# Model fit ![[rating2_pred 7.png]] ![[rt_pred 7.png]] ![[rt0_pred 6.png]] ![[rt1_pred 7.png]] # Parameters ## Drift b0 ![[driftb0 9.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 = −0.30, SE = 0.06, t(7) = −4.84, p = .002, r = 0.87 2: conditionEC b = 0.01, SE = 0.05, t(12) = 0.21, p = .839, r = 0.06 3: platformZ b = −0.09, SE = 0.06, t(8) = −1.53, p = .166, r = 0.49 4: conditionEC:platformZ b = −0.09, SE = 0.05, t(15) = −1.81, p = .090, r = 0.42 # ``` ## Drift b1 ![[driftb1 9.png]] ```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 = 0.37, SE = 0.07, t(7) = 5.50, p = .001, r = 0.91 2: conditionEC b = 0.24, SE = 0.06, t(49) = 3.99, p < .001, r = 0.49 # 3: platformZ b = −0.07, SE = 0.07, t(7) = −1.07, p = .323, r = 0.38 4: conditionEC:platformZ b = 4e−04, SE = 0.06, t(73) = 0.006, p = .995, r = 7e−04 ``` ## Boundary ![[b 9.png]] ```r > d[condition %in% c(0, 1), summaryh(lmer(B ~ conditionEC * platformZ + (1 + conditionEC | study)))] boundary (singular) fit: see ?isSingular term results 1: (Intercept) b = 3.07, SE = 0.20, t(6) = 15.00, p < .001, r = 0.99 2: conditionEC b = 0.09, SE = 0.14, t(8) = 0.65, p = .534, r = 0.23 3: platformZ b = −0.06, SE = 0.20, t(6) = −0.33, p = .754, r = 0.14 4: conditionEC:platformZ b = 0.18, SE = 0.14, t(10) = 1.33, p = .216, r = 0.39 ``` ## Starting point ![[bias 10.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 = −0.001, SE = 0.01, t(6) = −0.10, p = .920, r = 0.04 2: conditionEC b = 0.02, SE = 0.02, t(234) = 0.87, p = .383, r = 0.06 3: platformZ b = 0.03, SE = 0.01, t(8) = 2.16, p = .064, r = 0.62 4: conditionEC:platformZ b = −0.02, SE = 0.02, t(411) = −0.71, p = .481, r = 0.03 ``` ## Non-decision time ![[ndt 10.png]] ```r > d[condition %in% c(0, 1), summaryh(lmer(nondectime ~ conditionEC * platformZ + (1 + conditionEC | study)))] boundary (singular) fit: see ?isSingular term results 1: (Intercept) b = 3.17, SE = 0.15, t(5) = 20.69, p < .001, r = 0.99 2: conditionEC b = −0.14, SE = 0.12, t(18) = −1.13, p = .274, r = 0.25 3: platformZ b = 0.23, SE = 0.15, t(5) = 1.55, p = .179, r = 0.56 4: conditionEC:platformZ b = −0.03, SE = 0.12, t(25) = −0.23, p = .823, r = 0.04 ```