Work

Systematic Representative Design: A Reply to Commentaries

Year: 2019

Type: letter

Abstract: Systematic Representative Design (SRD), enabled by today’s technologies leverages many of the strengths of past designs into a new synthesis affording the capacity for both causal inference and generalizability to everyday life (GEL). In doing so, it could help better integrate past and ongoing empirical research findings in psychology. Generally, the commentaries were positive and thought-provoking. Delightfully, they gave us new opportunities to both clarify misunderstandings as well as further address the feasibility of this approach.

Source: Psychological Inquiry

DOI: 10.1080/1047840x.2019.1698908

Authors: Lynn C. Miller, David C. Jeong, Liyuan Wang, Sonia Jawaid Shaikh, Traci K. Gillig, Carlos G. Godoy, Paul R. Appleby, Charisse L. Corsbie-Massay, Stacy Marsella, John L. Christensen, Stephen J. Read

Institutions: University of Southern California, Washington State University, Syracuse University, Northeastern University, University of Glasgow, University of Connecticut

Language: English

Topic: Psychology Research and Bibliometrics

Subfield: Experimental and Cognitive Psychology

Field: Psychology

Domain: Social Sciences

Open Access status: green

Funders: National Institute of Mental Health, National Institute on Drug Abuse, National Institute of General Medical Sciences, National Institute of Allergy and Infectious Diseases

Awards: Virtual Sex: Real Risk Reduction for MSM, Neural Mechanisms of Risky Sexual Decision-Making in METH and non-METH Using MSM, A Neurobiologically-based Neural Network Model of Risky Decision-making, SOLVE IT: Real Risk Reduction for MSM

OpenAlex ID: W2997832894

Cites: 73

Cited by: 4

Related to: 10