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The rising number of undecided individuals in pre-election polls constitutes a severe problem for conventional surveys and methodology, permitting only precise answers to the question about which party respondents plan to vote for. Hereby, these growing subgroups, undecided between specific parties are neglected and uncertainty attached to the answers is not accounted for. This thesis proposes to extend the traditional question about party preference to the possibility of a set valued answer, if the individual is incapable to state one precise party, allowing undecided participants to express their position in an accurate manner. The resulting set valued information can be analyzed under ontic or so-called epistemic imprecision, while we focus on the ontic, considering each group of individuals undecided between specific parties as an entity of its own and therefore enabling choice modeling for these groups of interest. Hereby, the state space of the original nominal and finite set of the single parties is extended to its power set, on which all conventional methodology is applicable. The new approach of discrete choice models under ontic imprecision is implemented using the dataset from the German Longitudinal Election Study for the federal election in 2017, providing sufficient information for an artificial construction of an ontic variable. The multinomial logit model is used for choice modeling and applied to this data using regularization for variable selection. Within the results, some differences to the conventional model are apparent, stressing the virtue of our novel, more differentiated and accurate approach, while more detailed information is provided by including the groups undecided between specific parties. This thesis can be seen as a step towards the solution of the chicken-egg-dilemma resulting from the lack of surveys including the set valued question as well as missing methodology for such data.
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http://nbn-resolving.de/urn/resolver.pl?urn=nbn:de:bvb:19-epub-70668-4. (GLES)
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GLES-Bibliography
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10. Fassung, Dezember 2020
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Examining Undecided Voters in Multiparty Systems
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mastersthesis
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33, 2019
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Bibsonomy
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German Longitudinal Election Study (GLES)
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2019
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FDZ_Wahlen
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GLES
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GLES_input2020
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GLES_pro
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GLES_version10
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english
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jak
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mastersthesis
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select
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transfer20
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