Please use this identifier to cite or link to this item: https://doi.org/10.1093/geronb/gbz002
Title: A cross-national analysis of the psychometric properties of the Geriatric Anxiety Inventory (GAI).
Authors: Molde, Helge
Nordhus, Inger-Hilde
Torsheim, Torbjørn
Engedal, Knut
Bendixen, Anette Bakkane
Byrne, Gerard J
Márquez-González, María
Losada, Andres
Feng, Lei 
Kuan Tai Ow, Elisabeth 
Pisitsungkagarn, Kullaya
Taephant, Nattasuda
Jarukasemthawee, Somboon
Champagne, Alexandra
Landreville, Philippe
Gosselin, Patrick
Ribeiro, Oscar
Diefenbach, Gretchen J
Blank, Karen
Beaudreau, Sherry A
Laks, Jerson
Bom de Araújo, Narahyana
Paz Fonseca, Rochele
Kochhann, Renata
Camozzato, Analuiza
van den Brink, Rob
Fluiter, Mario
Naarding, Paul
Pelzers, Loeki PRM
Lugtenburg, Astrid
Oude Voshaar, Richard
Pachana, Nancy A
Keywords: 1608 Sociology
Issue Date: 8-Jan-2019
Publisher: Oxford University Press (OUP)
Citation: Molde, Helge, Nordhus, Inger-Hilde, Torsheim, Torbjørn, Engedal, Knut, Bendixen, Anette Bakkane, Byrne, Gerard J, Márquez-González, María, Losada, Andres, Feng, Lei, Kuan Tai Ow, Elisabeth, Pisitsungkagarn, Kullaya, Taephant, Nattasuda, Jarukasemthawee, Somboon, Champagne, Alexandra, Landreville, Philippe, Gosselin, Patrick, Ribeiro, Oscar, Diefenbach, Gretchen J, Blank, Karen, Beaudreau, Sherry A, Laks, Jerson, Bom de Araújo, Narahyana, Paz Fonseca, Rochele, Kochhann, Renata, Camozzato, Analuiza, van den Brink, Rob, Fluiter, Mario, Naarding, Paul, Pelzers, Loeki PRM, Lugtenburg, Astrid, Oude Voshaar, Richard, Pachana, Nancy A (2019-01-08). A cross-national analysis of the psychometric properties of the Geriatric Anxiety Inventory (GAI).. J Gerontol B Psychol Sci Soc Sci. ScholarBank@NUS Repository. https://doi.org/10.1093/geronb/gbz002
Abstract: Objectives: Assessing 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. Method: Using data from 3,731 older adults from 10 national samples (Australia, Brazil, Canada, The Netherlands, Norway, Portugal, Spain, Singapore, Thailand, USA), this study used bifactor modelling 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 (MG-CFA) was applied, testing for measurement invariance across the samples. Results: Across 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.
Source Title: J Gerontol B Psychol Sci Soc Sci
URI: https://scholarbank.nus.edu.sg/handle/10635/162058
ISSN: 10795014
17585368
DOI: 10.1093/geronb/gbz002
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