Clayson Peter E, Miller Gregory A
Department of Psychology, University of California Los Angeles, Los Angeles, CA, United States.
Department of Psychology, University of California Los Angeles, Los Angeles, CA, United States; Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA, United States.
Int J Psychophysiol. 2017 Jan;111:68-79. doi: 10.1016/j.ijpsycho.2016.10.012. Epub 2016 Oct 18.
Generalizability theory (G theory) provides a flexible, multifaceted approach to estimating score reliability. G theory's approach to estimating score reliability has important advantages over classical test theory that are relevant for research using event-related brain potentials (ERPs). For example, G theory does not require parallel forms (i.e., equal means, variances, and covariances), can handle unbalanced designs, and provides a single reliability estimate for designs with multiple sources of error. This monograph provides a detailed description of the conceptual framework of G theory using examples relevant to ERP researchers, presents the algorithms needed to estimate ERP score reliability, and provides a detailed walkthrough of newly-developed software, the ERP Reliability Analysis (ERA) Toolbox, that calculates score reliability using G theory. The ERA Toolbox is open-source, Matlab software that uses G theory to estimate the contribution of the number of trials retained for averaging, group, and/or event types on ERP score reliability. The toolbox facilitates the rigorous evaluation of psychometric properties of ERP scores recommended elsewhere in this special issue.
概化理论（G理论）提供了一种灵活、多方面的方法来估计分数信度。G理论估计分数信度的方法相对于经典测验理论具有重要优势，这些优势与使用事件相关脑电位（ERP）的研究相关。例如，G理论不需要平行形式（即均值、方差和协方差相等），可以处理非平衡设计，并为具有多个误差源的设计提供单一的信度估计。本专著使用与ERP研究人员相关的示例详细描述了G理论的概念框架，介绍了估计ERP分数信度所需的算法，并详细介绍了新开发的软件——ERP信度分析（ERA）工具箱，该软件使用G理论计算分数信度。ERA工具箱是开源的Matlab软件，它使用G理论来估计保留用于平均的试验次数、组和/或事件类型对ERP分数信度的贡献。该工具箱有助于严格评估本期特刊其他地方推荐的ERP分数的心理测量特性。
