A new approach of testing the Rasch model

2011 ◽  
Author(s):  
Klaus Kubinger ◽  
D. Rasch ◽  
T. Yanagida
Keyword(s):  
Rasch Model ◽  
New Approach ◽  
The Rasch Model

An Algorithm for Testing Unidimensionality and Clustering Items in Rasch Measurement

2012 ◽  
Vol 72 (3) ◽  
pp. 375-387 ◽  
Author(s):  
Rudolf Debelak ◽  
Martin Arendasy
Keyword(s):  
Cluster Analysis ◽  
Rasch Model ◽  
Hierarchical Cluster Analysis ◽  
Hierarchical Cluster ◽  
Real Data ◽  
Rasch Measurement ◽  
Local Independence ◽  
New Approach ◽  
Components Analysis ◽  
The Rasch Model

A new approach to identify item clusters fitting the Rasch model is described and evaluated using simulated and real data. The proposed method is based on hierarchical cluster analysis and constructs clusters of items that show a good fit to the Rasch model. It thus gives an estimate of the number of independent scales satisfying the postulates of sufficiency of total number of correctly answered items for a person’s proficiency, unidimensionality, and local independence that can be constructed from an item set. The method is also compared with the application of a principal components analysis based on tetrachoric correlations. In general, the proposed method was shown to provide practically usable results especially for large person samples.

A new approach of testing the Rasch model

2011 ◽  
Author(s):  
Klaus Kubinger ◽  
D. Rasch ◽  
T. Yanagida
Keyword(s):  
Rasch Model ◽  
New Approach ◽  
The Rasch Model

A new approach for testing the Rasch model

2011 ◽  
Vol 17 (5) ◽  
pp. 321-333 ◽  
Author(s):  
Klaus D. Kubinger ◽  
Dieter Rasch ◽  
Takuya Yanagida
Keyword(s):  
Rasch Model ◽  
New Approach ◽  
The Rasch Model

scholarly journals TOURISM EXPERIENCE IN INDONESIA: A NEW APPROACH USING THE RASCH MODEL SCALE

2021 ◽  
Vol 38 (4) ◽  
pp. 1051-1056
Author(s):  
Bambang HERMANTO ◽  
◽  
Asep MIFTAHUDDIN ◽  
Keyword(s):  
Rasch Model ◽  
Measurement Scale ◽  
City Branding ◽  
Successful Management ◽  
New Approach ◽  
Empirical Application ◽  
Tourist Destinations ◽  
Factors Influencing ◽  
Tourism Experience ◽  
The Rasch Model

In this paper, the research discussed analyzes the tourism experience in Indonesia, this study aims to explore the factors influencing the experience of city branding. The empirical application is based on a study of 373 visitors traveling in Indonesia, analyzed using the Rasch model. The present study aimed at a credible and accurate measurement scale that will help to clarify the definition and enhance the successful management of tourism experience. We have developed a 16-point size of tourism experience that we assume extends to many of the tourist destinations. The scale consists of six fields: hedonism, novelty, refreshment, local culture, significance, and dedication. Data are of assistance to the tourism experience's dimensional framework as well as its accuracy and validity within.

scholarly journals Measurement Precision and Efficiency of Computerized Adaptive Testing for the Activities-specific Balance Confidence Scale in People With Stroke

2021 ◽  
Author(s):  
Bryant A Seamon ◽  
Steven A Kautz ◽  
Craig A Velozo
Keyword(s):  
Rasch Model ◽  
Computerized Adaptive Testing ◽  
Adaptive Testing ◽  
Measurement Precision ◽  
Strongly Correlated ◽  
Computerized Adaptive Test ◽  
Balance Confidence ◽  
Adaptive Test ◽  
The Rasch Model ◽  
Confidence Scale

