A Case-Centered Practical Application Framework for the Integrated Comparative Statement Analysis Model (I-CSAM) : Focusing on Its Theoretical Basis, Four Integrated Forms, and a Six-Stage Standard Procedure

Abstract

Purpose: This follow-up methodological study translates the five domains and 15 criteria of the Integrated Comparative Statement Analysis Model(I-CSAM), proposed by Gong(2025), into a case-centered procedure and a set of practical record forms. It also clarifies the framework’s intended scope and boundary conditions. Methods: Literature on memory and source monitoring, content-based credibility assessment, investigative interviewing, contextual bias, external evidence, competing explanations, and generative-AI risk management was reviewed and mapped to the model’s criteria and workflow. The procedure was then illustrated using ten de-identified hypothetical composite cases that were not derived from actual case records. Results: The study presents four integrated forms and a six-stage workflow with specified inputs, decision questions, outputs, and transition conditions. It also provides rules for segmenting minimal propositions, defining the observational scope of external evidence, formulating competing explanations, and assigning five proposition-level statuses: confirmed, partially confirmed, contradicted, unresolved, and data-limited. A completed example of Form 3 and a quality-control checklist for AI-assisted analysis are included. The cases show how the procedure distinguishes peripheral facts from core conduct, memory gaps from states of consciousness, initial reports from post-event information, and digital expressions from legal conclusions. Conclusion: This study does not newly test the accuracy or effectiveness of I-CSAM. Rather, it proposes a structured record-analysis procedure designed to make the reasoning process traceable and auditable. Its practical utility should be examined through subsequent blinded, multi-site studies of inter-rater agreement, proposition-level validity, and incremental effects.