Process and Variance Modeling
讨论了过程模型与方差模型的基本差异和假设，并围绕时间与因果、测量与操作化、模型设定三个关键问题，联系家族企业研究中的常见挑战，为特刊中的四篇文章做导引。
Models are an important component of research design that serve as intermediaries between theories and data, often directing decisions about methods and statistics. This article discusses the basic differences and assumptions associated with process and variance models as a way of introducing the four articles contained within this special issue of Family Business Review on “Process and Variance Methods.” Specifically, we highlight three key issues regarding modeling—time and causality, measurement and operationalization, and model specification—making specific ties to the challenges often associated with family business research.