Analysis of Latent Profiles in Self-regulated Learning among University Students: Focusing on Grit’s Prediction

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Latent profile analysis reveals self-regulated learning profiles in university students, suggesting grit influences their characteristics.

Higher grit scores corresponded to higher likelihood of better self-regulated learning profiles, showing a clear relationship.
The study identified four distinct profiles: high, middle-high, middle-low, and low self-regulated learning components.
Latent profile analysis was utilized to explore the relationship between grit factors and self-regulated learning outcomes.
The findings highlight the importance of grit in academic performance, indicating significant predictive power of perseverance of effort over consistency of interest.

Lim et al. (2018) studied this question.

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Latent profile analysis reveals self-regulated learning profiles in university students, suggesting grit influences their characteristics.