Ordinal Data Models for No-Opinion Responses in Attitude Survey

Maria Iannario, Marica Manisera, Domenico Piccolo and Paola Zuccolotto

Sociological Methods & Research, 2020, vol. 49, issue 1, 250-276

Abstract: 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.

Keywords: category rating; don’t know responses; ordinal data; CUB models; covariates (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:sae:somere:v:49:y:2020:i:1:p:250-276

DOI: 10.1177/0049124118769081

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