Table 2 Exact P values and 95% CIs for the regression models in study 6

From: Psychological reactions to human versus robotic job replacement

  Dependent variable
  Self-threat Future economic concerns
Model 1a 2a 3a 4a 1b 2b 3b 4b
Attribution of job loss to robotic replacement P = 0.313 (−0.14, 0.06) P = 0.108 (−0.17, 0.03) P = 0.152 (−0.16, 0.04) P = 0.174 (−0.15, 0.04) P = 0.026 (0.02, 0.14) P = 0.011 (0.03, 0.16) P = 0.011 (0.03, 0.16) P = 0.015 (0.02, 0.16)
Attribution of job loss to human replacement P < 0.001 (0.09, 0.22) P < 0.001 (0.06, 0.20) P < 0.001 (0.07, 0.21) P < 0.001 (0.06, 0.20) P = 0.024 (0.01, 0.14) P = 0.240 (−0.03, 0.10) P = 0.202 (−0.03, 0.12) P = 0.143 (−0.02, 0.12)
Attribution of job loss to other reasons P = 0.206 (−0.02, 0.13) P = 0.495 (−0.05, 0.09) P = 0.451 (−0.04, 0.10) P = 0.533 (−0.05, 0.09) P = 0.020 (0.02, 0.15) P = 0.040 (0.01, 0.15) P = 0.032 (0.01, 0.15) P = 0.024 (0.01, 0.15)
Future economic concerns   P < 0.001 (0.13, 0.44) P = 0.001 (0.09, 0.43) P = 0.001 (0.11, 0.43)     
Self-threat       P < 0.001 (0.10, 0.35) P = 0.001 (0.07, 0.38) P = 0.001 (0.08, 0.34)
Time worked at former company    P = 0.133 (−0.45, 0.08) P = 0.154 (−0.49, 0.08)    P = 0.316 (−0.11, 0.34) P = 0.935 (−0.25, 0.27)
Number of employees at former company    P = 0.850 (−0.07, 0.09) P = 0.990 (−0.07, 0.09)    P = 0.744 (−0.08, 0.06) P = 0.567 (−0.09, 0.05)
Former income    P = 0.009 (0.06, 0.34) P = 0.017 (0.02, 0.41)    P = 0.218 (−0.05, 0.20) P = 0.315 (−0.10, 0.23)
Duration of unemployment    P = 0.914 (−0.03, 0.03) P = 0.714 (−0.03, 0.03)    P = 0.444 (−0.01, 0.07) P = 0.913 (−0.01, 0.07)
Currently unemployed     P = 0.732 (−0.58, 0.39)     P = 0.307 (−0.26, 0.58)
Current income     P = 0.965 (−0.17, 0.15)     P = 0.374 (−0.20, 0.10)
Gender     P = 0.007 (−1.00, −0.16)     P = 0.686 (−0.31, 0.47)
Age     P = 0.744 (−0.03, 0.02)     P = 0.045 (0.00, 0.04)
Dummy (some college; no degree)     P = 0.730 (−0.89, 0.60)     P = 0.930 (−0.67, 0.75)
Dummy (university degree or more)     P = 0.903 (−0.76, 0.67)     P = 0.428 (−0.44, 0.92)
Intercept P < 0.001 (1.80, 3.38) P = 0.001 (0.66, 2.60) P = 0.008 (0.39, 2.50) P = 0.002 (0.69, 3.52) P < 0.001 (2.53, 4.02) P < 0.001 (1.82, 3.52) P < 0.001 (1.14, 3.20) P = 0.005 (0.19, 2.93)
  1. Values in parentheses are 95% CIs, using bootstrapping with 1,000 resamples.