对启动博士课程动机的有序配对比较数据建模的对数线性方法

R. Dittrich, R. Hatzinger, W. Katzenbeisser
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引用次数: 25

摘要

本文的目的是提出一个相邻类别配对比较(AC)模型的替代对数线性表示。AC模型通过假设响应类别和偏好一个对象优于另一个对象的概率之间的幂关系,非常适合于对有序PC数据进行建模。该模型应用于收集的关于维也纳学生开始攻读博士课程动机的数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A log-linear approach for modelling ordinal paired comparison data on motives to start a PhD programme
The purpose of this paper is to propose an alternative log-linear representation of an adjacent categories (AC) paired comparison (PC) model. The AC model is well suited for modelling ordinal PC data by postulating a power relationship between the response category and the probability of preferring one object over another object. The model is applied to data collected on the motivation of Vienna students to start a doctoral programme of study.
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