To save content items to your account,
please confirm that you agree to abide by our usage policies.
If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account.
Find out more about saving content to .
To save content items to your Kindle, first ensure no-reply@cambridge.org
is added to your Approved Personal Document E-mail List under your Personal Document Settings
on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part
of your Kindle email address below.
Find out more about saving to your Kindle.
Note you can select to save to either the @free.kindle.com or @kindle.com variations.
‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi.
‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.
Instrumental activities of daily living (iADLs) are critical in aging and neurodegenerative research, both diagnostically (e.g., distinguishing dementia from mild cognitive impairment) and as endpoints for trials maintaining or improving functioning. However, measurement has not consistently kept pace with a changed world wherein the ability to navigate technology is pertinent to maintaining independent functioning. The current study used harmonization approaches to link traditional and technological iADLs measures using two samples.
Methods:
262 individuals (53.4% women, 91.7% non-Hispanic White, Mage = 76.2, Meducation = 15.6) completed both measures: (1), the Functional Activities Questionnaire (FAQ), and (2), the new Expanded FAQ. Item response theory (IRT) analyses extracted item parameters to characterize measure psychometrics and accurately determine individual functional ability. Harmonization was done using both nonequivalent groups anchor test (NEAT) and equipercentile linking methods with supplementary traditional iADL parameter estimates from the National Alzheimer Coordinating Center (n = 48,605).
Results:
Correlations verified the measures were sufficiently related (rs = .79), and confirmatory factor analyses and reliability determined all items assessed a single construct. Items from both measures complemented each other to provide more information about milder and more severe functional change. NEAT models converged to provide IRT linking equations and equipercentile conversation tables.
Conclusion:
This study provides critical information for harmonizing evolving technological iADLs with traditional iADLs that are assessed in longstanding cohorts. It further provides support for use of an expanded FAQ.
Recommend this
Email your librarian or administrator to recommend adding this to your organisation's collection.