Joint action effects Study 2 Analysis
Siwar Hasan-Aslih
2022-10-12
Manipulation check
S2$ProtestLeader <- ifelse(S2$MnpCh_1 == 1, "Arab activists",
ifelse(S2$MnpCh_1 == 2, "Jewish Activists",
ifelse(S2$MnpCh_1 == 3, 'Jewish and Arab Activists', NA)))
table(S2$condition, S2$ProtestLeader)##
## Arab activists Jewish Activists Jewish and Arab Activists
## control 97 13 339
## non joint action 337 6 102
## joint action 34 17 402hist(S2$Ideology)
Correlations
Outcomes
Policy support
##
## Call:
## lm(formula = PolicySupport ~ condition + Age + Gender.dum + Education +
## IncomeN, data = S2, na.action = na.omit)
##
## Residuals:
## Min 1Q Median 3Q Max
## -79.592 -23.853 4.683 23.925 64.134
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 8.00534 4.37809 1.829 0.0677 .
## conditionnon joint action 0.44070 2.14755 0.205 0.8374
## conditionjoint action 1.61838 2.15329 0.752 0.4524
## Age 0.52307 0.06065 8.625 < 2e-16 ***
## Gender.dum -0.56687 1.77711 -0.319 0.7498
## Education 3.85581 0.78376 4.920 9.89e-07 ***
## IncomeN 3.40356 0.74107 4.593 4.84e-06 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 30.4 on 1189 degrees of freedom
## (151 observations deleted due to missingness)
## Multiple R-squared: 0.1111, Adjusted R-squared: 0.1066
## F-statistic: 24.76 on 6 and 1189 DF, p-value: < 2.2e-16##
## Call:
## lm(formula = PolicySupport ~ condition * Ideology + Age + Gender.dum +
## Education + IncomeN, data = S2, na.action = na.omit)
##
## Residuals:
## Min 1Q Median 3Q Max
## -98.793 -15.736 1.343 15.451 64.925
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) -19.7079 4.2825 -4.602 4.63e-06 ***
## conditionnon joint action 3.6021 4.7814 0.753 0.45139
## conditionjoint action 4.2991 4.7618 0.903 0.36680
## Ideology 15.0192 0.8698 17.267 < 2e-16 ***
## Age 0.3186 0.0478 6.666 4.02e-11 ***
## Gender.dum -4.1685 1.3900 -2.999 0.00277 **
## Education 0.8481 0.6201 1.368 0.17167
## IncomeN 1.3711 0.5819 2.356 0.01862 *
## conditionnon joint action:Ideology -1.3075 1.1999 -1.090 0.27608
## conditionjoint action:Ideology -0.6767 1.2121 -0.558 0.57676
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 23.67 on 1186 degrees of freedom
## (151 observations deleted due to missingness)
## Multiple R-squared: 0.4625, Adjusted R-squared: 0.4584
## F-statistic: 113.4 on 9 and 1186 DF, p-value: < 2.2e-16
##
## Call:
## lm(formula = PolicySupport ~ Dummy_control * Ideology + Dummy_Arab *
## Ideology + Age + Gender.dum + Education + IncomeN, data = S2,
## na.action = na.omit)
##
## Residuals:
## Min 1Q Median 3Q Max
## -98.793 -15.736 1.343 15.451 64.925
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) -15.4088 4.4709 -3.446 0.000588 ***
## Dummy_control -4.2991 4.7618 -0.903 0.366799
## Ideology 14.3425 0.8712 16.463 < 2e-16 ***
## Dummy_Arab -0.6971 4.8179 -0.145 0.884987
## Age 0.3186 0.0478 6.666 4.02e-11 ***
## Gender.dum -4.1685 1.3900 -2.999 0.002767 **
## Education 0.8481 0.6201 1.368 0.171673
## IncomeN 1.3711 0.5819 2.356 0.018624 *
## Dummy_control:Ideology 0.6767 1.2121 0.558 0.576765
## Ideology:Dummy_Arab -0.6308 1.2090 -0.522 0.601962
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 23.67 on 1186 degrees of freedom
## (151 observations deleted due to missingness)
## Multiple R-squared: 0.4625, Adjusted R-squared: 0.4584
## F-statistic: 113.4 on 9 and 1186 DF, p-value: < 2.2e-16##
## Call:
## lm(formula = PolicySupport ~ Dummy_control * IdeologyCat + Dummy_Arab *
## IdeologyCat + Age + Gender.dum + Education + IncomeN, data = S2,
## na.action = na.omit)
##
## Residuals:
## Min 1Q Median 3Q Max
## -76.756 -17.762 1.553 16.960 74.691
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 15.30771 3.82107 4.006 6.56e-05 ***
## Dummy_control -3.03567 2.64008 -1.150 0.25044
## IdeologyCatCentrist 27.22463 3.17289 8.580 < 2e-16 ***
## IdeologyCatLeftist 40.76465 2.94581 13.838 < 2e-16 ***
## Dummy_Arab -2.98373 2.74104 -1.089 0.27658
## Age 0.35211 0.05026 7.005 4.13e-12 ***
## Gender.dum -4.08565 1.45808 -2.802 0.00516 **
## Education 1.07380 0.65080 1.650 0.09922 .
## IncomeN 1.56827 0.61065 2.568 0.01035 *
## Dummy_control:IdeologyCatCentrist -1.36495 4.34580 -0.314 0.75351
## Dummy_control:IdeologyCatLeftist 4.81691 4.17202 1.155 0.24850
## IdeologyCatCentrist:Dummy_Arab -4.69105 4.43288 -1.058 0.29016
## IdeologyCatLeftist:Dummy_Arab 1.69746 4.14663 0.409 0.68235
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 24.79 on 1183 degrees of freedom
## (151 observations deleted due to missingness)
## Multiple R-squared: 0.4117, Adjusted R-squared: 0.4057
## F-statistic: 68.98 on 12 and 1183 DF, p-value: < 2.2e-16## SIMPLE SLOPES ANALYSIS
##
## Slope of Dummy_control when IdeologyCat = Leftist:
##
## Est. S.E. t val. p
## ------ ------ -------- ------
## 1.78 3.23 0.55 0.58
##
## Slope of Dummy_control when IdeologyCat = Centrist:
##
## Est. S.E. t val. p
## ------- ------ -------- ------
## -4.40 3.46 -1.27 0.20
##
## Slope of Dummy_control when IdeologyCat = Rightist:
##
## Est. S.E. t val. p
## ------- ------ -------- ------
## -3.04 2.64 -1.15 0.25## SIMPLE SLOPES ANALYSIS
##
## Slope of Dummy_Arab when IdeologyCat = Leftist:
##
## Est. S.E. t val. p
## ------- ------ -------- ------
## -1.29 3.12 -0.41 0.68
##
## Slope of Dummy_Arab when IdeologyCat = Centrist:
##
## Est. S.E. t val. p
## ------- ------ -------- ------
## -7.67 3.49 -2.20 0.03
##
## Slope of Dummy_Arab when IdeologyCat = Rightist:
##
## Est. S.E. t val. p
## ------- ------ -------- ------
## -2.98 2.74 -1.09 0.28Movement support
##
## Call:
## lm(formula = MovementSupport ~ condition + Age + Gender.dum +
## Education + IncomeN, data = S2, na.action = na.omit)
##
## Residuals:
## Min 1Q Median 3Q Max
## -78.898 -17.603 1.856 22.470 63.680
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 11.95318 4.15168 2.879 0.00406 **
## conditionnon joint action 1.53020 2.03650 0.751 0.45257
## conditionjoint action 0.53141 2.04194 0.260 0.79472
## Age 0.49046 0.05751 8.528 < 2e-16 ***
## Gender.dum 1.41591 1.68521 0.840 0.40097
## Education 3.60693 0.74323 4.853 1.38e-06 ***
## IncomeN 3.36314 0.70275 4.786 1.92e-06 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 28.83 on 1189 degrees of freedom
## (151 observations deleted due to missingness)
## Multiple R-squared: 0.1096, Adjusted R-squared: 0.1051
## F-statistic: 24.39 on 6 and 1189 DF, p-value: < 2.2e-16##
## Call:
## lm(formula = MovementSupport ~ condition * Ideology + Age + Gender.dum +
## Education + IncomeN, data = S2, na.action = na.omit)
##
## Residuals:
## Min 1Q Median 3Q Max
## -92.434 -15.942 1.825 16.486 71.728
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) -10.65560 4.30150 -2.477 0.01338 *
