Schroeder M A
University of South Carolina College of Nursing, Columbia.
West J Nurs Res. 1990 Apr;12(2):175-84; discussion 184-7. doi: 10.1177/019394599001200204.
The purpose of this article was to increase nurse researchers' awareness of the effects of collinear data in developing theoretical models for nursing practice. Collinear data distort the true value of the estimates generated from ordinary least-squares analysis. Theoretical models developed to provide the underpinnings of nursing practice need not be abandoned, however, because they fail to produce consistent estimates over repeated applications. It is also important to realize that multicollinearity is a data problem, not a problem associated with misspecification of a theorectical model. An investigator must first be aware of the problem, and then it is possible to develop an educated solution based on the degree of multicollinearity, theoretical considerations, and sources of error associated with alternative, biased, least-square regression techniques. Decisions based on theoretical and statistical considerations will further the development of theory-based nursing practice.
本文的目的是提高护理研究人员对共线数据在为护理实践开发理论模型过程中所产生影响的认识。共线数据会扭曲普通最小二乘法分析得出的估计值的真实值。然而，为护理实践提供理论基础而开发的理论模型不必被摒弃，因为它们在重复应用时未能产生一致的估计值。同样重要的是要认识到，多重共线性是一个数据问题，而非与理论模型设定错误相关的问题。研究人员首先必须意识到这个问题，然后才有可能根据多重共线性的程度、理论考量以及与替代的、有偏差的最小二乘回归技术相关的误差来源，制定出明智的解决方案。基于理论和统计考量做出的决策将推动基于理论的护理实践的发展。
