Table 6.

Results of seemingly unrelated hierarchical regression analyses with self-threat and resistance to change as dependent variables (full model 4).

				Coefficient (SE; 95% CI)		Z value		P value
Model 4a with dependent variable self-threat
	Stage 1 (controls)
		Age	–0.034 (0.009; –0.052 to –0.016)		–3.650		<.001
		Gender	–0.134 (0.134; –0.396 to 0.129)		–1.000		.39
		Familiarity	–0.086 (0.072; –0.226 to 0.054)		–1.210		.25
		Group (experienced and novice)	0.317 (0.218; –0.109 to 0.744)		1.460		.15
	Step 2 (identity threats)
		ProReca	0.503 (0.070; 0.366 to 0.641)		7.170		<.001
		ProCapb	0.372 (0.080; 0.215 to 0.529)		4.650		<.001
	Step 3 (Temporal distance of AIc, interactions)
		Temporal distance	0.137 (0.077; –0.014 to 0.289)		1.780		.08
		Temporal distance x ProRec	0.291 (0.078; 0.138 to 0.443)		3.730		<.001
		Temporal distance x ProCap	–0.203 (0.086; –0.372 to –0.034)		–2.350		.02
	Intercept			1.071 (0.276; 0.531 to 1.611)		3.880		<.001
Model 4b with dependent variable resistance
	Stage 1 (controls)
		Age	–0.001 (0.009; –0.018 to 0.016)		–0.130		.90
		Gender	–0.134 (0.127; –0.382 to 0.114)		–1.060		.29
		Familiarity	–0.066 (0.068; –0.198 to 0.067)		–0.970		.33
		Group (experienced and novice)	–0.061 (0.206; –0.465 to 0.343)		–0.300		.77
	Step 2 (identity threats)
		ProRec	0.055 (0.066; –0.076 to 0.185)		0.820		.41
		ProCap	0.400 (0.076; 0.251 to 0.548)		5.270		<.001
	Step 3 (Temporal distance of AI, interactions)
		Temporal distance	0.149 (0.073; 0.005 to 0.292)		2.030		.04
		Temporal distance x ProRec	0.087 (0.074; –0.057 to 0.232)		1.190		.24
		Temporal distance x ProCap	–0.165 (0.082; –0.325 to –0.005)		–2.020		.04
	Intercept			0.237 (0.261; –0.274 to 0.748)		0.910		.36

^aProRec: threats to professional recognition.

^bProCap: threats to professional capabilities.

^cAI: artificial intelligence.