Study 2

Dystans

  Estimate Std. Error t value Pr(>|t|)
scale(RWA) 0.3276 0.1256 2.609 0.009949
niepewnosc_dum 0.2492 0.2189 1.138 0.2567
IDENT01 -0.06375 0.19 -0.3355 0.7377
scale(RWA):niepewnosc_dum 0.3168 0.2165 1.463 0.1454
scale(RWA):IDENT01 0.2458 0.1889 1.301 0.1951
niepewnosc_dum:IDENT01 -0.4533 0.316 -1.435 0.1533
scale(RWA):niepewnosc_dum:IDENT01 -0.6441 0.3229 -1.995 0.04775
(Intercept) 0.002144 0.1302 0.01646 0.9869
Fitting linear model: scale(dyst_czysty) ~ scale(RWA) * niepewnosc_dum * IDENT01
Observations Residual Std. Error \(R^2\) Adjusted \(R^2\)
167 0.9046 0.2163 0.1818
  Estimate Std. Error t value Pr(>|t|)
scale(RWA) 0.4089 0.1067 3.834 0.0001812
zagrozenie_dum -0.1814 0.3385 -0.5359 0.5928
IDENT01 -0.1409 0.1583 -0.8902 0.3747
scale(RWA):zagrozenie_dum 0.08268 0.3312 0.2496 0.8032
scale(RWA):IDENT01 0.08653 0.1569 0.5514 0.5821
zagrozenie_dum:IDENT01 -0.2792 0.4814 -0.5801 0.5627
scale(RWA):zagrozenie_dum:IDENT01 -0.6018 0.6399 -0.9405 0.3484
(Intercept) 0.08672 0.1088 0.797 0.4267
Fitting linear model: scale(dyst_czysty) ~ scale(RWA) * zagrozenie_dum * IDENT01
Observations Residual Std. Error \(R^2\) Adjusted \(R^2\)
167 0.911 0.2051 0.1701
  Estimate Std. Error t value Pr(>|t|)
scale(RWA) 0.4112 0.1067 3.854 0.0001682
kontrola_dum 0.1348 0.3234 0.4166 0.6775
IDENT01 -0.09718 0.1572 -0.6182 0.5373
scale(RWA):kontrola_dum 0.09766 0.3297 0.2962 0.7675
scale(RWA):IDENT01 0.07972 0.1587 0.5022 0.6162
kontrola_dum:IDENT01 -0.7748 0.5143 -1.506 0.1339
scale(RWA):kontrola_dum:IDENT01 -0.02067 0.51 -0.04052 0.9677
(Intercept) 0.04989 0.1095 0.4556 0.6493
Fitting linear model: scale(dyst_czysty) ~ scale(RWA) * kontrola_dum * IDENT01
Observations Residual Std. Error \(R^2\) Adjusted \(R^2\)
167 0.9121 0.2031 0.168
  Estimate Std. Error t value Pr(>|t|)
scale(RWA) 0.3294 0.1269 2.596 0.01037
kontrola_dum 0.1082 0.3874 0.2792 0.7804
IDENT01 -0.05056 0.1927 -0.2624 0.7933
zagrozenie_dum -0.4371 0.3988 -1.096 0.2748
niepewnosc_dum 0.333 0.2496 1.334 0.1842
scale(RWA):kontrola_dum -0.1035 0.4034 -0.2565 0.7979
scale(RWA):IDENT01 0.2376 0.1909 1.244 0.2153
kontrola_dum:IDENT01 -0.6905 0.5741 -1.203 0.2309
scale(RWA):zagrozenie_dum -0.1565 0.4028 -0.3886 0.6981
IDENT01:zagrozenie_dum 0.03479 0.5497 0.06329 0.9496
scale(RWA):niepewnosc_dum 0.3899 0.2605 1.497 0.1365
IDENT01:niepewnosc_dum -0.3383 0.3681 -0.9189 0.3596
scale(RWA):kontrola_dum:IDENT01 0.3764 0.6149 0.6121 0.5414
scale(RWA):IDENT01:zagrozenie_dum -0.1525 0.722 -0.2112 0.833
scale(RWA):IDENT01:niepewnosc_dum -0.6912 0.4027 -1.716 0.08815
(Intercept) 0.009749 0.132 0.07388 0.9412
Fitting linear model: scale(dyst_czysty) ~ scale(RWA) * kontrola_dum * IDENT01 + scale(RWA) * zagrozenie_dum * IDENT01 + scale(RWA) * niepewnosc_dum * IDENT01
Observations Residual Std. Error \(R^2\) Adjusted \(R^2\)
167 0.9139 0.2402 0.1648

