Construal Level International Multilab Replication (CLIMR) Project: Analysis of Positive and Negative Affect (PANAS)
CLIMR Team 2025-01-07
lrt_panas_temporal## Data: data_bif_temporal %>% filter(complete.cases(panas_pos, panas_neg))
## Models:
## glmm_temporal_panas_base: bif ~ condition + (1 | lab:sub) + (1 | lab) + (1 | item)
## glmm_temporal_panas_add: bif ~ condition + panas_pos + panas_neg + (1 | lab:sub) + (1 | lab) + (1 | item)
## glmm_temporal_panas_int: bif ~ condition * panas_pos + condition * panas_neg + (1 | lab:sub) + (1 | lab) + (1 | item)
## npar AIC BIC logLik deviance Chisq Df Pr(>Chisq)
## glmm_temporal_panas_base 5 67863 67907 -33926 67853
## glmm_temporal_panas_add 7 67765 67828 -33876 67751 101.4456 2 <2e-16 ***
## glmm_temporal_panas_int 9 67769 67849 -33875 67751 0.2364 2 0.8885
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
summary(glmm_temporal_panas_base)## Generalized linear mixed model fit by maximum likelihood (Laplace Approximation) ['glmerMod']
## Family: binomial ( logit )
## Formula: bif ~ condition + (1 | lab:sub) + (1 | lab) + (1 | item)
## Data: data_bif_temporal %>% filter(complete.cases(panas_pos, panas_neg))
##
## AIC BIC logLik deviance df.resid
## 67862.6 67907.2 -33926.3 67852.6 54981
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -3.4433 -0.7808 -0.2978 0.7886 4.8177
##
## Random effects:
## Groups Name Variance Std.Dev.
## lab:sub (Intercept) 0.76711 0.8758
## lab (Intercept) 0.08651 0.2941
## item (Intercept) 0.44377 0.6662
## Number of obs: 54986, groups: lab:sub, 2894; lab, 78; item, 19
##
## Fixed effects:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) -0.14176 0.15872 -0.893 0.3718
## conditiondistant 0.08888 0.03786 2.348 0.0189 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr)
## condtndstnt -0.119
summary(glmm_temporal_panas_add)## Generalized linear mixed model fit by maximum likelihood (Laplace Approximation) ['glmerMod']
## Family: binomial ( logit )
## Formula: bif ~ condition + panas_pos + panas_neg + (1 | lab:sub) + (1 | lab) + (1 | item)
## Data: data_bif_temporal %>% filter(complete.cases(panas_pos, panas_neg))
##
## AIC BIC logLik deviance df.resid
## 67765.2 67827.6 -33875.6 67751.2 54979
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -3.5913 -0.7812 -0.2985 0.7891 4.7598
##
## Random effects:
## Groups Name Variance Std.Dev.
## lab:sub (Intercept) 0.73449 0.857
## lab (Intercept) 0.06866 0.262
## item (Intercept) 0.44357 0.666
## Number of obs: 54986, groups: lab:sub, 2894; lab, 78; item, 19
##
## Fixed effects:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) -0.13811 0.15810 -0.874 0.3824
## conditiondistant 0.08368 0.03726 2.246 0.0247 *
## panas_pos 0.25727 0.02582 9.963 <2e-16 ***
## panas_neg 0.01346 0.02636 0.511 0.6097
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) cndtnd pns_ps
## condtndstnt -0.118
## panas_pos 0.001 -0.012
## panas_neg 0.002 -0.005 -0.141
summary(glmm_temporal_panas_int)## Generalized linear mixed model fit by maximum likelihood (Laplace Approximation) ['glmerMod']
## Family: binomial ( logit )
## Formula: bif ~ condition * panas_pos + condition * panas_neg + (1 | lab:sub) + (1 | lab) + (1 | item)
## Data: data_bif_temporal %>% filter(complete.cases(panas_pos, panas_neg))
##
## AIC BIC logLik deviance df.resid
## 67768.9 67849.2 -33875.5 67750.9 54977
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -3.5965 -0.7813 -0.2986 0.7891 4.7663
