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Using Twins to Assess What Might Have Been

The Co-twin Control Design

Bibliographic Data

ID6448672
AuthorsWilhelmina Van Dijk (0000-0001-9195-8772, Utah State University, corresponding author), Cynthia U Norris (0000-0003-2111-2397, Florida State University), Shilpa A Hart (0000-0001-9793-0420, Florida State University)
Year2022
Volume35
Issue3
Pages321-331
Publication date2022-08-30
Open AccessYes
TypeARTICLE
VenueResearch on Social Work Practice (JOURNAL)
Journal identifiersISSN: 1049-7315 • E-ISSN: 1552-7581
PublisherSAGE Publishing (PUBLISHER • US)
DOI10.1177/10497315221120604
OpenAlexW4293547384
LanguageEN
Citations received1
References cited30

Randomized control trials are considered the pinnacle for causal inference. In many cases, however, randomization of participants in social work research studies is not feasible or ethical. This paper introduces the co-twin control design study as an alternative quasi-experimental design to provide evidence of causal mechanisms when randomization is not possible. This method maximizes the genetic and environmental sameness between twins who are discordant on an “exposure” to provide strong counterfactuals as approximations of causal effects. We describe how the co-twin control design can be used to infer causality and in what type of situations the design might be useful for social work researchers. Finally, we give advantages and limitations to the design, list a set of Twin Registries with data available after application, and provide an example code for data analysis

Causal inference · Causal model · Causality (physics · Clinical study design · Clinical trial · Control (management · Counterfactual conditional · Counterfactual thinking · Econometrics · Inference · Randomized experiment · Research design · Set (abstract data type · Statistics · Twin study · Cognitive Abilities and Testing · Computer Science · Health disparities and outcomes · Health, Environment, Cognitive Aging · Mathematics · Medicine · Psychology · Social Psychology · Artificial Intelligence

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Citations per year0.5
Citation span2024 - 2024 (1)
Highly citedNo

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