1. prepare codes and consolidated variables
##
## -3 -2 -1 0 1 2 3
## 372 262 278 711 1057 1354 2175
##
## -3 -2 -1 0 1 2 3
## 377 291 355 795 1025 1304 2074
2. original analyses
introspection screen questions
spread screen ~ condition + policy condition
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: spread ~ cond_cc + policy_condition_cc + (1 | country_names)
## Data: sg
##
## REML criterion at convergence: 24430.8
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -2.9305 -0.3821 0.3091 0.8330 1.4418
##
## Random effects:
## Groups Name Variance Std.Dev.
## country_names (Intercept) 0.2105 0.4588
## Residual 2.9776 1.7256
## Number of obs: 6209, groups: country_names, 7
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 1.329e+00 1.749e-01 5.973e+00 7.600 0.000276 ***
## cond_cc 8.546e-02 4.381e-02 6.200e+03 1.951 0.051156 .
## policy_condition_cc 2.279e-02 6.373e-02 6.200e+03 0.358 0.720641
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) cnd_cc
## cond_cc 0.000
## plcy_cndtn_ 0.001 -0.007
## [1] 1.391121
## [1] 1.306116
## Warning: Removed 2122 rows containing non-finite values (stat_summary).
## Warning: Removed 2122 rows containing non-finite values (stat_summary).
experience symptoms screen ~ condition + policy condition
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: expSymptoms ~ cond_cc + policy_condition_cc + (1 | country)
## Data: sg
##
## REML criterion at convergence: 24766.1
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -2.7145 -0.5426 0.2792 0.8497 1.3977
##
## Random effects:
## Groups Name Variance Std.Dev.
## country (Intercept) 0.137 0.3701
## Residual 3.120 1.7664
## Number of obs: 6221, groups: country, 7
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 1.225e+00 1.418e-01 5.967e+00 8.639 0.000137 ***
## cond_cc 1.334e-01 4.481e-02 6.212e+03 2.978 0.002915 **
## policy_condition_cc 6.193e-02 6.521e-02 6.213e+03 0.950 0.342263
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) cnd_cc
## cond_cc 0.001
## plcy_cndtn_ 0.001 -0.006
## [1] 1.316591
## [1] 1.187879
## Warning: Removed 2110 rows containing non-finite values (stat_summary).
## Warning: Removed 2110 rows containing non-finite values (stat_summary).
judgment
going to party ~ condition + policy condition
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: partyLikely ~ cond_cc + policy_condition_cc + (1 | country)
## Data: sg
##
## REML criterion at convergence: 25313.5
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -1.4243 -0.7702 -0.3601 0.7186 2.7295
##
## Random effects:
## Groups Name Variance Std.Dev.
## country (Intercept) 0.1985 0.4455
## Residual 3.3910 1.8415
## Number of obs: 6228, groups: country, 7
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) -1.30152 0.17009 5.99486 -7.652 0.000261 ***
## cond_cc -0.25849 0.04669 6219.13755 -5.537 3.21e-08 ***
## policy_condition_cc 0.09012 0.06795 6219.42205 1.326 0.184761
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) cnd_cc
## cond_cc 0.001
## plcy_cndtn_ 0.001 -0.007
## [1] -1.449675
## [1] -1.182656
## Warning: Removed 2103 rows containing non-finite values (stat_summary).
## Warning: Removed 2103 rows containing non-finite values (stat_summary).
risk estimates
if attend party, likelihood catching ~ condition + policy condition
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: contLikely ~ cond_cc + policy_condition_cc + (1 | country)
## Data: sg
##
## REML criterion at convergence: 24288.7
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -2.3018 -0.4985 0.1237 0.7527 1.7562
##
## Random effects:
## Groups Name Variance Std.Dev.
## country (Intercept) 0.1023 0.3198
## Residual 2.8812 1.6974
## Number of obs: 6226, groups: country, 7
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 0.48096 0.12287 5.98960 3.914 0.00788 **
## cond_cc -0.04929 0.04304 6217.21839 -1.145 0.25215
## policy_condition_cc 0.03067 0.06266 6217.64273 0.490 0.62446
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) cnd_cc
## cond_cc 0.001
## plcy_cndtn_ 0.002 -0.007
## [1] 0.4692883
## [1] 0.5258812
## Warning: Removed 2105 rows containing non-finite values (stat_summary).
## Warning: Removed 2105 rows containing non-finite values (stat_summary).
if attend party, likelihood of spreading ~ condition + policy condition
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: spreadLikelihood ~ cond_cc + policy_condition_cc + (1 | country)
## Data: sg
##
## REML criterion at convergence: 25622.6
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -2.3074 -0.5567 0.2450 0.8649 1.3193
##
## Random effects:
## Groups Name Variance Std.Dev.
## country (Intercept) 0.08114 0.2849
## Residual 3.57855 1.8917
## Number of obs: 6223, groups: country, 7
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 9.199e-01 1.104e-01 5.980e+00 8.330 0.000165 ***
