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Using the score method to construct asymmetric confidence intervals: an SAS program for content validation in scale
Jeffrey M Miller1, Randall D Penfield
1College of Education, University of Florida, Gainesville, Florida 32622-7047, USA. millerjm@ufl.edu
Behavior Research Methods
|January 13, 2006
Summary
This study introduces a new method for accurately quantifying content validity, overcoming limitations of traditional approaches. Researchers can now construct better asymmetric intervals for scale item validation using provided SAS code.
Area of Science:
- Psychometrics
- Statistical Methods
Background:
- Expert review is crucial for determining scale item content validity.
- Traditional methods for quantifying content validity are limited by small expert numbers and discrete rating scales, hindering standard error and confidence interval calculations.
Purpose of the Study:
- To present an improved method for content validity quantification.
- To address limitations in traditional statistical approaches for content validity assessment.
Main Methods:
- Application of the score method to construct asymmetric intervals.
- Utilizing SAS code to automate computations for content validity.
Main Results:
- The score method enables the construction of asymmetric intervals suitable for small expert samples and discrete rating scales.
- Provided SAS code facilitates the automation of these specialized calculations.
Conclusions:
- The proposed score method offers a more accurate approach to content validity quantification.
- Researchers can effectively use the generated asymmetric intervals and provided code for robust content validation decision-making.
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