Whole Contour M_MaxW1 Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest'] Formula: MaxW1 ~ Condition + Sex + Age + (1 | Speaker) + (1 | Sentence) + Condition:Sex + Condition:Age Data: data REML criterion at convergence: 3474.6 Scaled residuals: Min 1Q Median 3Q Max -3.4336 -0.5358 -0.0251 0.5083 3.7314 Random effects: Groups Name Variance Std.Dev. Speaker (Intercept) 0.77200 0.8786 Sentence (Intercept) 0.02767 0.1663 Residual 1.62182 1.2735 Number of obs: 1027, groups: Speaker, 17; Sentence, 6 Fixed effects: Estimate Std. Error df t value Pr(>|t|) (Intercept) 4.11589 0.45262 18.48996 9.093 3e-08 *** ConditionIF 0.67422 0.24706 991.37226 2.729 0.006466 ** ConditionCT -0.63652 0.27396 1001.47420 -2.323 0.020359 * ConditionRT -1.22843 0.31939 1000.84469 -3.846 0.000128 *** ConditionBF -0.03927 0.27499 995.78680 -0.143 0.886485 SexM 0.13114 0.55702 17.12259 0.235 0.816665 Age2 1.55848 0.58297 17.29386 2.673 0.015877 * Age3 0.75672 0.63523 16.97750 1.191 0.249943 ConditionIF:SexM -0.07954 0.29820 990.20404 -0.267 0.789719 ConditionCT:SexM 0.28705 0.31159 992.96345 0.921 0.357156 ConditionRT:SexM -0.71713 0.33796 994.74294 -2.122 0.034089 * ConditionBF:SexM 0.97265 0.30193 991.33499 3.221 0.001317 ** ConditionIF:Age2 -0.82411 0.32474 992.09617 -2.538 0.011309 * ConditionCT:Age2 -0.56133 0.33894 999.11213 -1.656 0.098011 . ConditionRT:Age2 -0.74238 0.38342 998.68364 -1.936 0.053122 . ConditionBF:Age2 -1.00780 0.33930 994.24002 -2.970 0.003047 ** ConditionIF:Age3 -0.64983 0.33604 990.33144 -1.934 0.053427 . ConditionCT:Age3 -1.26603 0.35962 997.32903 -3.520 0.000450 *** ConditionRT:Age3 0.03796 0.41900 998.11744 0.091 0.927830 ConditionBF:Age3 -1.14799 0.35530 992.20187 -3.231 0.001274 ** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 $emmeans Condition emmean SE df lower.CL upper.CL CF 4.95 0.259 19.3 4.41 5.49 IF 5.10 0.256 18.4 4.56 5.63 CT 3.85 0.259 19.5 3.31 4.39 RT 3.13 0.273 23.7 2.57 3.69 BF 4.68 0.258 19.0 4.14 5.22 Results are averaged over the levels of: Sex, Age Degrees-of-freedom method: satterthwaite Confidence level used: 0.95 $contrasts contrast estimate SE df t.ratio p.value CF - IF -0.143 0.136 992 -1.050 1.0000 CF - CT 1.102 0.146 996 7.557 <.0001 CF - RT 1.822 0.168 998 10.837 <.0001 CF - BF 0.272 0.141 993 1.927 0.5428 IF - CT 1.245 0.139 994 8.985 <.0001 IF - RT 1.965 0.163 997 12.050 <.0001 IF - BF 0.415 0.134 991 3.100 0.0199 CT - RT 0.720 0.166 994 4.341 0.0002 CT - BF -0.831 0.141 993 -5.877 <.0001 RT - BF -1.550 0.165 997 -9.393 <.0001 Results are averaged over some or all of the levels of: Sex, Age P value adjustment: bonferroni method for 10 tests M_MinW3 Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest'] Formula: MinW3 ~ Condition + Age + (1 | Speaker) + Condition:Age Data: