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Scale Reliability Evaluation With Heterogeneous Populations

机译：异构种群的量表可靠性评估

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摘要

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.
机译：讨论了一种潜在变量建模方法，用于评估异构种群中的规模可靠性。该方法可用于代表未知数目的潜在类别或亚群的混合物的群体中多组分测量仪器可靠性的点和区间估计。该程序还有助于评估可能的类间可靠性差异以及类内可靠性系数。当研究不同的种群时，估计方法可以类似地用于具有已知类别成员资格的经验环境中，事先知道其数量并针对所研究的受试者观察其成员资格，或者在仅知道潜在类别数量的环境中使用估计方法。还概述了用于评估异类总体中的最大可靠性或系数α的方法的修改和扩展。讨论的过程用数字数据说明。

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