##
## Random effects:
## Groups Name Variance Std.Dev.
## lab:sub (Intercept) 0.73444 0.8570
## lab (Intercept) 0.06862 0.2619
## item (Intercept) 0.44359 0.6660
## Number of obs: 54986, groups: lab:sub, 2894; lab, 78; item, 19
##
## Fixed effects:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) -0.13820 0.15801 -0.875 0.3818
## conditiondistant 0.08370 0.03726 2.246 0.0247 *
## panas_pos 0.24802 0.03619 6.853 7.24e-12 ***
## panas_neg 0.02368 0.03735 0.634 0.5261
## conditiondistant:panas_pos 0.01794 0.05029 0.357 0.7213
## conditiondistant:panas_neg -0.01963 0.05165 -0.380 0.7039
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) cndtnd pns_ps pns_ng cndtndstnt:pns_p
## condtndstnt -0.118
## panas_pos 0.002 -0.009
## panas_neg 0.001 -0.003 -0.166
## cndtndstnt:pns_p -0.001 0.000 -0.700 0.118
## cndtndstnt:pns_n 0.001 0.000 0.119 -0.708 -0.146
lrt_panas_val_temporal## Data: data_bif_temporal %>% filter(complete.cases(panas_pos, panas_neg))
## Models:
## glmm_temporal_panas_add: bif ~ condition + panas_pos + panas_neg + (1 | lab:sub) + (1 | lab) + (1 | item)
## glmm_temporal_panas_val: bif ~ condition + panas_pos * d + panas_neg + (1 | lab:sub) + (1 | lab) + (1 | item)
## npar AIC BIC logLik deviance Chisq Df Pr(>Chisq)
## glmm_temporal_panas_add 7 67765 67828 -33876 67751
## glmm_temporal_panas_val 9 67752 67833 -33867 67734 16.813 2 0.0002234 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
summary(glmm_temporal_panas_val)## Generalized linear mixed model fit by maximum likelihood (Laplace Approximation) ['glmerMod']
## Family: binomial ( logit )
## Formula: bif ~ condition + panas_pos * d + panas_neg + (1 | lab:sub) + (1 | lab) + (1 | item)
## Data: data_bif_temporal %>% filter(complete.cases(panas_pos, panas_neg))
##
## AIC BIC logLik deviance df.resid
## 67752.4 67832.6 -33867.2 67734.4 54977
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -3.5910 -0.7815 -0.2984 0.7889 4.7683
##
## Random effects:
## Groups Name Variance Std.Dev.
## lab:sub (Intercept) 0.73451 0.8570
## lab (Intercept) 0.06858 0.2619
## item (Intercept) 0.18226 0.4269
## Number of obs: 54986, groups: lab:sub, 2894; lab, 78; item, 19
##
## Fixed effects:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) -1.255605 0.240513 -5.221 1.78e-07 ***
## conditiondistant 0.083687 0.037263 2.246 0.0247 *
## panas_pos 0.252740 0.039472 6.403 1.52e-10 ***
## d 1.310195 0.252891 5.181 2.21e-07 ***
## panas_neg 0.013451 0.026357 0.510 0.6098
## panas_pos:d 0.005199 0.034239 0.152 0.8793
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) cndtnd pns_ps d pns_ng
## condtndstnt -0.078
## panas_pos -0.003 -0.008
## d -0.898 0.001 0.003
## panas_neg 0.002 -0.005 -0.090 0.000
## panas_pos:d 0.004 0.001 -0.756 -0.003 -0.002
lrt_panas_spatial## Data: data_bif_spatial %>% filter(complete.cases(panas_pos, panas_neg))
## Models:
## glmm_spatial_panas_base: bif ~ condition + (1 | lab:sub) + (1 | lab) + (1 | item)
## glmm_spatial_panas_add: bif ~ condition + panas_pos + panas_neg + (1 | lab:sub) + (1 | lab) + (1 | item)
## glmm_spatial_panas_int: bif ~ condition * panas_pos + condition * panas_neg + (1 | lab:sub) + (1 | lab) + (1 | item)
## npar AIC BIC logLik deviance Chisq Df Pr(>Chisq)
## glmm_spatial_panas_base 5 44807 44849 -22398 44797
## glmm_spatial_panas_add 7 44739 44799 -22363 44725 71.6834 2 2.717e-16 ***
## glmm_spatial_panas_int 9 44743 44820 -22362 44725 0.4081 2 0.8154
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
summary(glmm_spatial_panas_base)## Generalized linear mixed model fit by maximum likelihood (Laplace Approximation) ['glmerMod']
## Family: binomial ( logit )
## Formula: bif ~ condition + (1 | lab:sub) + (1 | lab) + (1 | item)
## Data: data_bif_spatial %>% filter(complete.cases(panas_pos, panas_neg))
##
## AIC BIC logLik deviance df.resid
## 44806.7 44849.4 -22398.3 44796.7 38305
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -3.9592 -0.8228 0.4204 0.6501 2.9781
