Prediction of cognitive learning performance from multivariate state‐change scores

Abstract

While the role of non-ability intrapersonal variables including personality traits and motivational dynamic factors has been well documented in numerous studies, the relationship of transient states to cognitive performance has been relatively neglected. Boyle (1983b, 1986) demonstrated that emotional states powerfully influence cognitive learning outcomes under conditions of stressful activation. However, under neutral, non-emotive conditions, it remained unclear what role if any was played by mood states in cognitive learning. The failure to employ change measures in these studies may have obscured the likely influence of emotions on cognitive performance in the neutral situation. This study reexamines the relationship of moods with cognitive learning performance using state-change scores rather than single-occasion mood-state scores as the basis for predicting cognitive learning outcomes.

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Cite this paper

@inproceedings{Boyle2017PredictionOC, title={Prediction of cognitive learning performance from multivariate state‐change scores}, author={Gregory John Boyle}, year={2017} }