## conditionnon joint action 2.51661 4.80264 0.524 0.60037
## conditionjoint action 1.02534 4.78297 0.214 0.83029
## Ideology 12.53205 0.87370 14.344 < 2e-16 ***
## Age 0.31559 0.04802 6.573 7.39e-11 ***
## Gender.dum -1.66463 1.39621 -1.192 0.23340
## Education 1.04538 0.62290 1.678 0.09356 .
## IncomeN 1.63295 0.58449 2.794 0.00529 **
## conditionnon joint action:Ideology -0.65579 1.20518 -0.544 0.58645
## conditionjoint action:Ideology -0.08959 1.21749 -0.074 0.94135
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 23.77 on 1186 degrees of freedom
## (151 observations deleted due to missingness)
## Multiple R-squared: 0.3959, Adjusted R-squared: 0.3913
## F-statistic: 86.37 on 9 and 1186 DF, p-value: < 2.2e-16
##
## Call:
## lm(formula = MovementSupport ~ Dummy_control * Ideology + Dummy_Arab *
## Ideology + Age + Gender.dum + Education + IncomeN, data = S2,
## na.action = na.omit)
##
## Residuals:
## Min 1Q Median 3Q Max
## -92.434 -15.942 1.825 16.486 71.728
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) -9.63026 4.49072 -2.144 0.03220 *
## Dummy_control -1.02534 4.78297 -0.214 0.83029
## Ideology 12.44245 0.87508 14.219 < 2e-16 ***
## Dummy_Arab 1.49128 4.83934 0.308 0.75802
## Age 0.31559 0.04802 6.573 7.39e-11 ***
## Gender.dum -1.66463 1.39621 -1.192 0.23340
## Education 1.04538 0.62290 1.678 0.09356 .
## IncomeN 1.63295 0.58449 2.794 0.00529 **
## Dummy_control:Ideology 0.08959 1.21749 0.074 0.94135
## Ideology:Dummy_Arab -0.56620 1.21439 -0.466 0.64113
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 23.77 on 1186 degrees of freedom
## (151 observations deleted due to missingness)
## Multiple R-squared: 0.3959, Adjusted R-squared: 0.3913
## F-statistic: 86.37 on 9 and 1186 DF, p-value: < 2.2e-16##
## Call:
## lm(formula = MovementSupport ~ Dummy_control * IdeologyCat +
## Dummy_Arab * IdeologyCat + Age + Gender.dum + Education +
## IncomeN, data = S2, na.action = na.omit)
##
## Residuals:
## Min 1Q Median 3Q Max
## -77.324 -16.487 1.854 16.427 69.731
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 17.05685 3.79994 4.489 7.86e-06 ***
## Dummy_control -0.92335 2.62548 -0.352 0.7251
## IdeologyCatCentrist 23.05355 3.15535 7.306 5.04e-13 ***
## IdeologyCatLeftist 35.07272 2.92952 11.972 < 2e-16 ***
## Dummy_Arab -0.72736 2.72589 -0.267 0.7896
## Age 0.34655 0.04999 6.933 6.77e-12 ***
## Gender.dum -1.60735 1.45001 -1.109 0.2679
## Education 1.25275 0.64721 1.936 0.0532 .
## IncomeN 1.82540 0.60728 3.006 0.0027 **
## Dummy_control:IdeologyCatCentrist -2.43442 4.32177 -0.563 0.5733
## Dummy_control:IdeologyCatLeftist 2.56012 4.14895 0.617 0.5373
## IdeologyCatCentrist:Dummy_Arab -4.05861 4.40837 -0.921 0.3574
## IdeologyCatLeftist:Dummy_Arab 2.04754 4.12371 0.497 0.6196
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 24.65 on 1183 degrees of freedom
## (151 observations deleted due to missingness)
## Multiple R-squared: 0.3519, Adjusted R-squared: 0.3453
## F-statistic: 53.53 on 12 and 1183 DF, p-value: < 2.2e-16## SIMPLE SLOPES ANALYSIS
##
## Slope of Dummy_control when IdeologyCat = Leftist:
##
## Est. S.E. t val. p
## ------ ------ -------- ------
## 1.64 3.21 0.51 0.61
##
## Slope of Dummy_control when IdeologyCat = Centrist:
##
## Est. S.E. t val. p
## ------- ------ -------- ------
## -3.36 3.44 -0.98 0.33
##
## Slope of Dummy_control when IdeologyCat = Rightist:
##
## Est. S.E. t val. p
## ------- ------ -------- ------
## -0.92 2.63 -0.35 0.73## SIMPLE SLOPES ANALYSIS
##
## Slope of Dummy_Arab when IdeologyCat = Leftist:
##
## Est. S.E. t val. p
## ------ ------ -------- ------
## 1.32 3.10 0.43 0.67
##
## Slope of Dummy_Arab when IdeologyCat = Centrist:
##
## Est. S.E. t val. p
## ------- ------ -------- ------
## -4.79 3.47 -1.38 0.17
##
## Slope of Dummy_Arab when IdeologyCat = Rightist:
##
## Est. S.E. t val. p
## ------- ------ -------- ------
## -0.73 2.73 -0.27 0.79Collective Action
##
## Call:
## lm(formula = CoAction ~ condition + Age + Gender.dum + Education +
## IncomeN, data = S2, na.action = na.omit)
##
## Residuals:
## Min 1Q Median 3Q Max
## -36.302 -19.703 -6.389 15.528 78.605
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 5.79629 3.44128 1.684 0.0924 .
## conditionnon joint action -3.10109 1.68803 -1.837 0.0664 .
## conditionjoint action -0.34505 1.69253 -0.204 0.8385
## Age 0.23410 0.04767 4.911 1.03e-06 ***
## Gender.dum 0.50455 1.39685 0.361 0.7180
## Education 0.97654 0.61605 1.585 0.1132
## IncomeN 1.41867 0.58250 2.435 0.0150 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 23.89 on 1189 degrees of freedom
## (151 observations deleted due to missingness)
## Multiple R-squared: 0.0339, Adjusted R-squared: 0.02902
## F-statistic: 6.953 on 6 and 1189 DF, p-value: 2.801e-07##
## Call:
## lm(formula = CoAction ~ condition * Ideology + Age + Gender.dum +
## Education + IncomeN, data = S2, na.action = na.omit)
##
## Residuals:
## Min 1Q Median 3Q Max
## -51.730 -13.736 -4.133 11.887 82.033
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) -15.53014 3.70562 -4.191 2.98e-05 ***
## conditionnon joint action 4.80515 4.13734 1.161 0.2457
## conditionjoint action 6.69209 4.12039 1.624 0.1046
## Ideology 10.66168 0.75266 14.165 < 2e-16 ***
## Age 0.10285 0.04136 2.487 0.0130 *
## Gender.dum -1.80736 1.20280 -1.503 0.1332
## Education -0.99330 0.53661 -1.851 0.0644 .
## IncomeN 0.08630 0.50352 0.171 0.8639
## conditionnon joint action:Ideology -2.42026 1.03823 -2.331 0.0199 *
## conditionjoint action:Ideology -1.87988 1.04884 -1.792 0.0733 .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 20.48 on 1186 degrees of freedom
## (151 observations deleted due to missingness)
## Multiple R-squared: 0.292, Adjusted R-squared: 0.2867
## F-statistic: 54.36 on 9 and 1186 DF, p-value: < 2.2e-16
##
## Call:
## lm(formula = CoAction ~ Dummy_control * Ideology + Dummy_Arab *
## Ideology + Age + Gender.dum + Education + IncomeN, data = S2,
## na.action = na.omit)
##
## Residuals:
## Min 1Q Median 3Q Max
## -51.730 -13.736 -4.133 11.887 82.033
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) -8.83805 3.86863 -2.285 0.0225 *
