Model Info | |||
---|---|---|---|
Info | |||
Estimate | Linear mixed model fit by REML | ||
Call | Likelihood estimate ~ 1 + Warmth + Competence + Valence + Cognitive empathy + Emotional empathy + Warmth:Competence + Warmth:Valence + Competence:Valence + Warmth:Cognitive empathy + Competence:Cognitive empathy + Valence:Cognitive empathy + Warmth:Emotional empathy + Competence:Emotional empathy + Valence:Emotional empathy + Warmth:Competence:Valence + Warmth:Competence:Cognitive empathy + Warmth:Valence:Cognitive empathy + Competence:Valence:Cognitive empathy + Warmth:Competence:Emotional empathy + Warmth:Valence:Emotional empathy + Competence:Valence:Emotional empathy + Warmth:Competence:Valence:Cognitive empathy + Warmth:Competence:Valence:Emotional empathy+( 1 | Subject_ID )+( 1 | Trial_ID ) | ||
AIC | 105202.335 | ||
BIC | 105452.552 | ||
LogLikel. | 105200.354 | ||
R-squared Marginal | 0.134 | ||
R-squared Conditional | 0.303 | ||
Converged | yes | ||
Optimizer | bobyqa | ||
[3] |
Fixed Effect Omnibus tests | |||||||||
---|---|---|---|---|---|---|---|---|---|
F | Num df | Den df | p | ||||||
Warmth | 307.878 | 1 | 11287.3 | < .001 | |||||
Competence | 196.894 | 1 | 11260.1 | < .001 | |||||
Valence | 0.524 | 1 | 30.0 | 0.475 | |||||
Cognitive empathy | 11.376 | 1 | 11255.2 | < .001 | |||||
Emotional empathy | 26.212 | 1 | 10993.2 | < .001 | |||||
Warmth ✻ Competence | 73.106 | 1 | 11254.3 | < .001 | |||||
Warmth ✻ Valence | 414.939 | 1 | 11262.0 | < .001 | |||||
Competence ✻ Valence | 194.428 | 1 | 11253.1 | < .001 | |||||
Warmth ✻ Cognitive empathy | 32.569 | 1 | 11279.1 | < .001 | |||||
Competence ✻ Cognitive empathy | 9.685 | 1 | 11273.1 | 0.002 | |||||
Valence ✻ Cognitive empathy | 73.661 | 1 | 11295.0 | < .001 | |||||
Warmth ✻ Emotional empathy | 1.060 | 1 | 11309.1 | 0.303 | |||||
Competence ✻ Emotional empathy | 4.949 | 1 | 11281.5 | 0.026 | |||||
Valence ✻ Emotional empathy | 3.242 | 1 | 11313.9 | 0.072 | |||||
Warmth ✻ Competence ✻ Valence | 213.191 | 1 | 11255.8 | < .001 | |||||
Warmth ✻ Competence ✻ Cognitive empathy | 52.372 | 1 | 11277.1 | < .001 | |||||
Warmth ✻ Valence ✻ Cognitive empathy | 5.706 | 1 | 11271.3 | 0.017 | |||||
Competence ✻ Valence ✻ Cognitive empathy | 15.680 | 1 | 11263.2 | < .001 | |||||
Warmth ✻ Competence ✻ Emotional empathy | 20.368 | 1 | 11272.6 | < .001 | |||||
Warmth ✻ Valence ✻ Emotional empathy | 28.668 | 1 | 11265.2 | < .001 | |||||
Competence ✻ Valence ✻ Emotional empathy | 2.038 | 1 | 11263.3 | 0.153 | |||||
Warmth ✻ Competence ✻ Valence ✻ Cognitive empathy | 0.818 | 1 | 11273.8 | 0.366 | |||||
Warmth ✻ Competence ✻ Valence ✻ Emotional empathy | 3.894 | 1 | 11263.8 | 0.048 | |||||
Note. Satterthwaite method for degrees of freedom | |||||||||
Fixed Effects Parameter Estimates | |||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
95% Confidence Interval | |||||||||||||||||
Names | Effect | Estimate | SE | Lower | Upper | df | t | p | |||||||||
(Intercept) | (Intercept) | 54.8448 | 1.8151 | 51.28731 | 58.4023 | 45.3 | 30.216 | < .001 | |||||||||
Warmth1 | Warm - Cold | 8.3088 | 0.4735 | 7.38071 | 9.2369 | 11287.3 | 17.546 | < .001 | |||||||||
Competence1 | Incompetent - Competent | -6.5968 | 0.4701 | -7.51828 | -5.6754 | 11260.1 | -14.032 | < .001 | |||||||||
Valence1 | Positive - Negative | 2.3583 | 3.2567 | -4.02465 | 8.7413 | 30.0 | 0.724 | 0.475 | |||||||||