data REML criterion at convergence: 3852.6 Scaled residuals: Min 1Q Median 3Q Max -7.0424 -0.5842 -0.0084 0.5121 6.8634 Random effects: Groups Name Variance Std.Dev. Speaker (Intercept) 1.783 1.335 Residual 2.352 1.534 Number of obs: 1027, groups: Speaker, 17 Fixed effects: Estimate Std. Error df t value Pr(>|t|) (Intercept) -3.3669 0.6364 17.2143 -5.290 5.76e-05 *** ConditionIF 0.5582 0.2881 999.3484 1.937 0.0530 . ConditionCT 0.5716 0.3211 1007.4515 1.780 0.0754 . ConditionRT 0.3511 0.3819 1006.2879 0.919 0.3582 ConditionBF 0.7686 0.3215 1002.1102 2.390 0.0170 * Age2 -1.9662 0.8575 16.8882 -2.293 0.0350 * Age3 -1.6500 0.8563 16.7965 -1.927 0.0711 . ConditionIF:Age2 0.8587 0.3903 999.9529 2.200 0.0280 * ConditionCT:Age2 -0.4742 0.4073 1005.0350 -1.164 0.2446 ConditionRT:Age2 0.3506 0.4587 1004.6211 0.764 0.4448 ConditionBF:Age2 0.7468 0.4075 1001.2684 1.832 0.0672 . ConditionIF:Age3 -0.2158 0.3728 998.9738 -0.579 0.5628 ConditionCT:Age3 0.5356 0.4089 1004.9875 1.310 0.1905 ConditionRT:Age3 0.9157 0.4628 1004.4873 1.978 0.0482 * ConditionBF:Age3 0.1649 0.4009 1001.0682 0.411 0.6808 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 $emmeans Condition emmean SE df lower.CL upper.CL CF -4.57 0.344 16.7 -5.30 -3.85 IF -3.80 0.342 16.4 -4.52 -3.08 CT -3.98 0.344 16.7 -4.71 -3.25 RT -3.80 0.352 18.4 -4.54 -3.06 BF -3.50 0.344 16.8 -4.23 -2.77 Results are averaged over the levels of: Age Degrees-of-freedom method: satterthwaite Confidence level used: 0.95 $contrasts contrast estimate SE df t.ratio p.value CF - IF -0.772470 0.152 1000 -5.078 <.0001 CF - CT -0.592050 0.160 1004 -3.704 0.0022 CF - RT -0.773164 0.176 1004 -4.393 0.0001 CF - BF -1.072466 0.158 1001 -6.807 <.0001 IF - CT 0.180420 0.155 1003 1.166 1.0000 IF - RT -0.000695 0.174 1004 -0.004 1.0000 IF - BF -0.299996 0.152 999 -1.970 0.4915 CT - RT -0.181114 0.173 1000 -1.047 1.0000 CT - BF -0.480416 0.157 1002 -3.051 0.0234 RT - BF -0.299302 0.176 1004 -1.697 0.9009 Results are averaged over some or all of the levels of: Age P value adjustment: bonferroni method for 10 tests M_RangeU Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest'] Formula: RangeU ~ Condition + Age + (1 | Speaker) + Condition:Age Data: data REML criterion at convergence: 4208.2 Scaled residuals: Min 1Q Median 3Q Max -6.0589 -0.5087 -0.0281 0.5222 6.0695 Random effects: Groups Name Variance Std.Dev. Speaker (Intercept) 4.339 2.083 Residual 3.317 1.821 Number of obs: 1027, groups: Speaker, 17 Fixed effects: Estimate Std. Error df t value Pr(>|t|) (Intercept) 7.51220 0.96761 15.84282 7.764 8.71e-07 *** ConditionIF 0.07545 0.34226 998.79689 0.220 0.825556 ConditionCT -1.15740 0.38184 1004.28098 -3.031 0.002499 ** ConditionRT -1.58315 0.45407 1003.40972 -3.487 0.000510 *** ConditionBF -0.61090 0.38202 1000.50410 -1.599 0.110113 Age2 3.52136 1.30616 15.65434 2.696 0.016130 * Age3 2.46873 1.30506 15.60221 1.892 0.077249 . ConditionIF:Age2 -1.68012 0.46363 999.16141 -3.624 0.000305 *** ConditionCT:Age2 -0.11729 0.48414 1002.49846 -0.242 0.808622 ConditionRT:Age2 -1.21138 0.54518 1002.21586 -2.222 0.026507 * ConditionBF:Age2 -1.81392 0.48418 999.97135 -3.746 0.000190 *** ConditionIF:Age3 -0.45113 0.44282 998.57057 -1.019 0.308568 ConditionCT:Age3 -1.67902 0.48600 1002.46419 -3.455 0.000574 *** ConditionRT:Age3 -1.23877 0.55011 1002.12450 -2.252 0.024548 * ConditionBF:Age3 -0.88589 0.47629 999.84747 -1.860 0.063180 . --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 $emmeans Condition emmean SE df lower.CL upper.CL CF 9.51 0.524 15.6 8.40 10.62 IF 8.87 0.523 15.4 7.76 9.99 CT 7.75 0.524 15.6 6.64 8.87 RT 7.11 0.532 16.5 5.98 8.23 BF 8.00 0.525 15.6 6.88 9.11 Results are averaged over the levels of: Age Degrees-of-freedom method: satterthwaite Confidence level used: 0.95 $contrasts contrast estimate SE df t.ratio p.value CF - IF 0.635 0.181 999 3.514 0.0046 CF - CT 1.756 0.190 1002 9.245 <.0001 CF - RT 2.400 0.209 1001 11.475 <.0001 CF - BF 1.511 0.187 1000 8.071 <.0001 IF - CT 1.121 0.184 1001 6.099 <.0001 IF - RT 1.765 0.206 1002 8.555 <.0001 IF - BF 0.876 0.181 999 4.842 <.0001 CT - RT 0.644 0.206 999 3.132 0.0179 CT - BF -0.245 0.187 1000 -1.311 1.0000 RT - BF -0.889 0.210 1002 -4.240 0.0002 Results are averaged over some or all of the levels of: Age P value adjustment: bonferroni method for 10 tests M_DurU Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest'] Formula: DurU ~ Condition + Sex + Age + (1 | Speaker) + (1 | Sentence) + Condition:Age Data: data REML criterion at convergence: -2021.6 Scaled residuals: Min 1Q Median 3Q Max -2.7602 -0.6041 -0.0713 0.5716 14.9917 Random effects: Groups Name Variance Std.Dev. Speaker (Intercept) 0.009043 0.09510 Sentence (Intercept) 0.002714 0.05210 Residual 0.006870 0.08289 Number of obs: 1027, groups: Speaker, 17; Sentence, 6 Fixed effects: Estimate Std. Error df t value Pr(>|t|) (Intercept) 1.329e+00 5.027e-02 1.873e+01 26.426 2.74e-16 *** ConditionIF 3.135e-02 1.558e-02 9.936e+02 2.012 0.044500 * ConditionCT 5.186e-02 1.739e-02 9.991e+02 2.983 0.002927 ** ConditionRT 7.983e-02 2.069e-02 9.981e+02 3.858 0.000122 *** ConditionBF 6.918e-02 1.739e-02 9.953e+02 3.977 7.48e-05 *** SexM -1.949e-01 5.559e-02 1.283e+01 -3.505 0.003949 ** Age2 -7.719e-03 5.965e-02 1.434e+01 -0.129 0.898837 Age3 8.257e-02 6.495e-02 1.402e+01 1.271 0.224361 ConditionIF:Age2 -3.071e-02 2.110e-02 9.940e+02 -1.455 0.145974 ConditionCT:Age2 -4.437e-02 2.204e-02 9.973e+02 -2.013 0.044404 * ConditionRT:Age2 -8.792e-02 2.483e-02 9.969e+02 -3.541 0.000418 *** ConditionBF:Age2 -9.312e-02 