## Dummy_control -6.69209 4.12039 -1.624 0.1046
## Ideology 8.78180 0.75386 11.649 <2e-16 ***
## Dummy_Arab -1.88694 4.16895 -0.453 0.6509
## Age 0.10285 0.04136 2.487 0.0130 *
## Gender.dum -1.80736 1.20280 -1.503 0.1332
## Education -0.99330 0.53661 -1.851 0.0644 .
## IncomeN 0.08630 0.50352 0.171 0.8639
## Dummy_control:Ideology 1.87988 1.04884 1.792 0.0733 .
## Ideology:Dummy_Arab -0.54037 1.04616 -0.517 0.6056
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 20.48 on 1186 degrees of freedom
## (151 observations deleted due to missingness)
## Multiple R-squared: 0.292, Adjusted R-squared: 0.2867
## F-statistic: 54.36 on 9 and 1186 DF, p-value: < 2.2e-16##
## Call:
## lm(formula = CoAction ~ Dummy_control * IdeologyCat + Dummy_Arab *
## IdeologyCat + Age + Gender.dum + Education + IncomeN, data = S2,
## na.action = na.omit)
##
## Residuals:
## Min 1Q Median 3Q Max
## -48.100 -13.021 -5.944 12.552 87.596
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 8.67524 3.23909 2.678 0.007502 **
## Dummy_control -0.38366 2.23797 -0.171 0.863914
## IdeologyCatCentrist 16.78022 2.68964 6.239 6.13e-10 ***
## IdeologyCatLeftist 25.12493 2.49714 10.061 < 2e-16 ***
## Dummy_Arab -2.14330 2.32356 -0.922 0.356497
## Age 0.14386 0.04261 3.376 0.000758 ***
## Gender.dum -1.81129 1.23600 -1.465 0.143065
## Education -0.83051 0.55168 -1.505 0.132484
## IncomeN 0.28109 0.51765 0.543 0.587220
## Dummy_control:IdeologyCatCentrist -6.21823 3.68390 -1.688 0.091685 .
## Dummy_control:IdeologyCatLeftist 7.79146 3.53659 2.203 0.027780 *
## IdeologyCatCentrist:Dummy_Arab -7.64900 3.75772 -2.036 0.042019 *
## IdeologyCatLeftist:Dummy_Arab -0.13875 3.51507 -0.039 0.968520
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 21.02 on 1183 degrees of freedom
## (151 observations deleted due to missingness)
## Multiple R-squared: 0.2563, Adjusted R-squared: 0.2488
## F-statistic: 33.98 on 12 and 1183 DF, p-value: < 2.2e-16## SIMPLE SLOPES ANALYSIS
##
## Slope of Dummy_control when IdeologyCat = Leftist:
##
## Est. S.E. t val. p
## ------ ------ -------- ------
## 7.41 2.74 2.71 0.01
##
## Slope of Dummy_control when IdeologyCat = Centrist:
##
## Est. S.E. t val. p
## ------- ------ -------- ------
## -6.60 2.93 -2.25 0.02
##
## Slope of Dummy_control when IdeologyCat = Rightist:
##
## Est. S.E. t val. p
## ------- ------ -------- ------
## -0.38 2.24 -0.17 0.86## SIMPLE SLOPES ANALYSIS
##
## Slope of Dummy_Arab when IdeologyCat = Leftist:
##
## Est. S.E. t val. p
## ------- ------ -------- ------
## -2.28 2.64 -0.86 0.39
##
## Slope of Dummy_Arab when IdeologyCat = Centrist:
##
## Est. S.E. t val. p
## ------- ------ -------- ------
## -9.79 2.96 -3.31 0.00
##
## Slope of Dummy_Arab when IdeologyCat = Rightist:
##
## Est. S.E. t val. p
## ------- ------ -------- ------
## -2.14 2.32 -0.92 0.36Identification with the movement
##
## Call:
## lm(formula = MovementID ~ condition + Age + Gender.dum + Education +
## IncomeN, data = S2, na.action = na.omit)
##
## Residuals:
## Min 1Q Median 3Q Max
## -56.288 -24.711 -0.159 19.537 78.104
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 2.47427 3.94740 0.627 0.5309
## conditionnon joint action -4.18761 1.93629 -2.163 0.0308 *
## conditionjoint action -2.07015 1.94146 -1.066 0.2865
## Age 0.40011 0.05468 7.317 4.65e-13 ***
## Gender.dum 0.18389 1.60229 0.115 0.9086
## Education 2.88692 0.70666 4.085 4.70e-05 ***
## IncomeN 1.67742 0.66817 2.510 0.0122 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 27.41 on 1189 degrees of freedom
## (151 observations deleted due to missingness)
## Multiple R-squared: 0.07422, Adjusted R-squared: 0.06955
## F-statistic: 15.89 on 6 and 1189 DF, p-value: < 2.2e-16##
## Call:
## lm(formula = MovementID ~ condition * Ideology + Age + Gender.dum +
## Education + IncomeN, data = S2, na.action = na.omit)
##
## Residuals:
## Min 1Q Median 3Q Max
## -71.265 -13.904 -2.096 13.847 89.218
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) -23.87870 4.04410 -5.905 4.61e-09 ***
## conditionnon joint action 5.74910 4.51525 1.273 0.20317
## conditionjoint action 3.46940 4.49676 0.772 0.44054
## Ideology 13.39562 0.82142 16.308 < 2e-16 ***
## Age 0.23181 0.04514 5.135 3.30e-07 ***
## Gender.dum -2.77426 1.31266 -2.113 0.03477 *
## Education 0.36136 0.58562 0.617 0.53732
## IncomeN -0.02481 0.54952 -0.045 0.96399
## conditionnon joint action:Ideology -3.04233 1.13306 -2.685 0.00735 **
## conditionjoint action:Ideology -1.46265 1.14464 -1.278 0.20156
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 22.35 on 1186 degrees of freedom
## (151 observations deleted due to missingness)
## Multiple R-squared: 0.3859, Adjusted R-squared: 0.3812
## F-statistic: 82.81 on 9 and 1186 DF, p-value: < 2.2e-16
##
## Call:
## lm(formula = MovementID ~ Dummy_control * Ideology + Dummy_Arab *
## Ideology + Age + Gender.dum + Education + IncomeN, data = S2,
## na.action = na.omit)
##
## Residuals:
## Min 1Q Median 3Q Max
## -71.265 -13.904 -2.096 13.847 89.218
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) -20.40930 4.22200 -4.834 1.51e-06 ***
## Dummy_control -3.46940 4.49676 -0.772 0.4405
## Ideology 11.93297 0.82272 14.504 < 2e-16 ***
## Dummy_Arab 2.27971 4.54975 0.501 0.6164
## Age 0.23181 0.04514 5.135 3.30e-07 ***
## Gender.dum -2.77426 1.31266 -2.113 0.0348 *
## Education 0.36136 0.58562 0.617 0.5373
## IncomeN -0.02481 0.54952 -0.045 0.9640
## Dummy_control:Ideology 1.46265 1.14464 1.278 0.2016
## Ideology:Dummy_Arab -1.57968 1.14172 -1.384 0.1667
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 22.35 on 1186 degrees of freedom
