AI anxiety predicts job search anxiety after controlling for socio-demographic variables¶

Claim · All claims
Evidence · 1 study · associational r2 · q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i? In hierarchical regression, AI anxiety remained a significant predictor of job search anxiety (β = 0.234, p < 0.001) after socio-demographic controls, adding ΔR2 = 0.053 explained variance. → Dağ 2026

Evidence¶

Dağ 2026¶

Dağ, E., Nal, M., Topuz, İ., Kılınç, H., Demir, Y. & Bektaş, G. (2026). Artificial intelligence perceptions and career anxiety among health sciences students. Scientific Reports. https://doi.org/10.1038/s41598-026-42030-z

q2 · i? · associational · r2

Hierarchical multiple linear regression (Model 2, N = 821): Model 1 explained R2 = 0.030; adding AI anxiety raised it to R2 = 0.083, with "ΔR2 = 0.053; F-change (1, 812) = 46.93; p < 0.001". The abstract reports β = 0.234 for AI anxiety.

"AI anxiety has significantly increased the explained variance beyond that of demographic variables (ΔR2 = 0.053; F-change (1, 812) = 46.93; p < 0.001)."

Discussion¶

Learner Variables¶

• Affect Regulation — predictor: learners who differ on it differ in outcomes

Related Claims¶

• AI anxiety is positively and significantly correlated with job search anxiety among health sciences students — related
• Age, gender, class level and voluntary programme choice do not significantly predict job search anxiety in the adjusted model — related
• Income status negatively and educational level positively predict job search anxiety — related