Sympatia

  Estimate Std. Error t value Pr(>|t|)
scale(RWA) 0.03986 0.1359 0.2932 0.7697
niepewnosc_dum 0.06832 0.237 0.2882 0.7735
IDENT01 -0.1158 0.2057 -0.5631 0.5741
scale(RWA):niepewnosc_dum 0.4773 0.2344 2.037 0.04336
scale(RWA):IDENT01 0.2887 0.2045 1.412 0.16
niepewnosc_dum:IDENT01 -0.04517 0.3421 -0.1321 0.8951
scale(RWA):niepewnosc_dum:IDENT01 -0.9478 0.3495 -2.712 0.007428
(Intercept) 0.0483 0.141 0.3425 0.7324
Fitting linear model: scale(sympatia) ~ scale(RWA) * niepewnosc_dum * IDENT01
Observations Residual Std. Error \(R^2\) Adjusted \(R^2\)
167 0.9793 0.08148 0.04105
  Estimate Std. Error t value Pr(>|t|)
scale(RWA) 0.1573 0.1156 1.36 0.1756
zagrozenie_dum -0.1521 0.3668 -0.4147 0.6789
IDENT01 -0.05444 0.1715 -0.3174 0.7514
scale(RWA):zagrozenie_dum 0.4776 0.359 1.33 0.1853
scale(RWA):IDENT01 0.04645 0.1701 0.2731 0.7851
zagrozenie_dum:IDENT01 0.03216 0.5217 0.06165 0.9509
scale(RWA):zagrozenie_dum:IDENT01 -1.315 0.6935 -1.896 0.05983
(Intercept) 0.04633 0.1179 0.3928 0.695
Fitting linear model: scale(sympatia) ~ scale(RWA) * zagrozenie_dum * IDENT01
Observations Residual Std. Error \(R^2\) Adjusted \(R^2\)
167 0.9874 0.06624 0.02513
  Estimate Std. Error t value Pr(>|t|)
scale(RWA) 0.1888 0.1166 1.619 0.1074
kontrola_dum 0.2347 0.3536 0.6637 0.5078
IDENT01 0.009063 0.1719 0.05274 0.958
scale(RWA):kontrola_dum 0.2331 0.3605 0.6468 0.5187
scale(RWA):IDENT01 0.01845 0.1735 0.1063 0.9155
kontrola_dum:IDENT01 -0.3942 0.5623 -0.701 0.4843
scale(RWA):kontrola_dum:IDENT01 -0.5723 0.5575 -1.027 0.3061
(Intercept) -0.005495 0.1197 -0.04591 0.9634
Fitting linear model: scale(sympatia) ~ scale(RWA) * kontrola_dum * IDENT01
Observations Residual Std. Error \(R^2\) Adjusted \(R^2\)
167 0.9971 0.04771 0.005788
  Estimate Std. Error t value Pr(>|t|)
scale(RWA) 0.04017 0.1379 0.2912 0.7713
kontrola_dum 0.2915 0.4212 0.692 0.49
IDENT01 -0.1063 0.2094 -0.5077 0.6124
zagrozenie_dum -0.3593 0.4335 -0.8287 0.4086
niepewnosc_dum 0.07987 0.2714 0.2943 0.7689
scale(RWA):kontrola_dum -0.18 0.4385 -0.4105 0.682
scale(RWA):IDENT01 0.285 0.2076 1.373 0.1717
kontrola_dum:IDENT01 -0.4755 0.6241 -0.7619 0.4473
scale(RWA):zagrozenie_dum 0.227 0.4379 0.5185 0.6049
IDENT01:zagrozenie_dum 0.1999 0.5975 0.3346 0.7384
scale(RWA):niepewnosc_dum 0.4468 0.2832 1.578 0.1167
IDENT01:niepewnosc_dum 0.03682 0.4002 0.09199 0.9268
scale(RWA):kontrola_dum:IDENT01 0.0127 0.6685 0.01899 0.9849
scale(RWA):IDENT01:zagrozenie_dum -0.8841 0.7849 -1.126 0.2618
scale(RWA):IDENT01:niepewnosc_dum -0.7494 0.4378 -1.712 0.08899
(Intercept) 0.0496 0.1434 0.3458 0.73
Fitting linear model: scale(sympatia) ~ scale(RWA) * kontrola_dum * IDENT01 + scale(RWA) * zagrozenie_dum * IDENT01 + scale(RWA) * niepewnosc_dum * IDENT01
Observations Residual Std. Error \(R^2\) Adjusted \(R^2\)
167 0.9935 0.1021 0.01292