## (151 observations deleted due to missingness)
## Multiple R-squared: 0.3859, Adjusted R-squared: 0.3812
## F-statistic: 82.81 on 9 and 1186 DF, p-value: < 2.2e-16##
## Call:
## lm(formula = MovementID ~ Dummy_control * IdeologyCat + Dummy_Arab *
## IdeologyCat + Age + Gender.dum + Education + IncomeN, data = S2,
## na.action = na.omit)
##
## Residuals:
## Min 1Q Median 3Q Max
## -65.965 -16.124 -3.149 15.171 88.878
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.64487 3.53735 1.313 0.1894
## Dummy_control 1.45713 2.44405 0.596 0.5512
## IdeologyCatCentrist 20.56261 2.93730 7.001 4.26e-12 ***
## IdeologyCatLeftist 35.57560 2.72708 13.045 < 2e-16 ***
## Dummy_Arab -1.15594 2.53752 -0.456 0.6488
## Age 0.27559 0.04653 5.923 4.15e-09 ***
## Gender.dum -2.79102 1.34981 -2.068 0.0389 *
## Education 0.45570 0.60248 0.756 0.4496
## IncomeN 0.18385 0.56531 0.325 0.7451
## Dummy_control:IdeologyCatCentrist -6.19208 4.02312 -1.539 0.1240
## Dummy_control:IdeologyCatLeftist 7.51883 3.86224 1.947 0.0518 .
## IdeologyCatCentrist:Dummy_Arab -5.73238 4.10373 -1.397 0.1627
## IdeologyCatLeftist:Dummy_Arab -4.26076 3.83874 -1.110 0.2673
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 22.95 on 1183 degrees of freedom
## (151 observations deleted due to missingness)
## Multiple R-squared: 0.3541, Adjusted R-squared: 0.3475
## F-statistic: 54.04 on 12 and 1183 DF, p-value: < 2.2e-16## SIMPLE SLOPES ANALYSIS
##
## Slope of Dummy_control when IdeologyCat = Leftist:
##
## Est. S.E. t val. p
## ------ ------ -------- ------
## 8.98 2.99 3.00 0.00
##
## Slope of Dummy_control when IdeologyCat = Centrist:
##
## Est. S.E. t val. p
## ------- ------ -------- ------
## -4.73 3.20 -1.48 0.14
##
## Slope of Dummy_control when IdeologyCat = Rightist:
##
## Est. S.E. t val. p
## ------ ------ -------- ------
## 1.46 2.44 0.60 0.55## SIMPLE SLOPES ANALYSIS
##
## Slope of Dummy_Arab when IdeologyCat = Leftist:
##
## Est. S.E. t val. p
## ------- ------ -------- ------
## -5.42 2.88 -1.88 0.06
##
## Slope of Dummy_Arab when IdeologyCat = Centrist:
##
## Est. S.E. t val. p
## ------- ------ -------- ------
## -6.89 3.23 -2.13 0.03
##
## Slope of Dummy_Arab when IdeologyCat = Rightist:
##
## Est. S.E. t val. p
## ------- ------ -------- ------
## -1.16 2.54 -0.46 0.65approval of protest
#Mechanisms
Attribution of emotions
##
## Call:
## lm(formula = AttAngerGov_sc ~ condition + Age + Gender.dum +
## Education + IncomeN, data = S2, na.action = na.omit)
##
## Residuals:
## Min 1Q Median 3Q Max
## -82.151 -11.677 5.345 18.150 38.534
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 60.45473 3.55744 16.994 < 2e-16 ***
## conditionnon joint action 14.18533 1.74599 8.125 1.12e-15 ***
## conditionjoint action 9.27666 1.75050 5.299 1.38e-07 ***
## Age -0.03393 0.04928 -0.689 0.4912
## Gender.dum 2.59273 1.44441 1.795 0.0729 .
## Education 1.07931 0.63759 1.693 0.0908 .
## IncomeN 0.51490 0.60292 0.854 0.3933
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 24.7 on 1188 degrees of freedom
## (152 observations deleted due to missingness)
## Multiple R-squared: 0.06001, Adjusted R-squared: 0.05526
## F-statistic: 12.64 on 6 and 1188 DF, p-value: 7.292e-14##
## Call:
## lm(formula = AttAngerGov_sc ~ condition * Ideology + Age + Gender.dum +
## Education + IncomeN, data = S2, na.action = na.omit)
##
## Residuals:
## Min 1Q Median 3Q Max
## -80.77 -11.40 5.16 17.76 39.88
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 58.52016 4.45476 13.137 < 2e-16 ***
## conditionnon joint action 14.92086 4.97382 3.000 0.00276 **
## conditionjoint action 5.07685 4.95342 1.025 0.30561
## Ideology 1.32876 0.90487 1.468 0.14225
## Age -0.05591 0.04973 -1.124 0.26108
## Gender.dum 2.21558 1.44642 1.532 0.12585
## Education 0.75243 0.64581 1.165 0.24422
## IncomeN 0.30221 0.60612 0.499 0.61816
## conditionnon joint action:Ideology -0.23689 1.24816 -0.190 0.84951
## conditionjoint action:Ideology 1.14824 1.26091 0.911 0.36267
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 24.62 on 1185 degrees of freedom
## (152 observations deleted due to missingness)
## Multiple R-squared: 0.06835, Adjusted R-squared: 0.06128
## F-statistic: 9.66 on 9 and 1185 DF, p-value: 2.419e-14
##
## Call:
## lm(formula = AttHatredIL_sc ~ condition + Age + Gender.dum +
## Education + IncomeN, data = S2, na.action = na.omit)
##
## Residuals:
## Min 1Q Median 3Q Max
## -61.786 -26.216 1.069 23.787 62.689
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 48.72171 4.46392 10.915 < 2e-16 ***
## conditionnon joint action 16.28686 2.18966 7.438 1.95e-13 ***
## conditionjoint action 9.65750 2.19551 4.399 1.19e-05 ***
## Age 0.03617 0.06184 0.585 0.5587
## Gender.dum -0.80622 1.81195 -0.445 0.6564
## Education -0.81548 0.79913 -1.020 0.3077
## IncomeN -1.86135 0.75560 -2.463 0.0139 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 30.99 on 1189 degrees of freedom
## (151 observations deleted due to missingness)
## Multiple R-squared: 0.05279, Adjusted R-squared: 0.04801
## F-statistic: 11.04 on 6 and 1189 DF, p-value: 5.227e-12##
## Call:
## lm(formula = AttHatredIL_sc ~ condition * Ideology + Age + Gender.dum +
## Education + IncomeN, data = S2, na.action = na.omit)
##
## Residuals:
## Min 1Q Median 3Q Max
## -71.206 -22.798 1.859 22.214 75.691
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 64.03197 5.40711 11.842 < 2e-16 ***
## conditionnon joint action 7.84884 6.03707 1.300 0.1938
## conditionjoint action 5.10767 6.01234 0.850 0.3958
## Ideology -7.42796 1.09826 -6.763 2.11e-11 ***
## Age 0.12354 0.06036 2.047 0.0409 *
## Gender.dum 0.72659 1.75508 0.414 0.6790
## Education 0.51758 0.78300 0.661 0.5087
## IncomeN -0.96448 0.73472 -1.313 0.1895
## conditionnon joint action:Ideology 2.45885 1.51495 1.623 0.1048
## conditionjoint action:Ideology 1.21427 1.53043 0.793 0.4277
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 29.88 on 1186 degrees of freedom
## (151 observations deleted due to missingness)
## Multiple R-squared: 0.1217, Adjusted R-squared: 0.115
## F-statistic: 18.25 on 9 and 1186 DF, p-value: < 2.2e-16
##
## Call:
## lm(formula = AttHopeEquality_sc ~ condition + Age + Gender.dum +
## Education + IncomeN, data = S2, na.action = na.omit)
##
## Residuals:
## Min 1Q Median 3Q Max
## -64.675 -21.427 3.665 23.318 53.021
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 47.09809 4.19384 11.230 < 2e-16 ***
## conditionnon joint action -4.20692 2.05717 -2.045 0.0411 *
## conditionjoint action -3.57841 2.06267 -1.735 0.0830 .
## Age 0.06992 0.05809 1.204 0.2290
## Gender.dum 4.38722 1.70232 2.577 0.0101 *
## Education -0.44173 0.75078 -0.588 0.5564
## IncomeN 3.31537 0.70988 4.670 3.35e-06 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 29.12 on 1189 degrees of freedom
## (151 observations deleted due to missingness)
## Multiple R-squared: 0.02703, Adjusted R-squared: 0.02212
## F-statistic: 5.505 on 6 and 1189 DF, p-value: 1.232e-05##
## Call:
## lm(formula = AttHopeEquality_sc ~ condition * Ideology + Age +
## Gender.dum + Education + IncomeN, data = S2, na.action = na.omit)
##
## Residuals:
## Min 1Q Median 3Q Max
## -72.231 -20.973 3.384 22.492 56.724
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 31.82639 5.16491 6.162 9.82e-10 ***
