Aufsatz
The Road to Hell Is Paved With Good Intentions: How Common Practices in Scale Construction Hurt Validity
Zusammenfassung
Sound scale construction is pivotal to the measurement of psychological constructs. Common item sampling procedures emphasize aspects of reliability to the disadvantage of aspects of validity, which are less tangible. We use a health knowledge test as an example to demonstrate how item sampling strategies that focus on either factor saturation or construct coverage influence scale composition and demonstrate how to find a trade-off between these two opposing needs. More specifically, we compile three 75-item health knowledge scales using Ant Colony Optimization, a metaheuristic algorithm that is inspired by the foraging behavior of ants, to optimize factor saturation, construct coverage, or a compromise of both. We demonstrate that our approach is well suited to balance out construct coverage and factor saturation when constructing a health knowledge test. Finally, we discuss conceptual problems with the modeling of declarative knowledge and provide recommendations for the assessment of health knowledge.
Zitierform
In: Assessment (ASM) Volume 30 / Issue 6 (2022-09-29) eissn:1552-3489Förderhinweis
Gefördert im Rahmen des Projekts DEALZitieren
@article{doi:10.17170/kobra-202308288697,
author={Steger, Diana and Jankowsky, Kristin and Schroeders, Ulrich and Wilhelm, Oliver},
title={The Road to Hell Is Paved With Good Intentions: How Common Practices in Scale Construction Hurt Validity},
journal={Assessment (ASM)},
year={2022}
}
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2023-08-28T14:19:08Z 2023-08-28T14:19:08Z 2022-09-29 doi:10.17170/kobra-202308288697 http://hdl.handle.net/123456789/15034 Gefördert im Rahmen des Projekts DEAL eng Namensnennung 4.0 International http://creativecommons.org/licenses/by/4.0/ scale construction ant colony optimization construct coverage validity health knowledge 150 The Road to Hell Is Paved With Good Intentions: How Common Practices in Scale Construction Hurt Validity Aufsatz Sound scale construction is pivotal to the measurement of psychological constructs. Common item sampling procedures emphasize aspects of reliability to the disadvantage of aspects of validity, which are less tangible. We use a health knowledge test as an example to demonstrate how item sampling strategies that focus on either factor saturation or construct coverage influence scale composition and demonstrate how to find a trade-off between these two opposing needs. More specifically, we compile three 75-item health knowledge scales using Ant Colony Optimization, a metaheuristic algorithm that is inspired by the foraging behavior of ants, to optimize factor saturation, construct coverage, or a compromise of both. We demonstrate that our approach is well suited to balance out construct coverage and factor saturation when constructing a health knowledge test. Finally, we discuss conceptual problems with the modeling of declarative knowledge and provide recommendations for the assessment of health knowledge. open access Steger, Diana Jankowsky, Kristin Schroeders, Ulrich Wilhelm, Oliver 1811-1824 doi:10.1177/10731911221124 Gültigkeit Ameisenalgorithmus Gesundheitswesen publishedVersion eissn:1552-3489 Issue 6 Assessment (ASM) Volume 30 false
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