Thesis (Ph.D.) -- University of Texas at Arlington, 2008.

Thesis (Ph. D.)--State University of New York at Buffalo, 2001. / "September, 2001." Includes bibliographical references (leaves 129-137). Also available in print.

Thesis (M.S.)--University of North Texas, May, 2009. / Title from title page display. Includes bibliographical references.

Thesis (M.S.)--University of Akron, Dept. of Biomedical Engineering, 2008. / "December, 2008." Title from electronic thesis title page (viewed 12/13/2009) Advisor, Dale H. Mugler; Co-Advisor, Anthony M. Passalaqua; Committee members, Daniel B. Sheffer; Department Chair, Daniel B. Sheffer; Dean of the College, George K. Haritos; Dean of the Graduate School, George R. Newkome. Includes bibliographical references.

Thesis (Ph. D.)--Drexel University, 2003. / Includes abstract and vita. Includes bibliographical references (leaves 140-146).

Includes bibliographical references (p. 51-54).

Cognitive diagnostic assessment (CDA) is a new theoretical framework that is designed to integrate cognitive psychology into measurement theories. The main purpose of CDA is to provide examinees with diagnostic information while traditional psychometric approaches focus on how latent variables are accurately measured. Many cognitive diagnostic models (CDM) have been developed for CDA. Three cognitive diagnostic models- namely the rule space method (RSM), the high-order deterministic inputs, noisy ‘and’ gate (HO-DINA) model, and the multidimensional latent trait model for diagnosis (MLTM-D) model were compared using simulated data and empirical data. For the simulation study, three methods of data generation are proposed. Each method was designed based on one of the three models. A total of 12 conditions was involved in the simulation study: 2 item designs X 2 level of test X 3 methods of data generation. The diagnostic results were compared by level of test difficulty, level of ability estimates, and level of dimensionality. The effect of number of attributes on accurate classification was also investigated. For the empirical study, a mathematics test data was used and the diagnostic results were compared.

published_or_final_version / Electrical and Electronic Engineering / Master / Master of Philosophy

Diagnostic imaging played a substantial role in the management and treatment of patients during the Severe Acute Respiratory Syndrome (SARS) outbreak when daily chest radiographs were performed as a measure of disease severity and respiratory status. This thesis was performed to address several issues relating to the radiological spectrum of SARS, its temporal pattern on chest radiograph and high resolution computed tomography (HRCT) during the course of disease, and relationships between severity of opacities quantified on chest radiographs and clinical parameters including treatment response. Radiological parameters that could discriminate SARS from non-SARS community-acquired pneumonia (CAP) were also studied. Unifocal unilateral ground glass opacities was the dominant radiographic abnormality at presentation that progressed rapidly to maximal disease within 9.35 ± 4.09 (median 9, range 3-21) days after onset of symptoms with bilateral consolidation in 62.5% of patients. Complete resolution and significant residual disease was noted in 50% and 20% of cases respectively at end of assessment period. There was a temporal pattern of lung abnormalities on HRCT with ground glass opacity and consolidation at presentation. Reticulation developed after the first week and was present in 50% of patients at ?four weeks. HRCT was useful in illustrating parenchymal abnormalities in patients with normal radiographs at presentation. Severity of lung abnormalities quantified on chest radiograph at different time points of disease correlated with clinical and laboratory parameters such as SaO2 and liver transaminases ALT and AST. Significant relationships were also found between radiographic parameters, and O2 supplementation and treatment response. There are discriminating differences in the radiographic pattern, rate of radiographic progression, and zone of involvement between SARS and non-SARS CAP. / published_or_final_version / Medicine / Master / Doctor of Medicine

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