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关于李克特量表得分与基于拉施模型的测量之间缺乏共单调性的问题。

On the lack of comonotonicity between likert scores and Rasch-based measures.

作者信息

Bertoli-Barsotti Lucio

机构信息

Department of Mathematics, Statistics, Computer Science and Applications, University of Bergamo, I-24127 Bergamo, Italy.

出版信息

J Appl Meas. 2005;6(1):71-9.

Abstract

The Rating Scale Model (RSM) and the Partial Credit Model (PCM) are fairly well-known examples of Rasch models for polytomously scored items. In addition to a number of threshold parameters, both the models contain two scalar parameters characterizing item and person location on a common interval-level scale. The rank order of items and persons defined by the Likert summative scores (i.e. the raw total scores) is compared with that obtained from the Rasch-based measures (i.e. the maximum likelihood estimates of person and item parameters). It is proved that: 1) the property of comonotonicity between Likert summative scores and Rasch-based measures holds for both the person and item parameters of the RSM; 2) the property of comonotonicity between Likert summative scores and Rasch-based measures holds for the PCM only with reference to the person parameters; 3) violations of comonotonicity are possible, for particular datasets, for the item parameters of the PCM.

摘要

评分量表模型(RSM)和部分计分模型(PCM)是用于多分类计分项目的Rasch模型中相当著名的例子。除了一些阈值参数外,这两个模型都包含两个标量参数,用于在共同的区间水平量表上表征项目和人员的位置。将由李克特累加分数(即原始总分)定义的项目和人员的排名顺序与从基于Rasch的测量中获得的排名顺序(即人员和项目参数的最大似然估计)进行比较。结果证明:1)对于RSM的人员和项目参数,李克特累加分数与基于Rasch的测量之间的共单调性属性均成立;2)李克特累加分数与基于Rasch的测量之间的共单调性属性仅在涉及人员参数时对于PCM成立;3)对于特定数据集,PCM的项目参数可能会出现共单调性违反的情况。

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