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.

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 Development and Validation of the Career Adaptability Scale for Undergraduates in Korea

2021 ◽  
Vol 13 (19) ◽  
pp. 11004
Author(s):  
Jihyo Kim
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Work Environment ◽  
Rasch Model ◽  
Structural Equation ◽  
Item Analysis ◽  
Measurement Scale ◽  
Career Adaptability ◽  
Confirmatory Factor ◽  
The Rasch Model

This study explores factors of career adaptability and develops a measurement scale for undergraduates in Korea. The scale measuring the undergraduates’ career adaptability consists of nine factors across three areas, as follows: knowledge and recognition for the self and work environment (self-understanding to establish identity, search for work environment, positive career beliefs), self-directed coping related to career behavior (coping with career-choice crisis, career preparation behavior, ability to coordinate career goals), environmental interactions for career decision and adaptation (ability to cope with environmental stress, social responsibility, ability to utilize social resources). First, an item analysis using the Rasch model was conducted, and measurement values of the items were compared. Second, an exploratory factor analysis and confirmatory factor analysis, applying the structural equation model, were performed. Third, Cronbach’s alpha was calculated to establish the reliability of the scale. The Rasch model fit analysis, to measure validity, revealed that 44 items were valid. The aforementioned model, consisting of nine factors across three areas, was shown to be suitable by the confirmatory factor analysis. The results of this study help in the development of career education programs by clarifying factors of career adaptability and providing information about differences based on the factors.

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 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.

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