A 32-Item Achievement Emotions Questionnaire (AEQ) for Argentina and Uruguay

Abstract: Full Achievement Emotions Questionnaire (AEQ) forms are lengthy, and no validated brief version exists for Rioplatense adolescents or young adults. We therefore evaluated a shortened AEQ class-domain form in a secondary-school student sample ( n = 374). We contrasted two CFA specifications: an independent cluster model (ICM) and a third-order hierarchical model in which eight emotions loaded on two valence dimensions that in turn loaded on a general emotional engagement factor (GEE), reflecting overall affective involvement in class. The hierarchical (CFI = .952, RMSEA = .062) showed slightly better fit than the ICM (CFI = .949, RMSEA = .066) and was retained as the primary measurement solution. Schmid–Leiman results supported a strong GEE factor (ω = .98, ω h = .76), and this factor predicted procrastination as expected (β = −.71, p < .001). Results support two alternative scoring approaches – eight subscales or a model-estimated GEE – to index either discrete emotions or a broad engagement continuum within a measurement/prediction framework.

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Publication Details

Journal
Psychological Test Adaptation and Development
Published
2026-04-01
DOI
https://doi.org/10.1027/2698-1866/a000124
Primary Topic
Perfectionism, Procrastination, Anxiety Studies
Type
article
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article

A 32-Item Achievement Emotions Questionnaire (AEQ) for Argentina and Uruguay

Víctor Ortuño, Antonio Javier Casas
Psychological Test Adaptation and Development
Perfectionism, Procrastination, Anxiety Studies
article

A 32-Item Achievement Emotions Questionnaire (AEQ) for Argentina and Uruguay

Víctor Ortuño, Antonio Javier Casas
article en

Abstract

Abstract: Full Achievement Emotions Questionnaire (AEQ) forms are lengthy, and no validated brief version exists for Rioplatense adolescents or young adults. We therefore evaluated a shortened AEQ class-domain form in a secondary-school student sample ( n = 374). We contrasted two CFA specifications: an independent cluster model (ICM) and a third-order hierarchical model in which eight emotions loaded on two valence dimensions that in turn loaded on a general emotional engagement factor (GEE), reflecting overall affective involvement in class. The hierarchical (CFI = .952, RMSEA = .062) showed slightly better fit than the ICM (CFI = .949, RMSEA = .066) and was retained as the primary measurement solution. Schmid–Leiman results supported a strong GEE factor (ω = .98, ω h = .76), and this factor predicted procrastination as expected (β = −.71, p < .001). Results support two alternative scoring approaches – eight subscales or a model-estimated GEE – to index either discrete emotions or a broad engagement continuum within a measurement/prediction framework.

Psychological Test Adaptation and DevelopmentVol. 7
Universidad de la República de Uruguay (UY), Universidad CLAEH (UY), Universidad de Montevideo (UY)
Quality Education
Openalex Percentile: Top 21%
Perfectionism, Procrastination, Anxiety Studies
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A 32-Item Achievement Emotions Questionnaire (AEQ) for Argentina and Uruguay — Víctor Ortuño, Antonio Javier Casas · Psychological Test Adaptation and Development (2026) | TGRS Research Map | TGRS