# Mixed Model gamlj::gamljMixed( data = data, dep = RT, factors = Condition, covs = vars(FI, Trial), modelTerms = ~ Condition + Trial + FI + Condition:Trial, contrasts = list( list( var="Condition", type="dummy")), plotHAxis = Trial, plotSepLines = Condition, plotError = "ci", postHoc = ~ Condition, eDesc = TRUE, eCovs = TRUE, scaling = list( list( var="FI", type="centered"), list( var="Trial", type="centered")), cluster = ID, randomTerms = ~ Intercept:ID) # # Model Info # ─────────────────────────────────────────────────────────────────────────────────────── # Info # ─────────────────────────────────────────────────────────────────────────────────────── # Estimate Linear mixed model fit by REML # Call RT ~ 1 + Condition + Trial + FI + Condition:Trial+( 1|ID ) # AIC 22125.94292 # R-squared Marginal 0.00429 # R-squared Conditional 0.48233 # ─────────────────────────────────────────────────────────────────────────────────────── # # # Model Results # # Fixed Effect Omnibus tests # ──────────────────────────────────────────────────────────── # F Num df Den df p # ──────────────────────────────────────────────────────────── # Condition 5.4523 1 2102.0 0.020 # Trial 5.5880 1 2102.0 0.018 # FI 0.1491 1 43.0 0.701 # Condition * Trial 0.0532 1 2102.0 0.818 # ──────────────────────────────────────────────────────────── # Note. Satterthwaite method for degrees of freedom # # # # Fixed Effects Parameter Estimates # ────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────── # Names Effect Estimate SE Lower Upper df t p # ────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────── # (Intercept) (Intercept) 266.1537 5.861 254.666 277.6413 44.9 45.410 < .001 # Condition1 2 - After - 1 - Before 4.0308 1.726 0.647 7.4142 2102.0 2.335 0.020 # Trial Trial -0.3236 0.176 -0.669 0.0217 2102.0 -1.837 0.066 # FI FI -0.2608 0.675 -1.585 1.0631 43.0 -0.386 0.701 # Condition1 * Trial 2 - After - 1 - Before * Trial 0.0575 0.249 -0.431 0.5465 2102.0 0.231 0.818 # ────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────── # # # # Random Components # ──────────────────────────────────────────────────────── # Groups Name SD Variance ICC # ──────────────────────────────────────────────────────── # ID (Intercept) 38.5 1479 0.480 # Residual 40.0 1601 # ──────────────────────────────────────────────────────── # Note. Numer of Obs: 2150 , groups: ID , 45 # # # Post Hoc Tests # # Post Hoc Comparisons - Condition # ─────────────────────────────────────────────────────────────────────────────────────── # Condition Condition Difference SE test df p-bonferroni # ─────────────────────────────────────────────────────────────────────────────────────── # 1 - Before - 2 - After -4.03 1.73 -2.34 2102 0.020 # ─────────────────────────────────────────────────────────────────────────────────────── # # # Estimated Marginal Means # # Condition # ──────────────────────────────────────────────────────── # Condition Mean SE df Lower Upper # ──────────────────────────────────────────────────────── # 1 - Before 266 5.86 44.9 254 278 # 2 - After 270 5.86 44.9 258 282 # ──────────────────────────────────────────────────────── # Note. Estimated means are estimated averaging # across interacting variables # # # # Trial # ─────────────────────────────────────────────────────── # Trial Mean SE df Lower Upper # ─────────────────────────────────────────────────────── # Mean-1·SD 270 5.86 44.9 258 282 # Mean 268 5.80 43.0 256 280 # Mean+1·SD 266 5.86 44.9 254 278 # ─────────────────────────────────────────────────────── # Note. Estimated means are estimated averaging # across interacting variables # # # # FI # ─────────────────────────────────────────────────────── # FI Mean SE df Lower Upper # ─────────────────────────────────────────────────────── # Mean-1·SD 270 8.20 43.0 254 287 # Mean 268 5.80 43.0 256 280 # Mean+1·SD 266 8.20 43.0 249 282 # ─────────────────────────────────────────────────────── # Note. Estimated means are estimated keeping # constant other independent variable(s) in the # model to the mean # # # # Condition:Trial # ───────────────────────────────────────────────────────────────────── # Condition Trial Mean SE df Lower Upper # ───────────────────────────────────────────────────────────────────── # 1 - Before Mean-1·SD 268 5.99 48.9 256 280 # 2 - After Mean-1·SD 272 5.99 48.9 260 284 # 1 - Before Mean 266 5.86 44.9 254 278 # 2 - After Mean 270 5.86 44.9 258 282 # 1 - Before Mean+1·SD 264 5.99 48.9 252 276 # 2 - After Mean+1·SD 268 5.99 48.9 256 280 # ───────────────────────────────────────────────────────────────────── # Note. Estimated means are estimated keeping constant other # independent variable(s) in the model to the mean # # # Mixed Model gamlj::gamljMixed( data = data, dep = MT, factors = Condition, covs = vars(FI, Trial), modelTerms = ~ Condition + Trial + FI + Condition:Trial, contrasts = list( list( var="Condition", type="dummy")), plotHAxis = Trial, plotSepLines = Condition, plotError = "ci", postHoc = ~ Condition, eDesc = TRUE, eCovs = TRUE, scaling = list( list( var="FI", type="centered"), list( var="Trial", type="centered")), cluster = ID, randomTerms = ~ Intercept:ID, duplicate = 1) # # Model Info # ─────────────────────────────────────────────────────────────────────────────────────── # Info # ─────────────────────────────────────────────────────────────────────────────────────── # Estimate Linear mixed model fit by REML # Call MT ~ 1 + Condition + Trial + FI + Condition:Trial+( 1|ID ) # AIC 25871.40982 # R-squared Marginal 0.00300 # R-squared Conditional 0.03480 # ─────────────────────────────────────────────────────────────────────────────────────── # # # Model Results # # Fixed Effect Omnibus tests # ─────────────────────────────────────────────────────────── # F Num df Den df p # ─────────────────────────────────────────────────────────── # Condition 0.559 1 2102.3 0.455 # Trial 5.173 1 2102.2 0.023 # FI 0.278 1 43.0 0.601 # Condition * Trial 0.263 1 2102.2 0.608 # ─────────────────────────────────────────────────────────── # Note. Satterthwaite method for degrees of freedom # # # # Fixed Effects Parameter Estimates # ───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────── # Names Effect Estimate SE Lower Upper df t p # ───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────── # (Intercept) (Intercept) 115.008 4.020 107.129 122.888 82.7 28.606 < .001 # Condition1 2 - After - 1 - Before -3.180 4.253 -11.517 5.156 2102.3 -0.748 0.455 # Trial Trial -0.541 0.434 -1.392 0.310 2102.1 -1.247 0.213 # FI FI 0.210 0.398 -0.570 0.989 43.0 0.527 0.601 # Condition1 * Trial 2 - After - 1 - Before * Trial -0.315 0.615 -1.520 0.890 2102.2 -0.513 0.608 # ───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────── # # # # Random Components # ───────────────────────────────────────────────────────── # Groups Name SD Variance ICC # ───────────────────────────────────────────────────────── # ID (Intercept) 17.9 320 0.0319 # Residual 98.6 9723 # ───────────────────────────────────────────────────────── # Note. Numer of Obs: 2150 , groups: ID , 45 # # # Post Hoc Tests # # Post Hoc Comparisons - Condition # ─────────────────────────────────────────────────────────────────────────────────────── # Condition Condition Difference SE test df p-bonferroni # ─────────────────────────────────────────────────────────────────────────────────────── # 1 - Before - 2 - After 3.18 4.25 0.748 2102 0.455 # ─────────────────────────────────────────────────────────────────────────────────────── # # # Estimated Marginal Means # # Condition # ──────────────────────────────────────────────────────── # Condition Mean SE df Lower Upper # ──────────────────────────────────────────────────────── # 1 - Before 115 4.02 82.7 107 123 # 2 - After 112 4.02 82.7 104 120 # ──────────────────────────────────────────────────────── # Note. Estimated means are estimated averaging # across interacting variables # # # # Trial # ─────────────────────────────────────────────────────── # Trial Mean SE df Lower Upper # ─────────────────────────────────────────────────────── # Mean-1·SD 