ArticleThe journals of gerontology. Series B, Psychological sciences and social sciences2020
A Cross-National Analysis of the Psychometric Properties of the Geriatric Anxiety Inventory.
Article in The journals of gerontology. Series B, Psychological sciences and social sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- The Impact of 5-Hydroxytryptophan Supplementation on Cognitive Function and Mood in Singapore Older Adults: A Randomized Controlled Trial.Nutrients · 2025Trial
- Understanding the psychological impact of flooding on older adults: A scoping review.Annals of the New York Academy of Sciences · 2025Article
- Item response analysis of the Geriatric Anxiety Inventory among the elderly in China: dimensionality and differential item functioning test.BMC geriatrics · 2019Article
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32 authors.
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Abstract
objectivesAssessing late-life anxiety using an instrument with sound psychometric properties including cross-cultural invariance is essential for cross-national aging research and clinical assessment. To date, no cross-national research studies have examined the psychometric properties of the frequently used Geriatric Anxiety Inventory (GAI) in depth.
methodUsing data from 3,731 older adults from 10 national samples (Australia, Brazil, Canada, The Netherlands, Norway, Portugal, Spain, Singapore, Thailand, and United States), this study used bifactor modeling to analyze the dimensionality of the GAI. We evaluated the "fitness" of individual items based on the explained common variance for each item across all nations. In addition, a multigroup confirmatory factor analysis was applied, testing for measurement invariance across the samples.
resultsAcross samples, the presence of a strong G factor provides support that a general factor is of primary importance, rather than subfactors. That is, the data support a primarily unidimensional representation of the GAI, still acknowledging the presence of multidimensional factors. A GAI score in one of the countries would be directly comparable to a GAI score in any of the other countries tested, perhaps with the exception of Singapore. DISCUSSION: Although several items demonstrated relatively weak common variance with the general factor, the unidimensional structure remained strong even with these items retained. Thus, it is recommended that the GAI be administered using all items.
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