##
## Random effects:
## Groups Name Variance Std.Dev.
## lab:sub (Intercept) 0.7709 0.8780
## lab (Intercept) 0.0683 0.2613
## item (Intercept) 0.4641 0.6813
## Number of obs: 38310, groups: lab:sub, 2947; lab, 78; item, 13
##
## Fixed effects:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) 0.70168 0.19350 3.626 0.000287 ***
## conditiondistant 0.04563 0.04033 1.131 0.257912
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr)
## condtndstnt -0.104
summary(glmm_spatial_panas_add)## Generalized linear mixed model fit by maximum likelihood (Laplace Approximation) ['glmerMod']
## Family: binomial ( logit )
## Formula: bif ~ condition + panas_pos + panas_neg + (1 | lab:sub) + (1 | lab) + (1 | item)
## Data: data_bif_spatial %>% filter(complete.cases(panas_pos, panas_neg))
##
## AIC BIC logLik deviance df.resid
## 44739.0 44798.9 -22362.5 44725.0 38303
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -4.0274 -0.8185 0.4210 0.6501 2.9922
##
## Random effects:
## Groups Name Variance Std.Dev.
## lab:sub (Intercept) 0.7436 0.8623
## lab (Intercept) 0.0642 0.2534
## item (Intercept) 0.4641 0.6813
## Number of obs: 38310, groups: lab:sub, 2947; lab, 78; item, 13
##
## Fixed effects:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) 0.69498 0.19331 3.595 0.000324 ***
## conditiondistant 0.05545 0.03989 1.390 0.164512
## panas_pos 0.23032 0.02709 8.502 < 2e-16 ***
## panas_neg -0.02647 0.02992 -0.885 0.376265
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) cndtnd pns_ps
## condtndstnt -0.103
## panas_pos -0.002 0.030
## panas_neg 0.004 -0.016 -0.177
summary(glmm_spatial_panas_int)## Generalized linear mixed model fit by maximum likelihood (Laplace Approximation) ['glmerMod']
## Family: binomial ( logit )
## Formula: bif ~ condition * panas_pos + condition * panas_neg + (1 | lab:sub) + (1 | lab) + (1 | item)
## Data: data_bif_spatial %>% filter(complete.cases(panas_pos, panas_neg))
##
## AIC BIC logLik deviance df.resid
## 44742.6 44819.6 -22362.3 44724.6 38301
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -4.0312 -0.8187 0.4207 0.6505 3.0012