118 4.02 82.8 110 126 # Mean 113 3.41 43.0 107 120 # Mean+1·SD 109 4.02 82.8 101 117 # ─────────────────────────────────────────────────────── # Note. Estimated means are estimated averaging # across interacting variables # # # # FI # ─────────────────────────────────────────────────────── # FI Mean SE df Lower Upper # ─────────────────────────────────────────────────────── # Mean-1·SD 112 4.83 43.1 102 121 # Mean 113 3.41 43.0 107 120 # Mean+1·SD 115 4.83 43.0 105 125 # ─────────────────────────────────────────────────────── # Note. Estimated means are estimated keeping # constant other independent variable(s) in the # model to the mean # # # # Condition:Trial # ────────────────────────────────────────────────────────────────────── # Condition Trial Mean SE df Lower Upper # ────────────────────────────────────────────────────────────────────── # 1 - Before Mean-1·SD 119 5.02 196.5 108.9 129 # 2 - After Mean-1·SD 118 5.02 196.4 107.9 128 # 1 - Before Mean 115 4.02 82.7 107.0 123 # 2 - After Mean 112 4.02 82.7 103.8 120 # 1 - Before Mean+1·SD 111 5.02 195.8 101.4 121 # 2 - After Mean+1·SD 106 5.03 197.1 96.0 116 # ────────────────────────────────────────────────────────────────────── # Note. Estimated means are estimated keeping constant other # independent variable(s) in the model to the mean # # # Mixed Model gamlj::gamljMixed( data = data, dep = Residuals RT, factors = Condition, covs = vars(FI, Trial), modelTerms = ~ Condition + Trial + FI + Condition:Trial, contrasts = list( list( var="Condition", type="dummy")), plotHAxis = Trial, plotSepLines = Condition, plotError = "ci", postHoc = ~ Condition, eDesc = TRUE, eCovs = TRUE, scaling = list( list( var="FI", type="centered"), list( var="Trial", type="centered")), cluster = ID, randomTerms = ~ Intercept:ID, duplicate = 1) # # Model Info # ───────────────────────────────────────────────────────────────────────────────────────────────── # Info # ───────────────────────────────────────────────────────────────────────────────────────────────── # Estimate Linear mixed model fit by REML # Call Residuals RT ~ 1 + Condition + Trial + FI + Condition:Trial+( 1|ID ) # AIC 3000.4295 # R-squared Marginal 0.0118 # R-squared Conditional 0.1409 # ───────────────────────────────────────────────────────────────────────────────────────────────── # # # Model Results # # Fixed Effect Omnibus tests # ───────────────────────────────────────────────────────────── # F Num df Den df p # ───────────────────────────────────────────────────────────── # Condition 11.969 1 2101.9 < .001 # Trial 0.724 1 2101.9 0.395 # FI 1.969 1 42.8 0.168 # Condition * Trial 0.813 1 2101.9 0.367 # ───────────────────────────────────────────────────────────── # Note. Satterthwaite method for degrees of freedom # # # # Fixed Effects Parameter Estimates # ──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────── # Names Effect Estimate SE Lower Upper df t p # ──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────── # (Intercept) (Intercept) 0.47650 0.03081 0.41611 0.53689 53.9 15.465 < .001 # Condition1 2 - After - 1 - Before 0.07037 0.02034 0.03051 0.11024 2101.9 3.460 < .001 # Trial Trial -0.00258 0.00208 -0.00665 0.00149 2101.8 -1.240 0.215 # FI FI -0.00476 0.00339 -0.01140 0.00189 42.8 -1.403 0.168 # Condition1 * Trial 2 - After - 1 - Before * Trial 0.00265 0.00294 -0.00311 0.00841 2101.9 0.902 0.367 # ──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────── # # # # Random Components # ───────────────────────────────────────────────────────── # Groups Name SD Variance ICC # ───────────────────────────────────────────────────────── # ID (Intercept) 0.183 0.0334 0.131 # Residual 0.472 0.2224 # ───────────────────────────────────────────────────────── # Note. Numer of Obs: 2150 , groups: ID , 45 # # # Post Hoc Tests # # Post Hoc Comparisons - Condition # ───────────────────────────────────────────────────────────────────────────────────────── # Condition Condition Difference SE test df p-bonferroni # ───────────────────────────────────────────────────────────────────────────────────────── # 1 - Before - 2 - After -0.0704 0.0203 -3.46 2102 < .001 # ───────────────────────────────────────────────────────────────────────────────────────── # # # Estimated Marginal Means # # Condition # ─────────────────────────────────────────────────────────── # Condition Mean SE df Lower Upper # ─────────────────────────────────────────────────────────── # 1 - Before 0.477 0.0308 53.9 0.415 0.538 # 2 - After 0.547 0.0308 53.9 0.485 0.609 # ─────────────────────────────────────────────────────────── # Note. Estimated means are estimated averaging across # interacting variables # # # # Trial # ────────────────────────────────────────────────────────── # Trial Mean SE df Lower Upper # ────────────────────────────────────────────────────────── # Mean-1·SD 0.520 0.0308 53.9 0.459 0.582 # Mean 0.512 0.0291 42.8 0.453 0.570 # Mean+1·SD 0.503 0.0308 53.9 0.441 0.565 # ────────────────────────────────────────────────────────── # Note. Estimated means are estimated averaging across # interacting variables # # # # FI # ────────────────────────────────────────────────────────── # FI Mean SE df Lower Upper # ────────────────────────────────────────────────────────── # Mean-1·SD 0.553 0.0411 42.8 0.470 0.635 # Mean 0.512 0.0291 42.8 0.453 0.570 # Mean+1·SD 0.471 0.0411 42.8 0.388 0.554 # ────────────────────────────────────────────────────────── # Note. Estimated means are estimated keeping constant # other independent variable(s) in the model to the # mean # # # # Condition:Trial # ──────────────────────────────────────────────────────────────────────── # Condition Trial Mean SE df Lower Upper # ──────────────────────────────────────────────────────────────────────── # 1 - Before Mean-1·SD 0.494 0.0340 79.8 0.427 0.562 # 2 - After Mean-1·SD 0.546 0.0340 79.8 0.479 0.614 # 1 - Before Mean 0.477 0.0308 53.9 0.415 0.538 # 2 - After Mean 0.547 0.0308 53.9 0.485 0.609 # 1 - Before Mean+1·SD 0.459 0.0340 79.6 0.391 0.526 # 2 - After Mean+1·SD 0.547 0.0340 79.9 0.480 0.615 # ──────────────────────────────────────────────────────────────────────── # Note. Estimated means are estimated keeping constant other # independent variable(s) in the model to the mean # # # Mixed Model gamlj::gamljMixed( data = data, dep = Residuals RT, factors = Condition, covs = vars(FI, Trial), modelTerms = ~ Condition + Trial + FI + Condition:Trial, contrasts = list( list( var="Condition", type="dummy")), plotHAxis = Trial, plotSepLines = Condition, plotError = "ci", postHoc = ~ Condition, eDesc = TRUE, eCovs = TRUE, scaling = list( list( var="FI", type="centered"), list( var="Trial", type="centered")), cluster = ID, randomTerms = ~ Intercept:ID, duplicate = 1) # # Model Info # ───────────────────────────────────────────────────────────────────────────────────────────────── # Info # ───────────────────────────────────────────────────────────────────────────────────────────────── # Estimate Linear mixed model fit by REML # Call Residuals RT ~ 1 + Condition + Trial + FI + Condition:Trial+( 1|ID ) # AIC 3000.4295 # R-squared Marginal 0.0118 # R-squared Conditional 0.1409 # ───────────────────────────────────────────────────────────────────────────────────────────────── # # # Model Results # # Fixed Effect Omnibus tests # ───────────────────────────────────────────────────────────── # F Num df Den df p # ───────────────────────────────────────────────────────────── # Condition 11.969 1 2101.9 < .001 # Trial 0.724 1 2101.9 0.395 # FI 1.969 1 42.8 0.168 # Condition * Trial 0.813 1 2101.9 0.367 # ───────────────────────────────────────────────────────────── # Note. Satterthwaite method for degrees of freedom # # # # Fixed Effects Parameter Estimates # ──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────── # Names Effect Estimate SE Lower Upper df t p # ──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────── # (Intercept) (Intercept) 0.47650 0.03081 0.41611 0.53689 53.9 15.465 < .001 # Condition1 2 - After - 1 - Before 0.07037 0.02034 0.03051 0.11024 