
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10