Model misspecification of formative indicators remains a widely documented issue across academic literature, yet scholars lack a clear consensus on pragmatic, prescriptive approaches to manage this gap. This ambiguity forces researchers to rely on psychometric frameworks primarily intended for reflective models, and thus risks misleading findings. This article introduces a Multi-Step Validation Methodology Framework specifically designed for formative constructs in survey-based research. The proposed framework is grounded in an exhaustive literature review and integrates essential pilot diagnostics through descriptive statistics and multicollinearity checks. The methodology provides researchers with the necessary theoretical and structural clarity to finally justify and adhere to appropriate validation techniques that accurately account for the causal nature of the constructs while ensuring high psychometric and statistical integrity.

翻译：形成性指标的模型误设问题在学术文献中已被广泛记载，然而学者们对于管理这一差距的实用性与规范性方法仍缺乏明确共识。这种模糊性迫使研究者依赖主要为反映性模型设计的心理测量框架，从而存在得出误导性结论的风险。本文提出一种专门为基于调查研究中形成性构念设计的“多步骤验证方法学框架”。该框架基于详尽的文献综述，并通过描述性统计与多重共线性检验整合了必要的预测试诊断。该方法学为研究者提供了必要的理论与结构清晰度，使其最终能够论证并遵循恰当的验证技术，这些技术既能准确解释构念的因果本质，又能确保高度的心理测量学与统计学完整性。