## conditionnon joint action 10.11813 5.76665 1.755 0.079587 .
## conditionjoint action 7.00734 5.74303 1.220 0.222651
## Ideology 6.39096 1.04907 6.092 1.50e-09 ***
## Age 0.01233 0.05765 0.214 0.830626
## Gender.dum 3.37809 1.67647 2.015 0.044129 *
## Education -1.37848 0.74793 -1.843 0.065570 .
## IncomeN 2.68375 0.70181 3.824 0.000138 ***
## conditionnon joint action:Ideology -3.97737 1.44709 -2.749 0.006077 **
## conditionjoint action:Ideology -2.86316 1.46187 -1.959 0.050399 .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 28.54 on 1186 degrees of freedom
## (151 observations deleted due to missingness)
## Multiple R-squared: 0.06735, Adjusted R-squared: 0.06028
## F-statistic: 9.517 on 9 and 1186 DF, p-value: 4.201e-14
##
## Call:
## lm(formula = AttHopeEquality_sc ~ Dummy_control * Ideology +
## Dummy_Arab * Ideology + Age + Gender.dum + Education + IncomeN,
## data = S2, na.action = na.omit)
##
## Residuals:
## Min 1Q Median 3Q Max
## -72.231 -20.973 3.384 22.492 56.724
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 38.83373 5.39212 7.202 1.05e-12 ***
## Dummy_control -7.00734 5.74303 -1.220 0.222651
## Ideology 3.52780 1.05073 3.357 0.000812 ***
## Dummy_Arab 3.11078 5.81072 0.535 0.592506
## Age 0.01233 0.05765 0.214 0.830626
## Gender.dum 3.37809 1.67647 2.015 0.044129 *
## Education -1.37848 0.74793 -1.843 0.065570 .
## IncomeN 2.68375 0.70181 3.824 0.000138 ***
## Dummy_control:Ideology 2.86316 1.46187 1.959 0.050399 .
## Ideology:Dummy_Arab -1.11421 1.45815 -0.764 0.444942
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 28.54 on 1186 degrees of freedom
## (151 observations deleted due to missingness)
## Multiple R-squared: 0.06735, Adjusted R-squared: 0.06028
## F-statistic: 9.517 on 9 and 1186 DF, p-value: 4.201e-14##
## Call:
## lm(formula = AttHopeEquality_sc ~ Dummy_control * IdeologyCat +
## Dummy_Arab * IdeologyCat + Age + Gender.dum + Education +
## IncomeN, data = S2, na.action = na.omit)
##
## Residuals:
## Min 1Q Median 3Q Max
## -70.051 -21.081 3.183 22.695 56.236
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 46.26213 4.41007 10.490 < 2e-16 ***
## Dummy_control -0.94604 3.04704 -0.310 0.756253
## IdeologyCatCentrist 6.66936 3.66198 1.821 0.068823 .
## IdeologyCatLeftist 10.44990 3.39990 3.074 0.002163 **
## Dummy_Arab 0.88977 3.16357 0.281 0.778565
## Age 0.02201 0.05801 0.379 0.704451
## Gender.dum 3.35996 1.68283 1.997 0.046096 *
## Education -1.32037 0.75112 -1.758 0.079031 .
## IncomeN 2.71383 0.70478 3.851 0.000124 ***
## Dummy_control:IdeologyCatCentrist 5.65215 5.01569 1.127 0.260016
## Dummy_control:IdeologyCatLeftist 9.87728 4.81512 2.051 0.040457 *
## IdeologyCatCentrist:Dummy_Arab -4.42300 5.11620 -0.865 0.387484
## IdeologyCatLeftist:Dummy_Arab -2.78071 4.78582 -0.581 0.561330
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 28.61 on 1183 degrees of freedom
## (151 observations deleted due to missingness)
## Multiple R-squared: 0.06521, Adjusted R-squared: 0.05573
## F-statistic: 6.878 on 12 and 1183 DF, p-value: 3.927e-12## SIMPLE SLOPES ANALYSIS
##
## Slope of Dummy_control when IdeologyCat = Leftist:
##
## Est. S.E. t val. p
## ------ ------ -------- ------
## 8.93 3.73 2.40 0.02
##
## Slope of Dummy_control when IdeologyCat = Centrist:
##
## Est. S.E. t val. p
## ------ ------ -------- ------
## 4.71 3.99 1.18 0.24
##
## Slope of Dummy_control when IdeologyCat = Rightist:
##
## Est. S.E. t val. p
## ------- ------ -------- ------
## -0.95 3.05 -0.31 0.76## SIMPLE SLOPES ANALYSIS
##
## Slope of Dummy_Arab when IdeologyCat = Leftist:
##
## Est. S.E. t val. p
## ------- ------ -------- ------
## -1.89 3.60 -0.53 0.60
##
## Slope of Dummy_Arab when IdeologyCat = Centrist:
##
## Est. S.E. t val. p
## ------- ------ -------- ------
## -3.53 4.03 -0.88 0.38
##
## Slope of Dummy_Arab when IdeologyCat = Rightist:
##
## Est. S.E. t val. p
## ------ ------ -------- ------
## 0.89 3.16 0.28 0.78Individual emotions
##
## Call:
## lm(formula = AngerActivist ~ condition + Age + Gender.dum + Education +
## IncomeN, data = S2, na.action = na.omit)
##
## Residuals:
## Min 1Q Median 3Q Max
## -46.635 -24.686 -7.753 18.704 80.918
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 54.14838 4.38497 12.349 < 2e-16 ***
## conditionnon joint action -1.93875 2.15093 -0.901 0.36758
## conditionjoint action 1.20002 2.15667 0.556 0.57803
## Age -0.16962 0.06074 -2.792 0.00531 **
## Gender.dum -2.66912 1.77990 -1.500 0.13399
## Education -3.38739 0.78499 -4.315 1.73e-05 ***
## IncomeN -1.25463 0.74223 -1.690 0.09122 .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 30.44 on 1189 degrees of freedom
## (151 observations deleted due to missingness)
## Multiple R-squared: 0.03334, Adjusted R-squared: 0.02847
## F-statistic: 6.836 on 6 and 1189 DF, p-value: 3.817e-07##
## Call:
## lm(formula = AngerActivist ~ condition * Ideology + Age + Gender.dum +
## Education + IncomeN, data = S2, na.action = na.omit)
##
## Residuals:
## Min 1Q Median 3Q Max
## -55.578 -20.181 -5.191 16.885 102.105
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 67.63959 5.14023 13.159 < 2e-16 ***
## conditionnon joint action -5.57413 5.73909 -0.971 0.3316
## conditionjoint action 9.37148 5.71558 1.640 0.1013
## Ideology -7.82290 1.04406 -7.493 1.31e-13 ***
## Age -0.05627 0.05738 -0.981 0.3270
## Gender.dum -0.69491 1.66845 -0.417 0.6771
## Education -1.70442 0.74435 -2.290 0.0222 *
## IncomeN -0.13753 0.69846 -0.197 0.8439
## conditionnon joint action:Ideology 1.20730 1.44018 0.838 0.4020
## conditionjoint action:Ideology -2.25275 1.45489 -1.548 0.1218
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 28.41 on 1186 degrees of freedom
## (151 observations deleted due to missingness)
## Multiple R-squared: 0.1605, Adjusted R-squared: 0.1541
## F-statistic: 25.19 on 9 and 1186 DF, p-value: < 2.2e-16
##
## Call:
## lm(formula = AngerActivist ~ condition + Age + Gender.dum + Education +
## IncomeN, data = S2, na.action = na.omit)
##
## Residuals:
## Min 1Q Median 3Q Max
## -46.635 -24.686 -7.753 18.704 80.918
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 54.14838 4.38497 12.349 < 2e-16 ***
## conditionnon joint action -1.93875 2.15093 -0.901 0.36758
## conditionjoint action 1.20002 2.15667 0.556 0.57803
## Age -0.16962 0.06074 -2.792 0.00531 **
## Gender.dum -2.66912 1.77990 -1.500 0.13399
## Education -3.38739 0.78499 -4.315 1.73e-05 ***
## IncomeN -1.25463 0.74223 -1.690 0.09122 .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 30.44 on 1189 degrees of freedom
## (151 observations deleted due to missingness)
## Multiple R-squared: 0.03334, Adjusted R-squared: 0.02847
## F-statistic: 6.836 on 6 and 1189 DF, p-value: 3.817e-07##
## Call:
## lm(formula = AngerActivist ~ condition * Ideology + Age + Gender.dum +
## Education + IncomeN, data = S2, na.action = na.omit)
##
## Residuals:
## Min 1Q Median 3Q Max
## -55.578 -20.181 -5.191 16.885 102.105
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 67.63959 5.14023 13.159 < 2e-16 ***