2.204e-02 9.948e+02 -4.225 2.61e-05 *** ConditionIF:Age3 2.729e-02 2.016e-02 9.934e+02 1.354 0.176090 ConditionCT:Age3 3.272e-02 2.213e-02 9.973e+02 1.478 0.139657 ConditionRT:Age3 5.586e-04 2.506e-02 9.970e+02 0.022 0.982224 ConditionBF:Age3 1.373e-02 2.168e-02 9.947e+02 0.633 0.526573 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 $emmeans Condition emmean SE df lower.CL upper.CL CF 1.26 0.0332 16.8 1.19 1.33 IF 1.29 0.0331 16.7 1.22 1.36 CT 1.30 0.0332 16.8 1.23 1.37 RT 1.31 0.0334 17.4 1.24 1.38 BF 1.30 0.0332 16.8 1.23 1.37 Results are averaged over the levels of: Sex, Age Degrees-of-freedom method: satterthwaite Confidence level used: 0.95 $contrasts contrast estimate SE df t.ratio p.value CF - IF -0.03021 0.00823 994 -3.672 0.0025 CF - CT -0.04798 0.00865 996 -5.548 <.0001 CF - RT -0.05071 0.00953 996 -5.322 <.0001 CF - BF -0.04272 0.00853 994 -5.010 <.0001 IF - CT -0.01777 0.00837 996 -2.123 0.3401 IF - RT -0.02050 0.00940 996 -2.182 0.2938 IF - BF -0.01250 0.00823 993 -1.519 1.0000 CT - RT -0.00273 0.00936 994 -0.292 1.0000 CT - BF 0.00526 0.00852 995 0.618 1.0000 RT - BF 0.00799 0.00955 996 0.837 1.0000 Results are averaged over some or all of the levels of: Sex, Age P value adjustment: bonferroni method for 10 tests Initial Downstep M_MaxW1-MaxS2 Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest'] Formula: MaxW1-MaxS2 ~ Condition + Sex + Age + (1 | Speaker) + (1 | Sentence) + Condition:Sex + Condition:Age Data: data REML criterion at convergence: 3637.5 Scaled residuals: Min 1Q Median 3Q Max -3.5703 -0.5570 0.0101 0.5737 4.0092 Random effects: Groups Name Variance Std.Dev. Speaker (Intercept) 0.8069 0.8983 Sentence (Intercept) 0.1153 0.3395 Residual 1.9127 1.3830 Number of obs: 1025, groups: Speaker, 17; Sentence, 6 Fixed effects: Estimate Std. Error df t value Pr(>|t|) (Intercept) 4.85501 0.48293 20.81887 10.053 1.93e-09 *** ConditionIF 0.08255 0.26830 989.26677 0.308 0.75838 ConditionCT -2.26399 0.29740 999.69862 -7.613 6.20e-14 *** ConditionRT -2.24443 0.34678 998.65239 -6.472 1.51e-10 *** ConditionBF -2.15655 0.29858 994.02019 -7.223 1.01e-12 *** SexM 1.59015 0.57533 17.49454 2.764 0.01303 * Age2 3.14614 0.60228 17.67730 5.224 6.07e-05 *** Age3 -1.22129 0.65596 17.32575 -1.862 0.07968 . ConditionIF:SexM -0.28831 0.32387 987.70099 -0.890 0.37357 ConditionCT:SexM -0.85702 0.33920 989.99592 -2.527 0.01167 * ConditionRT:SexM -1.54744 0.36705 992.34796 -4.216 2.71e-05 *** ConditionBF:SexM -1.03459 0.32794 988.77648 -3.155 0.00165 ** ConditionIF:Age2 -2.80275 0.35264 990.20133 -7.948 5.14e-15 *** ConditionCT:Age2 -3.23053 0.36797 997.45227 -8.779 < 2e-16 *** ConditionRT:Age2 -3.28835 0.41630 996.79131 -7.899 7.40e-15 *** ConditionBF:Age2 -3.03182 0.36843 992.47993 -8.229 5.88e-16 *** ConditionIF:Age3 -0.56808 0.36494 988.09160 -1.557 0.11988 ConditionCT:Age3 -0.22757 0.39088 995.13094 -0.582 0.56056 ConditionRT:Age3 0.07431 0.45493 996.30327 0.163 0.87029 ConditionBF:Age3 0.60606 0.38583 990.29429 1.571 0.11655 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 $emmeans Condition emmean SE df lower.CL upper.CL CF 6.29 0.293 21.6 5.68 6.90 IF 5.11 0.290 20.7 4.50 5.71 CT 2.45 0.294 21.9 1.84 3.06 RT 2.20 0.307 26.1 1.57 2.83 BF 2.81 0.292 21.3 2.20 3.42 Results are averaged over the levels of: Sex, Age Degrees-of-freedom method: satterthwaite Confidence level used: 0.95 $contrasts contrast estimate SE df t.ratio p.value CF - IF 1.185 0.148 989 8.003 <.0001 CF - CT 3.845 0.159 994 24.206 <.0001 CF - RT 4.089 0.183 996 22.402 <.0001 CF - BF 3.482 0.153 991 22.752 <.0001 IF - CT 2.660 0.151 992 17.610 <.0001 IF - RT 2.904 0.177 996 16.404 <.0001 IF - BF 2.297 0.145 988 15.814 <.0001 CT - RT 0.244 0.181 992 1.353 1.0000 CT - BF -0.363 0.154 991 -2.354 0.1876 RT - BF -0.607 0.179 995 -3.388 0.0073 Results are averaged over some or all of the levels of: Sex, Age P value adjustment: bonferroni method for 10 tests M_IntW1-IntW2 Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest'] Formula: IntW1-IntW2 ~ Condition + (1 | Speaker) + (1 | Sentence) Data: data_int REML criterion at convergence: -2417.9 Scaled residuals: Min 1Q Median 3Q Max -4.2148 -0.6343 -0.0070 0.6332 3.4634 Random effects: Groups Name Variance Std.Dev. Speaker (Intercept) 0.0004937 0.02222 Sentence (Intercept) 0.0019149 0.04376 Residual 0.0023152 0.04812 Number of obs: 778, groups: Speaker, 13; Sentence, 6 Fixed effects: Estimate Std. Error df t value Pr(>|t|) (Intercept) 0.074314 0.019333 6.690693 3.844 0.00692 ** ConditionIF -0.031675 0.005387 758.313443 -5.880 6.16e-09 *** ConditionCT -0.081440 0.005610 764.485939 -14.517 < 2e-16 *** ConditionRT -0.073224 0.006082 764.838827 -12.040 < 2e-16 *** ConditionBF -0.064510 0.005611 762.484496 -11.497 < 2e-16 *** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 $emmeans Condition emmean SE df lower.CL upper.CL CF 0.07431 0.0193 6.69 0.02817 0.1205 IF 0.04264 0.0193 6.58 -0.00348 0.0888 CT -0.00713 0.0193 6.62 -0.05326 0.0390 RT 0.00109 0.0194 6.82 -0.04509 0.0473 BF 0.00980 0.0193 6.64 -0.03633 0.0559 Degrees-of-freedom method: satterthwaite Confidence level used: 0.95 $contrasts contrast estimate SE df t.ratio p.value CF - IF 0.03168 0.00539 758 5.880 <.0001 CF - CT 0.08144 0.00561 764 14.517 <.0001 CF - RT 0.07322 0.00608 765 12.040 <.0001 CF - BF 0.06451 0.00561 762 11.497 <.0001 IF - CT 0.04977 0.00528 763 9.426 <.0001 IF - RT 0.04155 0.00579 764 7.171 <.0001 IF - BF 0.03284 0.00526 759 6.237 <.0001 CT - RT -0.00822 0.00578 759 -1.420 1.0000 CT - BF -0.01693 0.00537 761 -3.153 