##
## Random effects:
## Groups Name Variance Std.Dev.
## lab:sub (Intercept) 0.74343 0.8622
## lab (Intercept) 0.06412 0.2532
## item (Intercept) 0.46413 0.6813
## Number of obs: 38310, groups: lab:sub, 2947; lab, 78; item, 13
##
## Fixed effects:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) 0.69490 0.19327 3.596 0.000324 ***
## conditiondistant 0.05568 0.03989 1.396 0.162779
## panas_pos 0.22336 0.03719 6.007 1.9e-09 ***
## panas_neg -0.04115 0.04144 -0.993 0.320780
## conditiondistant:panas_pos 0.01516 0.05327 0.285 0.775946
## conditiondistant:panas_neg 0.03012 0.05862 0.514 0.607380
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) cndtnd pns_ps pns_ng cndtndstnt:pns_p
## condtndstnt -0.103
## panas_pos -0.002 0.011
## panas_neg 0.003 -0.010 -0.191
## cndtndstnt:pns_p 0.001 0.017 -0.685 0.129
## cndtndstnt:pns_n -0.001 -0.002 0.137 -0.692 -0.180
lrt_panas_val_spatial## Data: data_bif_spatial %>% filter(complete.cases(panas_pos, panas_neg))
## Models:
## glmm_spatial_panas_add: bif ~ condition + panas_pos + panas_neg + (1 | lab:sub) + (1 | lab) + (1 | item)
## glmm_spatial_panas_val: bif ~ condition + panas_pos * d + panas_neg + (1 | lab:sub) + (1 | lab) + (1 | item)
## npar AIC BIC logLik deviance Chisq Df Pr(>Chisq)
## glmm_spatial_panas_add 7 44739 44799 -22363 44725
## glmm_spatial_panas_val 9 44726 44802 -22354 44708 17.477 2 0.0001603 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
summary(glmm_spatial_panas_val)## Generalized linear mixed model fit by maximum likelihood (Laplace Approximation) ['glmerMod']
## Family: binomial ( logit )
## Formula: bif ~ condition + panas_pos * d + panas_neg + (1 | lab:sub) + (1 | lab) + (1 | item)
## Data: data_bif_spatial %>% filter(complete.cases(panas_pos, panas_neg))
##
## AIC BIC logLik deviance df.resid
## 44725.5 44802.5 -22353.8 44707.5 38301
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -4.0433 -0.8196 0.4198 0.6517 2.9699
##
## Random effects:
## Groups Name Variance Std.Dev.
## lab:sub (Intercept) 0.74417 0.8627
## lab (Intercept) 0.06424 0.2535
## item (Intercept) 0.22814 0.4776
## Number of obs: 38310, groups: lab:sub, 2947; lab, 78; item, 13
##
## Fixed effects:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) -0.62615 0.38519 -1.626 0.104039
## conditiondistant 0.05536 0.03990 1.387 0.165318
## panas_pos 0.11186 0.04898 2.284 0.022373 *
## d 1.42814 0.38847 3.676 0.000237 ***
## panas_neg -0.02661 0.02993 -0.889 0.373952
## panas_pos:d 0.13406 0.04605 2.911 0.003598 **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) cndtnd pns_ps d pns_ng
## condtndstnt -0.052
## panas_pos 0.001 0.017
## d -0.933 0.000 -0.003
## panas_neg 0.002 -0.016 -0.097 0.000
## panas_pos:d -0.004 -0.001 -0.833 0.005 -0.002
lrt_panas_social## Data: data_bif_social %>% filter(complete.cases(panas_pos, panas_neg))
## Models:
## glmm_social_panas_base: bif ~ condition + (1 | lab:sub) + (1 | lab) + (1 | item)
## glmm_social_panas_add: bif ~ condition + panas_pos + panas_neg + (1 | lab:sub) + (1 | lab) + (1 | item)
## glmm_social_panas_int: bif ~ condition * panas_pos + condition * panas_neg + (1 | lab:sub) + (1 | lab) + (1 | item)
## npar AIC BIC logLik deviance Chisq Df Pr(>Chisq)
## glmm_social_panas_base 5 88050 88096 -44020 88040
## glmm_social_panas_add 7 87991 88055 -43988 87977 63.2773 2 1.818e-14 ***
## glmm_social_panas_int 9 87987 88069 -43984 87969 8.1441 2 0.01704 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
summary(glmm_social_panas_base)## Generalized linear mixed model fit by maximum likelihood (Laplace Approximation) ['glmerMod']
## Family: binomial ( logit )
## Formula: bif ~ condition + (1 | lab:sub) + (1 | lab) + (1 | item)
## Data: data_bif_social %>% filter(complete.cases(panas_pos, panas_neg))
##
## AIC BIC logLik deviance df.resid
## 88050.1 88096.1 -44020.1 88040.1 72395
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -3.1800 -0.7248 -0.4335 0.8742 5.3226
