| Model Info | |||
|---|---|---|---|
| Info | |||
| Estimate | Linear mixed model fit by REML | ||
| Call | Likelihood estimate ~ 1 + Valence + Warmth + Competence + Valence:Warmth + Valence:Competence + Warmth:Competence + Valence:Warmth:Competence+( 1 | Subject_ID )+( 1 | Trial_ID ) | ||
| AIC | 105560.40 | ||
| BIC | 105625.36 | ||
| LogLikel. | 105522.61 | ||
| R-squared Marginal | 0.11 | ||
| R-squared Conditional | 0.28 | ||
| Converged | yes | ||
| Optimizer | bobyqa | ||
| [3] | |||
| Fixed Effect Omnibus tests | |||||||||
|---|---|---|---|---|---|---|---|---|---|
| F | Num df | Den df | p | ||||||
| Valence | 0.47 | 1 | 30.00 | 0.499 | |||||
| Warmth | 462.82 | 1 | 11266.00 | < .001 | |||||
| Competence | 162.55 | 1 | 11266.00 | < .001 | |||||
| Valence ✻ Warmth | 569.22 | 1 | 11266.00 | < .001 | |||||
| Valence ✻ Competence | 137.74 | 1 | 11266.00 | < .001 | |||||
| Warmth ✻ Competence | 112.44 | 1 | 11266.00 | < .001 | |||||
| Valence ✻ Warmth ✻ Competence | 214.74 | 1 | 11266.00 | < .001 | |||||
| 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) | 54.65 | 1.82 | 51.09 | 58.22 | 45.74 | 30.04 | < .001 | |||||||||
| Valence1 | Positive - Negative | 2.23 | 3.25 | -4.15 | 8.61 | 30.00 | 0.68 | 0.499 | |||||||||
| Warmth1 | Warm - Cold | 9.87 | 0.46 | 8.97 | 10.77 | 11266.00 | 21.51 | < .001 | |||||||||
| Competence1 | Incompetent - Competent | -5.85 | 0.46 | -6.75 | -4.95 | 11266.00 | -12.75 | < .001 | |||||||||
| Valence1 ✻ Warmth1 | Positive - Negative ✻ Warm - Cold | 21.89 | 0.92 | 20.09 | 23.69 | 11266.00 | 23.86 | < .001 | |||||||||
| Valence1 ✻ Competence1 | Positive - Negative ✻ Incompetent - Competent | -10.77 | 0.92 | -12.57 | -8.97 | 11266.00 | -11.74 | < .001 | |||||||||
| Warmth1 ✻ Competence1 | Warm - Cold ✻ Incompetent - Competent | -9.73 | 0.92 | -11.53 | -7.93 | 11266.00 | -10.60 | < .001 | |||||||||
| Valence1 ✻ Warmth1 ✻ Competence1 | Positive - Negative ✻ Warm - Cold ✻ Incompetent - Competent | 26.89 | 1.84 | 23.29 | 30.49 | 11266.00 | 14.65 | < .001 | |||||||||
| Random Components | |||||||||
|---|---|---|---|---|---|---|---|---|---|
| Groups | Name | SD | Variance | ICC | |||||
| Subject_ID | (Intercept) | 7.68 | 58.91 | 0.09 | |||||
| Trial_ID | (Intercept) | 9.11 | 83.06 | 0.12 | |||||
| Residual | 24.48 | 599.39 | |||||||
| Note. Number of Obs: 11392 , groups: Subject_ID 89, Trial_ID 32 | |||||||||
| Post Hoc Comparisons - Valence ✻ Warmth | |||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Comparison | |||||||||||||||||||
| Valence | Warmth | Valence | Warmth | Difference | SE | t | df | pbonferroni | |||||||||||
| NegativeCold | NegativeWarm | - | . | . | 1.08 | 0.65 | 1.66 | 11266.00 | 0.584 | ||||||||||
| NegativeCold | PositiveCold | - | . | . | 8.72 | 3.29 | 2.65 | 31.20 | 0.075 | ||||||||||
| NegativeCold | PositiveWarm | - | . | . | -12.10 | 3.29 | -3.68 | 31.20 | 0.005 | ||||||||||
| NegativeWarm | PositiveWarm | - | . | . | -13.17 | 3.29 | -4.01 | 31.20 | 0.002 | ||||||||||
| PositiveCold | NegativeWarm | - | . | . | -7.64 | 3.29 | -2.32 | 31.20 | 0.161 | ||||||||||
| PositiveCold | PositiveWarm | - | . | . | -20.81 | 0.65 | -32.08 | 11266.00 | < .001 | ||||||||||
| Simple effects of Valence : Omnibus Tests | |||||||||
|---|---|---|---|---|---|---|---|---|---|
| Moderator levels | |||||||||
| Warmth | F | Num df | Den df | p | |||||
| Cold | 7.03 | 1.00 | 31.20 | 0.012 | |||||
| Warm | 16.06 | 1.00 | 31.20 | < .001 | |||||
| Simple effects of Valence : Parameter estimates | |||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Moderator levels | 95% Confidence Interval | ||||||||||||||||
| Warmth | contrast | Estimate | SE | Lower | Upper | df | t | p | |||||||||
| Cold | Positive - Negative | -8.72 | 3.29 | -15.42 | -2.02 | 31.20 | -2.65 | 0.012 | |||||||||
| Warm | Positive - Negative | 13.17 | 3.29 | 6.47 | 19.88 | 31.20 | 4.01 | < .001 | |||||||||
| Note. Simple effects are estimated setting higher order moderator (if any) in covariates to zero and averaging across moderating factors levels (if any) | |||||||||||||||||
[1] The jamovi project (2021). jamovi. (Version 1.6) [Computer Software]. Retrieved from https://www.jamovi.org.
[2] R Core Team (2020). R: A Language and environment for statistical computing. (Version 4.0) [Computer software]. Retrieved from https://cran.r-project.org. (R packages retrieved from MRAN snapshot 2020-08-24).
[3] Gallucci, M. (2019). GAMLj: General analyses for linear models. [jamovi module]. Retrieved from https://gamlj.github.io/.