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The model can be thought of as a virtual receptor.
The MESE model can be thought to have J measures of X i where J is the number of items on the test.
The basic urn model can be thought of as describing what happens with absent external shocks or significant internal policy changes.
The m γ component of the model can be thought of as capturing preferential attachment, and we focus on the simplest case where γ=1.
Marriage in the model can be thought of as an agreement between the husband and the wife over the division of household resources among them and their children.
The model can be thought of as a recipe book that allows users to explore identity in a number of different ways.
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IRT models can be thought of as a generalization of mixed effects logistic regression models (Stiratelli et al. [1984]).
Dynamic approaches to data-driven computational modeling can be thought of as the "gears" and "hands" of the "clock," and have led to insights regarding principal drivers, dynamic networks, feedbacks, and regulatory switches.
Measurement error in IRT models can be thought of as the standard error of estimation for θ i from the pattern of scored item responses from examinee i (van der Linden and Hambleton [1997]).
The future models can be thought of as representing null expectations, sans interspecific biotic parameters and assuming unlimited dispersal ability.
Network models can be thought of as a unifying framework within which metapopulation models and individual-based models are contained.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com