2101.9 3.460 < .001 # Trial Trial -0.00258 0.00208 -0.00665 0.00149 2101.8 -1.240 0.215 # FI FI -0.00476 0.00339 -0.01140 0.00189 42.8 -1.403 0.168 # Condition1 * Trial 2 - After - 1 - Before * Trial 0.00265 0.00294 -0.00311 0.00841 2101.9 0.902 0.367 # ──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────── # # # # Random Components # ───────────────────────────────────────────────────────── # Groups Name SD Variance ICC # ───────────────────────────────────────────────────────── # ID (Intercept) 0.183 0.0334 0.131 # Residual 0.472 0.2224 # ───────────────────────────────────────────────────────── # Note. Numer of Obs: 2150 , groups: ID , 45 # # # Post Hoc Tests # # Post Hoc Comparisons - Condition # ───────────────────────────────────────────────────────────────────────────────────────── # Condition Condition Difference SE test df p-bonferroni # ───────────────────────────────────────────────────────────────────────────────────────── # 1 - Before - 2 - After -0.0704 0.0203 -3.46 2102 < .001 # ───────────────────────────────────────────────────────────────────────────────────────── # # # Estimated Marginal Means # # Condition # ─────────────────────────────────────────────────────────── # Condition Mean SE df Lower Upper # ─────────────────────────────────────────────────────────── # 1 - Before 0.477 0.0308 53.9 0.415 0.538 # 2 - After 0.547 0.0308 53.9 0.485 0.609 # ─────────────────────────────────────────────────────────── # Note. Estimated means are estimated averaging across # interacting variables # # # # Trial # ────────────────────────────────────────────────────────── # Trial Mean SE df Lower Upper # ────────────────────────────────────────────────────────── # Mean-1·SD 0.520 0.0308 53.9 0.459 0.582 # Mean 0.512 0.0291 42.8 0.453 0.570 # Mean+1·SD 0.503 0.0308 53.9 0.441 0.565 # ────────────────────────────────────────────────────────── # Note. Estimated means are estimated averaging across # interacting variables # # # # FI # ────────────────────────────────────────────────────────── # FI Mean SE df Lower Upper # ────────────────────────────────────────────────────────── # Mean-1·SD 0.553 0.0411 42.8 0.470 0.635 # Mean 0.512 0.0291 42.8 0.453 0.570 # Mean+1·SD 0.471 0.0411 42.8 0.388 0.554 # ────────────────────────────────────────────────────────── # Note. Estimated means are estimated keeping constant # other independent variable(s) in the model to the # mean # # # # Condition:Trial # ──────────────────────────────────────────────────────────────────────── # Condition Trial Mean SE df Lower Upper # ──────────────────────────────────────────────────────────────────────── # 1 - Before Mean-1·SD 0.494 0.0340 79.8 0.427 0.562 # 2 - After Mean-1·SD 0.546 0.0340 79.8 0.479 0.614 # 1 - Before Mean 0.477 0.0308 53.9 0.415 0.538 # 2 - After Mean 0.547 0.0308 53.9 0.485 0.609 # 1 - Before Mean+1·SD 0.459 0.0340 79.6 0.391 0.526 # 2 - After Mean+1·SD 0.547 0.0340 79.9 0.480 0.615 # ──────────────────────────────────────────────────────────────────────── # Note. Estimated means are estimated keeping constant other # independent variable(s) in the model to the mean # # # Mixed Model gamlj::gamljMixed( data = data, dep = Residuals MT, factors = Condition, covs = vars(FI, Trial), modelTerms = ~ Condition + Trial + FI + Condition:Trial, contrasts = list( list( var="Condition", type="dummy")), plotHAxis = Trial, plotSepLines = Condition, plotError = "ci", postHoc = ~ Condition, eDesc = TRUE, eCovs = TRUE, scaling = list( list( var="FI", type="centered"), list( var="Trial", type="centered")), cluster = ID, randomTerms = ~ Intercept:ID, duplicate = 1) # # Model Info # ───────────────────────────────────────────────────────────────────────────────────────────────── # Info # ───────────────────────────────────────────────────────────────────────────────────────────────── # Estimate Linear mixed model fit by REML # Call Residuals MT ~ 1 + Condition + Trial + FI + Condition:Trial+( 1|ID ) # AIC 5643.31775 # R-squared Marginal 0.00948 # R-squared Conditional 