Comparing models for generating a system of activation and inhibition of self-regulated learning
The study investigated the effect of activation and negative affect on self-regulation. The activation factors are self-determination, disengagement, initiative, and persistence while negative affect is composed of worry, anxiety, thought suppression, and fear of negative evaluation. Separate measur...
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oai:animorepository.dlsu.edu.ph:etd_doctoral-24402023-10-18T07:52:04Z Comparing models for generating a system of activation and inhibition of self-regulated learning Magno, Carlo The study investigated the effect of activation and negative affect on self-regulation. The activation factors are self-determination, disengagement, initiative, and persistence while negative affect is composed of worry, anxiety, thought suppression, and fear of negative evaluation. Separate measures were used for each factor and administered to 1454 collegiate students. A time-wave design was used where the activation and negative affect factors were administered in the first wave and the self-regulation in the second. It was hypothesized in the study that the effect of negative affect on self-regulation can be moderated by levels of activation factors. Three models were tested using Structural Equations Modeling (SEM) to determine which structure of negative affect and activation best generates self-regulation. The results show that activation and negative affect each differently affect self-regulation, p The theoretical and educational implications of the findings are discussed. 2008-04-01T07:00:00Z text application/pdf https://animorepository.dlsu.edu.ph/etd_doctoral/1495 Dissertations English Animo Repository Regulatory focus (Psychology) Self-management (Psychology) Independent study Educational Assessment, Evaluation, and Research Educational Psychology |
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Regulatory focus (Psychology) Self-management (Psychology) Independent study Educational Assessment, Evaluation, and Research Educational Psychology Magno, Carlo Comparing models for generating a system of activation and inhibition of self-regulated learning |
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The study investigated the effect of activation and negative affect on self-regulation. The activation factors are self-determination, disengagement, initiative, and persistence while negative affect is composed of worry, anxiety, thought suppression, and fear of negative evaluation. Separate measures were used for each factor and administered to 1454 collegiate students. A time-wave design was used where the activation and negative affect factors were administered in the first wave and the self-regulation in the second. It was hypothesized in the study that the effect of negative affect on self-regulation can be moderated by levels of activation factors. Three models were tested using Structural Equations Modeling (SEM) to determine which structure of negative affect and activation best generates self-regulation. The results show that activation and negative affect each differently affect self-regulation, p
The theoretical and educational implications of the findings are discussed. |
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Magno, Carlo |
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Magno, Carlo |
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Magno, Carlo |
title |
Comparing models for generating a system of activation and inhibition of self-regulated learning |
title_short |
Comparing models for generating a system of activation and inhibition of self-regulated learning |
title_full |
Comparing models for generating a system of activation and inhibition of self-regulated learning |
title_fullStr |
Comparing models for generating a system of activation and inhibition of self-regulated learning |
title_full_unstemmed |
Comparing models for generating a system of activation and inhibition of self-regulated learning |
title_sort |
comparing models for generating a system of activation and inhibition of self-regulated learning |
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Animo Repository |
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2008 |
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https://animorepository.dlsu.edu.ph/etd_doctoral/1495 |
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