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Showing 1 to 20 of 203 for “"Rasch"”.
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Rasch analysis of the evaluation in Ayres sensory integration (EASI)
… on the EASI. In this dissertation, I used Rasch analysis to evaluate data with 19 of the 21 tests. The Rasch model is a latent-trait psychometric model that (1) transforms ordinal-level data to interval-level data and (2) allows users to assess evidence for construct validity …
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Detecting Rater Centrality Effect Using Simulation Methods and Rasch Measurement Analysis
This dissertation illustrates how to detect the rater centrality effect in a simulation study that approximates data collected in large scale performance assessment settings. It addresses three research questions that: (1) which of several centrality-detection indices are most sensitive to 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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A Comparison of IRT and Rasch Procedures in a Mixed-Item Format Test
… scoring) and item analysis model (IRT and Rasch) on the ability estimates, test information levels and optimization criteria of mixed item format tests. Polytomous item responses to 30 items for 1000 examinees were simulated using the generalized partial-credit model and SAS software. …
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A Rasch Analysis of the Mental Health and Recovery Measure: Reliability and Validity
… have limitations. The current study used the Rasch framework (Linacre, 2012a), which has significant advantages over the classical methods, including the ability to make sample-free examinations. </p><p>The current study used data from 1116 individuals with severe and persistent mental illness …
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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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Accuracy of Global Fit Indices as Indictors of Multidimensionality in Multidimensional Rasch Analysis
… within the framework of multidimensional Rasch analysis. The results of two simulations studies that investigated how sample size, between-dimension correlation, and test length affect the accuracy of these indices in model recovery using a multidimensional Rasch analysis are described in …
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Measuring academic motivation to achieve for high school students using a Rasch measurement model
… discarded) using the Extended Logistic Model of Rasch (Andrich, 1988a, 1988b; Rasch, 1980/1960) with the computer Program Rasch Unidimensional Measurement Models (RUMM-2010) (Andrich, Sheridan, Lyne & Luo, 2000). The iii structures, patterns and the psychometric properties of the scale were …
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Comparing single-level and multi-level regression models in analysing Rasch measures of numeracy
… Western Australia. The dependent variable was a Rasch-created linear measure of Year 8 Numeracy from data of a Mathematics assessment, specially designed by the Department of Education. The main independent variable was a Rasch-created, linear measure of Year 7 Numeracy from student data of the …
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Assessment of the Measurement Properties of the NHCAHPS Family Survey: A Rasch Scaling Approach
… satisfaction. The data were analyzed with the Rasch rating scale model. Rasch analyses demonstrate that the NHCAHPS Family Survey has adequate reliability, separation, fit, rating scale functioning, and dimensionality. Particular attention was given to the Overall Rating of Care item. According …
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Analysis of the Scale of Parenting and Life Functioning Using the Rasch Measurement Model
… (SPLF). Analysis was conducted using a Rasch partial credit model. Overall, the SPLF showed good overall fit to the model. Unidimensionality of the scale was supported in the analysis, with over 60% of the raw variance explained by the measure. Item fit also provided evidence that the …
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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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Extended many-facet Rasch models: Accounting for rater effects in automated essay scoring systems
… Previous research has developed many-facet Rasch models (MFRMs) that can model and account for rater severity; however, systemic rater behaviours are often non-uniform across scales and assessment criteria. I argue that models that can capture such behaviours are indicated in order to …
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Impacts of Ignoring Nested Data Structure in Rasch/IRT Model and Comparison of Different Estimation Methods
… the impacts of ignoring nested data structure in Rasch/1PL item response theory (IRT) model via a two-level and three-level hierarchical generalized linear model (HGLM). Currently, Rasch/IRT models are frequently used in educational and psychometric researches for data obtained from multistage …
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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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The Robustness of Rasch True Score Preequating to Violations of Model Assumptions Under Equivalent and Nonequivalent Populations
This study examined the feasibility of using Rasch true score preequating under violated model assumptions and nonequivalent populations. Dichotomous item responses were simulated using a compensatory two dimensional (2D) three parameter logistic (3PL) Item Response Theory (IRT) model. The Rasch …
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Assessing Robustness of the Rasch Mixture Model to Detect Differential Item Functioning - A Monte Carlo Simulation Study
… subgroups are likely to be neglected. The Rasch mixture model (RMM), a combination of the Rasch model and mixture model, is an alternative for extracting the latent class (LC) from summarizing similar identities of underlying latent traits. DIF can be calculated among LCs based on the …
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Assessment of cognitive ageing: Applying generalisability theory, Rasch and network analyses to establish reliability and validity of measures
… namely, Generalisability theory (G-Theory), Rasch analysis, and Network analysis. The first part of this thesis focuses on the application of G-Theory to examine dynamic and enduring aspects of cognitive ageing as measured by the Memory Assessment Clinic Questionnaire (MAC-Q), the 16-item …
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