Table 2 Result of structural equation modeling for model 1.

From: AI-driven language learning in higher education: an empirical study on self-reflection, creativity, anxiety, and emotional resilience in EFL learners

Response variable

Direction

Explanatory variables

Estimate

S.E.

C.R.

P

SR

<---

CAIF

0.143

0.123

1.166

0.043**

SR

<---

MAIF

0.042

0.107

0.393

0.094*

SR

<---

Age

0.002

0.008

0.313

0.754

SR

<---

Gender

0.058

0.043

1.354

0.176

SR

<---

LPL

0.104

0.052

1.991

0.046**

Likelihood Ratio (LR) test

 

p-value

0.07

  

Comparative Fit Index (CFI) test

 

CFI value

0.96

  

Root Mean Square Error of Approximation (RMSEA) test

RMSEA value

0.05

  

Goodness of Fit Index (GFI)

GFI value

0.93

  

Adjusted Goodness of Fit Index (AGFI)

AGFI value

0.90

  

Tucker-Lewis Index (TLI)

TLI value

0.91

  
  1. Source: Author’s computation.
  2. **and * denote significant at 5% and 10 levels of significance, respectively.