The French CAT

1995 ◽  
Vol 18 (1) ◽  
pp. 52-68
Author(s):  
Jack L. Burston ◽  
Jeannette Harfouch ◽  
Monique Monville-Burston
Keyword(s):  
Rasch Model ◽  
Individual Student ◽  
First Year ◽  
Short Term ◽  
Actual Distribution ◽  
Computer Adaptive Test ◽  
Linguistic Ability ◽  
Course Placement ◽  
The Rasch Model ◽  
Model Measurement

This paper investigates the empirical validity of the Monash-Melbourne computer adaptive test for French (French CAT), a single parameter Rasch model measurement of underlying morphosyntactic proficiency. It focuses, in particular, on the accuracy of the French CAT as a tool for streaming incoming university students into three levels of a first year (post high school) French course. Psychometric ability estimations of the Rasch model are compared against instructors’ assessment of students’ overall linguistic competence. A comparison is also made between the theoretical confidence interval of predicted abilities and the actual distribution of testee scores. Finally, individual student French CAT scores are correlated with end-of-semester language examination results. In all instances, Item Response Theory, upon which the French CAT is based, is shown to provide a highly valid means of determining linguistic ability for the purposes of course placement. Moreover, given the significant correlation between initial streaming and end-of-semester results, the French CAT is also demonstrated to be a good predictor of short-term achievement.

scholarly journals Applying the Rasch model to analyze the effectiveness of education reform in order to decrease computer science students’ dropout

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Rita Takács ◽  
Judit T. Kárász ◽  
Szabolcs Takács ◽  
Zoltán Horváth ◽  
Attila Oláh
Keyword(s):  
Education Reform ◽  
Computer Science ◽  
Undergraduate Students ◽  
Rasch Model ◽  
Public University ◽  
First Year ◽  
Science Students ◽  
First Year Students ◽  
The Rasch Model ◽  
Analyze Data

AbstractAttrition is an important issue in higher education, especially in the field of computer science (CS). Here, we investigate to what extent an education reform affects the attrition of students by analyzing the pattern of grades of CS students’ academic achievement from 2010 to 2018 by IRT, based on Rasch-model analysis. We analyze data from 3673 undergraduate students of a large public university. In 2016 an education reform—as an intervention—was added to our BSc program: all theoretical lectures became compulsory to attend and we introduced a learning methodology course for all first-year students. According to our results, after the education reform most subjects became accomplishable, and students with lower levels of ability also tried to take exams. We succeeded in retaining 28% of our students. Analyzing students’ results could help administrators develop new programs in order to increase retention.

scholarly journals Psychometric Properties of Social Perception of Mathematics:‎‎ Rasch Model Analysis

2020 ◽  
Vol 13 (12) ◽  
pp. 102
Author(s):  
Rommel M. A. Al Ali ◽  
Rami T. Shehab
Keyword(s):  
Social Perception ◽  
Rasch Model ◽  
Essential Element ◽  
Evaluation Process ◽  
Model Analysis ◽  
First Year ◽  
Social Perceptions ◽  
Validity And Reliability ◽  
First Year Students ◽  
The Rasch Model

Social perception is an evaluation process, which uses any information available ‎in order to form impressions, ‎understanding, and judgments about others. It is also ‎considered as an essential element of social skills. This study ‎aims to examine the psychometric analysis of students’ social perceptions of mathematics using Rasch model ‎analysis.‎ This study uses a quantitative survey approach. The sample comprised 40 first year students at King Faisal University‎. The Rasch model is used because it is considered an effective tool for assessing constructs’ validity and reliability of the instrument. It also generalizes results and inferential studies. The developed questionnaire consists of six dimensions. Every dimension consists of six items. They are verifying the validity based on the Rasch model using item polarity, item fit, and dimensionality. In addition, the reliability was verified using person and item reliability, and item and person separation. The results of the Rasch model analysis show that the items of social perception of mathematics SPoM fit the model appropriately.

scholarly journals Self-Actualization Measurement on Non-English Coastal Students’ Achievement: Rasch Model Analysis

2018 ◽  
Vol 2 (2) ◽  
pp. 389
Author(s):  
Satria Agust ◽  
Gatot Subroto ◽  
Abdul Malik
Keyword(s):  
Rasch Model ◽  
Rural Areas ◽  
Urban Areas ◽  
First Year ◽  
Self Actualization ◽  
The Subject ◽  
Riau Archipelago ◽  
English Students ◽  
The Rasch Model ◽  
Learning English

<p class="Abstract">The measurement of self-actualization can assist facilitators in knowing their students’ learning achievement in English. The dynamism of high and low self-actualization through their origins will impact learning processes. Their abilities to seize the best achievement in learning correspond to their multiple talents. The objectives of this study are: (1) describing those whose self-actualization is high and who will have satisfactory achievement in learning English, and (2) deducing those whose self-actualization is low who will have poor achievement in English learning. The researcher used descriptive qualitative research which was conducted in Universitas Maritim Raja Ali Haji (UMRAH), located in Riau Archipelago in December 2017. The subject was the first-year intake of non-English students. The data were in the form of qualitative and quantitative taken from documents and questionnaires to learn the students’ self-actualization levels. The researchers analysed the data by using the Rasch model measurement approach. The results are: (1) Those whose self-actualization is high (60.71%) come from rural areas (36.90%), from urban areas (23.81%), female participants (47.62%), and male (13.10%). They can maximize their potential and ability to reach satisfactory achievement in learning English; and (2) Those whose self-actualization is low (38.10%), come from rural areas (17.86%), from urban areas (20.24%) female participants (33.33%), and male (4.76%). They cannot develop their potential and ability, resulting in poor achievement in learning English. As a result, the facilitators will find it easy to reflect on what should be done in their classes in the future.</p>

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

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.

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