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- W4380550800 abstract "This study provides a review and discussion of unfolding models for unidimensional polytomous data. Unfolding models (ideal point models) have a single-peaked response function. Unfolding models offer an underutilized and alternative approach to cumulative item response theory models for examining measurement data. Engelhard and Yuan (J Appl Measur, in press) described the basic principles of several key unfolding models for dichotomous responses. This study extends this work to graded responses. The study revisits main polytomous unfolding models including the Generalized Hyperbolic Cosine model (Andrich, Br J Math Stat Psychol 49(2):347–365, 1996), Graded Unfolding Model (Roberts and Laughlin, Appl Psychol Measur 20(3):231–255, 1996), Generalized Graded Unfolding Model (Roberts et al., Appl Psychol Measur 24(1):3–32, 2000), and nonparametric unfolding models for multicategory data (van Schuur, Polit Anal 4:41–74, 1992). One of the major goals of this study is to highlight the underlying principles, formulations, measurement properties, and implementations of selected polytomous unfolding models. The main purpose of this study is to call attention to the use of unfolding models for polytomous responses for modeling measurement data. The study also highlights the importance of using cumulative versus unfolding models for attitude measurement." @default.
- W4380550800 created "2023-06-14" @default.
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- W4380550800 date "2023-01-01" @default.
- W4380550800 modified "2023-09-25" @default.
- W4380550800 title "A Historical Perspective on Polytomous Unfolding Models" @default.
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- W4380550800 doi "https://doi.org/10.1007/978-3-031-27781-8_4" @default.
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