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- W57724495 abstract "Item response theory (IRT) is widely applied to analyze educational and psychological assessments. Readily available IRT implementations allow for two common types of models: monotone models used for dominance scales (Guttman 1950; Rasch 1960/1980; Birnbaum 1968; Mokken 1971) and unfolding models used for proximity scales (Coombs, 1964; Andrich, 1996; Roberts, Donoghue and Laughlin, 2000). When an exam contains items following both types of models, there is currently no method to distinguish the item types, estimate their characteristics, or estimate the examinee characteristics. Thus, there is no existing methodology to simultaneously analyze items like “At a minimum, I am in favor of the economically disadvantaged receiving publicly funded private school vouchers” and “I am in favor of publicly funded private school vouchers only for the economically disadvantaged” on the same survey. The former is a monotone increasing item (all those favoring some sort of voucher are likely to agree) whereas the latter is an unfolding item (one could disagree because they were against all vouchers, or because they were in favor of everyone receiving them). This situation forces analysts either to choose subscales of only one item type or risk incorrect and misleading results. The goal for this study is to find a reasonable means to solve this problem in the dichotomous (or binary) case when unidimensionality holds. The first portion of this study (Chapter 2) attempts to identify these two item types in the mixed unfolding/monotone items exam (we call this a mixed exam). Two methods are discussed: the manifest monotonicity test (Sijtsma and Molenaar, 2002) and the p-value/biserial method based on classical item statistics. Simulation shows" @default.
- W57724495 created "2016-06-24" @default.
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- W57724495 date "2013-01-01" @default.
- W57724495 modified "2023-09-27" @default.
- W57724495 title "Modeling Mixed Unfolding/Monotone Dichotomous Item Exams" @default.
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