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Examples of Model-Data Fit Studies

1985
In the previous chapter, a set of steps and techniques were introduced for conducting goodness-of-fit investigations. The purpose of this chapter is to highlight the applications of several of those techniques to the analysis of real data. Specifically, the results of fitting the one- and three-parameter logistic models to four mathematics tests in the
Ronald K. Hambleton   +1 more
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Impedance spectroscopy: Models, data fitting, and analysis

Solid State Ionics, 2005
Abstract First, several impedance spectroscopy models found useful for data fitting and interpretation of dielectric- and conductive-system frequency data are briefly summarized and compared. The first of these are the Kohlrausch KD model for dielectric-system response, representing the frequency response associated with stretched-exponential ...
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Fitting IRT Models to Dichotomous and Polytomous Data: Assessing the Relative Model–Data Fit of Ideal Point and Dominance Models

Applied Psychological Measurement, 2011
This study investigated the relative model—data fit of an ideal point item response theory (IRT) model (the generalized graded unfolding model [GGUM]) and dominance IRT models (e.g., the two-parameter logistic model [2PLM] and Samejima’s graded response model [GRM]) to simulated dichotomous and polytomous data generated from each of these models.
Louis Tay   +3 more
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Rater fairness in music performance assessment: Evaluating model-data fit and differential rater functioning

Musicae Scientiae, 2015
The purpose of this study was to investigate model-data fit and differential rater functioning in the context of large group music performance assessment using the Many-Facet Rasch Partial Credit Measurement Model. In particular, we sought to identify whether or not expert raters’ ( N = 24) severity was invariant across four school levels (middle ...
Brian C. Wesolowski   +2 more
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Assessment of Item Response Model-Data Fit Via Bayesian Limited Information Model Comparison Posterior Predictive Checks

Multivariate Behavioral Research, 2019
Model-data fit is critical to ensure valid interpretations of test scores. Recently, emphasis has been placed on Bayesian psychometric models.
Catherine E. Mintz   +2 more
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sj-docx-1-msx-10.1177_1029864915589014 – Supplemental material for Rater fairness in music performance assessment: Evaluating model-data fit and differential rater functioning

2023
Supplemental material, sj-docx-1-msx-10.1177_1029864915589014 for Rater fairness in music performance assessment: Evaluating model-data fit and differential rater functioning by Brian C. Wesolowski, Stefanie A.
Wesolowski, Brian C.   +2 more
openaire   +1 more source

Fitting a mixture of von Mises distributions in order to model data on wind direction in Peninsular Malaysia

Energy Conversion and Management, 2013
A statistical distribution for describing wind direction provides information about the wind regime at a particular location. In addition, this information complements knowledge of wind speed, which allows researchers to draw some conclusions about the energy potential of wind and aids the development of efficient wind energy generation.
N. Masseran   +3 more
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Supplemental Material, IRT_Model_Fit-Supplemental_Material-121718 - Advancing and Evaluating IRT Model Data Fit Indices in Organizational Research

2019
Supplemental Material, IRT_Model_Fit-Supplemental_Material-121718 for Advancing and Evaluating IRT Model Data Fit Indices in Organizational Research by Christopher D.
Nye, Christopher D.   +3 more
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Individualising Gentamicin Dosage Regimens

Clinical Pharmacokinetics, 1991
The various components required for individualising clinical drug dosage regimens are reviewed, including a study of 3 types of fitting procedures, 2 types of gentamicin pharmacokinetic model and the utility of D-optimal times for obtaining serum gentamicin concentrations.
R W, Jelliffe   +4 more
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Investigation of goodness of model data fit using PLSR and PCR regression models to determine informative wavelength band in NIR region for non-invasive blood glucose prediction

Optical and Quantum Electronics, 2019
Diabetes mellitus is a metabolic disorder characterized by the deficiency in insulin secretion or insulin action on target tissues. Diabetes being diagnosed, requires frequent monitoring. Current measurement techniques are invasive in nature, which is painful.
S. Vasanthadev Suryakala, Shanthi Prince
openaire   +1 more source

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