Journal of Contextual Behavioral Science (JCBS)
Volume 40, April 2026
Authors
Hannah F. Yee, Madeleine I. Fraser, Joseph Ciarrochi, Baljinder Sahdra, Keong Yap, Steven C. Hayes, Cristóbal Hernández, & Andrew T. Gloster
Key Findings
- Explores the link between psychological flexibility (PF) processes and mood using ESM.
- We compare traditional normative and novel idionomic statistical approaches.
- Idionomics explored PF processes with more depth and sensitivity than normative approaches.
- The link varies depending on the individual, each PF process, and over time.
- We encourage researchers and clinicians to review their use of normative approaches.
Abstract
Past research has relied on normative analyses for establishing the positive relationship between psychological flexibility (PF) process and well-being. These analyses, however, assume that aggregate-level effects (i.e., this positive relationship) also apply to most individuals, limiting our ability to explore the dynamic and complex nature of PF processes that interact with individual factors. Idionomic analyses, which use idiographic effects as a foundation from which to draw normative conclusions, provide a possible solution. This study used idionomic analysis to assess the degree of non-random individual heterogeneity in the relationship between each PF process and mood, how this relationship changes over time, and the unique effects of each process. From a pre-existing dataset, we analysed data from 103 psychiatric patients (Mage = 37 years, SD = 11.7 years; 47% male) who completed an ACT intervention. Experience sampling methods were used to repeatedly measure PF processes and mood at pre- and post-intervention. Traditional normative analyses showed an average positive relationship between each PF process and mood. However, idionomic analyses uncovered significant person-specific heterogeneity for several PF processes. The strength and direction of each relationship varied depending on the person, the specific PF process, and the temporal effects that were masked in the aggregate findings. We highlight the value of idionomic analyses in capturing, with greater depth and precision, within-person heterogeneity in the PF process-mood relationship. Idionomics has the potential to advance our development of empirically-based and personalised interventions, thus going beyond the general statement of “it depends” to a specification of how it does so.