General Linear Model

Model Info
Info 
EstimateLinear model fit by OLS
CallJOLs ~ 1 + Tipicality + Race + Tipicality:Race
R-squared0.0179
Adj. R-squared0.0170
[3]

 

Model Results

ANOVA Omnibus tests
 SSdfFpη²p
Model213.9320.06< .0010.018
Tipicality155.4143.70< .0010.013
Race42.8112.05< .0010.004
Tipicality ✻ Race15.814.430.0350.001
Residuals11717.03296   
Total11930.93299   

 

Fixed Effects Parameter Estimates
95% Confidence Interval
NamesEffectEstimateSELowerUpperβdftp
(Intercept)(Intercept)4.6440.03284.57934.7080.0003296141.48< .001
Tipicality1LowTip - HighTip0.4340.06560.30520.5630.22832966.61< .001
Race1White - Black0.2280.06560.09920.3570.12032963.47< .001
Tipicality1 ✻ Race1LowTip - HighTip ✻ White - Black0.2760.13130.01900.5340.14532962.110.035

 

References

[1] The jamovi project (2019). jamovi. (Version 1.1) [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/.