Zaufanie

  Estimate Std. Error t value Pr(>|t|)
scale(RWA) 0.1336 0.1326 1.007 0.3153
niepewnosc_dum 0.3361 0.2312 1.454 0.148
IDENT01 -0.003024 0.2006 -0.01507 0.988
scale(RWA):niepewnosc_dum 0.5916 0.2286 2.588 0.01054
scale(RWA):IDENT01 0.1917 0.1995 0.9612 0.3379
niepewnosc_dum:IDENT01 -0.3195 0.3336 -0.9577 0.3397
scale(RWA):niepewnosc_dum:IDENT01 -1.092 0.3409 -3.204 0.001639
(Intercept) -0.03594 0.1375 -0.2613 0.7942
Fitting linear model: scale(zaufanie) ~ scale(RWA) * niepewnosc_dum * IDENT01
Observations Residual Std. Error \(R^2\) Adjusted \(R^2\)
167 0.9551 0.1263 0.08785
  Estimate Std. Error t value Pr(>|t|)
scale(RWA) 0.2583 0.1138 2.271 0.02451
zagrozenie_dum 0.01199 0.361 0.03322 0.9735
IDENT01 0.003835 0.1688 0.02272 0.9819
scale(RWA):zagrozenie_dum 0.5746 0.3533 1.626 0.1059
scale(RWA):IDENT01 -0.08181 0.1674 -0.4888 0.6257
zagrozenie_dum:IDENT01 -0.3079 0.5135 -0.5996 0.5497
scale(RWA):zagrozenie_dum:IDENT01 -1.216 0.6826 -1.782 0.07664
(Intercept) 0.03927 0.1161 0.3383 0.7356
Fitting linear model: scale(zaufanie) ~ scale(RWA) * zagrozenie_dum * IDENT01
Observations Residual Std. Error \(R^2\) Adjusted \(R^2\)
167 0.9717 0.09554 0.05572
  Estimate Std. Error t value Pr(>|t|)
scale(RWA) 0.3013 0.1132 2.661 0.008597
kontrola_dum 0.5349 0.3433 1.558 0.1212
IDENT01 0.08623 0.1669 0.5168 0.606
scale(RWA):kontrola_dum 0.2024 0.35 0.5783 0.5639
scale(RWA):IDENT01 -0.09073 0.1685 -0.5386 0.5909
kontrola_dum:IDENT01 -0.9543 0.5459 -1.748 0.0824
scale(RWA):kontrola_dum:IDENT01 -0.6703 0.5413 -1.238 0.2174
(Intercept) -0.03109 0.1162 -0.2675 0.7894
Fitting linear model: scale(zaufanie) ~ scale(RWA) * kontrola_dum * IDENT01
Observations Residual Std. Error \(R^2\) Adjusted \(R^2\)
167 0.9681 0.1023 0.06275
  Estimate Std. Error t value Pr(>|t|)
scale(RWA) 0.1333 0.1325 1.006 0.316
kontrola_dum 0.4592 0.4046 1.135 0.2582
IDENT01 0.02178 0.2012 0.1083 0.9139
zagrozenie_dum -0.4017 0.4165 -0.9645 0.3363
niepewnosc_dum 0.3238 0.2607 1.242 0.2161
scale(RWA):kontrola_dum -0.3469 0.4213 -0.8235 0.4115
scale(RWA):IDENT01 0.1846 0.1994 0.9258 0.356
kontrola_dum:IDENT01 -0.9736 0.5995 -1.624 0.1065
scale(RWA):zagrozenie_dum 0.2869 0.4207 0.682 0.4963
IDENT01:zagrozenie_dum -0.01871 0.574 -0.03259 0.974
scale(RWA):niepewnosc_dum 0.5831 0.272 2.144 0.03366
IDENT01:niepewnosc_dum -0.05081 0.3844 -0.1322 0.895
scale(RWA):kontrola_dum:IDENT01 -0.04316 0.6422 -0.06721 0.9465
scale(RWA):IDENT01:zagrozenie_dum -0.8418 0.754 -1.116 0.266
scale(RWA):IDENT01:niepewnosc_dum -0.81 0.4206 -1.926 0.05597
(Intercept) -0.03699 0.1378 -0.2684 0.7887
Fitting linear model: scale(zaufanie) ~ scale(RWA) * kontrola_dum * IDENT01 + scale(RWA) * zagrozenie_dum * IDENT01 + scale(RWA) * niepewnosc_dum * IDENT01
Observations Residual Std. Error \(R^2\) Adjusted \(R^2\)
167 0.9544 0.1714 0.08911