## cond_cc 2.143e-03 4.798e-02 6.214e+03 0.045 0.964372
## policy_condition_cc -8.588e-02 6.983e-02 6.215e+03 -1.230 0.218817
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) cnd_cc
## cond_cc 0.001
## plcy_cndtn_ 0.002 -0.006
## [1] 0.9246998
## [1] 0.9245703
## Warning: Removed 2108 rows containing non-finite values (stat_summary).
## Warning: Removed 2108 rows containing non-finite values (stat_summary).
social norms
e. groupLikelihood ~ condition + policy condition
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: groupLikelihood ~ cond_cc + policy_condition_cc + (1 | country)
## Data: sg
##
## REML criterion at convergence: 21030.8
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -1.9198 -0.8345 -0.0684 0.8631 2.3001
##
## Random effects:
## Groups Name Variance Std.Dev.
## country (Intercept) 0.2433 0.4933
## Residual 2.9637 1.7215
## Number of obs: 5351, groups: country, 6
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) -0.16649 0.20283 4.99939 -0.821 0.449
## cond_cc -0.01834 0.04709 5343.07956 -0.389 0.697
## policy_condition_cc 0.08858 0.06875 5343.23810 1.288 0.198
##
## Correlation of Fixed Effects:
## (Intr) cnd_cc
## cond_cc 0.001
## plcy_cndtn_ 0.000 -0.009
## [1] -0.2346939
## [1] -0.2092421
## Warning: Removed 2980 rows containing non-finite values (stat_summary).
## Warning: Removed 2980 rows containing non-finite values (stat_summary).
3. redo analyses controlling for screening questions
judgment
going to party ~ condition + policy condition
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: partyLikely ~ cond_cc + spread + expSymptoms + policy_condition_cc +
## (1 | country)
## Data: sg
##
## REML criterion at convergence: 23891.1
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -2.8386 -0.5878 -0.2950 0.5933 3.2502
##
## Random effects:
## Groups Name Variance Std.Dev.
## country (Intercept) 0.1917 0.4379
## Residual 2.7537 1.6594
## Number of obs: 6192, groups: country, 7
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) -0.67576 0.16775 6.12201 -4.028 0.00661 **
## cond_cc -0.20151 0.04222 6181.13375 -4.773 1.85e-06 ***
## spread -0.31972 0.01821 6185.75251 -17.557 < 2e-16 ***
## expSymptoms -0.16649 0.01780 6182.76802 -9.352 < 2e-16 ***
## policy_condition_cc 0.11193 0.06135 6181.33178 1.824 0.06815 .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) cnd_cc spread expSym
## cond_cc 0.003
## spread -0.048 0.003
## expSymptoms -0.023 -0.027 -0.741
## plcy_cndtn_ 0.002 -0.006 0.005 -0.012
## [1] -1.449675
## [1] -1.182656
## Warning: Removed 2103 rows containing non-finite values (stat_summary).
## Warning: Removed 2103 rows containing non-finite values (stat_summary).
risk estimates
if attend party, likelihood catching ~ condition + policy condition
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: contLikely ~ cond_cc + spread + expSymptoms + policy_condition_cc +
## (1 | country)
## Data: sg
##
## REML criterion at convergence: 22799.8
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -3.1925 -0.6079 0.1088 0.7267 3.0926
##
## Random effects:
## Groups Name Variance Std.Dev.
## country (Intercept) 0.1139 0.3374
## Residual 2.3119 1.5205
## Number of obs: 6190, groups: country, 7
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) -1.082e-01 1.300e-01 6.152e+00 -0.832 0.4363
## cond_cc -9.907e-02 3.869e-02 6.179e+03 -2.561 0.0105 *
## spread 2.173e-01 1.670e-02 6.185e+03 13.017 <2e-16 ***
## expSymptoms 2.447e-01 1.632e-02 6.181e+03 14.991 <2e-16 ***
## policy_condition_cc 9.636e-03 5.624e-02 6.179e+03 0.171 0.8640
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) cnd_cc spread expSym
## cond_cc 0.004
## spread -0.057 0.003
## expSymptoms -0.027 -0.026 -0.742
## plcy_cndtn_ 0.002 -0.006 0.006 -0.012
## [1] 0.4692883
## [1] 0.5258812
## Warning: Removed 2105 rows containing non-finite values (stat_summary).
## Warning: Removed 2105 rows containing non-finite values (stat_summary).
if attend party, likelihood of spreading ~ condition + policy condition
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula:
## spreadLikelihood ~ cond_cc + spread + expSymptoms + policy_condition_cc +
## (1 | country)
## Data: sg
##
## REML criterion at convergence: 24680.8
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -2.7892 -0.5547 0.2144 0.7287 2.4360
##
## Random effects:
## Groups Name Variance Std.Dev.
## country (Intercept) 0.08744 0.2957
## Residual 3.12722 1.7684
## Number of obs: 6194, groups: country, 7
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 0.38810 0.11550 6.27169 3.360 0.0142 *
