Raykov Tenko, Marcoulides George A
Michigan State University, East Lansing, MI, USA.
University of California at Santa Barbara, CA, USA.
Educ Psychol Meas. 2015 Oct;75(5):875-892. doi: 10.1177/0013164414558587. Epub 2014 Nov 25.
A latent variable modeling approach for scale reliability evaluation in heterogeneous populations is discussed. The method can be used for point and interval estimation of reliability of multicomponent measuring instruments in populations representing mixtures of an unknown number of latent classes or subpopulations. The procedure is helpful also for evaluation of possible between-class reliability differences as well as of within-class reliability coefficients. The estimation approach can similarly be used in empirical settings with known class membership when distinct populations are investigated, their number is known beforehand and membership in them is observed for the studied subjects, or alternatively in settings where only the number of latent classes is known. A modification and extension of the method for evaluation of maximal reliability or coefficient alpha in heterogeneous populations are also outlined. The discussed procedure is illustrated with numerical data.
讨论了一种用于异质人群量表信度评估的潜在变量建模方法。该方法可用于对代表未知数量潜在类别或亚人群混合体的人群中多成分测量工具的信度进行点估计和区间估计。该程序对于评估类间可能的信度差异以及类内信度系数也很有帮助。当研究不同人群时，如果已知类别成员身份、预先知道其数量并且观察到研究对象在其中的成员身份，或者在仅知道潜在类别的数量的情况下，该估计方法同样可以用于实证研究。还概述了该方法在异质人群中评估最大信度或α系数的修改和扩展。用数值数据说明了所讨论的程序。
