Raykov Tenko, DiStefano Christine
Michigan State University, East Lansing, MI, USA.
University of South Carolina, Columbia, SC, USA.
Educ Psychol Meas. 2022 Oct;82(5):1020-1030. doi: 10.1177/00131644211019447. Epub 2021 Jun 4.
A latent variable modeling-based procedure is discussed that permits to readily point and interval estimate the design effect index in multilevel settings using widely circulated software. The method provides useful information about the relationship of important parameter standard errors when accounting for clustering effects relative to conducting single-level analyses. The approach can also be employed as an addendum to point and interval estimation of the intraclass correlation coefficient in empirical research. The discussed procedure makes it easily possible to evaluate the design effect in two-level studies by utilizing the popular latent variable modeling methodology and is illustrated with an example.
本文讨论了一种基于潜在变量建模的方法，该方法允许使用广泛传播的软件在多水平设置中轻松地进行点估计和区间估计设计效应指数。该方法提供了关于重要参数标准误差之间关系的有用信息，即在考虑聚类效应时相对于进行单水平分析的情况。该方法还可以用作实证研究中组内相关系数点估计和区间估计的补充。所讨论的方法通过使用流行的潜在变量建模方法，使得在两级研究中评估设计效应变得容易，并通过一个例子进行了说明。
