Testing Mediators of Youth Intervention Outcomes Using Single-Case Experimental Designs.

Area of Science:

• Child and Adolescent Psychology
• Behavioral Research Methods
• Clinical Intervention Science

Background:

• Single-case experimental designs (SCEDs) are emerging as a robust alternative to Randomized Controlled Trials (RCTs) for evaluating interventions in youth.
• Statistical mediation analysis is crucial for elucidating the mechanisms of change that drive intervention outcomes in adolescent populations.
• Integrating SCEDs with mediation analysis offers a powerful approach to understanding how interventions work in individual cases.

Purpose of the Study:

• To synthesize the conceptual framework and methodological requirements for mediation analysis within SCEDs.
• To present and evaluate various data-analytic techniques for testing mediation in SCED data.
• To demonstrate the application of these methods using a clinical case of childhood anxiety.

Main Methods:

• Conceptual review of mediation analysis principles applied to SCEDs.
• Description of statistical techniques suitable for mediation analysis in time-series data.
• Application of selected methods to a single-case dataset from a clinically anxious child.

Main Results:

• The study outlines a framework and discusses several analytical techniques for mediation analysis in SCEDs.
• Application to a clinical dataset illustrates the practical implementation of these methods.
• Pros and cons of different approaches for testing mediation in SCEDs are discussed.

Conclusions:

• Combining SCEDs with statistical mediation analysis provides a nuanced understanding of intervention mechanisms in youth.
• The presented methods offer valuable tools for researchers investigating treatment effects at the individual level.
• Further research is needed to refine and validate these integrated approaches for diverse clinical populations.