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Table 4.

Model fit for measurement invariance tests.

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Fig 1.

Conceptual diagram of the MIMIC model for AIM–N.

Note. Latent factors (circles) indicated by their items (subset shown for clarity); observed covariates (squares: gender, study level, field, AI usage) predict the latent factors. The dashed arrow illustrates a potential DIF path (covariate → item) representing an intercept shift beyond the latent trait. Diagram is schematic and not to scale; no coefficients are shown here. Abbreviations: AIM–N, MIMIC, DIF.

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Fig 1 Expand

Fig 2.

MIMIC model results for AIM–N (standardized coefficients).

Note. Standardized path coefficients (β) are displayed only for significant predictors (p <.05); non-significant paths omitted for clarity. Dashed arrow denotes a retained DIF effect (e.g., Field → “stay competitive”/ “degree losing value”). Model fit for the results diagram: χ²(270) = 603.5, CFI =.958, RMSEA =.050; N = 904. Abbreviations: DIF = Differential Item Functioning. See Table 4 for numerical B, SE, β and exact p-values.

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Fig 2 Expand

Table 1.

Descriptive statistics and reliability for AIM-N subscales (N = 904).

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Table 1 Expand

Table 2.

Exploratory factor analysis (EFA) for the identification of the latent structure of AIM-N scale.

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Table 2 Expand

Table 3.

Correlations among AIM-N Latent Factors (CFA).

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Table 3 Expand

Table 5.

MIMIC model regression paths and DIF Effects.

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Table 6.

AIM-N scale items, subscales, and standardized CFA Loadings.

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Table 6 Expand