## conditionnon joint action -5.57413 5.73909 -0.971 0.3316
## conditionjoint action 9.37148 5.71558 1.640 0.1013
## Ideology -7.82290 1.04406 -7.493 1.31e-13 ***
## Age -0.05627 0.05738 -0.981 0.3270
## Gender.dum -0.69491 1.66845 -0.417 0.6771
## Education -1.70442 0.74435 -2.290 0.0222 *
## IncomeN -0.13753 0.69846 -0.197 0.8439
## conditionnon joint action:Ideology 1.20730 1.44018 0.838 0.4020
## conditionjoint action:Ideology -2.25275 1.45489 -1.548 0.1218
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 28.41 on 1186 degrees of freedom
## (151 observations deleted due to missingness)
## Multiple R-squared: 0.1605, Adjusted R-squared: 0.1541
## F-statistic: 25.19 on 9 and 1186 DF, p-value: < 2.2e-16##
## Call:
## lm(formula = AngerDiscr ~ condition + Age + Gender.dum + Education +
## IncomeN, data = S2, na.action = na.omit)
##
## Residuals:
## Min 1Q Median 3Q Max
## -61.232 -29.788 2.792 25.378 71.316
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.17457 4.52539 0.922 0.356466
## conditionnon joint action -0.45609 2.21981 -0.205 0.837244
## conditionjoint action 0.45555 2.22573 0.205 0.837862
## Age 0.41239 0.06269 6.579 7.10e-11 ***
## Gender.dum 1.05812 1.83690 0.576 0.564700
## Education 3.22591 0.81013 3.982 7.25e-05 ***
## IncomeN 2.74808 0.76600 3.588 0.000347 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 31.42 on 1189 degrees of freedom
## (151 observations deleted due to missingness)
## Multiple R-squared: 0.06944, Adjusted R-squared: 0.06474
## F-statistic: 14.79 on 6 and 1189 DF, p-value: 2.348e-16##
## Call:
## lm(formula = AngerDiscr ~ condition * Ideology + Age + Gender.dum +
## Education + IncomeN, data = S2, na.action = na.omit)
##
## Residuals:
## Min 1Q Median 3Q Max
## -92.274 -17.144 0.341 17.158 83.360
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) -21.53266 4.57701 -4.705 2.84e-06 ***
## conditionnon joint action 2.03707 5.11026 0.399 0.690
## conditionjoint action -0.87546 5.08932 -0.172 0.863
## Ideology 14.26064 0.92966 15.340 < 2e-16 ***
## Age 0.21352 0.05109 4.179 3.14e-05 ***
## Gender.dum -2.43889 1.48564 -1.642 0.101
## Education 0.30293 0.66279 0.457 0.648
## IncomeN 0.77915 0.62193 1.253 0.211
## conditionnon joint action:Ideology -1.10807 1.28238 -0.864 0.388
## conditionjoint action:Ideology 0.41329 1.29547 0.319 0.750
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 25.29 on 1186 degrees of freedom
## (151 observations deleted due to missingness)
## Multiple R-squared: 0.3984, Adjusted R-squared: 0.3938
## F-statistic: 87.27 on 9 and 1186 DF, p-value: < 2.2e-16
##
## Call:
## lm(formula = HopeMovement ~ condition + Age + Gender.dum + Education +
## IncomeN, data = S2, na.action = na.omit)
##
## Residuals:
## Min 1Q Median 3Q Max
## -76.096 -28.928 3.087 26.764 72.083
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 1.19790 4.68889 0.255 0.798
## conditionnon joint action 0.21004 2.29945 0.091 0.927
## conditionjoint action -0.52817 2.30726 -0.229 0.819
## Age 0.52332 0.06494 8.058 1.87e-15 ***
## Gender.dum 0.63431 1.90356 0.333 0.739
## Education 3.60550 0.83977 4.293 1.90e-05 ***
## IncomeN 3.18824 0.79354 4.018 6.25e-05 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 32.55 on 1188 degrees of freedom
## (152 observations deleted due to missingness)
## Multiple R-squared: 0.09199, Adjusted R-squared: 0.08741
## F-statistic: 20.06 on 6 and 1188 DF, p-value: < 2.2e-16##
## Call:
## lm(formula = HopeMovement ~ condition * Ideology + Age + Gender.dum +
## Education + IncomeN, data = S2, na.action = na.omit)
##
## Residuals:
## Min 1Q Median 3Q Max
## -87.406 -18.987 0.621 19.309 77.968
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) -22.67044 4.93234 -4.596 4.76e-06 ***
## conditionnon joint action 1.43742 5.50645 0.261 0.7941
## conditionjoint action -2.78828 5.48394 -0.508 0.6112
## Ideology 13.42095 1.00175 13.398 < 2e-16 ***
## Age 0.33343 0.05506 6.056 1.87e-09 ***
## Gender.dum -2.70543 1.60144 -1.689 0.0914 .
## Education 0.82229 0.71466 1.151 0.2501
## IncomeN 1.31341 0.67019 1.960 0.0503 .
## conditionnon joint action:Ideology -0.74794 1.38180 -0.541 0.5884
## conditionjoint action:Ideology 0.66375 1.39598 0.475 0.6345
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 27.26 on 1185 degrees of freedom
## (152 observations deleted due to missingness)
## Multiple R-squared: 0.3648, Adjusted R-squared: 0.36
## F-statistic: 75.62 on 9 and 1185 DF, p-value: < 2.2e-16
##
## Call:
## lm(formula = EmpathyActivist ~ condition + Age + Gender.dum +
## Education + IncomeN, data = S2, na.action = na.omit)
##
## Residuals:
## Min 1Q Median 3Q Max
## -70.778 -30.431 4.277 25.461 70.426
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 2.93763 4.68398 0.627 0.531
## conditionnon joint action 0.77002 2.29724 0.335 0.738
## conditionjoint action -1.44857 2.30785 -0.628 0.530
## Age 0.41836 0.06488 6.448 1.65e-10 ***
## Gender.dum 3.12869 1.90316 1.644 0.100
## Education 4.48722 0.83916 5.347 1.07e-07 ***
## IncomeN 3.21228 0.79286 4.051 5.42e-05 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 32.52 on 1186 degrees of freedom
## (154 observations deleted due to missingness)
## Multiple R-squared: 0.08615, Adjusted R-squared: 0.08152
## F-statistic: 18.63 on 6 and 1186 DF, p-value: < 2.2e-16##
## Call:
## lm(formula = EmpathyActivist ~ condition * Ideology + Age + Gender.dum +
## Education + IncomeN, data = S2, na.action = na.omit)
##
## Residuals:
## Min 1Q Median 3Q Max
## -89.943 -19.134 1.084 17.662 81.517
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) -23.61505 4.84363 -4.875 1.23e-06 ***
## conditionnon joint action 4.74372 5.40708 0.877 0.3805
## conditionjoint action -0.48458 5.39089 -0.090 0.9284
## Ideology 14.47219 0.98369 14.712 < 2e-16 ***
## Age 0.22085 0.05407 4.084 4.71e-05 ***
## Gender.dum -0.33469 1.57372 -0.213 0.8316
## Education 1.56578 0.70202 2.230 0.0259 *
## IncomeN 1.23735 0.65822 1.880 0.0604 .
## conditionnon joint action:Ideology -1.50485 1.35686 -1.109 0.2676
## conditionjoint action:Ideology -0.16684 1.37396 -0.121 0.9034
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 26.76 on 1183 degrees of freedom
## (154 observations deleted due to missingness)
## Multiple R-squared: 0.3824, Adjusted R-squared: 0.3777
## F-statistic: 81.39 on 9 and 1183 DF, p-value: < 2.2e-16
##
## Call:
## lm(formula = HatredActivist ~ condition + Age + Gender.dum +
## Education + IncomeN, data = S2, na.action = na.omit)
##
## Residuals:
## Min 1Q Median 3Q Max
## -43.187 -19.699 -9.609 14.774 90.325
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 53.51573 3.90936 13.689 < 2e-16 ***
