In analyzing data from attitude surveys, it is common to consider the “don’t know” responses as missing values. In this paper we firstly review 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 paper is the introduction of the relevant covariates in order to discriminate subpopulations which can show different behaviors in choosing between a substantive response or the “don’t know” option.
Ordinal data models for no-opinion responses in attitude surveys
Marica Manisera;Paola Zuccolotto
2020-01-01
Abstract
In analyzing data from attitude surveys, it is common to consider the “don’t know” responses as missing values. In this paper we firstly review 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 paper is the introduction of the relevant covariates in order to discriminate subpopulations which can show different behaviors in choosing between a substantive response or the “don’t know” option.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