0.04956 # ───────────────────────────────────────────────────────────────────────────────────────────────── # # # Model Results # # Fixed Effect Omnibus tests # ─────────────────────────────────────────────────────────── # F Num df Den df p # ─────────────────────────────────────────────────────────── # Condition 0.120 1 2102.0 0.729 # Trial 5.011 1 2102.0 0.025 # FI 4.858 1 42.9 0.033 # Condition * Trial 1.709 1 2102.0 0.191 # ─────────────────────────────────────────────────────────── # Note. Satterthwaite method for degrees of freedom # # # # Fixed Effects Parameter Estimates # ─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────── # Names Effect Estimate SE Lower Upper df t p # ─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────── # (Intercept) (Intercept) 0.38048 0.03811 0.3058 0.45518 75.8 9.983 < .001 # Condition1 2 - After - 1 - Before -0.01316 0.03804 -0.0877 0.06140 2102.0 -0.346 0.729 # Trial Trial -0.00256 0.00388 -0.0102 0.00505 2101.9 -0.659 0.510 # FI FI 0.00848 0.00385 9.39e-4 0.01602 42.9 2.204 0.033 # Condition1 * Trial 2 - After - 1 - Before * Trial -0.00719 0.00550 -0.0180 0.00359 2102.0 -1.307 0.191 # ─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────── # # # # Random Components # ────────────────────────────────────────────────────────── # Groups Name SD Variance ICC # ────────────────────────────────────────────────────────── # ID (Intercept) 0.181 0.0328 0.0405 # Residual 0.882 0.7778 # ────────────────────────────────────────────────────────── # Note. Numer of Obs: 2150 , groups: ID , 45 # # # Post Hoc Tests # # Post Hoc Comparisons - Condition # ───────────────────────────────────────────────────────────────────────────────────────── # Condition Condition Difference SE test df p-bonferroni # ───────────────────────────────────────────────────────────────────────────────────────── # 1 - Before - 2 - After 0.0132 0.0380 0.346 2102 0.729 # ───────────────────────────────────────────────────────────────────────────────────────── # # # Estimated Marginal Means # # Condition # ─────────────────────────────────────────────────────────── # Condition Mean SE df Lower Upper # ─────────────────────────────────────────────────────────── # 1 - Before 0.380 0.0381 75.8 0.305 0.456 # 2 - After 0.367 0.0381 75.8 0.291 0.443 # ─────────────────────────────────────────────────────────── # Note. Estimated means are estimated averaging across # interacting variables # # # # Trial # ────────────────────────────────────────────────────────── # Trial Mean SE df Lower Upper # ────────────────────────────────────────────────────────── # Mean-1·SD 0.416 0.0381 75.8 0.341 0.492 # Mean 0.374 0.0330 42.8 0.307 0.441 # Mean+1·SD 0.331 0.0381 75.8 0.255 0.407 # ────────────────────────────────────────────────────────── # Note. Estimated means are estimated averaging across # interacting variables # # # # FI # ────────────────────────────────────────────────────────── # FI Mean SE df Lower Upper # ────────────────────────────────────────────────────────── # Mean-1·SD 0.301 0.0467 42.9 0.207 0.395 # Mean 0.374 0.0330 42.8 0.307 0.441 # Mean+1·SD 0.447 0.0467 42.8 0.352 0.541 # ────────────────────────────────────────────────────────── # Note. Estimated means are estimated keeping constant # other independent variable(s) in the model to the # mean # # # # Condition:Trial # ───────────────────────────────────────────────────────────────────────── # Condition Trial Mean SE df Lower Upper # ───────────────────────────────────────────────────────────────────────── # 1 - Before Mean-1·SD 0.398 0.0467 167.3 0.306 0.490 # 2 - After Mean-1·SD 0.435 0.0467 167.2 0.343 0.527 # 1 - Before Mean 0.380 0.0381 75.8 0.305 0.456 # 2 - After Mean 0.367 0.0381 75.8 0.291 0.443 # 1 - Before Mean+1·SD 0.363 0.0466 166.7 0.271 0.455 # 2 - After Mean+1·SD 0.300 0.0467 167.7 0.208 0.392 # ───────────────────────────────────────────────────────────────────────── # Note. Estimated means are estimated keeping constant other # independent variable(s) in the model to the mean # #