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The Road to Hell Is Paved With Good Intentions: How Common Practices in Scale Construction Hurt Validity
Diana Steger1, Kristin Jankowsky1, Ulrich Schroeders1
1University of Kassel, Germany.
Assessment
|September 30, 2022
Summary
This study introduces Ant Colony Optimization for health knowledge scale construction. It balances factor saturation and construct coverage for improved measurement validity and reliability.
Area of Science:
- Psychometrics
- Health Psychology
- Computational Statistics
Background:
- Scale construction is crucial for measuring psychological constructs.
- Current item sampling methods often prioritize reliability over validity.
- Balancing factor saturation and construct coverage is a key challenge.
Purpose of the Study:
- To demonstrate how item sampling strategies impact scale composition.
- To explore Ant Colony Optimization for optimizing scale construction.
- To find a trade-off between factor saturation and construct coverage.
Main Methods:
- Utilized Ant Colony Optimization, a metaheuristic algorithm.
- Applied the algorithm to construct three 75-item health knowledge scales.
- Optimized for factor saturation, construct coverage, or a combination of both.
Main Results:
- The Ant Colony Optimization approach effectively balances construct coverage and factor saturation.
- Demonstrated a viable method for improving health knowledge test construction.
- The developed scales showed a good compromise between competing measurement needs.
Conclusions:
- Ant Colony Optimization is a powerful tool for psychometric scale development.
- The study offers practical recommendations for health knowledge assessment.
- Addressing conceptual issues in declarative knowledge modeling is essential for accurate measurement.
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