##
## Random effects:
## Groups Name Variance Std.Dev.
## lab:sub (Intercept) 0.85462 0.9245
## lab (Intercept) 0.04701 0.2168
## item (Intercept) 0.21245 0.4609
## Number of obs: 72400, groups: lab:sub, 2897; lab, 78; item, 25
##
## Fixed effects:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) -0.38044 0.09948 -3.824 0.000131 ***
## conditiondistant -0.27694 0.03841 -7.209 5.62e-13 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr)
## condtndstnt -0.192
summary(glmm_social_panas_add)## Generalized linear mixed model fit by maximum likelihood (Laplace Approximation) ['glmerMod']
## Family: binomial ( logit )
## Formula: bif ~ condition + panas_pos + panas_neg + (1 | lab:sub) + (1 | lab) + (1 | item)
## Data: data_bif_social %>% filter(complete.cases(panas_pos, panas_neg))
##
## AIC BIC logLik deviance df.resid
## 87990.9 88055.2 -43988.4 87976.9 72393
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -3.2211 -0.7243 -0.4329 0.8731 5.0535
##
## Random effects:
## Groups Name Variance Std.Dev.
## lab:sub (Intercept) 0.83164 0.9119
## lab (Intercept) 0.04198 0.2049
## item (Intercept) 0.21240 0.4609
## Number of obs: 72400, groups: lab:sub, 2897; lab, 78; item, 25
##
## Fixed effects:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) -0.38574 0.09908 -3.893 9.90e-05 ***
## conditiondistant -0.26693 0.03804 -7.017 2.27e-12 ***
## panas_pos 0.18300 0.02509 7.294 3.01e-13 ***
## panas_neg 0.06879 0.02822 2.438 0.0148 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) cndtnd pns_ps
## condtndstnt -0.191
## panas_pos -0.012 0.045
## panas_neg 0.009 -0.029 -0.115
summary(glmm_social_panas_int)## Generalized linear mixed model fit by maximum likelihood (Laplace Approximation) ['glmerMod']
## Family: binomial ( logit )
## Formula: bif ~ condition * panas_pos + condition * panas_neg + (1 | lab:sub) + (1 | lab) + (1 | item)
## Data: data_bif_social %>% filter(complete.cases(panas_pos, panas_neg))
##
## AIC BIC logLik deviance df.resid
## 87986.7 88069.4 -43984.4 87968.7 72391
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -3.2599 -0.7239 -0.4333 0.8730 5.1169
##
## Random effects:
## Groups Name Variance Std.Dev.
## lab:sub (Intercept) 0.82843 0.9102
## lab (Intercept) 0.04224 0.2055
## item (Intercept) 0.21239 0.4609
## Number of obs: 72400, groups: lab:sub, 2897; lab, 78; item, 25
##
## Fixed effects:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) -0.38838 0.09904 -3.921 8.81e-05 ***
## conditiondistant -0.26639 0.03798 -7.013 2.33e-12 ***
## panas_pos 0.25310 0.03518 7.195 6.25e-13 ***
## panas_neg 0.04882 0.03973 1.229 0.21909
## conditiondistant:panas_pos -0.13988 0.04930 -2.837 0.00455 **
## conditiondistant:panas_neg 0.03763 0.05530 0.680 0.49621
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) cndtnd pns_ps pns_ng cndtndstnt:pns_p
## condtndstnt -0.191
## panas_pos -0.015 0.035
## panas_neg 0.012 -0.018 -0.126
## cndtndstnt:pns_p 0.009 -0.005 -0.702 0.087
## cndtndstnt:pns_n -0.008 -0.003 0.088 -0.705 -0.113
lrt_panas_val_social## Data: data_bif_social %>% filter(complete.cases(panas_pos, panas_neg))
## Models:
## glmm_social_panas_int: bif ~ condition * panas_pos + condition * panas_neg + (1 | lab:sub) + (1 | lab) + (1 | item)
## glmm_social_panas_val_int: bif ~ condition * panas_pos + condition * panas_neg + condition * d + (1 | lab:sub) + (1 | lab) + (1 | item)
## glmm_social_panas_val_int_3: bif ~ condition * panas_pos + condition * panas_neg + condition * d * panas_pos + (1 | lab:sub) + (1 | lab) + (1 | item)
## npar AIC BIC logLik deviance Chisq Df Pr(>Chisq)
## glmm_social_panas_int 9 87987 88069 -43984 87969
## glmm_social_panas_val_int 11 87925 88026 -43951 87903 66.0158 2 4.622e-15 ***
## glmm_social_panas_val_int_3 13 87921 88041 -43948 87895 7.3117 2 0.02584 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
summary(glmm_social_panas_val_int)## Generalized linear mixed model fit by maximum likelihood (Laplace Approximation) ['glmerMod']
## Family: binomial ( logit )
## Formula: bif ~ condition * panas_pos + condition * panas_neg + condition * d + (1 | lab:sub) + (1 | lab) + (1 | item)
## Data: data_bif_social %>% filter(complete.cases(panas_pos, panas_neg))
##
## AIC BIC logLik deviance df.resid
## 87924.7 88025.8 -43951.4 87902.7 72389
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -3.3111 -0.7221 -0.4334 0.8706 4.7344
