Testing Measurement Reliability in Older Populations

Methods for Informed Discrimination in Instrument Selection and Application

Bibliographic Data

ID12797665
AuthorsPeter H van Ness (Yale University School of Medicine, New Haven, Connecticut,, corresponding author), Virginia Towle (Yale University), Virginia R Towle (Yale University School of Medicine, New Haven, Connecticut), Manisha Juthani‐Mehta (Yale University), Manisha Juthani-Mehta (Yale University School of Medicine, New Haven, Connecticut)
Year2007
Volume20
Issue2
Pages183-197
Publication date2007-12-18
Open AccessYes
TypeARTICLE
VenueJournal of Aging and Health (JOURNAL)
Journal identifiersISSN: 1552-6887 • E-ISSN: 0898-2643
PublisherSAGE Publishing (PUBLISHER • US)
DOI10.1177/0898264307310448
PMID18089767
PMCIDPMC2754259
OpenAlexW2025068848
LanguageEN
References cited25

Supplementation of omnibus statistics by loglinear regression modeling is especially appropriate for aging research because it facilitates tests of marginal homogeneity and comparisons of reliability results for relatively young and old subgroups. Latent class regression analysis is useful for older samples because multifactorial health conditions are often measured in multiple ways and assessment of their reliability can be integrated, granting certain assumptions, with validity assessment

Confidence interval · Descriptive statistics · Homogeneity (statistics · Inference · Reliability (semiconductor · Reliability engineering · Standard error · Statistical inference · Statistics · Computer Science · Engineering · Hemodynamic Monitoring and Therapy · Mathematics · Medicine · Reliability and Agreement in Measurement · Statistical Methods in Epidemiology

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