Abstract

Spielberger's State-Trait Anxiety Model makes a theoretical distinction between the contribution of dispositional anxiety and the transitory experience of anxiety to performance difficulties during testing situations. According to the State-Trait framework, state anxiety is viewed as the primary performance barrier for test-anxious students, and as such, educators and educational researchers have expressed interest in validated, state anxiety measurement tools. Currently, the most widely used measure of state anxiety is the state version of the State-Trait Anxiety Inventory. However, evidence regarding the psychometric properties of this scale is relatively scarce. Therefore, the current study was designed to determine the structural validity, reliability, and concurrent/divergent validity of the instrument. Participants (N = 294) completed the state version of the State-Trait Anxiety Inventory, Positive and Negative Affect Schedule, Cognitive Test Anxiety Scale 2nd Edition, and an exam task. Using confirmatory factor analysis, we tested the viability of one-, two-, and bi-factor solutions for the State-Trait Anxiety Inventory. Confirmatory factor analysis results indicated a two-factor solution consisting of State Anxiety and State Calmness dimensions provided superior fit to the observed data. Results of a reliability analysis indicated that the State Anxiety and State Calmness factors demonstrated excellent internal consistency when applied to university students. Our discussion concerns the utility of the State Anxiety factor as a tool for the identification of test-anxious students.

Description

Copyright © The Author(s) 2021. Creative Commons License (CC BY 4.0). This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).

Publisher

Sage Open

Date of publication

Summer 7-16-2021

Language

english

Persistent identifier

http://hdl.handle.net/10950/4456

Document Type

Article

Included in

Education Commons

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