##
## Random effects:
## Groups Name Variance Std.Dev.
## lab:sub (Intercept) 0.83090 0.9115
## lab (Intercept) 0.04229 0.2056
## item (Intercept) 0.11020 0.3320
## Number of obs: 72400, groups: lab:sub, 2897; lab, 78; item, 25
##
## Fixed effects:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) -1.25707 0.17093 -7.354 1.92e-13 ***
## conditiondistant 0.02262 0.05564 0.407 0.68436
## panas_pos 0.25492 0.03525 7.232 4.75e-13 ***
## panas_neg 0.04918 0.03980 1.236 0.21651
## d 1.05415 0.18665 5.648 1.63e-08 ***
## conditiondistant:panas_pos -0.14241 0.04938 -2.884 0.00392 **
## conditiondistant:panas_neg 0.03687 0.05537 0.666 0.50540
## conditiondistant:d -0.34199 0.04816 -7.102 1.23e-12 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) cndtnd pns_ps pns_ng d cndtndstnt:pns_p cndtndstnt:pns_n
## condtndstnt -0.163
## panas_pos -0.011 0.030
## panas_neg 0.006 -0.012 -0.126
## d -0.897 0.094 0.002 0.001
## cndtndstnt:pns_p 0.007 -0.008 -0.702 0.088 -0.002
## cndtndstnt:pns_n -0.004 -0.003 0.089 -0.705 -0.001 -0.113
## cndtndstnt: 0.119 -0.730 -0.008 -0.001 -0.129 0.007 0.002
summary(glmm_social_panas_val_int_3)## Generalized linear mixed model fit by maximum likelihood (Laplace Approximation) ['glmerMod']
## Family: binomial ( logit )
## Formula: bif ~ condition * panas_pos + condition * panas_neg + condition * d * panas_pos + (1 | lab:sub) + (1 | lab) + (1 | item)
## Data: data_bif_social %>% filter(complete.cases(panas_pos, panas_neg))
## Control: glmerControl(optimizer = "bobyqa")
##
## AIC BIC logLik deviance df.resid
## 87921.4 88040.9 -43947.7 87895.4 72387
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -3.3100 -0.7219 -0.4328 0.8706 4.5760