Cognitive empathy | Cognitive empathy | 0.0703 | 0.0208 | 0.02945 | 0.1111 | 11255.2 | 3.373 | < .001 | |||||||||
Emotional empathy | Emotional empathy | 0.1127 | 0.0220 | 0.06957 | 0.1559 | 10993.2 | 5.120 | < .001 | |||||||||
Warmth1 ✻ Competence1 | Warm - Cold ✻ Incompetent - Competent | -8.0303 | 0.9392 | -9.87114 | -6.1896 | 11254.3 | -8.550 | < .001 | |||||||||
Warmth1 ✻ Valence1 | Warm - Cold ✻ Positive - Negative | 19.1879 | 0.9420 | 17.34164 | 21.0341 | 11262.0 | 20.370 | < .001 | |||||||||
Competence1 ✻ Valence1 | Incompetent - Competent ✻ Positive - Negative | -13.0919 | 0.9389 | -14.93210 | -11.2516 | 11253.1 | -13.944 | < .001 | |||||||||
Warmth1 ✻ Cognitive empathy | Warm - Cold ✻ Cognitive empathy | -0.2022 | 0.0354 | -0.27159 | -0.1327 | 11279.1 | -5.707 | < .001 | |||||||||
Competence1 ✻ Cognitive empathy | Incompetent - Competent ✻ Cognitive empathy | 0.1102 | 0.0354 | 0.04079 | 0.1796 | 11273.1 | 3.112 | 0.002 | |||||||||
Valence1 ✻ Cognitive empathy | Positive - Negative ✻ Cognitive empathy | 0.3315 | 0.0386 | 0.25580 | 0.4072 | 11295.0 | 8.583 | < .001 | |||||||||
Warmth1 ✻ Emotional empathy | Warm - Cold ✻ Emotional empathy | 0.0396 | 0.0384 | -0.03576 | 0.1149 | 11309.1 | 1.029 | 0.303 | |||||||||
Competence1 ✻ Emotional empathy | Incompetent - Competent ✻ Emotional empathy | -0.0846 | 0.0380 | -0.15909 | -0.0101 | 11281.5 | -2.225 | 0.026 | |||||||||
Valence1 ✻ Emotional empathy | Positive - Negative ✻ Emotional empathy | 0.0705 | 0.0392 | -0.00625 | 0.1473 | 11313.9 | 1.800 | 0.072 | |||||||||
Warmth1 ✻ Competence1 ✻ Valence1 | Warm - Cold ✻ Incompetent - Competent ✻ Positive - Negative | 27.4320 | 1.8788 | 23.74969 | 31.1143 | 11255.8 | 14.601 | < .001 | |||||||||
Warmth1 ✻ Competence1 ✻ Cognitive empathy | Warm - Cold ✻ Incompetent - Competent ✻ Cognitive empathy | 0.5154 | 0.0712 | 0.37580 | 0.6550 | 11277.1 | 7.237 | < .001 | |||||||||
Warmth1 ✻ Valence1 ✻ Cognitive empathy | Warm - Cold ✻ Positive - Negative ✻ Cognitive empathy | -0.1689 | 0.0707 | -0.30741 | -0.0303 | 11271.3 | -2.389 | 0.017 | |||||||||
Competence1 ✻ Valence1 ✻ Cognitive empathy | Incompetent - Competent ✻ Positive - Negative ✻ Cognitive empathy | -0.2796 | 0.0706 | -0.41792 | -0.1412 | 11263.2 | -3.960 | < .001 | |||||||||
Warmth1 ✻ Competence1 ✻ Emotional empathy | Warm - Cold ✻ Incompetent - Competent ✻ Emotional empathy | -0.3423 | 0.0758 | -0.49090 | -0.1936 | 11272.6 | -4.513 | < .001 | |||||||||
Warmth1 ✻ Valence1 ✻ Emotional empathy | Warm - Cold ✻ Positive - Negative ✻ Emotional empathy | 0.4052 | 0.0757 | 0.25686 | 0.5535 | 11265.2 | 5.354 | < .001 | |||||||||
Competence1 ✻ Valence1 ✻ Emotional empathy | Incompetent - Competent ✻ Positive - Negative ✻ Emotional empathy | 0.1079 | 0.0756 | -0.04024 | 0.2561 | 11263.3 | 1.428 | 0.153 | |||||||||
Warmth1 ✻ Competence1 ✻ Valence1 ✻ Cognitive empathy | Warm - Cold ✻ Incompetent - Competent ✻ Positive - Negative ✻ Cognitive empathy | 0.1288 | 0.1423 | -0.15019 | 0.4077 | 11273.8 | 0.905 | 0.366 | |||||||||
Warmth1 ✻ Competence1 ✻ Valence1 ✻ Emotional empathy | Warm - Cold ✻ Incompetent - Competent ✻ Positive - Negative ✻ Emotional empathy | 0.2985 | 0.1513 | 0.00201 | 0.5949 | 11263.8 | 1.973 | 0.048 | |||||||||
Random Components | |||||||||
---|---|---|---|---|---|---|---|---|---|
Groups | Name | SD | Variance | ICC | |||||
Subject_ID | (Intercept) | 7.56 | 57.2 | 0.0898 | |||||
Trial_ID | (Intercept) | 9.12 | 83.1 | 0.1253 | |||||
