Evaluating a shortened Achievement Emotions Questionnaire predicts procrastination in Rioplatense adolescents, suggesting effective emotional measurement.
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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Casas et al. (2026) studied this question.
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