Analysis of single case data using the logistic model

Activity: Talk or presentation typesConference contribution (without a publication)Academic


Background: When psychological constructs or behavior change, such change typically manifests as a transition from one state to another. However, the statistical models commonly used to analyse changes in n-of-1 designs do not provide for this; they assume infinite increases or decreases (e.g., the piecewise regression model) or instantaneous change from one level to another (e.g., mean-bases approaches).
Methods: The logistic model for single case data fits a logistic curve to approximate longitudinal single case data. This enables studying changes involving continuous state transitions. Examples are provided to illustrate the use of this model in practice.

Results: This model can be used to shed light upon the effectiveness of an experimental design, such as the AB design, but also non-experimental longitudinal data can be analysed using this model.

Discussion: The model is a new tool for n-of-1 studies, that can also be generalised to replicated N-of-1 designs using a multilevel approach.
Period8 Sept 2023
Event title37th Annual Conference of the European Health Psychology Society. Health Psychology for all: Equity, Inclusiveness and Transformation
Event typeConference
LocationBremen, Germany, BremenShow on map
Degree of RecognitionInternational


  • single case designs