##
## Random effects:
## Groups Name Variance Std.Dev.
## lab:sub (Intercept) 0.8309 0.9115
## lab (Intercept) 0.0423 0.2057
## item (Intercept) 0.1103 0.3322
## Number of obs: 72400, groups: lab:sub, 2897; lab, 78; item, 25
##
## Fixed effects:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) -1.25753 0.17078 -7.363 1.80e-13 ***
## conditiondistant 0.02345 0.05568 0.421 0.674
## panas_pos 0.25727 0.05100 5.045 4.54e-07 ***
## panas_neg 0.04922 0.03979 1.237 0.216
## d 1.05465 0.18648 5.655 1.55e-08 ***
## conditiondistant:panas_pos -0.04456 0.07171 -0.621 0.534
## conditiondistant:panas_neg 0.03692 0.05534 0.667 0.505
## conditiondistant:d -0.34345 0.04820 -7.125 1.04e-12 ***
## panas_pos:d -0.00282 0.04389 -0.064 0.949
## conditiondistant:panas_pos:d -0.11576 0.06179 -1.873 0.061 .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) cndtnd pns_ps pns_ng d cndtndstnt:pns_p cndtndstnt:pns_n cndtn: pns_p:
## condtndstnt -0.163
## panas_pos -0.017 0.051
## panas_neg 0.006 -0.011 -0.086
## d -0.896 0.094 0.011 0.001
## cndtndstnt:pns_p 0.011 -0.028 -0.705 0.060 -0.007
## cndtndstnt:pns_n -0.004 -0.003 0.061 -0.705 -0.001 -0.077
## cndtndstnt: 0.119 -0.730 -0.042 -0.002 -0.129 0.028 0.002
## panas_pos:d 0.014 -0.042 -0.723 -0.001 -0.013 0.513 0.000 0.050
## cndtndst:_: -0.009 0.029 0.513 0.001 0.009 -0.725 -0.001 -0.031 -0.709
lrt_panas_likelihood## Data: data_bif_likelihood %>% filter(complete.cases(panas_pos, panas_neg))
## Models:
## glmm_likelihood_panas_base: bif ~ condition + (1 | lab:sub) + (1 | lab) + (1 | item)
## glmm_likelihood_panas_add: bif ~ condition + panas_pos + panas_neg + (1 | lab:sub) + (1 | lab) + (1 | item)
## glmm_likelihood_panas_int: bif ~ condition * panas_pos + condition * panas_neg + (1 | lab:sub) + (1 | lab) + (1 | item)
## npar AIC BIC logLik deviance Chisq Df Pr(>Chisq)
## glmm_likelihood_panas_base 5 32343 32384 -16167 32333
## glmm_likelihood_panas_add 7 32303 32361 -16145 32289 44.0495 2 2.721e-10 ***
## glmm_likelihood_panas_int 9 32304 32377 -16143 32286 3.4577 2 0.1775
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
summary(glmm_likelihood_panas_base)## Generalized linear mixed model fit by maximum likelihood (Laplace Approximation) ['glmerMod']
## Family: binomial ( logit )
## Formula: bif ~ condition + (1 | lab:sub) + (1 | lab) + (1 | item)
## Data: data_bif_likelihood %>% filter(complete.cases(panas_pos, panas_neg))
##
## AIC BIC logLik deviance df.resid
## 32343.4 32384.3 -16166.7 32333.4 26023
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -2.8194 -0.8001 0.3319 0.7643 3.0335
##
## Random effects:
## Groups Name Variance Std.Dev.
## lab:sub (Intercept) 0.66774 0.8172
## lab (Intercept) 0.03879 0.1969
## item (Intercept) 0.62155 0.7884
## Number of obs: 26028, groups: lab:sub, 2892; lab, 77; item, 9
##
## Fixed effects:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) -0.008137 0.265424 -0.031 0.976
## conditiondistant 0.055499 0.041272 1.345 0.179
##
## Correlation of Fixed Effects:
## (Intr)
## condtndstnt -0.077
summary(glmm_likelihood_panas_add)## Generalized linear mixed model fit by maximum likelihood (Laplace Approximation) ['glmerMod']
## Family: binomial ( logit )
## Formula: bif ~ condition + panas_pos + panas_neg + (1 | lab:sub) + (1 | lab) + (1 | item)
## Data: data_bif_likelihood %>% filter(complete.cases(panas_pos, panas_neg))
##
## AIC BIC logLik deviance df.resid
## 32303.4 32360.5 -16144.7 32289.4 26021
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -2.9011 -0.7951 0.3337 0.7658 3.1545
