| Model Info | |||
|---|---|---|---|
| Info | |||
| Estimate | Linear mixed model fit by REML | ||
| Call | DASS_Depress ~ 1 + Indice1+( 1 | id ) | ||
| AIC | 148.5018 | ||
| BIC | 169.5372 | ||
| LogLikel. | -73.5191 | ||
| R-squared Marginal | 0.0190 | ||
| R-squared Conditional | 0.6303 | ||
| Converged | yes | ||
| Optimizer | bobyqa | ||
| [3] | |||
| Fixed Effect Omnibus tests | |||||||||
|---|---|---|---|---|---|---|---|---|---|
| F | Num df | Den df | p | ||||||
| Indice1 | 2.29 | 2 | 58.0 | 0.110 | |||||
| Nota. Satterthwaite method for degrees of freedom | |||||||||
| Fixed Effects Parameter Estimates | |||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 95% Confidence Interval | |||||||||||||||||
| Names | Effect | Estimate | SE | Lower | Upper | df | t | p | |||||||||
| (Intercept) | (Intercept) | 0.811 | 0.102 | 0.612 | 1.01011 | 29.0 | 7.99 | < .001 | |||||||||
| Indice11 | 1 - 0 | -0.157 | 0.102 | -0.357 | 0.04252 | 58.0 | -1.54 | 0.128 | |||||||||
| Indice12 | 2 - 0 | -0.210 | 0.102 | -0.409 | -0.00987 | 58.0 | -2.06 | 0.044 | |||||||||
| Random Components | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Variance 95% C.I. | |||||||||||||
| Groups | Name | SD | Variance | Lower | Upper | ICC | |||||||
| id | (Intercept) | 0.507 | 0.257 | 0.135 | 0.470 | 0.623 | |||||||
| Residual | 0.395 | 0.156 | 0.107 | 0.220 | |||||||||
| Nota. Number of Obs: 90 , groups: id 30 | |||||||||||||
| Random Effect LRT | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Test | N. par | AIC | LRT | df | p | ||||||
| (1 | id) | 4.00 | 188 | 33.1 | 1.00 | < .001 | ||||||
Note: Random effects are plotted by id
[1] The jamovi project (2022). jamovi. (Version 2.3) [Computer Software]. Retrieved from https://www.jamovi.org.
[2] R Core Team (2021). R: A Language and environment for statistical computing. (Version 4.1) [Computer software]. Retrieved from https://cran.r-project.org. (R packages retrieved from MRAN snapshot 2022-01-01).
[3] Gallucci, M. (2019). GAMLj: General analyses for linear models. [jamovi module]. Retrieved from https://gamlj.github.io/.