## conditionnon joint action -3.36479 1.91763 -1.755 0.07958 .
## conditionjoint action -0.51614 1.92276 -0.268 0.78841
## Age -0.16276 0.05415 -3.006 0.00271 **
## Gender.dum -4.20294 1.58685 -2.649 0.00819 **
## Education -4.51580 0.69985 -6.453 1.6e-10 ***
## IncomeN -1.39051 0.66173 -2.101 0.03582 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 27.14 on 1189 degrees of freedom
## (151 observations deleted due to missingness)
## Multiple R-squared: 0.06222, Adjusted R-squared: 0.05749
## F-statistic: 13.15 on 6 and 1189 DF, p-value: 1.876e-14##
## Call:
## lm(formula = HatredActivist ~ condition * Ideology + Age + Gender.dum +
## Education + IncomeN, data = S2, na.action = na.omit)
##
## Residuals:
## Min 1Q Median 3Q Max
## -51.685 -17.716 -5.328 13.159 88.467
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 67.08213 4.64101 14.454 < 2e-16 ***
## conditionnon joint action -9.20888 5.18172 -1.777 0.0758 .
## conditionjoint action 0.82300 5.16049 0.159 0.8733
## Ideology -7.14108 0.94266 -7.575 7.18e-14 ***
## Age -0.06944 0.05181 -1.340 0.1804
## Gender.dum -2.57204 1.50642 -1.707 0.0880 .
## Education -3.11195 0.67206 -4.630 4.05e-06 ***
## IncomeN -0.45278 0.63063 -0.718 0.4729
## conditionnon joint action:Ideology 1.76690 1.30031 1.359 0.1745
## conditionjoint action:Ideology -0.38909 1.31359 -0.296 0.7671
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 25.65 on 1186 degrees of freedom
## (151 observations deleted due to missingness)
## Multiple R-squared: 0.1647, Adjusted R-squared: 0.1584
## F-statistic: 25.99 on 9 and 1186 DF, p-value: < 2.2e-16
Perceived threat
##
## Call:
## lm(formula = IdThreat ~ condition + Age + Gender.dum + Education +
## IncomeN, data = S2, na.action = na.omit)
##
## Residuals:
## Min 1Q Median 3Q Max
## -70.920 -21.808 -1.473 25.258 64.524
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 87.8666 4.2884 20.489 < 2e-16 ***
## conditionnon joint action 4.2169 2.1060 2.002 0.04548 *
## conditionjoint action 2.3311 2.1105 1.105 0.26958
## Age -0.3236 0.0595 -5.438 6.54e-08 ***
## Gender.dum -4.7535 1.7422 -2.728 0.00646 **
## Education -3.1047 0.7681 -4.042 5.64e-05 ***
## IncomeN -3.1185 0.7263 -4.294 1.90e-05 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 29.77 on 1187 degrees of freedom
## (153 observations deleted due to missingness)
## Multiple R-squared: 0.07105, Adjusted R-squared: 0.06635
## F-statistic: 15.13 on 6 and 1187 DF, p-value: < 2.2e-16##
## Call:
## lm(formula = IdThreat ~ condition * Ideology + Age + Gender.dum +
## Education + IncomeN, data = S2, na.action = na.omit)
##
## Residuals:
## Min 1Q Median 3Q Max
## -83.447 -14.603 -0.034 18.062 81.519
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 116.45056 4.44940 26.172 < 2e-16 ***
## conditionnon joint action -5.93514 4.97874 -1.192 0.23346
## conditionjoint action -6.09755 4.95062 -1.232 0.21832
## Ideology -14.40376 0.90497 -15.916 < 2e-16 ***
## Age -0.14232 0.04972 -2.862 0.00428 **
## Gender.dum -1.57012 1.44435 -1.087 0.27722
## Education -0.42467 0.64412 -0.659 0.50983
## IncomeN -1.31185 0.60441 -2.170 0.03017 *
## conditionnon joint action:Ideology 3.12355 1.24823 2.502 0.01247 *
## conditionjoint action:Ideology 2.22748 1.25957 1.768 0.07724 .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 24.57 on 1184 degrees of freedom
## (153 observations deleted due to missingness)
## Multiple R-squared: 0.369, Adjusted R-squared: 0.3642
## F-statistic: 76.93 on 9 and 1184 DF, p-value: < 2.2e-16
##
## Call:
## lm(formula = IdThreat ~ Dummy_control * Ideology + Dummy_Arab *
## Ideology + Age + Gender.dum + Education + IncomeN, data = S2,
## na.action = na.omit)
##
## Residuals:
## Min 1Q Median 3Q Max
## -83.447 -14.603 -0.034 18.062 81.519
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 110.35301 4.64231 23.771 < 2e-16 ***
## Dummy_control 6.09755 4.95062 1.232 0.21832
## Ideology -12.17628 0.90445 -13.463 < 2e-16 ***
## Dummy_Arab 0.16242 5.00928 0.032 0.97414
## Age -0.14232 0.04972 -2.862 0.00428 **
## Gender.dum -1.57012 1.44435 -1.087 0.27722
## Education -0.42467 0.64412 -0.659 0.50983
## IncomeN -1.31185 0.60441 -2.170 0.03017 *
## Dummy_control:Ideology -2.22748 1.25957 -1.768 0.07724 .
## Ideology:Dummy_Arab 0.89607 1.25644 0.713 0.47587
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 24.57 on 1184 degrees of freedom
## (153 observations deleted due to missingness)
## Multiple R-squared: 0.369, Adjusted R-squared: 0.3642
## F-statistic: 76.93 on 9 and 1184 DF, p-value: < 2.2e-16##
## Call:
## lm(formula = IdThreat ~ Dummy_control * IdeologyCat + Dummy_Arab *
## IdeologyCat + Age + Gender.dum + Education + IncomeN, data = S2,
## na.action = na.omit)
##
## Residuals:
## Min 1Q Median 3Q Max
## -76.727 -15.953 1.057 19.610 75.183
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 83.55996 3.85340 21.685 < 2e-16 ***
