Allen Diane D, Wilson Mark
Graduate School of Education, University of California, Berkeley, CA 94720, USA.
Health Educ Res. 2006 Dec;21 Suppl 1:i73-i84. doi: 10.1093/her/cyl086. Epub 2006 Oct 3.
When measuring participant-reported attitudes and outcomes in the behavioral sciences, there are many instances when the common measurement assumption of unidimensionality does not hold. In these cases, the application of a multidimensional measurement model is both technically appropriate and potentially advantageous in substance. In this paper, we illustrate the usefulness of a multidimensional approach to measurement using an empirical example taken from the Behavior Change Consortium. Data from the Treatment Self-Regulation Questionnaire have been analyzed to investigate whether self-regulation can be regarded as a single construct, or if it has multiple dimensions based on the type of regulation or motivation that participants say helps them consider an improvement in healthy behavior. Comparison with consecutive analyses shows the advantages of multidimensional measurement for interpreting participant-reported data.
在行为科学中测量参与者报告的态度和结果时，存在许多情况，即常见的单维测量假设不成立。在这些情况下，应用多维测量模型在技术上是合适的，并且在实质上可能具有优势。在本文中，我们使用来自行为改变联盟的一个实证例子来说明多维测量方法的有用性。对治疗自我调节问卷的数据进行了分析，以调查自我调节是否可以被视为一个单一的结构，或者根据参与者所说的有助于他们考虑改善健康行为的调节类型或动机，它是否具有多个维度。与连续分析的比较显示了多维测量在解释参与者报告数据方面的优势。
