Digital Migration of the Loewenstein Acevedo Scales for Semantic Interference and Learning (LASSI-L): Development and Validation Study in Older Participants
The results for the digital migration of the LASSI-D were highly convergent with the legacy LASSI-L. Across all indices of similarity, including sensitivity, criterion validity, classification accuracy, and performance, the versions converged across languages. Future studies will present additional validation data, including correlations with blood-based Alzheimer disease biomarkers and alternative forms. The current data provide convincing evidence of the use of a fully self-administered digitally migrated cognitive challenge test.
Authors
- Andrea Rivera-Molina
- Annalee Mueller (ORCID: https://orcid.org/0000-0001-5527-7398)
- Rosie E. Curiel (ORCID: https://orcid.org/0000-0001-6505-7030)
- Peter Kallestrup
- Philip D. Harvey (ORCID: https://orcid.org/0000-0002-9501-9366)
- Elizabeth Crocco (ORCID: https://orcid.org/0000-0002-0917-386X)
- Sara J. Czaja (ORCID: https://orcid.org/0000-0002-8096-5413)
- David Loewenstein (ORCID: https://orcid.org/0000-0001-6788-2798)
Institutions
- University of Miami (US)
- Florida International University (US)
- Cornell University (US)
Publication Details
- Journal
- JMIR Mental Health
- Published
- 2024-12-11
- DOI
- https://doi.org/10.2196/64716
- Citations
- 3
- Primary Topic
- Dementia and Cognitive Impairment Research
- Type
- article
- Field-Weighted Citation Impact
- 1.16