Abstract Objective Administrative burden often prevents clinical assessment of balance confidence in people with stroke. A computerized adaptive test (CAT) version of the Activities-specific Balance Confidence Scale (ABC CAT) can dramatically reduce this burden. The objective of this study was to test balance confidence measurement precision and efficiency in people with stroke with an ABC CAT. Methods We conducted a retrospective cross-sectional simulation study with data from 406 adults approximately 2-months post-stroke in the Locomotor-Experience Applied Post-Stroke (LEAPS) trial. Item parameters for CAT calibration were estimated with the Rasch model using a random sample of participants (n = 203). Computer simulation was used with response data from remaining 203 participants to evaluate the ABC CAT algorithm under varying stopping criteria. We compared estimated levels of balance confidence from each simulation to actual levels predicted from the Rasch model (Pearson correlations and mean standard error (SE)). Results Results from simulations with number of items as a stopping criterion strongly correlated with actual ABC scores (full item, r = 1, 12-item, r = 0.994; 8-item, r = 0.98; 4-item, r = 0.929). Mean SE increased with decreasing number of items administered (full item, SE = 0.31; 12-item, SE = 0.33; 8-item, SE = 0.38; 4-item, SE = 0.49). A precision-based stopping rule (mean SE = 0.5) also strongly correlated with actual ABC scores (r = .941) and optimized the relationship between number of items administrated with precision (mean number of items 4.37, range [4–9]). Conclusions An ABC CAT can determine accurate and precise measures of balance confidence in people with stroke with as few as 4 items. Individuals with lower balance confidence may require a greater number of items (up to 9) and attributed to the LEAPS trial excluding more functionally impaired persons. Impact Statement Computerized adaptive testing can drastically reduce the ABC’s test administration time while maintaining accuracy and precision. This should greatly enhance clinical utility, facilitating adoption of clinical practice guidelines in stroke rehabilitation. Lay Summary If you have had a stroke, your physical therapist will likely test your balance confidence. A computerized adaptive test version of the ABC scale can accurately identify balance with as few as 4 questions, which takes much less time.

scholarly journals Futuristic Trends and Innovations for Examining the Performance of Course Learning Outcomes Using the Rasch Analytical Model

Electronics ◽  
2021 ◽  
Vol 10 (6) ◽  
pp. 727
Author(s):  
Moustafa M. Nasralla ◽  
Basiem Al-Shattarat ◽  
Dhafer J. Almakhles ◽  
Abdelhakim Abdelhadi ◽  
Eman S. Abowardah
Keyword(s):  
Learning Outcomes ◽  
Analytical Model ◽  
Rasch Model ◽  
Teaching Techniques ◽  
Business Courses ◽  
Learning And Teaching ◽  
Association Pattern ◽  
Engineering Education Research ◽  
Academic Year ◽  
The Rasch Model

The literature on engineering education research highlights the relevance of evaluating course learning outcomes (CLOs). However, generic and reliable mechanisms for evaluating CLOs remain challenges. The purpose of this project was to accurately assess the efficacy of the learning and teaching techniques through analysing the CLOs’ performance by using an advanced analytical model (i.e., the Rasch model) in the context of engineering and business education. This model produced an association pattern between the students and the overall achieved CLO performance. The sample in this project comprised students who are enrolled in some nominated engineering and business courses over one academic year at Prince Sultan University, Saudi Arabia. This sample considered several types of assessment, such as direct assessments (e.g., quizzes, assignments, projects, and examination) and indirect assessments (e.g., surveys). The current research illustrates that the Rasch model for measurement can categorise grades according to course expectations and standards in a more accurate manner, thus differentiating students by their extent of educational knowledge. The results from this project will guide the educator to track and monitor the CLOs’ performance, which is identified in every course to estimate the students’ knowledge, skills, and competence levels, which will be collected from the predefined sample by the end of each semester. The Rasch measurement model’s proposed approach can adequately assess the learning outcomes.

scholarly journals Changing the Order of Factors Does Not Change the Product but Does Affect Students’ Answers, Especially Girls’ Answers

2021 ◽  
Vol 11 (5) ◽  
pp. 201
Author(s):  
Clelia Cascella ◽  
Chiara Giberti ◽  
Giorgio Bolondi
Keyword(s):  
Experimental Design ◽  
Rasch Model ◽  
Achievement Tests ◽  
Mathematical Content ◽  
Probability Sample ◽  
Decimal Numbers ◽  
Common Items ◽  
The Rasch Model ◽  
Grade 8

This study is aimed at exploring how different formulations of the same mathematical item may influence students’ answers, and whether or not boys and girls are equally affected by differences in presentation. An experimental design was employed: the same stem-items (i.e., items with the same mathematical content and question intent) were formulated differently and administered to a probability sample of 1647 students (grade 8). All the achievement tests were anchored via a set of common items. Students’ answers, equated and then analysed using the Rasch model, confirmed that different formulations affect students’ performances and thus the psychometric functionality of items, with discernible differences according to gender. In particular, we explored students’ sensitivity to the effect of a typical misconception about multiplication with decimal numbers (often called “multiplication makes bigger”) and tested the hypothesis that girls are more prone than boys to be negatively affected by misconception.

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