Study 4

Uczucia

  Estimate Std. Error t value Pr(>|t|)
scale(autorytaryzm) -0.04074 0.1285 -0.3171 0.7514
niepewnosc_dum 0.1076 0.2498 0.4308 0.667
id_medid_high 0.2123 0.1551 1.369 0.1723
scale(autorytaryzm):niepewnosc_dum -0.1414 0.2329 -0.6074 0.5441
scale(autorytaryzm):id_medid_high -0.3077 0.1629 -1.889 0.06002
niepewnosc_dum:id_medid_high 0.02227 0.2948 0.07553 0.9399
scale(autorytaryzm):niepewnosc_dum:id_medid_high 0.3581 0.2813 1.273 0.2042
(Intercept) -0.21 0.123 -1.708 0.08889
Fitting linear model: scale(uczucia_bial) ~ scale(autorytaryzm) * niepewnosc_dum * id_med
Observations Residual Std. Error \(R^2\) Adjusted \(R^2\)
266 0.9728 0.07429 0.04917
  Estimate Std. Error t value Pr(>|t|)
scale(autorytaryzm) -0.05526 0.11 -0.5025 0.6158
zagrozenie_dum -0.03969 0.4505 -0.0881 0.9299
id_medid_high 0.212 0.1369 1.549 0.1227
scale(autorytaryzm):zagrozenie_dum -0.3267 0.448 -0.7293 0.4665
scale(autorytaryzm):id_medid_high -0.2567 0.139 -1.846 0.06605
zagrozenie_dum:id_medid_high 0.1218 0.5025 0.2424 0.8087
scale(autorytaryzm):zagrozenie_dum:id_medid_high 0.6271 0.4926 1.273 0.2042
(Intercept) -0.1756 0.1105 -1.589 0.1132
Fitting linear model: scale(uczucia_bial) ~ scale(autorytaryzm) * zagrozenie_dum * id_med
Observations Residual Std. Error \(R^2\) Adjusted \(R^2\)
266 0.9719 0.07612 0.05105
  Estimate Std. Error t value Pr(>|t|)
scale(autorytaryzm) 0.07089 0.1203 0.5894 0.5561
kontrola_dum -0.01471 0.3558 -0.04136 0.967
id_medid_high 0.2329 0.136 1.712 0.08804
scale(autorytaryzm):kontrola_dum -0.5583 0.2836 -1.969 0.05004
scale(autorytaryzm):id_medid_high -0.376 0.144 -2.611 0.009569
