Raykov Tenko, Marcoulides George A, Tong Bing
Michigan State University, East Lansing, MI, USA.
University of California, Santa Barbara, CA, USA.
Educ Psychol Meas. 2016 Oct;76(5):873-884. doi: 10.1177/0013164415604705. Epub 2015 Sep 17.
A latent variable modeling procedure is discussed that can be used to test if two or more homogeneous multicomponent instruments with distinct components are measuring the same underlying construct. The method is widely applicable in scale construction and development research and can also be of special interest in construct validation studies. The approach can be readily utilized in empirical settings with observed measure nonnormality and/or incomplete data sets. The procedure is based on testing model nesting restrictions, and it can be similarly employed to examine the collapsibility of latent variables evaluated by multidimensional measuring instruments. The outlined method is illustrated with two data examples.
讨论了一种潜在变量建模程序，该程序可用于检验两个或多个具有不同成分的同质多成分测量工具是否在测量相同的潜在结构。该方法在量表构建和发展研究中广泛适用，在结构效度研究中也可能特别有用。该方法可在观测测量不服从正态分布和/或数据集不完整的实证环境中轻松应用。该程序基于检验模型嵌套限制，并且可以类似地用于检验由多维测量工具评估的潜在变量的可折叠性。通过两个数据示例说明了所概述的方法。