Residual | 24.08 | 580.0 | |||||||
Note. Number of Obs: 11392 , groups: Subject_ID 89, Trial_ID 32 | |||||||||
Warmth | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
95% Confidence Interval | |||||||||||
Warmth | Mean | SE | df | Lower | Upper | ||||||
Cold | 50.7 | 1.83 | 46.9 | 47.0 | 54.4 | ||||||
Warm | 59.0 | 1.83 | 46.8 | 55.3 | 62.7 | ||||||
Competence | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
95% Confidence Interval | |||||||||||
Competence | Mean | SE | df | Lower | Upper | ||||||
Competent | 58.1 | 1.83 | 46.9 | 54.5 | 61.8 | ||||||
Incompetent | 51.5 | 1.83 | 46.7 | 47.9 | 55.2 | ||||||
Valence | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
95% Confidence Interval | |||||||||||
Valence | Mean | SE | df | Lower | Upper | ||||||
Negative | 53.7 | 2.44 | 37.5 | 48.7 | 58.6 | ||||||
Positive | 56.0 | 2.44 | 37.6 | 51.1 | 61.0 | ||||||
Competence:Warmth | |||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
95% Confidence Interval | |||||||||||||
Competence | Warmth | Mean | SE | df | Lower | Upper | |||||||
Competent | Cold | 52.0 | 1.87 | 50.5 | 48.2 | 55.7 | |||||||
Incompetent | Cold | 49.4 | 1.86 | 49.6 | 45.7 | 53.1 | |||||||
Competent | Warm | 64.3 | 1.86 | 49.9 | 60.6 | 68.0 | |||||||
Incompetent | Warm | 53.7 | 1.86 | 50.0 | 50.0 | 57.4 | |||||||
Valence:Warmth | |||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
95% Confidence Interval | |||||||||||||
Valence | Warmth | Mean | SE | df | Lower | Upper | |||||||
Negative | Cold | 54.3 | 2.46 | 38.9 | 49.3 | 59.3 | |||||||
Positive | Cold | 47.1 | 2.46 | 39.1 | 42.1 | 52.1 | |||||||
Negative | Warm | 53.0 | 2.46 | 38.9 | 48.0 | 58.0 | |||||||
Positive | Warm | 65.0 | 2.46 | 39.0 | 60.0 | 70.0 | |||||||
Competence:Valence | |||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
95% Confidence Interval | |||||||||||||
Competence | Valence | Mean | SE | df | Lower | Upper | |||||||
Competent | Negative | 53.7 | 2.46 | 38.9 | 48.7 | 58.7 | |||||||
Incompetent | Negative | 53.6 | 2.46 | 38.8 | 48.7 | 58.6 | |||||||
Competent | Positive | 62.6 | 2.46 | 39.2 | 57.6 | 67.6 | |||||||
Incompetent | Positive | 49.5 | 2.46 | 38.9 | 44.5 | 54.4 | |||||||
Competence:Valence:Warmth | |||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
95% Confidence Interval | |||||||||||||||
Competence | Valence | Warmth | Mean | SE | df | Lower | Upper | ||||||||
Competent | Negative | Cold | 48.9 | 2.51 | 41.9 | 43.8 | 54.0 | ||||||||
Incompetent | Negative | Cold | 59.7 | 2.50 | 41.5 | 54.7 | 64.8 | ||||||||
Competent | Positive | Cold | 55.1 | 2.52 | 42.7 | 50.0 | 60.1 | ||||||||
Incompetent | Positive | Cold | 39.1 | 2.50 | 41.5 | 34.0 | 44.1 | ||||||||
Competent | Negative | Warm | 58.5 | 2.50 | 41.5 | 53.4 | 63.5 | ||||||||
Incompetent | Negative | Warm | 47.6 | 2.50 | 41.7 | 42.5 | 52.6 | ||||||||
Competent | Positive | Warm | 70.1 | 2.51 | 41.9 | 65.1 | 75.2 | ||||||||
Incompetent | Positive | Warm | 59.8 | 2.51 | 41.9 | 54.8 | 64.9 | ||||||||
[1] The jamovi project (2020). jamovi. (Version 1.2) [Computer Software]. Retrieved from https://www.jamovi.org.
[2] R Core Team (2019). R: A Language and environment for statistical computing. (Version 3.6) [Computer software]. Retrieved from https://cran.r-project.org/.
[3] Gallucci, M. (2019). GAMLj: General analyses for linear models. [jamovi module]. Retrieved from https://gamlj.github.io/.