Ordinal Data Models for No-Opinion Responses in Attitude Survey
Ordinal Data Models for No-Opinion Responses in Attitude Survey
复制标题
态度调查中无意见响应的序数数据模型
DOI：
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发表时间：
2020
期刊：
影响因子：
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通讯作者：
P. Zuccolotto
中科院分区：
文献类型：
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作者：
M. Iannario;Marica Manisera;D. Piccolo;P. Zuccolotto
在分析态度调查的数据时，人们通常认为“不知道”的回答缺少价值。在这篇文章中，我们提出了一个常用的统计模型，用于分析以Likert量表表示的回答/评价，并将其扩展到考虑未知回答的存在。主要目标是提供一种替代通常习惯的方法，通过将它们视为不确定性的来源来将它们视为缺失值。本文最初的建议是引入相关协变量，以区分在实质性回答和未知选项之间做出选择时可能表现出不同行为的子总体。
In analyzing data from attitude surveys, it is common to consider the “don’t know” responses as missing values. In this article, we present a statistical model commonly used for the analysis of responses/evaluations expressed on Likert scales and extended to take into account the presence of don’t know responses. The main objective is to offer an alternative to the usual custom to treat them as missing values by considering them as a source of uncertainty. The original proposal in this article is the introduction of the relevant covariates in order to discriminate subpopulations that can show different behaviors in choosing between a substantive response and the don’t know option.