Literature DB >> 20954057

The state-trait anxiety inventory, trait version: does it really measure anxiety?

Arturo Bados1, Juana Gómez-Benito, Gemma Balaguer.   

Abstract

To clarify what is actually measured by the trait version of the State-Trait Anxiety Inventory (STAI; Spielberger, Gorsuch, & Lushene, 1970), we conducted a confirmatory factor analysis of various models and evaluated convergent and discriminant validity. The best fit was obtained with both a bifactor model, comprising 2 specific factors plus a general factor, and a 1-construct, 2-method model. The total score and the 2 method subscales of the STAI trait version were more strongly correlated with depression than with anxiety. In the bifactor model with 2 specific factors, the depression subscale showed stronger correlations with measures of depression than with measures of anxiety. The correlation of the hypothetical anxiety subscale with measures of depression was equivalent to or higher than its correlation with measures of anxiety. These results suggest that the questionnaire does not strictly evaluate anxiety but, rather, negative affect.

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Year:  2010        PMID: 20954057     DOI: 10.1080/00223891.2010.513295

Source DB:  PubMed          Journal:  J Pers Assess        ISSN: 0022-3891


  41 in total

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5.  Depression During Pregnancy and Adverse Birth Outcomes Among Predominantly Puerto Rican Women.

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6.  The age of anxiety? It depends where you look: changes in STAI trait anxiety, 1970-2010.

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7.  Prenatal Perceived Stress and Adverse Birth Outcomes Among Puerto Rican Women.

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8.  Invited Paper: The Rediscovery of Bifactor Measurement Models.

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Review 9.  Specificity of trait anxiety in anxiety and depression: Meta-analysis of the State-Trait Anxiety Inventory.

Authors:  Kelly A Knowles; Bunmi O Olatunji
Journal:  Clin Psychol Rev       Date:  2020-10-10

10.  Arginine and asymmetric dimethylarginine in pregnant women with major depression.

Authors:  Alexander Raw; Marcia Gallaher; Robert W Powers
Journal:  Psychosom Med       Date:  2014 Jul-Aug       Impact factor: 4.312

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