Validation of the Blended Learning Usability Evaluation–Questionnaire (BLUE-Q) through an innovative Bayesian questionnaire validation approach
Questionnaire validation can generally be a complex, time-consuming, and costly process, inhibiting many from engaging in proper validation practices. In this study, we demonstrate that a Bayesian questionnaire validation approach can be a simple, resource-efficient, yet rigorous solution to validating a tool for content and item-domain correlation through the elicitation of domain expert endorsement ratings.
Authors
- Tibor Schuster (ORCID: https://orcid.org/0000-0002-3620-3526)
- Hao Zhang (ORCID: https://orcid.org/0000-0003-2927-7508)
- Charo Rodríguez (ORCID: https://orcid.org/0000-0003-3799-8399)
- Anish Arora (ORCID: https://orcid.org/0000-0003-3710-8704)
- Tamara E. Carver (ORCID: https://orcid.org/0000-0003-3410-0897)
Institutions
- University of Toronto (CA)
- McGill University Health Centre (CA)
- McGill University (CA)
Publication Details
- Journal
- Journal of Educational Evaluation for Health Professions
- Published
- 2024-11-07
- DOI
- https://doi.org/10.3352/jeehp.2024.21.31
- Citations
- 4
- Primary Topic
- Health Education and Validation
- Type
- article
- Field-Weighted Citation Impact
- 8.38
Funders
- McGill University
- Canadian Institutes of Health Research