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Model-data fit evaluation: item fit and model selection
2023Alberto Maydeu-Olivares +3 more
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Journal of Biological Systems
In this paper, we construct a COVID-19 dynamic model that included both the initial and reinfected population compartments, and conduct a structural identifiability analysis of the model parameters to ensure the robustness of the parameter fitting results. We use some actual statistical data from North Carolina to fit the model and estimate the values
JIE YANG, XUAN WANG, JIE LOU
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In this paper, we construct a COVID-19 dynamic model that included both the initial and reinfected population compartments, and conduct a structural identifiability analysis of the model parameters to ensure the robustness of the parameter fitting results. We use some actual statistical data from North Carolina to fit the model and estimate the values
JIE YANG, XUAN WANG, JIE LOU
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Educational and Psychological Measurement, 2008
The major purpose of this study is to describe a conceptual framework for examining differential item functioning (DIF) and differential person functioning (DPF) as types of model—data misfit within the context of assessing students with disabilities. Specifically, DIF and DPF can be viewed through the lens of residual analyses.
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The major purpose of this study is to describe a conceptual framework for examining differential item functioning (DIF) and differential person functioning (DPF) as types of model—data misfit within the context of assessing students with disabilities. Specifically, DIF and DPF can be viewed through the lens of residual analyses.
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Journal of applied measurement, 2017
This study describes an approach for examining model-data fit for the dichotomous Rasch model using Tukey-Hann item response functions (TH-IRFs). The procedure proposed in this paper is based on an iterative version of a smoothing technique proposed by Tukey (1977) for estimating nonparametric item response functions (IRFs).
Jeremy Kyle, Jennings, George, Engelhard
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This study describes an approach for examining model-data fit for the dichotomous Rasch model using Tukey-Hann item response functions (TH-IRFs). The procedure proposed in this paper is based on an iterative version of a smoothing technique proposed by Tukey (1977) for estimating nonparametric item response functions (IRFs).
Jeremy Kyle, Jennings, George, Engelhard
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An Investigation of Goodness of Model Data Fit
2014Madde Tepki Kuramına (MTK) dayanan modellerin avantajı, model veri uyumu sağlandığında görülebilir. Bu nedenle bu çalışma ÖZDEBİR ÖSS 2004 D-II Sınavının Fen Testinden elde edilen verilere MTK’ya dayanan modellerden hangisinin en iyi uyum sağlayacağını araştırmayı amaçlamıştır.
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Model-data fit evaluation: posterior checks and Bayesian model selection
2023Allison Ames Boykin +2 more
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Simple nonparametric checks for model data fit in CAT
2005In this paper, the usefulness of several nonparametric checks is discussed in a computerized adaptive testing (CAT) context. Although there is no tradition of nonparametric scalability in CAT, it can be argued that scalability checks can be useful to investigate, for example, the quality of item pools.
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Model-Data Fit for Polytomous Rating Scale Models
2017George Engelhard, Stefanie A. Wind
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