0.0168 RT - BF -0.00871 0.00585 762 -1.489 1.0000 P value adjustment: bonferroni method for 10 tests Post-focus compression M_MaxS2-MinW3 Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest'] Formula: MaxS2-MinW3 ~ Condition + Sex + Age + (1 | Speaker) + (1 | Sentence) + Condition:Sex + Condition:Age Data: data REML criterion at convergence: 4020.9 Scaled residuals: Min 1Q Median 3Q Max -3.5822 -0.5326 -0.0398 0.5229 5.8865 Random effects: Groups Name Variance Std.Dev. Speaker (Intercept) 3.1477 1.7742 Sentence (Intercept) 0.1141 0.3377 Residual 2.7710 1.6646 Number of obs: 1025, groups: Speaker, 17; Sentence, 6 Fixed effects: Estimate Std. Error df t value Pr(>|t|) (Intercept) 2.75185 0.86713 15.71812 3.174 0.006003 ** ConditionIF 0.05443 0.32305 988.10567 0.168 0.866233 ConditionCT 1.15028 0.35918 994.43033 3.202 0.001406 ** ConditionRT 0.72181 0.41847 993.48674 1.725 0.084860 . ConditionBF 1.47306 0.35985 990.26959 4.094 4.59e-05 *** SexM -2.16400 1.07080 14.70871 -2.021 0.061879 . Age2 0.37992 1.11902 14.79015 0.340 0.738997 Age3 3.98137 1.22247 14.65685 3.257 0.005446 ** ConditionIF:SexM 0.12977 0.38985 987.59110 0.333 0.739295 ConditionCT:SexM 0.79589 0.40841 988.87956 1.949 0.051608 . ConditionRT:SexM 0.74281 0.44216 989.71554 1.680 0.093276 . ConditionBF:SexM 1.47817 0.39480 988.11627 3.744 0.000192 *** ConditionIF:Age2 1.10507 0.42467 988.43196 2.602 0.009403 ** ConditionCT:Age2 3.09850 0.44390 992.37112 6.980 5.39e-12 *** ConditionRT:Age2 2.14533 0.50207 992.03236 4.273 2.11e-05 *** ConditionBF:Age2 1.23424 0.44388 989.46808 2.781 0.005529 ** ConditionIF:Age3 0.16310 0.43933 987.63172 0.371 0.710531 ConditionCT:Age3 -1.49728 0.47117 991.22390 -3.178 0.001530 ** ConditionRT:Age3 -0.94743 0.54859 991.69379 -1.727 0.084471 . ConditionBF:Age3 -1.70000 0.46466 988.48366 -3.659 0.000267 *** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 $emmeans Condition emmean SE df lower.CL upper.CL CF 3.12 0.499 16.9 2.07 4.18 IF 3.67 0.496 16.5 2.62 4.71 CT 5.21 0.500 17.0 4.15 6.26 RT 4.62 0.511 18.6 3.54 5.69 BF 5.18 0.498 16.8 4.13 6.23 Results are averaged over the levels of: Sex, Age Degrees-of-freedom method: satterthwaite Confidence level used: 0.95 $contrasts contrast estimate SE df t.ratio p.value CF - IF -0.5420 0.178 988 -3.040 0.0243 CF - CT -2.0820 0.191 990 -10.876 <.0001 CF - RT -1.4925 0.220 991 -6.781 <.0001 CF - BF -2.0569 0.184 989 -11.159 <.0001 IF - CT -1.5399 0.182 990 -8.462 <.0001 IF - RT -0.9505 0.213 991 -4.452 0.0001 IF - BF -1.5149 0.175 988 -8.662 <.0001 CT - RT 0.5894 0.218 989 2.709 0.0686 CT - BF 0.0251 0.186 989 0.135 1.0000 RT - BF -0.5644 0.216 991 -2.612 0.0913 Results are averaged over some or all of the levels of: Sex, Age P value adjustment: bonferroni method for 10 tests