kontrola_dum:id_medid_high -0.08244 0.4477 -0.1841 0.8541
scale(autorytaryzm):kontrola_dum:id_medid_high 1.075 0.412 2.611 0.009569
(Intercept) -0.1489 0.1117 -1.334 0.1835
Fitting linear model: scale(uczucia_bial) ~ scale(autorytaryzm) * kontrola_dum * id_med
Observations Residual Std. Error \(R^2\) Adjusted \(R^2\)
266 0.9569 0.1044 0.08011
  Estimate Std. Error t value Pr(>|t|)
scale(autorytaryzm) 0.07828 0.1359 0.5761 0.5651
niepewnosc_dum 0.1584 0.2779 0.5701 0.5691
id_medid_high 0.1848 0.1556 1.188 0.236
zagrozenie_dum -0.1112 0.558 -0.1993 0.8422
kontrola_dum -0.0671 0.4511 -0.1487 0.8819
scale(autorytaryzm):niepewnosc_dum -0.05839 0.2399 -0.2434 0.8079
scale(autorytaryzm):id_medid_high -0.4637 0.1693 -2.74 0.006587
niepewnosc_dum:id_medid_high 0.0009224 0.323 0.002855 0.9977
scale(autorytaryzm):zagrozenie_dum 0.1695 0.5064 0.3347 0.7381
id_medid_high:zagrozenie_dum 0.2273 0.6075 0.3741 0.7087
scale(autorytaryzm):kontrola_dum -0.5644 0.3315 -1.703 0.08987
id_medid_high:kontrola_dum -0.1106 0.5391 -0.2051 0.8376
scale(autorytaryzm):niepewnosc_dum:id_medid_high 0.1325 0.2957 0.4482 0.6544
scale(autorytaryzm):id_medid_high:zagrozenie_dum 0.07125 0.5523 0.129 0.8974
scale(autorytaryzm):id_medid_high:kontrola_dum 1.064 0.4521 2.353 0.01939
(Intercept) -0.1762 0.1232 -1.43 0.154
Fitting linear model: scale(uczucia_bial) ~ scale(autorytaryzm) * niepewnosc_dum * id_med + scale(autorytaryzm) * zagrozenie_dum * id_med + scale(autorytaryzm) * kontrola_dum * id_med
Observations Residual Std. Error \(R^2\) Adjusted \(R^2\)
266 0.9645 0.1183 0.06541

