Overall bad model? # Poor model fit ![[rating2_pred 8.png]] ![[rt_pred 8.png]] ![[rt0_pred 7.png]] ![[rt1_pred 8.png]] # Parameters ## Drift b0 ![[driftb0 10.png]] ```r > d[condition %in% c(0, 1), summaryh(lmer(driftb0 ~ conditionEC * platformZ + (1 + conditionEC | study)))] boundary (singular) fit: see ?isSingular term results 1: (Intercept) b = −0.55, SE = 0.12, t(6) = −4.42, p = .005, r = 0.88 2: conditionEC b = 0.05, SE = 0.12, t(101) = 0.38, p = .705, r = 0.04 3: platformZ b = −0.26, SE = 0.12, t(6) = −2.10, p = .081, r = 0.65 # 4: conditionEC:platformZ b = −0.06, SE = 0.12, t(153) = −0.51, p = .608, r = 0.04 ``` ## Drift b1 ![[driftb1 10.png]] No effect of condition ```r > d[condition %in% c(0, 1), summaryh(lmer(driftb1 ~ conditionEC * platformZ + (1 + conditionEC | study)))] boundary (singular) fit: see ?isSingular term results 1: (Intercept) b = 0.01, SE = 0.05, t(6) = 0.23, p = .825, r = 0.09 2: conditionEC b = 0.03, SE = 0.09, t(7) = 0.38, p = .718, r = 0.15 3: platformZ b = 0.02, SE = 0.05, t(6) = 0.44, p = .674, r = 0.17 4: conditionEC:platformZ b = 0.02, SE = 0.08, t(7) = 0.22, p = .833, r = 0.08 ``` ## Boundary ![[b 10.png]] ```r > d[condition %in% c(0, 1), summaryh(lmer(B ~ conditionEC * platformZ + (1 + conditionEC | study)))] term results 1: (Intercept) b = 20.79, SE = 0.51, t(2) = 40.60, p < .001, r = 1.00 2: conditionEC b = −0.47, SE = 0.57, t(32) = −0.83, p = .410, r = 0.15 3: platformZ b = 1.14, SE = 0.50, t(3) = 2.27, p = .124, r = 0.82 4: conditionEC:platformZ b = 0.19, SE = 0.57, t(49) = 0.33, p = .740, r = 0.05 ``` ## Starting point ![[bias 11.png]] ```r > d[condition %in% c(0, 1), summaryh(lmer(x0 ~ conditionEC * platformZ + (1 + conditionEC | study)))] boundary (singular) fit: see ?isSingular term results 1: (Intercept) b = −4.12, SE = 0.80, t(5) = −5.13, p = .005, r = 0.92 2: conditionEC b = −0.86, SE = 0.93, t(11) = −0.92, p = .374, r = 0.26 3: platformZ b = −1.63, SE = 0.78, t(5) = −2.08, p = .095, r = 0.69 # 4: conditionEC:platformZ b = −0.11, SE = 0.93, t(14) = −0.12, p = .906, r = 0.03 ```