Table 2 Results of Fornell–Larcker and HTMT analyses.

From: The chain mediating role of critical thinking and AI self-efficacy in GenAI usage competence and engineering students’ creativity

Construct

AISE

CT

ESC

GUC

AISE

0.869

0.864

0.739

0.700

CT

0.817

0.854

0.795

0.693

ESC

0.714

0.750

0.910

0.607

GUC

0.662

0.643

0.573

0.794

  1. The lower triangle represents the Pearson correlation coefficients between constructs, while the diagonal contains the square roots of the AVE. The upper triangle represents the heterotrait–monotrait (HTMT) ratio with values in bold and italics. AISE, Artificial Intelligence Self-Efficacy; CT, Critical Thinking; ESC, Engineering Students’ Creativity; GUC, Generative Artificial Intelligence Usage Competence.
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