In sample surveys where people are asked to express their opinions, a high level of indecision among respondents may generate sub-optimal statistical analyses caused by large heterogeneity in the responses. We discuss a model belonging to the class of generalized cub models that is suitable for this kind of surveys. Then, we examine a real case study where the observed heterogeneity as well as respondents’ indecision can be analyzed within the theoretical framework of the proposed model leading to convincing interpretations. A comparison with current literature and some concluding remarks end the paper.
An Inflated Model to Account for Large Heterogeneity in Ordinal Data / Capecchi, Stefania; Simone, Rosaria; Piccolo, Domenico. - 195089(2017), pp. 205-217. (Intervento presentato al convegno 15th Conference of the International Federation of Classification Societies, IFCS 2015 tenutosi a ita nel 2015) [10.1007/978-3-319-55723-6_16].
An Inflated Model to Account for Large Heterogeneity in Ordinal Data
Capecchi Stefania;Simone Rosaria;Piccolo Domenico
2017
Abstract
In sample surveys where people are asked to express their opinions, a high level of indecision among respondents may generate sub-optimal statistical analyses caused by large heterogeneity in the responses. We discuss a model belonging to the class of generalized cub models that is suitable for this kind of surveys. Then, we examine a real case study where the observed heterogeneity as well as respondents’ indecision can be analyzed within the theoretical framework of the proposed model leading to convincing interpretations. A comparison with current literature and some concluding remarks end the paper.File | Dimensione | Formato | |
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