A Preregistered Analytic Framework for Modeling Information, Coherence, and System Dynamics

This preregistered study presents a structured analytic framework for examining relationships among information measures, coherence indicators, and system‑level dynamics. All inferential criteria, model‑selection rules, and data‑handling procedures were specified in advance to ensure transparency and reduce analytic flexibility. Primary analyses evaluate hypothesized associations using two‑tailed tests, standardized effect sizes, and model‑fit indices, with procedures for outlier detection, missing data, and multiple‑comparison control defined prior to analysis. Secondary and exploratory analyses assess robustness across alternative specifications and identify potential emergent patterns beyond the confirmatory models. The overarching aim of this work is to provide a reproducible methodological foundation for studying complex systems and to support future empirical and theoretical development in this domain.