Causal Inference in Generalizable Environments: Systematic Representative Design

Causal inference and generalizability both matter. Historically, systematic designs emphasize causal inference, while representative designs focus on generalizability. Here, we suggest a transformative synthesis – Systematic Representative Design (SRD) – concurrently enhancing both causal inference...

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Bibliografiske detaljer
Udgivet i:	Psychol Inq
Main Authors:	Miller, Lynn C., Shaikh, Sonia Jawaid, Jeong, David C., Wang, Liyuan, Gillig, Traci K., Godoy, Carlos G., Appleby, Paul R., Corsbie-Massay, Charisse L., Marsella, Stacy, Christensen, John L., Read, Stephen J.
Format:	Artigo
Sprog:	Inglês
Udgivet:	2020
Fag:	Article
Online adgang:	https://ncbi.nlm.nih.gov/pmc/articles/PMC7577318/ https://ncbi.nlm.nih.gov/pubmed/33093760 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/1047840x.2019.1693866
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Causal Inference in Generalizable Environments: Systematic Representative Design

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