====================================================== === backfitting fixed effects === ====================================================== setting REML to FALSE processing model terms of interaction level 2 iteration 1 p-value for term "Semester:Sex" = 0.8231 >= 0.05 not part of higher-order interaction BIC simple = 244; BIC complex = 249; decrease = -5 < 5 removing term iteration 2 p-value for term "Repeated:Sex" = 0.461 >= 0.05 not part of higher-order interaction BIC simple = 240; BIC complex = 244; decrease = -4 < 5 removing term iteration 3 p-value for term "Rater:Sex" = 0.1411 >= 0.05 not part of higher-order interaction BIC simple = 237; BIC complex = 240; decrease = -3 < 5 removing term processing model terms of interaction level 1 iteration 4 p-value for term "Sex" = 0.5127 >= 0.05 not part of higher-order interaction BIC simple = 233; BIC complex = 237; decrease = -4 < 5 removing term iteration 5 p-value for term "Repeated" = 0.4612 >= 0.05 not part of higher-order interaction BIC simple = 229; BIC complex = 233; decrease = -4 < 5 removing term iteration 6 p-value for term "Semester" = 0.427 >= 0.05 not part of higher-order interaction BIC simple = 224; BIC complex = 229; decrease = -4 < 5 removing term iteration 7 p-value for term "Rater" = 0.1805 >= 0.05 not part of higher-order interaction BIC simple = 221; BIC complex = 224; decrease = -3 < 5 removing term pruning random effects structure ... nothing to prune ====================================================== === forwardfitting random effects === ====================================================== === random slopes === ====================================================== === re-backfitting fixed effects === ====================================================== setting REML to FALSE nothing to evaluate: model has only an intercept. printing model fixed effects: nothing to evaluate: model has only an intercept. printing model fixed effects: ====================================================== === backfitting fixed effects === ====================================================== setting REML to FALSE processing model terms of interaction level 2 iteration 1 p-value for term "Semester:Sex" = 0.8231 >= 0.05 not part of higher-order interaction AIC simple = 219; AIC complex = 221; decrease = -2 < 5 removing term iteration 2 p-value for term "Repeated:Sex" = 0.461 >= 0.05 not part of higher-order interaction AIC simple = 218; AIC complex = 219; decrease = -1 < 5 removing term iteration 3 p-value for term "Rater:Sex" = 0.1411 >= 0.05 not part of higher-order interaction AIC simple = 218; AIC complex = 218; decrease = 0 < 5 removing term processing model terms of interaction level 1 iteration 4 p-value for term "Sex" = 0.5127 >= 0.05 not part of higher-order interaction AIC simple = 216; AIC complex = 218; decrease = -2 < 5 removing term iteration 5 p-value for term "Repeated" = 0.4612 >= 0.05 not part of higher-order interaction AIC simple = 215; AIC complex = 216; decrease = -1 < 5 removing term iteration 6 p-value for term "Semester" = 0.427 >= 0.05 not part of higher-order interaction AIC simple = 213; AIC complex = 215; decrease = -1 < 5 removing term iteration 7 p-value for term "Rater" = 0.1805 >= 0.05 not part of higher-order interaction AIC simple = 213; AIC complex = 213; decrease = 0 < 5 removing term pruning random effects structure ... nothing to prune ====================================================== === forwardfitting random effects === ====================================================== === random slopes === ====================================================== === re-backfitting fixed effects === ====================================================== setting REML to FALSE nothing to evaluate: model has only an intercept. printing model fixed effects: nothing to evaluate: model has only an intercept. printing model fixed effects: ====================================================== === backfitting fixed effects === ====================================================== setting REML to FALSE processing model terms of interaction level 2 iteration 1 p-value for term "Semester:Sex" = 0.8231 >= 0.05 not part of higher-order interaction BIC simple = 244; BIC complex = 249; decrease = -5 < 5 removing term iteration 2 p-value for term "Repeated:Sex" = 0.461 >= 0.05 not part of higher-order interaction BIC simple = 240; BIC complex = 244; decrease = -4 < 5 removing term iteration 3 p-value for term "Rater:Sex" = 0.1411 >= 0.05 not part of higher-order interaction BIC simple = 237; BIC complex = 240; decrease = -3 < 5 removing term processing model terms of interaction level 1 iteration 4 p-value for term "Sex" = 0.5127 >= 0.05 not part of higher-order interaction BIC simple = 233; BIC complex = 237; decrease = -4 < 5 removing term iteration 5 p-value for term "Repeated" = 0.4612 >= 0.05 not part of higher-order interaction BIC simple = 229; BIC complex = 233; decrease = -4 < 5 removing term iteration 6 p-value for term "Semester" = 0.427 >= 0.05 not part of higher-order interaction BIC simple = 224; BIC complex = 229; decrease = -4 < 5 removing term iteration 7 p-value for term "Rater" = 0.1805 >= 0.05 not part of higher-order interaction BIC simple = 221; BIC complex = 224; decrease = -3 < 5 removing term pruning random effects structure ... nothing to prune ====================================================== === forwardfitting random effects === ====================================================== evaluating addition of (Rater|Semester) to model