Dystans

  Estimate Std. Error t value Pr(>|t|)
scale(autorytaryzm) 0.1445 0.1288 1.122 0.2628
niepewnosc_dum 0.109 0.2505 0.4351 0.6639
id_medid_high 0.04896 0.1555 0.3149 0.7531
scale(autorytaryzm):niepewnosc_dum 0.1964 0.2335 0.8411 0.4011
scale(autorytaryzm):id_medid_high 0.1954 0.1633 1.196 0.2327
niepewnosc_dum:id_medid_high -0.3775 0.2956 -1.277 0.2028
scale(autorytaryzm):niepewnosc_dum:id_medid_high -0.4834 0.282 -1.714 0.08772
(Intercept) 0.02585 0.1233 0.2097 0.8341
Fitting linear model: scale(dyst_bial) ~ scale(autorytaryzm) * niepewnosc_dum * id_med
Observations Residual Std. Error \(R^2\) Adjusted \(R^2\)
266 0.9753 0.07703 0.05198
  Estimate Std. Error t value Pr(>|t|)
scale(autorytaryzm) 0.1937 0.1105 1.754 0.0807
zagrozenie_dum -0.06203 0.4525 -0.1371 0.8911
id_medid_high -0.01642 0.1375 -0.1194 0.9051
scale(autorytaryzm):zagrozenie_dum 0.317 0.45 0.7045 0.4818
scale(autorytaryzm):id_medid_high 0.07027 0.1397 0.5031 0.6153
zagrozenie_dum:id_medid_high -0.4394 0.5047 -0.8706 0.3848
scale(autorytaryzm):zagrozenie_dum:id_medid_high -0.5121 0.4948 -1.035 0.3016
(Intercept) 0.05679 0.111 0.5117 0.6093
Fitting linear model: scale(dyst_bial) ~ scale(autorytaryzm) * zagrozenie_dum * id_med
Observations Residual Std. Error \(R^2\) Adjusted \(R^2\)
266 0.9762 0.07545 0.05037
  Estimate Std. Error t value Pr(>|t|)
scale(autorytaryzm) 0.1137 0.1226 0.9279 0.3543
kontrola_dum 0.07673 0.3626 0.2116 0.8326
id_medid_high -0.0774 0.1386 -0.5584 0.5771
scale(autorytaryzm):kontrola_dum 0.3485 0.289 1.206 0.2289
scale(autorytaryzm):id_medid_high 0.1491 0.1468 1.016 0.3107
kontrola_dum:id_medid_high -0.08384 0.4563 -0.1838 0.8543
scale(autorytaryzm):kontrola_dum:id_medid_high -0.8914 0.4198 -2.123 0.03469
(Intercept) 0.02762 0.1138 0.2428 0.8084
Fitting linear model: scale(dyst_bial) ~ scale(autorytaryzm) * kontrola_dum * id_med
Observations Residual Std. Error \(R^2\) Adjusted \(R^2\)
266 0.9751 0.07743 0.0524
  Estimate Std. Error t value Pr(>|t|)
scale(autorytaryzm) 0.07013 0.1365 0.5137 0.6079
niepewnosc_dum 0.1222 0.2792 0.4376 0.6621
id_medid_high 0.08615 0.1563 0.5512 0.582
zagrozenie_dum -0.2295 0.5605 -0.4094 0.6826
kontrola_dum 0.1168 0.4532 0.2577 0.7969
scale(autorytaryzm):niepewnosc_dum 0.1292 0.241 0.5361 0.5923
scale(autorytaryzm):id_medid_high 0.2977 0.17 1.751 0.08114
niepewnosc_dum:id_medid_high -0.3678 0.3245 -1.133 0.2582
scale(autorytaryzm):zagrozenie_dum 0.1166 0.5087 0.2292 0.8189
id_medid_high:zagrozenie_dum -0.2984 0.6103 -0.4889 0.6253
scale(autorytaryzm):kontrola_dum 0.297 0.333 0.8918 0.3733
id_medid_high:kontrola_dum 0.1688 0.5415 0.3117 0.7556
scale(autorytaryzm):niepewnosc_dum:id_medid_high -0.2966 0.2971 -0.9984 0.319
scale(autorytaryzm):id_medid_high:zagrozenie_dum -0.1975 0.5548 -0.356 0.7222
scale(autorytaryzm):id_medid_high:kontrola_dum -0.7549 0.4541 -1.662 0.09773
(Intercept) 0.004334 0.1238 0.03501 0.9721
Fitting linear model: scale(dyst_bial) ~ scale(autorytaryzm) * niepewnosc_dum * id_med + scale(autorytaryzm) * zagrozenie_dum * id_med + scale(autorytaryzm) * kontrola_dum * id_med
Observations Residual Std. Error \(R^2\) Adjusted \(R^2\)
266 0.9689 0.1175 0.06453