Model Info | |||
---|---|---|---|
Info | |||
Estimate | Linear mixed model fit by REML | ||
Call | Opt-out rate ~ 1 + Binned distance (zscore) + I(Binned distance (zscore)^2)+( 1 + Binned distance (zscore) + I(Binned distance (zscore)^2) | sbj ) | ||
AIC | -453.9790 | ||
BIC | -387.1811 | ||
LogLikel. | 226.0213 | ||
R-squared Marginal | 0.0890 | ||
R-squared Conditional | 0.6963 | ||
Converged | yes | ||
Optimizer | bobyqa | ||
[3] |
Fixed Effect Omnibus tests | |||||||||
---|---|---|---|---|---|---|---|---|---|
F | Num df | Den df | p | ||||||
Binned distance (zscore) | 2.66 | 1 | 84.2 | 0.106 | |||||
Binned distance (zscore)² | 48.77 | 1 | 92.4 | < .001 | |||||
Note. Satterthwaite method for degrees of freedom | |||||||||
Fixed Effects Parameter Estimates | |||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
95% Confidence Interval | |||||||||||||||
Names | Estimate | SE | Lower | Upper | df | t | p | ||||||||
(Intercept) | 0.0635 | 0.01167 | 0.0406 | 0.08639 | 94.3 | 5.44 | < .001 | ||||||||
Binned distance (zscore) | -0.0160 | 0.00978 | -0.0351 | 0.00321 | 84.2 | -1.63 | 0.106 | ||||||||
Binned distance (zscore)² | 0.0754 | 0.01080 | 0.0542 | 0.09658 | 92.4 | 6.98 | < .001 | ||||||||
Random Components | |||||||||
---|---|---|---|---|---|---|---|---|---|
Groups | Name | SD | Variance | ICC | |||||
sbj | (Intercept) | 0.0878 | 0.00772 | 0.332 | |||||
Binned distance (zscore) | 0.0824 | 0.00679 | |||||||
Binned distance (zscore)² | 0.0897 | 0.00805 | |||||||
Residual | 0.1246 | 0.01552 | |||||||
Note. Number of Obs: 656 , groups: sbj 95 | |||||||||
Random Parameters correlations | |||||||
---|---|---|---|---|---|---|---|
Groups | Param.1 | Param.2 | Corr. | ||||
sbj | (Intercept) | Binned distance (zscore) | 0.226 | ||||
(Intercept) | Binned distance (zscore)² | 0.159 | |||||
Binned distance (zscore) | Binned distance (zscore)² | -0.562 | |||||
[1] The jamovi project (2021). jamovi. (Version 2.2) [Computer Software]. Retrieved from https://www.jamovi.org.
[2] R Core Team (2021). 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 2021-04-01).
[3] Gallucci, M. (2019). GAMLj: General analyses for linear models. [jamovi module]. Retrieved from https://gamlj.github.io/.