Evidence map›Paper›PMID 38886835›Full record

ArticleBMC psychology2024

Measurement invariance of the Pandemic Anxiety Inventory in different demographic groups.

Irvin Sam Schonfeld, Tasmyn Prytherch, Mark Cropley, Jay Verkuilen, Renzo Bianchi

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Article in BMC psychology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Irvin Sam SchonfeldDept. of Psychology, The City College and the Graduate Center of the City University of New York, New York City, USA. ischonfeld@ccny.cuny.edu.
Tasmyn PrytherchDept. of Psychology, University of Surrey, Guildford, Surrey, UK.
Mark CropleyDept. of Psychology, University of Surrey, Guildford, Surrey, UK.
Jay VerkuilenThe Program in Educational Psychology, the Graduate Center of the City University of New York, New York City, USA.
Renzo BianchiDept. of Psychology, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Pandemic Anxiety Inventory (PAI) was developed in the context of the COVID-19 pandemic. Its content allows it to assess anxiety in connection to any pandemic. Previous research has demonstrated the instrument's reliability and validity. An important question for clinicians and researchers, however, remains open: Does the PAI have similar meaning for members of different demographic groups? The finding of measurement invariance would allow clinicians and researchers to comparatively assess pandemic-related anxiety across demographic groups, including favored and disfavored groups.

methodsWe conducted a multi-group confirmatory factor analysis to assess the measurement invariance of the PAI using data obtained from a sample of 379 residents of the United Kingdom.

resultsThe PAI demonstrated invariance across genders, age groups, individuals who are married or in a relationship and those who are not, as well as individuals with higher and lower incomes. In an ancillary analysis, we found invariance across subsamples of Whites and Nonwhites, although we note that the Nonwhite group was small (n = 60) and heterogeneous. The findings of a supplemental MIMIC analysis were consistent with the above.

conclusionsThe PAI shows measurement invariance across a variety of demographic groups. Our findings suggest that the instrument can be meaningfully employed to compare pandemic-related anxiety across these groups.

Indexed as

AnxietyCOVID-19AdolescentAdultAgedFactor Analysis, StatisticalFemaleHumansMaleMiddle AgedPsychometricsReproducibility of ResultsUnited KingdomYoung AdultConfirmatory factor analysisDemographic groupsMeasurement invarianceMIMIC analysisPandemic Anxiety Inventory

Identifiers

PMID38886835
PMCPMC11181577

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