The study aims to develop a scale to measure self-regulated learning and estimate its psychometric indices. It is framed on a wider development of a smartphone app containing tools for college undergraduates to self-assess and train their self-regulated learning strategies. Therefore, 209 items were created using a mixed rational-empirical approach. Content and face validity analyses led to retaining 68 items, later examined via exploratory factor analysis. The extracted solution retained 31 items, grouped into 5 factors − Cognitive, Meta-Cognitive, Motivational, Emotional, and Social. Such structure was tested via an exploratory structural equation modeling analysis, obtaining optimal fit indices as well. Factorial invariance, criterion validity, and stability-reliability were also verified. In sum, a scale with adequate psychometric features is here introduced. It has been added to the smartphone app that lets students get the results of their learning strategies self-assessment and recommendations to self-regulate them.
Hoffmann et al. (Mon,) studied this question.
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