## cond_cc -0.04093 0.04498 6183.28039 -0.910 0.3629
## spread 0.27634 0.01940 6188.42619 14.245 < 2e-16 ***
## expSymptoms 0.13539 0.01898 6186.75568 7.135 1.08e-12 ***
## policy_condition_cc -0.10319 0.06538 6183.77302 -1.578 0.1146
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) cnd_cc spread expSym
## cond_cc 0.005
## spread -0.074 0.004
## expSymptoms -0.036 -0.026 -0.741
## plcy_cndtn_ 0.003 -0.006 0.006 -0.012
## [1] 0.9246998
## [1] 0.9245703
## Warning: Removed 2108 rows containing non-finite values (stat_summary).
## Warning: Removed 2108 rows containing non-finite values (stat_summary).
social norms
e. groupLikelihood ~ condition + policy condition
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula:
## groupLikelihood ~ cond_cc + spread + expSymptoms + policy_condition_cc +
## (1 | country)
## Data: sg
##
## REML criterion at convergence: 20885.5
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -2.20368 -0.78627 -0.05116 0.84520 2.40663
##
## Random effects:
## Groups Name Variance Std.Dev.
## country (Intercept) 0.2518 0.5018
## Residual 2.9380 1.7141
## Number of obs: 5323, groups: country, 6
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) -0.04069 0.20710 5.07877 -0.196 0.851845
## cond_cc -0.01079 0.04704 5313.09366 -0.229 0.818636
## spread -0.07264 0.02024 5316.92111 -3.588 0.000336 ***
## expSymptoms -0.02327 0.01962 5314.11123 -1.186 0.235729
## policy_condition_cc 0.08857 0.06857 5313.21713 1.292 0.196538
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) cnd_cc spread expSym
## cond_cc 0.003
## spread -0.046 0.002
## expSymptoms -0.018 -0.028 -0.741
## plcy_cndtn_ 0.000 -0.008 0.011 -0.012
## [1] -0.2346939
## [1] -0.2092421
## Warning: Removed 2980 rows containing non-finite values (stat_summary).
## Warning: Removed 2980 rows containing non-finite values (stat_summary).
4. 2 df test, avg of screening questions ONLY for judgment
next meeting analyses: include introspection ratings and interact with conditions
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: partyLikely ~ cond_cc * avg_screen + policy_condition_cc + (1 |
## country)
## Data: sg
##
## REML criterion at convergence: 23909.3
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -2.7769 -0.5831 -0.2833 0.5676 3.2599
##
## Random effects:
## Groups Name Variance Std.Dev.
## country (Intercept) 0.1936 0.440
## Residual 2.7621 1.662
## Number of obs: 6192, groups: country, 7
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) -0.68475 0.16854 6.11912 -4.063 0.00636 **
## cond_cc -0.15399 0.05370 6181.17121 -2.867 0.00415 **
## avg_screen -0.48476 0.01299 6186.95486 -37.322 < 2e-16 ***
## policy_condition_cc 0.11485 0.06145 6181.32987 1.869 0.06164 .
## cond_cc:avg_screen -0.03411 0.02542 6181.48841 -1.342 0.17971
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) cnd_cc avg_sc plcy__
## cond_cc 0.007
## avg_screen -0.099 -0.044
## plcy_cndtn_ 0.002 -0.002 -0.009
## cnd_cc:vg_s -0.007 -0.617 0.031 -0.004
next meeting analyses: do 2 df test with screen #1 and #2
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: partyLikely ~ cond_cc + spread + expSymptoms + policy_condition_cc +
## (1 | country)
## Data: sg
##
## REML criterion at convergence: 23891.1
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -2.8386 -0.5878 -0.2950 0.5933 3.2502
##
## Random effects:
## Groups Name Variance Std.Dev.
## country (Intercept) 0.1917 0.4379
## Residual 2.7537 1.6594
## Number of obs: 6192, groups: country, 7
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) -0.67576 0.16775 6.12201 -4.028 0.00661 **
## cond_cc -0.20151 0.04222 6181.13375 -4.773 1.85e-06 ***
## spread -0.31972 0.01821 6185.75251 -17.557 < 2e-16 ***
## expSymptoms -0.16649 0.01780 6182.76802 -9.352 < 2e-16 ***
## policy_condition_cc 0.11193 0.06135 6181.33178 1.824 0.06815 .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) cnd_cc spread expSym
## cond_cc 0.003
## spread -0.048 0.003
## expSymptoms -0.023 -0.027 -0.741
## plcy_cndtn_ 0.002 -0.006 0.005 -0.012
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: partyLikely ~ cond_cc + policy_condition_cc + (1 | country)
## Data: sg
##
## REML criterion at convergence: 25313.5
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -1.4243 -0.7702 -0.3601 0.7186 2.7295
##
## Random effects:
## Groups Name Variance Std.Dev.
## country (Intercept) 0.1985 0.4455
## Residual 3.3910 1.8415
## Number of obs: 6228, groups: country, 7
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) -1.30152 0.17009 5.99486 -7.652 0.000261 ***
## cond_cc -0.25849 0.04669 6219.13755 -5.537 3.21e-08 ***
## policy_condition_cc 0.09012 0.06795 6219.42205 1.326 0.184761
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) cnd_cc
## cond_cc 0.001
## plcy_cndtn_ 0.001 -0.007
social norms
e. groupLikelihood ~ condition + policy condition