M_IntW2-IntW3 Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest'] Formula: IntW2-IntW3 ~ Condition + (1 | Speaker) + (1 | Sentence) Data: data_int REML criterion at convergence: -1674.3 Scaled residuals: Min 1Q Median 3Q Max -2.2508 -0.4818 -0.0524 0.4056 18.9160 Random effects: Groups Name Variance Std.Dev. Speaker (Intercept) 0.001091 0.03303 Sentence (Intercept) 0.006931 0.08325 Residual 0.006024 0.07762 Number of obs: 776, groups: Speaker, 13; Sentence, 6 Fixed effects: Estimate Std. Error df t value Pr(>|t|) (Intercept) 0.119838 0.035810 6.062540 3.346 0.0152 * ConditionIF -0.018744 0.008690 756.128604 -2.157 0.0313 * ConditionCT -0.039867 0.009045 763.110043 -4.407 1.20e-05 *** ConditionRT -0.047744 0.009807 763.551611 -4.869 1.37e-06 *** ConditionBF -0.054758 0.009068 760.845396 -6.039 2.43e-09 *** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 $emmeans Condition emmean SE df lower.CL upper.CL CF 0.1198 0.0358 6.06 0.03243 0.207 IF 0.1011 0.0357 5.99 0.01370 0.188 CT 0.0800 0.0357 6.01 -0.00743 0.167 RT 0.0721 0.0359 6.15 -0.01533 0.160 BF 0.0651 0.0358 6.03 -0.02232 0.152 Degrees-of-freedom method: satterthwaite Confidence level used: 0.95 $contrasts contrast estimate SE df t.ratio p.value CF - IF 0.01874 0.00869 756 2.157 0.3132 CF - CT 0.03987 0.00905 763 4.407 0.0001 CF - RT 0.04774 0.00981 764 4.869 <.0001 CF - BF 0.05476 0.00907 761 6.039 <.0001 IF - CT 0.02112 0.00851 761 2.481 0.1331 IF - RT 0.02900 0.00934 763 3.104 0.0198 IF - BF 0.03601 0.00851 757 4.230 0.0003 CT - RT 0.00788 0.00933 757 0.844 1.0000 CT - BF 0.01489 0.00869 759 1.714 0.8686 RT - BF 0.00701 0.00947 760 0.741 1.0000 P value adjustment: bonferroni method for 10 tests M_DurVP/DurU Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest'] Formula: DurVP.DurU ~ Condition + Sex + (1 | Speaker) + (1 | Sentence) + Condition:Sex Data: data REML criterion at convergence: -4848.2 Scaled residuals: Min 1Q Median 3Q Max -4.1084 -0.6057 0.0328 0.6159 6.1548 Random effects: Groups Name Variance Std.Dev. Speaker (Intercept) 0.0002904 0.01704 Sentence (Intercept) 0.0007542 0.02746 Residual 0.0004388 0.02095 Number of obs: 1027, groups: Speaker, 17; Sentence, 6 Fixed effects: Estimate Std. Error df t value Pr(>|t|) (Intercept) 6.883e-01 1.247e-02 7.482e+00 55.199 4.83e-11 *** ConditionIF 1.737e-03 2.564e-03 9.988e+02 0.677 0.4984 ConditionCT 2.735e-02 2.575e-03 1.002e+03 10.620 < 2e-16 *** ConditionRT 2.056e-02 2.660e-03 1.000e+03 7.728 2.66e-14 *** ConditionBF 1.546e-02 2.587e-03 9.996e+02 5.975 3.19e-09 *** SexM -1.625e-02 9.216e-03 1.788e+01 -1.764 0.0949 . ConditionIF:SexM 3.861e-03 4.277e-03 9.978e+02 0.903 0.3669 ConditionCT:SexM 1.804e-02 4.567e-03 1.000e+03 3.951 8.34e-05 *** ConditionRT:SexM 1.139e-02 4.897e-03 1.001e+03 2.325 0.0203 * ConditionBF:SexM 7.485e-03 4.355e-03 9.987e+02 1.719 0.0860 . --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 $emmeans Condition emmean SE df lower.CL upper.CL CF 0.680 0.0121 6.73 0.651 0.709 IF 0.684 0.0121 6.70 0.655 0.713 CT 0.717 0.0121 6.74 0.688 0.745 RT 0.706 0.0122 6.81 0.678 0.735 BF 0.699 0.0121 6.71 0.671 0.728 Results are averaged over the levels of: Sex Degrees-of-freedom method: satterthwaite Confidence level used: 0.95 $contrasts contrast estimate SE df t.ratio p.value CF - IF -0.00367 0.00214 998 -1.715 0.8674 CF - CT -0.03637 0.00228 1000 -15.939 <.0001 CF - RT -0.02625 0.00245 1000 -10.733 <.0001 CF - BF -0.01920 0.00218 999 -8.820 <.0001 IF - CT -0.03270 0.00217 999 -15.090 <.0001 IF - RT -0.02258 0.00235 1000 -9.608 <.0001 IF - BF -0.01554 0.00207 998 -7.511 <.0001 CT - RT 0.01012 0.00241 998 4.191 0.0003 CT - BF 0.01717 0.00218 998 7.877 <.0001 RT - BF 0.00705 0.00234 999 3.010 0.0268 Results are averaged over some or all of the levels of: Sex P value adjustment: bonferroni method for 10 tests M_IntW3 Linear mixed model fit by REML. t-tests use Satterthwaite's method ['lmerModLmerTest'] Formula: IntW3 ~ Condition + (1 | Speaker) + (1 | Sentence) Data: data REML criterion at convergence: -3032.9 Scaled residuals: Min 1Q Median 3Q Max -18.4966 -0.4547 0.0728 0.4703 10.3614 Random effects: Groups Name Variance Std.Dev. Speaker (Intercept) 0.0006246 0.02499 Sentence (Intercept) 0.0020465 0.04524 Residual 0.0027163 0.05212 Number of obs: 1023, groups: Speaker, 17; Sentence, 6 Fixed effects: Estimate Std. Error df t value Pr(>|t|) (Intercept) 8.981e-01 1.979e-02 6.466e+00 45.375 2.42e-09 *** ConditionIF 1.596e-02 5.101e-03 1.001e+03 3.129 0.0018 ** ConditionCT 5.262e-02 5.277e-03 1.007e+03 9.971 < 2e-16 *** ConditionRT 5.714e-02 5.545e-03 1.006e+03 10.305 < 2e-16 *** ConditionBF 5.414e-02 5.176e-03 1.003e+03 10.459 < 2e-16 *** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 $emmeans Condition emmean SE df lower.CL upper.CL CF 0.898 0.0198 6.47 0.850 0.946 IF 0.914 0.0198 6.43 0.866 0.962 CT 0.951 0.0198 6.46 0.903 0.998 RT 0.955 0.0199 6.57 0.908 1.003 BF 0.952 0.0198 6.45 0.905 1.000 Degrees-of-freedom method: satterthwaite Confidence level used: 0.95 $contrasts contrast estimate SE df t.ratio p.value CF - IF -0.01596 0.00510 1001 -3.129 0.0180 CF - CT -0.05262 0.00528 1007 -9.971 <.0001 CF - RT -0.05714 0.00555 1006 -10.305 <.0001 CF - BF -0.05414 0.00518 1003 -10.459 <.0001 IF - CT -0.03665 0.00512 1005 -7.165 <.0001 IF - RT -0.04118 0.00544 1006 -7.571 <.0001 IF - BF -0.03817 0.00502 1000 -7.608 <.0001 CT - RT -0.00453 0.00544 1001 -0.833 1.0000 CT - BF -0.00152 0.00512 1003 -0.297 1.0000 RT - BF 0.00300 0.00541 1003 0.555 1.0000 P value adjustment: bonferroni method for 10 tests