Organizational research has a rich tradition of multilevel investigations anchored in a long-standing recognition that conclusions obtained at the individual level of analysis cannot be expected to generalize at other levels. Doubly latent multilevel methods, which provide the way to combine multilevel analyses and structural equation models into a single analytic framework, enrich this tradition. Yet, some critical technical considerations have yet to be systematically integrated in applied research. This article aims to introduce organizational researchers to the estimation of doubly latent multilevel models while taking into account: (a) The need to systematically assess the multilevel measurement structure of the constructs included in the study; (b) the various types of measurement errors that can be controlled for (rather than simply estimated) as part of these models; (c) the importance of relying on a clear understanding of contextual versus climate constructs given their role in centering decisions. These issues are illustrated by an investigation of the multilevel relations between psychological empowerment, psychological health, and turnover intentions among a large sample (N = 5875 employees nested within 49 work units) of Canadian Defence employees.

组织研究具有多层次调查的丰富传统，长期以来一直存在着这样的认识，即人们不能期望在单个分析层次上得出的结论可以在其他层次上推广。双潜在多级方法提供了将多级分析和结构方程模型组合到单个分析框架中的方式，丰富了这一传统。然而，一些关键的技术考虑还没有被系统地整合到应用研究中。本文旨在向组织研究人员介绍双重潜伏多层次模型的估计，同时考虑到：（a）需要系统地评估研究中所包括结构的多层次度量结构；（b）作为这些模型的一部分可以控制（而不是简单地估计）的各种类型的测量误差；（c）鉴于上下文和气候结构在集中决策中的作用，必须依靠对上下文结构和气候结构的清晰理解。通过对大样本中的心理授权，心理健康和离职意图之间的多层次关系进行调查，可以说明这些问题（N = 5875名员工（嵌套在49个工作单元内）加拿大国防部员工。