解释问答题因子分数的估计

Yuya Yokoyama, T. Hochin, Hiroki Nomiya, T. Satoh
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引用次数: 2

摘要

为了避免提问者和被调查者不匹配的问题,我们进行了印象评价实验,得到了九个因素。然后尝试用多元回归分析从语句的特征值估计任何其他语句的因子得分。以语句的句法信息、词的可意象性和闭句表达式作为特征值,可以很好地估计出各因素的得分。本文试图用主要特征值来解释估计结果。通过比较具有高和低因子得分的陈述的特征与主要特征,可以证实这一解释。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Explaining Estimation of Factor Scores of Question and Answer Statements
In order to avoid the problem of mismatch between the questioner and the respondent, we have conducted impression evaluation experiment and nine factors are obtained as a result. Then factor scores of any other statements have been tried to be estimated by using multiple regression analysis from feature values of statements. By adopting syntactic information of statements, word imageability and closing sentence expressions as the feature values, all the factor scores were well estimated. This paper tries to explain the estimation result with major feature values. The explanation is confirmed by comparing the features of the statements having high and low factor scores with the major features.
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