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Mudfold: A nonparametric Item Response Theory model for unidimensional unfolding

Balafas, S. (2016) Mudfold: A nonparametric Item Response Theory model for unidimensional unfolding. Master's Thesis / Essay, Mathematics.

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Preferences, choices and attitudes are observations which are modelled in Statistics with the use of latent variables. These variables are not directly measurable and their values are obtained from other indicator variables called items. The study which handles and analyzes the responses from a population to a set of items in a statistical context, is known as Item Response Theory (IRT). MUDFOLD (Multiple UniDimensional unFOLDing) is a nonparametric model in the class of Item Response Theory models for unfolding unidimensional latent variables constructed from dichotomous responses. The distinctive feature of MUDFOLD compared to other nonparametric approaches is its item response function (IRF) which shows a sinle peaked shape. Nonparametric item response models (NIRM) are statistical methods that are used to analyze item response data collected in a sample of individuals to find out whether or not the items can be considered to be indicators of the same hypothetical construct.

Item Type: Thesis (Master's Thesis / Essay)
Degree programme: Mathematics
Thesis type: Master's Thesis / Essay
Language: English
Date Deposited: 15 Feb 2018 08:10
Last Modified: 15 Feb 2018 08:10

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