Mixed Model

Model Info
Info 
EstimateLinear mixed model fit by ML
Callresponse_time ~ 1 + language + target_intensity + task_order + AoA + PPVT.Score + language:target_intensity + language:AoA + target_intensity:AoA + language:PPVT.Score + target_intensity:PPVT.Score + language:task_order + language:target_intensity:AoA + language:target_intensity:PPVT.Score+( 1 | subject )+( 1 | face )
AIC78323.885
BIC78435.413
LogLikel.-39144.943
R-squared Marginal0.103
R-squared Conditional0.314
[3]

 

Model Results

Fixed Effect Omnibus tests
 FNum dfDen dfp
language1.621415153.70.203
target_intensity13.681515154.9< .001
task_order0.3756167.50.542
AoA0.1892167.70.665
PPVT.Score0.4008167.80.529
language ✻ target_intensity2.797315151.20.094
language ✻ AoA3.181215153.30.075
target_intensity ✻ AoA0.665315155.10.415
language ✻ PPVT.Score0.468315152.90.494
target_intensity ✻ PPVT.Score0.085915156.90.769
language ✻ task_order168.294715152.1< .001
language ✻ target_intensity ✻ AoA2.794515151.50.095
language ✻ target_intensity ✻ PPVT.Score1.935315151.30.164

 

Fixed Effects Parameter Estimates
95% Confidence Interval
NamesEffectEstimateSELowerUpperdftp
(Intercept)(Intercept)954.945233.179497.9221411.96887.24.095< .001
language1TR - ENG113.468128.339-138.071365.0075153.10.8840.377
target_intensity1low - high494.375129.385240.786747.9645153.13.821< .001
task_order1TR First - ENG First-123.08560.840-242.329-3.84173.5-2.0230.047
AoAAoA5.14412.298-18.96029.24884.80.4180.677
PPVT.ScorePPVT.Score-0.1581.212-2.5332.21885.6-0.1300.897
language1 ✻ target_intensity1TR - ENG ✻ low - high-307.273183.720-667.35752.8125151.2-1.6730.094
language1 ✻ AoATR - ENG ✻ AoA-16.5576.668-29.627-3.4885152.1-2.4830.013
target_intensity1 ✻ AoAlow - high ✻ AoA-11.6996.703-24.8371.4385153.6-1.7450.081
language1 ✻ PPVT.ScoreTR - ENG ✻ PPVT.Score-0.9920.667-2.3000.3165152.5-1.4870.137
target_intensity1 ✻ PPVT.Scorelow - high ✻ PPVT.Score-0.8040.676-2.1280.5205154.3-1.1900.234
language1 ✻ task_order1TR - ENG ✻ TR First - ENG First319.18224.604270.959367.4055152.112.973< .001
language1 ✻ target_intensity1 ✻ AoATR - ENG ✻ low - high ✻ AoA15.7119.398-2.70934.1325151.51.6720.095
language1 ✻ target_intensity1 ✻ PPVT.ScoreTR - ENG ✻ low - high ✻ PPVT.Score1.3270.954-0.5433.1965151.31.3910.164

 

Random Components
GroupsNameSDVarianceICC
subject(Intercept)231.9537830.2276
face(Intercept)48.123130.0125
Residual 427.3182570 

 

Simple Effects

Simple effects of AoA : Omnibus Tests
Moderator levels
languagedfp
ENG0.004001.000.953
TR0.627001.000.428

 

Simple effects of AoA : Parameter estimates
Moderator levels95% Confidence Interval
languageEstimateSELowerUpperzp
ENG-0.70611.9-24.022.6-0.05940.953
TR-9.40811.9-32.713.9-0.79200.428
Note. Simple effects are estimated keeping constant other independent variable(s) in the model

 

Effects Plots

References

[1] The jamovi project (2019). jamovi. (Version 0.9) [Computer Software]. Retrieved from https://www.jamovi.org.

[2] R Core Team (2018). R: A Language and envionment for statistical computing. [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/.