Process-based functional analysis can help behavioral science step up to novel challenges: COVID - 19 as an example

Area of Science:

• Behavioral science
• Evolutionary science
• Psychological flexibility

Background:

• Functional analysis, a core behavioral science method, has seen limited application or modification.
• Classical functional analysis struggles with novel situations and complex challenges.
• The COVID-19 pandemic highlights the need for adaptable behavioral science approaches.

Purpose of the Study:

• To propose and detail a reinvigorated functional analysis method: process-based functional analysis.
• To integrate contextual behavioral science with an extended evolutionary meta-model.
• To demonstrate the utility of this approach in addressing novel challenges, using COVID-19 as a case study.

Main Methods:

• Developing a process-based functional analysis framework.
• Integrating principles from contextual behavioral science and evolutionary meta-models.
• Utilizing the psychological flexibility model as an illustrative example.

Main Results:

• Process-based functional analysis offers a flexible and applicable method for novel situations.
• This approach addresses limitations of classical functional analysis.
• It facilitates interaction between different scientific disciplines and intervention strategies.

Conclusions:

• Process-based functional analysis provides a robust framework for behavioral science to address contemporary challenges.
• This method enhances immediate practical value and long-term understanding of human complexity.
• It offers a path forward for behavioral science to meet global challenges effectively.