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An introduction to the partial credit model for developing nursing assessments.
1Educational Measurement and Research College of Education and Allied Professions, The University of Toledo, Ohio, USA.
The Journal of Nursing Education
|December 22, 1999
Summary
The partial credit model, a Rasch model variant, enhances nursing assessment development by reducing bias and refining items. This method improves measurement accuracy and provides valuable feedback for complex assessments.
Area of Science:
- Psychometrics
- Nursing Education
- Measurement Theory
Background:
- Classical psychometric models have limitations in developing complex assessments.
- The Rasch measurement model offers advantages over classical approaches.
- Refining nursing assessments is crucial for accurate evaluation of clinical skills.
Purpose of the Study:
- To introduce the partial credit model as a tool for developing and refining complex nursing assessments.
- To highlight the benefits of the Rasch model, including bias reduction and item analysis.
- To demonstrate the applicability of the partial credit model in nursing.
Main Methods:
- The study discusses the principles of the Rasch measurement model and its partial credit model variant.
- It contrasts the advantages of the Rasch model with classical psychometric methods.
- An application using the Practical Knowledge Inventory for Nurses is presented.
Main Results:
- The partial credit model accommodates diverse scoring procedures, suitable for performance-based assessments.
- The Rasch model provides unbiased measurement and identifies items needing refinement.
- The model offers insights into data-model fit and response category utility.
Conclusions:
- The partial credit model is a valuable method for creating and improving complex nursing assessments.
- It offers superior measurement properties compared to classical psychometric models.
- The model aids in developing robust instruments for evaluating nursing decision-making.