Re-thinking the Role of N-of-1 (Single-Case) Methods in Behaviour Change Research
Behaviour change interventions aiming to improve outcomes in individuals (e.g. physical activity, medication adherence, pain symptoms) are primarily tested using group-based research designs. However, evidence from group-based studies tell us little about individual response to interventions. Quantitative n-of-1 methods can be used to draw robust conclusions about individual patterns of behaviour and individual response to interventions. This talk will introduce n-of-1 methods as an important tool in the researcher’s toolbox and explore the challenges and opportunities of using n-of-1 methods in future behaviour change research.