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Showing 1 to 20 of 46 for “"Rasch model"”.
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Comparative Analyses of Mathematics Teachers' Efficacy Using Factor Analysis and the Rasch Model
… 2001) using both Classical Test Theory and Rasch Measurement analyses. Secondly, the study sought to compare the efficacy levels of elementary, middle, and high school teachers (N= 263). The findings of the current examination indicated that the scales utilized were reliable through both …
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An Evaluation of the Rasch Model in Providing Objective Measurement When Vertically Equating Tests
Made available in DSpace on 2014-12-12T19:55:50Z (GMT). No. of bitstreams: 1 7913614.pdf: 4921202 bytes, checksum: 5d07ccd1a6db16bfb6f8ce7865564377 (MD5) Previous issue date: 1978
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Attitudes of Preschool Teachers in South Korea toward Inclusion: Using the Rasch Model to Construct a Teacher Attitude Measure
… variables, so choosing a rigorous measurement model to construct a valid teacher attitude measure is crucial. For this study, the Rasch model was chosen to develop the attitude measure to obtain more useful information about attitudes of preschool teachers in South Korea toward inclusion. The …
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Rasch Modeling: Computer Assistive Technology In A High School Special Education Classroom
<p>The Rasch model was used to determine the ability of a small sample of students with learning disabilities to answer study guide questions when using assistive technology in a high school U.S. history class. The Rasch model was also used to estimate the quality of the study guide questions. The …
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Calibration Efficacy of Three Logistic Models to the Degrees of Reading Power Test Using Residual Analysis
… calibrate their test using an item response model called the Rasch or one-parameter logistic model. The relationship between the use of the Rasch model in calibration of the DRP and the use of the DRP as a component of the Virginia Literacy Passport Testing Program (LPT) is addressed. …
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Impact of Ignoring Nested Data Structures on Ability Estimation
… Bayes estimates in the one-parameter IRT / Rasch model. The literature on the impact of complex survey design on latent trait models is mixed and there is no "best practice" established regarding how to handle this situation. A simulation study was conducted to address two questions related …
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Testing the Assumption of Sample Invariance of Item Difficulty Parameters in the Rasch Rating Scale Model
<p>Rasch is a mathematical model that allows researchers to compare data that measure a unidimensional trait or ability (Bond & Fox, 2007). When data fit the Rasch model, it is mathematically proven that the item difficulty estimates are independent of the sample of respondents. The purpose of this …
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Scale Construction and Halo Effect in Secondary Student Ratings of Teacher Performance
… of design methodologies and measurement models including elements of Classical Test Theory (CTT), factor analysis, and Item Response Theory (IRT). The IRT model employed was the one-parameter logistic model also known as the Rasch model. Twelve scales were developed consisting of a total …
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L'impiego del modello di Rash per la valutazione della soddisfazione del paziente nell'ambito delle strutture sanitarie di ricovero
… advantages compared to Classical Test Theory. Rasch model is a one-parameter model which belongs to Item Response Theory. Rasch model yield objective measure of the construct that are independent of the set of people interviewed and of set of items used. Rasch estimates are continuous and can …
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ZAMBIAN PRE-SERVICE JUNIOR HIGH SCHOOL SCIENCE TEACHERS' CHEMICAL REASONING AND ABILITY
… analysis of their responses to test items. The Rasch Model was used to determine the pre-service teachers' chemical abilities and item difficulty. Results show that most pre-service science teachers had incorrect chemical reasoning on chemical concepts assessed in this study. There was no …
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An application of item response theory to language testing: Model-data fit studies
… has recently attracted much attention, no model-data fit research has been conducted to explore the appropriateness of IRT modeling in language testing. The tenability of the strong assumption of unidimensionality has not been studied systematically, and little is known concerning the …
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Dichotomous and polytomous item response model estimation using the marginal maximum likelihood and the EM algorithm
… variable techniques specifically designed to model the interaction between a respondent's latent trait/ability and the test items' characteristics such as difficulties, discrimination powers and guessing liabilities. The Item Response Theory framework emphasizes on how responses can be …
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Development and Validation of a Measure of Intention to Stay in Academia for Physician Assistant Faculty
… Adopting both the methodologic framework of the Rasch model and the theoretical framework that “intention to stay in academia” is a complex psychological construct influenced by a wide range of individual and environmental variables, this investigation identified potential observable indicators …
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Development of Test of Academic Readiness
… and a main study tested items in those domains. Rasch model was used to assess the scale’s level of reliability and item discrimination. Content validity was claimed through extensive review of literature and similar readiness tests both in the U.S. and Thailand.</p> <p>TAR achieved a range of …
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An Item Response Theory Approach to the Maintenance of Standards in Public Examinations in England
… be evaluated by reference to measures such as model fit, significance and effect size. An evaluation of the literature suggests that predictive statistical models, where employed in the maintenance of standards to meet definitions of cohort referencing, tend to be robust. Beyond discrimination, …
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Examining Construct Stability Across Career Stage Cohorts
… at varied stages in their medical careers. The Rasch model was used for item analysis to calibrate the difficulty hierarchy of the exam items for each cohort. Correlations between the item difficulty hierarchies for each cohort supported the overall construct stability of the certification exam. …
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Robustness redressed : an exploratory study on the relationships among overall assumption violation, model-data-fit, and invariance properties for item response theory models
… properties, studies the robustness of IRT models, and examines the difference in robustness when using model-data-fit as a robustness criterion. A conceptualization of robustness as a statistical relationship between model assumption violation and invariance properties has been created in …
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Development and validation of the BILAG-2004 Index for the assessment of disease activity in systemic lupus erythematosus
… change in score having greater predictive power. Rasch analysis showed that this index had a good fit to the Rasch model, indicating that it is a unidimensional ordinal scale index with internal construct validity. The validation studies led to revisions of the index to ensure it had face and …
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Exploring the Item Difficulty and Other Psychometric Properties of the Core Perceptual, Verbal, and Working Memory Subtests of the WAIS-IV Using Item Response Theory
… to be produce sample-independent statistics. Rasch modeling, a form of IRT, is one parameter logistic model that is appropriate for items with only two response options and assumes that the only factors affecting test performance are characteristics of items, such as their difficulty level or …
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