Age, gender, class level and voluntary programme choice do not significantly predict job search anxiety in the adjusted model¶

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? Age, gender, class level and voluntary department choice showed no statistically significant predictive power once other variables were controlled; the bivariate gender–AI anxiety correlation (r = 0.194) lost significance in regression. → 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

Multivariate regression (N = 821): the authors report that "age, gender, class level and programme choice did not demonstrate statistically significant predictive power" after covariate adjustment; equivalence was not tested.

"By contrast, variables such as age, gender, class level and programme choice did not demonstrate statistically significant predictive power once the effects of the other variables had been taken into account."

Discussion¶

Learner Variables¶

• Age and Developmental Stage — 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
• AI anxiety predicts job search anxiety after controlling for socio-demographic variables — related
• Income status negatively and educational level positively predict job search anxiety — reports the opposite
• Demographic differences in AI anxiety are small, with only grade showing a significant but modest effect — related
• Second-year students report higher job finding anxiety and AI anxiety than students in other academic years — reports the opposite
• Social science students report higher job finding anxiety and AI anxiety than natural and applied field students, with small effect sizes — related
• General AI literacy is not significantly related to in-service science educators' AI use or to their age, gender, or years of service — related
• Technology anxiety is a positive predictor of AI literacy once other determinants are controlled, despite a negative zero-order correlation — related
• Intervention effects of SRI did not differ by student background or ability variables — related
• AI anxiety is moderately and positively correlated with university students' job finding anxiety — related