log-likelihood ratio test p-value = 0.9790166 not adding (Rater|Semester) to model ====================================================== === re-backfitting fixed effects === ====================================================== setting REML to FALSE nothing to evaluate: model has only an intercept. printing model fixed effects: nothing to evaluate: model has only an intercept. printing model fixed effects: ====================================================== === backfitting fixed effects === ====================================================== setting REML to FALSE processing model terms of interaction level 1 iteration 1 p-value for term "Sex" = 0.5127 >= 0.05 not part of higher-order interaction AIC simple = 216; AIC complex = 218; decrease = -2 < 5 removing term iteration 2 p-value for term "Repeated" = 0.4612 >= 0.05 not part of higher-order interaction AIC simple = 215; AIC complex = 216; decrease = -1 < 5 removing term iteration 3 p-value for term "Semester" = 0.427 >= 0.05 not part of higher-order interaction AIC simple = 213; AIC complex = 215; decrease = -1 < 5 removing term iteration 4 p-value for term "Rater" = 0.1805 >= 0.05 not part of higher-order interaction AIC simple = 213; AIC complex = 213; decrease = 0 < 5 removing term pruning random effects structure ... nothing to prune ====================================================== === forwardfitting random effects === ====================================================== === random slopes === ====================================================== === re-backfitting fixed effects === ====================================================== setting REML to FALSE nothing to evaluate: model has only an intercept. printing model fixed effects: nothing to evaluate: model has only an intercept. printing model fixed effects: Data: RsrchQ.ratings.all Models: mlm0_RsrchQ: Rating ~ 1 + (1 | Artifact) mlm2_RsrchQ: Rating ~ 1 + (Semester + Rater + Repeated) + Sex + (1 | Artifact) mlm1_RsrchQ: Rating ~ 1 + (Semester + Rater + Repeated) * Sex + (1 | Artifact) npar AIC BIC logLik deviance Chisq Df Pr(>Chisq) mlm0_RsrchQ 3 213.19 221.48 -103.60 207.19 mlm2_RsrchQ 7 217.85 237.18 -101.92 203.85 3.3470 4 0.5015 mlm1_RsrchQ 10 221.08 248.70 -100.54 201.08 2.7691 3 0.4286 [1] "mlm0_RsrchQ" "mlm1_RsrchQ" "mlm2_RsrchQ" [4] "RsrchQ.ratings.13" "RsrchQ.ratings.all" "tall" Linear mixed model fit by REML ['lmerMod'] Formula: Rating ~ 1 + Rater + Repeated + Semester + Sex + (1 | Artifact) Data: RsrchQ.ratings.full REML criterion at convergence: 218.4 Scaled residuals: Min 1Q Median 3Q Max -2.2985 -0.5894 -0.3555 0.8859 2.3743 Random effects: Groups Name Variance Std.Dev. Artifact (Intercept) 0.07618 0.2760 Residual 0.27819 0.5274 Number of obs: 117, groups: Artifact, 91 Fixed effects: Estimate Std. Error t value (Intercept) 2.56186 0.16354 15.665 Rater -0.08294 0.06459 -1.284 Repeated -0.09479 0.13292 -0.713 SemesterS19 0.06542 0.13280 0.493 SexM -0.07416 0.12186 -0.609 Correlation of Fixed Effects: (Intr) Rater Repetd SmsS19 Rater -0.781 Repeated -0.233 0.002 SemesterS19 -0.361 0.012 0.083 SexM -0.368 -0.038 0.002 0.281 ====================================================== === backfitting fixed effects === ====================================================== setting REML to FALSE processing model terms of interaction level 1 all terms of interaction level 1 significant pruning random effects structure ... nothing to prune ====================================================== === forwardfitting random effects === ====================================================== evaluating addition of (1|Artifact) to model ====================================================== === backfitting fixed effects === ====================================================== setting REML to FALSE processing model terms of interaction level 1 all terms of interaction level 1 significant pruning random effects structure ... nothing to prune ====================================================== === forwardfitting random effects === ====================================================== evaluating addition of (1|Artifact) to model Data: RsrchQ.ratings.full Models: RsrchQ.lmer.0: Rating ~ 1 + (1 | Artifact) RsrchQ.lmer.fixed: Rating ~ 1 + Rater + Repeated + Semester + Sex + (1 | Artifact) npar AIC BIC logLik deviance Chisq Df Pr(>Chisq) RsrchQ.lmer.0 3 213.19 221.48 -103.60 207.19 RsrchQ.lmer.fixed 7 217.85 237.18 -101.92 203.85 3.347 4 0.5015 ====================================================== === backfitting fixed effects === ====================================================== setting REML to FALSE processing model terms of interaction level 1 iteration 1 p-value for term "Sex" = 0.5127 >= 0.05 not part of higher-order interaction BIC simple = 233; BIC complex = 237; decrease = -4 < 5 removing term iteration 2 p-value for term "Semester" = 0.4866 >= 0.05 not part of higher-order interaction BIC simple = 229; BIC complex = 233; decrease = -4 < 5 removing term iteration 3 p-value for term "Repeated" = 0.4224 >= 0.05 not part of higher-order interaction BIC simple = 224; BIC complex = 229; decrease = -4 < 5 removing term iteration 4 p-value for term "Rater" = 0.1805 >= 0.05 not part of higher-order interaction BIC simple = 221; BIC complex = 224; decrease = -3 < 5 removing term pruning random effects structure ... nothing to prune ====================================================== === forwardfitting random effects === ====================================================== evaluating addition of (1|Artifact) to model