Associate Professor interested in optimising and evaluating behaviour change interventions to support cancer prevention and control 🐋
Mar 20, 2023 • 6 tweets • 3 min read
Love #methodologymonday plz keep them coming! With factorial designs, there are competing schools of thought, particularly around the assumption that the treatments do not interact. My understanding is that when effect coding (-1,+1) is used, this assumption does not apply [1/?]
Effect coding allows you to interpret all main effects and interactions independently of one another, making the factorial design very efficient for building complex interventions where we may anticipate interactions.
