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[Applications of generalizability theory to estimate the variance components in basic nursing technical tests].
1Department of Nursing, Tajen University, Taiwan, ROC. sjhong@mail.tajen.edu.tw
Hu Li Za Zhi the Journal of Nursing
|August 1, 2008
Summary
Generalizability theory analysis of nursing tests shows student performance is the main variance source. Increasing rater numbers enhances reliability in technical skill assessments for nursing education.
Area of Science:
- Nursing Education
- Psychometrics
- Educational Measurement
Background:
- Reliability and validity are crucial for accurate nursing technical skill assessment.
- Generalizability theory offers a framework to analyze multifaceted measurement designs.
Purpose of the Study:
- To estimate variance components in basic nursing technical tests using generalizability theory.
- To identify sources of measurement error and assess reliability in nursing assessments.
Main Methods:
- A two-facet crossed design (p x i x r) was employed with 55 second-year nursing students.
- Generalizability (G) and Decision (D) studies were conducted using GENOVA software.
- Students were the objects of measurement, with items and raters as facets.
Main Results:
- The examinee (student) was the primary source of variance (97.77%), followed by student-rater interaction and student-item-rater interaction.
- Other identified sources of variation had negligible effects on the results.
- The D study indicated that increasing the number of raters significantly improves the reliability of nursing technical performance assessments.
Conclusions:
- Student performance is the dominant factor influencing scores in basic nursing technical tests.
- Enhancing the number of raters is a practical strategy to improve the dependability of nursing skill evaluations.
- These findings provide valuable insights for developing and refining nursing technical assessment tools.
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