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Primary principles in developing scale with Rasch analysis: Portfolio anxiety assessment
1Department of Biostatistics and Medical Informatics, Ondokuz Mayis University, Samsun, Turkey.
Nigerian Journal of Clinical Practice
|October 10, 2018
Summary
This study demonstrates the Rasch model
Area of Science:
- Psychometrics
- Educational Measurement
Background:
- The Rasch model is a valuable tool for developing and refining measurement scales.
- Assessing the fit of data to the Rasch model is crucial for scale validation.
Purpose of the Study:
- To evaluate the fit of a portfolio anxiety scale using the Rasch model.
- To identify modifications for improving scale fit and psychometric properties.
Main Methods:
- Applied the partial credit model to a portfolio anxiety scale administered to 171 medical students.
- Assessed data-Rasch model fit using fit statistics and Person Separation Index (PSI) for reliability.
Main Results:
- All subscales (satisfaction, writing anxiety, reflection anxiety) demonstrated acceptable fit to the Rasch model.
- High Person Separation Index values (0.81, 0.73, 0.73) indicated good reliability for the scale subscales.
Conclusions:
- Rasch analysis confirmed the validity and reliability of the portfolio anxiety scale.
- The study highlights the utility of Rasch modeling for accurate scale development and adaptation.
- Fit statistics and graphs are essential for refining scale psychometrics.
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