Pluriversal Conditional Process Analysis: Methodological Synergies Between Hayes' Regression-Based Framework and the Bagani-Bayani-Bayanihan-Kahampatan Indigenous Heroism Ontology

This paper presents a comprehensive methodological dialogue between Andrew F. Hayes' conditional process analysis framework (2015-2023) and Paul Pajo's indigenous Filipino heroism-flourishing framework. We demonstrate how specific Hayes innovations directly address Pajo's indigenous ontology while Pajo's framework simultaneously exposes limitations in Hayes' Western-centric applications. The analytical power emerges from their dialectical application: Hayes provides statistical architecture for operationalizing indigenous concepts, while Pajo provides theoretical framework for extending methods beyond linear, individualistic assumptions. This synergy creates a pluriversal methodological paradigm honoring both statistical rigor and cultural wisdom. We provide step-by-step implementation guidance for researchers applying Hayes' PROCESS macro (v4.3+), MEDYAD for dyadic data, and SEM extensions to indigenous contexts. Through detailed case analyses of the Bagani-Bayani-Bayanihan-Kahampatan pathway, we reveal four specific synergies: pathway differentiation power, temporal contingency power, relational architecture power, and cyclical systems power. We develop four methodological advances: cultural validity indices, spiral mediation modeling, collective mediation frameworks, and eco-spiritual moderation. This integration advances our collective understanding of how diverse peoples conceptualize and pursue human flourishing across epistemological divides. Statistically Improbable Phrases (SIPs): analytical power, bagani score, bayani score, bayanihan frequency, conditional process analysis, dyadic data, eco spiritual, ginhawa index, Hayes' framework, heroism flourishing, indirect effect, kahampatan total, kapwa index, moderated mediation, Pajo's framework, pluriversal methodological, process macro, serial mediation, statistical architecture