Dudley William N, Benuzillo Jose G, Carrico Mineh S
Emma Eccels Jones Nursing Research Center, College of Nursing, University of Utah, USA.
Nurs Res. 2004 Jan-Feb;53(1):59-62. doi: 10.1097/00006199-200401000-00009.
Mediation modeling can explain the nature of the relation among three or more variables. In addition, it can be used to show how a variable mediates the relation between levels of intervention and outcome. The Sobel test, developed in 1990, provides a statistical method for determining the influence of a mediator on an intervention or outcome. Although interactive Web-based and stand-alone methods exist for computing the Sobel test, SPSS and SAS programs that automatically run the required regression analyses and computations increase the accessibility of mediation modeling to nursing researchers.
To illustrate the utility of the Sobel test and to make this programming available to the Nursing Research audience in both SAS and SPSS.
The history, logic, and technical aspects of mediation testing are introduced. The syntax files sobel.sps and sobel.sas, created to automate the computation of the regression analysis and test statistic, are available from the corresponding author.
The reported programming allows the user to complete mediation testing with the user's own data in a single-step fashion. A technical manual included with the programming provides instruction on program use and interpretation of the output.
Mediation modeling is a useful tool for describing the relation between three or more variables. Programming and manuals for using this model are made available.
中介效应模型可以解释三个或更多变量之间关系的本质。此外，它还可用于展示一个变量如何中介干预水平与结果之间的关系。1990年开发的索贝尔检验提供了一种统计方法，用于确定中介变量对干预或结果的影响。虽然存在基于网络交互和独立的方法来计算索贝尔检验，但能自动运行所需回归分析和计算的SPSS和SAS程序提高了护理研究人员对中介效应模型的可及性。
阐述索贝尔检验的效用，并以SAS和SPSS两种程序的形式向护理研究受众提供此编程。
介绍中介效应检验的历史、逻辑和技术方面。为自动化回归分析和检验统计量计算而创建的语法文件sobel.sps和sobel.sas可从通讯作者处获取。
所报告的编程允许用户使用自己的数据以单步方式完成中介效应检验。编程附带的技术手册提供了程序使用说明和输出解释。
中介效应模型是描述三个或更多变量之间关系的有用工具。提供了使用该模型的编程和手册。
