Raykov Tenko, Pusic Martin
Michigan State University, East Lansing, USA.
Harvard University, Boston, MA, USA.
Educ Psychol Meas. 2025 Jun;85(3):527-538. doi: 10.1177/00131644241259026. Epub 2024 Jun 24.
A procedure is outlined for point and interval estimation of location parameters associated with polytomous items, or raters assessing studied subjects or cases, which follow the rating scale model. The method is developed within the framework of latent variable modeling, and is readily applied in empirical research using popular software. The approach permits testing the goodness of fit of this widely used model, which represents a rather parsimonious item response theory model as a means of description and explanation of an analyzed data set. The procedure allows examination of important aspects of the functioning of measuring instruments with polytomous ordinal items, which may also constitute person assessments furnished by teachers, counselors, judges, raters, or clinicians. The described method is illustrated using an empirical example.
本文概述了一种程序，用于对与多分类项目相关的位置参数进行点估计和区间估计，这些多分类项目或评分者用于评估研究对象或病例，且遵循评分量表模型。该方法是在潜变量建模框架内开发的，并且可以很容易地应用于使用流行软件的实证研究中。该方法允许检验这个广泛使用的模型的拟合优度，该模型作为描述和解释分析数据集的一种手段，代表了一种相当简约的项目反应理论模型。该程序允许检查具有多分类有序项目的测量工具功能的重要方面，这些项目也可能构成教师、顾问、法官、评分者或临床医生提供的人员评估。文中使用一个实证例子说明了所描述的方法。
