Strengths
Prove causality
Treatment/intervention assignment/administration in a precise and controlled way
Precisely choose measurement for observation
Randomization reduces bias (e.g. blinded so that participants and doctors, nurses or researchers do not know what treatment each participant is receiving)
Tool to examine cause-effect relationships between an intervention and outcome. This is because the act of randomization balances participant characteristics.
Weaknesses
High cost
Time consuming
Issues with generalizability (e.g. volunteers might not be representative of the population being studied)
Logistically challenging (e.g. loss to follow up, supervision of multiple locations)
(Hariton & Locascio, 2018; Nickson, 2020)
(University of Southern California, 2022)
Two interview style videos: One highlights the strengths and the other highlights the weaknesses
(Medical Research Council, 2013) (CPR & VideoVox Economics, 2017)