##
## Random effects:
## Groups Name Variance Std.Dev.
## lab:sub (Intercept) 0.6521 0.8075
## lab (Intercept) 0.0313 0.1769
## item (Intercept) 0.6215 0.7883
## Number of obs: 26028, groups: lab:sub, 2892; lab, 77; item, 9
##
## Fixed effects:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) -0.006934 0.265247 -0.026 0.979
## conditiondistant 0.053377 0.041011 1.302 0.193
## panas_pos 0.171062 0.027054 6.323 2.57e-10 ***
## panas_neg 0.038228 0.031082 1.230 0.219
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) cndtnd pns_ps
## condtndstnt -0.077
## panas_pos 0.000 -0.004
## panas_neg 0.003 -0.008 -0.141
summary(glmm_likelihood_panas_int)## Generalized linear mixed model fit by maximum likelihood (Laplace Approximation) ['glmerMod']
## Family: binomial ( logit )
## Formula: bif ~ condition * panas_pos + condition * panas_neg + (1 | lab:sub) + (1 | lab) + (1 | item)
## Data: data_bif_likelihood %>% filter(complete.cases(panas_pos, panas_neg))
##
## AIC BIC logLik deviance df.resid
## 32303.9 32377.4 -16143.0 32285.9 26019
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -2.9156 -0.7940 0.3336 0.7660 3.1728
##
## Random effects:
## Groups Name Variance Std.Dev.
## lab:sub (Intercept) 0.6507 0.8066
## lab (Intercept) 0.0314 0.1772
## item (Intercept) 0.6214 0.7883
## Number of obs: 26028, groups: lab:sub, 2892; lab, 77; item, 9
##
## Fixed effects:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) -0.006271 0.265237 -0.024 0.9811
## conditiondistant 0.053202 0.040988 1.298 0.1943
## panas_pos 0.167954 0.037616 4.465 8.01e-06 ***
## panas_neg 0.094843 0.043463 2.182 0.0291 *
## conditiondistant:panas_pos 0.007423 0.052931 0.140 0.8885
## conditiondistant:panas_neg -0.113651 0.061046 -1.862 0.0626 .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) cndtnd pns_ps pns_ng cndtndstnt:pns_p
## condtndstnt -0.077
## panas_pos 0.000 -0.004
## panas_neg 0.003 -0.007 -0.125
## cndtndstnt:pns_p 0.000 0.001 -0.695 0.085
## cndtndstnt:pns_n -0.001 0.002 0.088 -0.699 -0.139
lrt_panas_val_likelihood## Data: data_bif_likelihood %>% filter(complete.cases(panas_pos, panas_neg))
## Models:
## glmm_likelihood_panas_add: bif ~ condition + panas_pos + panas_neg + (1 | lab:sub) + (1 | lab) + (1 | item)
## glmm_likelihood_panas_val: bif ~ condition + panas_pos * d + panas_neg + (1 | lab:sub) + (1 | lab) + (1 | item)
## npar AIC BIC logLik deviance Chisq Df Pr(>Chisq)
## glmm_likelihood_panas_add 7 32303 32361 -16145 32289
## glmm_likelihood_panas_val 9 32292 32366 -16137 32274 15.099 2 0.0005263 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
summary(glmm_likelihood_panas_val)## Generalized linear mixed model fit by maximum likelihood (Laplace Approximation) ['glmerMod']
## Family: binomial ( logit )
## Formula: bif ~ condition + panas_pos * d + panas_neg + (1 | lab:sub) + (1 | lab) + (1 | item)
## Data: data_bif_likelihood %>% filter(complete.cases(panas_pos, panas_neg))
##
## AIC BIC logLik deviance df.resid
## 32292.3 32365.8 -16137.1 32274.3 26019
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -2.8686 -0.7964 0.3357 0.7645 3.2166
##
## Random effects:
## Groups Name Variance Std.Dev.
## lab:sub (Intercept) 0.65235 0.8077
## lab (Intercept) 0.03122 0.1767
## item (Intercept) 0.12607 0.3551
## Number of obs: 26028, groups: lab:sub, 2892; lab, 77; item, 9
##
## Fixed effects:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) -1.23633 0.24234 -5.102 3.37e-07 ***
## conditiondistant 0.05340 0.04102 1.302 0.193
## panas_pos 0.20195 0.04286 4.712 2.46e-06 ***
## d 1.62753 0.27589 5.899 3.65e-09 ***
## panas_neg 0.03828 0.03108 1.232 0.218
## panas_pos:d -0.04018 0.04329 -0.928 0.353
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) cndtnd pns_ps d pns_ng
## condtndstnt -0.085
## panas_pos -0.006 -0.002
## d -0.860 0.001 0.004
## panas_neg 0.003 -0.008 -0.088 0.001
## panas_pos:d 0.005 -0.001 -0.776 -0.003 -0.002