Generalizability theory distinguishes between state and trait anxiety.


Journal

Psychological assessment
ISSN: 1939-134X
Titre abrégé: Psychol Assess
Pays: United States
ID NLM: 8915253

Informations de publication

Date de publication:
Nov 2021
Historique:
pubmed: 17 8 2021
medline: 28 10 2021
entrez: 16 8 2021
Statut: ppublish

Résumé

Accurate distinction between state and trait anxiety is necessary for assessment and monitoring of individual anxiety levels over time and developing effective interventions to reduce anxiety. Generalizability theory (G-theory) is a suitable method to distinguish between state and trait and to evaluate reliability of test scores and sources of measurement error in the assessment of affective conditions. We applied G-theory to the widely used 40-item State and Trait Anxiety Inventory (STAI) completed by 139 participants on three occasions separated by 2-week intervals. The results show that both subscales of the STAI demonstrated excellent reliability for test scores in measuring trait anxiety with high generalizability of scores across occasions and persons (

Identifiants

pubmed: 34398636
pii: 2021-73980-001
doi: 10.1037/pas0001060
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1080-1088

Auteurs

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Classifications MeSH