## Dummy_control 1.69221 2.66564 0.635 0.52567
## IdeologyCatCentrist -19.04004 3.19872 -5.952 3.48e-09 ***
## IdeologyCatLeftist -37.74860 2.96980 -12.711 < 2e-16 ***
## Dummy_Arab 3.45313 2.76831 1.247 0.21251
## Age -0.16742 0.05078 -3.297 0.00101 **
## Gender.dum -1.51644 1.47125 -1.031 0.30288
## Education -0.47809 0.65640 -0.728 0.46655
## IncomeN -1.47597 0.61594 -2.396 0.01672 *
## Dummy_control:IdeologyCatCentrist -5.44426 4.38360 -1.242 0.21450
## Dummy_control:IdeologyCatLeftist -8.09795 4.20865 -1.924 0.05458 .
## IdeologyCatCentrist:Dummy_Arab -0.35987 4.47255 -0.080 0.93588
## IdeologyCatLeftist:Dummy_Arab 1.96373 4.18371 0.469 0.63889
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 24.99 on 1181 degrees of freedom
## (153 observations deleted due to missingness)
## Multiple R-squared: 0.3487, Adjusted R-squared: 0.3421
## F-statistic: 52.7 on 12 and 1181 DF, p-value: < 2.2e-16## SIMPLE SLOPES ANALYSIS
##
## Slope of Dummy_control when IdeologyCat = Leftist:
##
## Est. S.E. t val. p
## ------- ------ -------- ------
## -6.41 3.25 -1.97 0.05
##
## Slope of Dummy_control when IdeologyCat = Centrist:
##
## Est. S.E. t val. p
## ------- ------ -------- ------
## -3.75 3.48 -1.08 0.28
##
## Slope of Dummy_control when IdeologyCat = Rightist:
##
## Est. S.E. t val. p
## ------ ------ -------- ------
## 1.69 2.67 0.63 0.53## SIMPLE SLOPES ANALYSIS
##
## Slope of Dummy_Arab when IdeologyCat = Leftist:
##
## Est. S.E. t val. p
## ------ ------ -------- ------
## 5.42 3.14 1.72 0.08
##
## Slope of Dummy_Arab when IdeologyCat = Centrist:
##
## Est. S.E. t val. p
## ------ ------ -------- ------
## 3.09 3.52 0.88 0.38
##
## Slope of Dummy_Arab when IdeologyCat = Rightist:
##
## Est. S.E. t val. p
## ------ ------ -------- ------
## 3.45 2.77 1.25 0.21Perceived agenda
##
## Call:
## lm(formula = EgaAgenda ~ condition + Age + Gender.dum + Education +
## IncomeN, data = S2, na.action = na.omit)
##
## Residuals:
## Min 1Q Median 3Q Max
## -76.529 -10.809 1.777 15.080 43.080
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 42.83661 3.11613 13.747 < 2e-16 ***
## conditionnon joint action 4.58987 1.52843 3.003 0.00273 **
## conditionjoint action 1.84100 1.53251 1.201 0.22988
## Age 0.20931 0.04315 4.851 1.39e-06 ***
## Gender.dum 4.16337 1.26437 3.293 0.00102 **
## Education 2.52111 0.55726 4.524 6.67e-06 ***
## IncomeN 0.77451 0.52742 1.468 0.14224
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 21.58 on 1184 degrees of freedom
## (156 observations deleted due to missingness)
## Multiple R-squared: 0.05746, Adjusted R-squared: 0.05268
## F-statistic: 12.03 on 6 and 1184 DF, p-value: 3.751e-13##
## Call:
## lm(formula = EgaAgenda ~ condition * Ideology + Age + Gender.dum +
## Education + IncomeN, data = S2, na.action = na.omit)
##
## Residuals:
## Min 1Q Median 3Q Max
## -67.430 -11.031 1.591 13.944 49.544
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 34.63287 3.79314 9.130 < 2e-16 ***
## conditionnon joint action 5.07782 4.24362 1.197 0.231712
## conditionjoint action 3.72319 4.21272 0.884 0.376985
## Ideology 4.38259 0.77038 5.689 1.61e-08 ***
## Age 0.14950 0.04231 3.534 0.000425 ***
## Gender.dum 3.16103 1.22939 2.571 0.010255 *
## Education 1.65402 0.54840 3.016 0.002615 **
## IncomeN 0.19925 0.51478 0.387 0.698785
## conditionnon joint action:Ideology -0.26827 1.06389 -0.252 0.800964
## conditionjoint action:Ideology -0.48955 1.07246 -0.456 0.648131
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 20.9 on 1181 degrees of freedom
## (156 observations deleted due to missingness)
## Multiple R-squared: 0.1186, Adjusted R-squared: 0.1119
## F-statistic: 17.66 on 9 and 1181 DF, p-value: < 2.2e-16
##
## Call:
## lm(formula = ExtrAgenda ~ condition + Age + Gender.dum + Education +
## IncomeN, data = S2, na.action = na.omit)
##
## Residuals:
## Min 1Q Median 3Q Max
## -63.219 -28.770 -2.117 29.279 69.484
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 78.27695 4.78008 16.376 < 2e-16 ***
## conditionnon joint action 4.37293 2.34078 1.868 0.061988 .
## conditionjoint action 3.16837 2.35012 1.348 0.177860
## Age -0.17411 0.06628 -2.627 0.008730 **
## Gender.dum -3.55134 1.93788 -1.833 0.067114 .
## Education -4.26069 0.85383 -4.990 6.94e-07 ***
## IncomeN -3.08824 0.80789 -3.823 0.000139 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 33.05 on 1182 degrees of freedom
## (158 observations deleted due to missingness)
## Multiple R-squared: 0.05579, Adjusted R-squared: 0.051
## F-statistic: 11.64 on 6 and 1182 DF, p-value: 1.063e-12##
## Call:
## lm(formula = ExtrAgenda ~ condition * Ideology + Age + Gender.dum +
## Education + IncomeN, data = S2, na.action = na.omit)
##
## Residuals:
## Min 1Q Median 3Q Max
## -87.081 -18.060 0.871 19.369 96.669
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 104.71814 4.96457 21.093 <2e-16 ***
## conditionnon joint action 2.06619 5.54967 0.372 0.7097
## conditionjoint action 1.95747 5.51219 0.355 0.7226
## Ideology -14.45369 1.00754 -14.346 <2e-16 ***
## Age 0.02708 0.05549 0.488 0.6257
## Gender.dum -0.23838 1.60885 -0.148 0.8822
## Education -1.31779 0.71762 -1.836 0.0666 .
## IncomeN -1.14391 0.67338 -1.699 0.0896 .
## conditionnon joint action:Ideology 1.06894 1.39132 0.768 0.4425
## conditionjoint action:Ideology 0.25630 1.40348 0.183 0.8551
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 27.33 on 1179 degrees of freedom
## (158 observations deleted due to missingness)
## Multiple R-squared: 0.3562, Adjusted R-squared: 0.3513
## F-statistic: 72.48 on 9 and 1179 DF, p-value: < 2.2e-16
Moderators
Perceived cost and benefit
##
## Call:
## lm(formula = Cost_Benefit ~ condition + Age + Gender.dum + Education +
## IncomeN, data = S2, na.action = na.omit)
##
## Residuals:
## Min 1Q Median 3Q Max
## -134.742 -34.594 5.647 36.783 121.409
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) -59.94507 7.02574 -8.532 < 2e-16 ***
## conditionnon joint action 0.65173 3.44829 0.189 0.850125
## conditionjoint action -0.20775 3.45767 -0.060 0.952098
## Age 0.65306 0.09732 6.710 3.00e-11 ***
## Gender.dum 2.13771 2.85325 0.749 0.453873
## Education 4.89294 1.25778 3.890 0.000106 ***
## IncomeN 5.66257 1.18925 4.761 2.16e-06 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 48.78 on 1188 degrees of freedom
## (152 observations deleted due to missingness)
## Multiple R-squared: 0.07996, Adjusted R-squared: 0.07532
## F-statistic: 17.21 on 6 and 1188 DF, p-value: < 2.2e-16##
## Call:
## lm(formula = Cost_Benefit ~ condition * Ideology + Age + Gender.dum +
## Education + IncomeN, data = S2, na.action = na.omit)
##
## Residuals:
## Min 1Q Median 3Q Max
## -149.39 -24.65 2.70 27.16 114.46
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) -104.01314 7.13811 -14.572 < 2e-16 ***
## conditionnon joint action 10.83109 7.97425 1.358 0.17464
## conditionjoint action 5.83657 7.94237 0.735 0.46257
## Ideology 23.26676 1.45185 16.026 < 2e-16 ***
## Age 0.34595 0.07962 4.345 1.51e-05 ***
## Gender.dum -3.34805 2.31661 -1.445 0.14866
## Education 0.33026 1.03302 0.320 0.74925
## IncomeN 2.58407 0.96925 2.666 0.00778 **
## conditionnon joint action:Ideology -3.38958 2.00026 -1.695 0.09042 .
## conditionjoint action:Ideology -1.53400 2.02074 -0.759 0.44793
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 39.42 on 1185 degrees of freedom
## (152 observations deleted due to missingness)
## Multiple R-squared: 0.4007, Adjusted R-squared: 0.3962
## F-statistic: 88.04 on 9 and 1185 DF, p-value: < 2.2e-16
##
## Call:
## lm(formula = PolicySupport ~ condition * Cost_Benefit + Age +
## Gender.dum + Education + IncomeN, data = S2, na.action = na.omit)
##
## Residuals:
## Min 1Q Median 3Q Max
## -72.708 -9.592 0.330 9.651 77.501
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 38.9744363 2.5325487 15.389 < 2e-16
## conditionnon joint action -0.1238028 1.2097617 -0.102 0.91851
## conditionjoint action 1.6208170 1.2123253 1.337 0.18150
## Cost_Benefit 0.5071846 0.0170087 29.819 < 2e-16
## Age 0.1862759 0.0346417 5.377 9.11e-08
## Gender.dum -1.5548674 0.9974917 -1.559 0.11932
## Education 1.3473174 0.4436354 3.037 0.00244
## IncomeN 0.4754816 0.4197621 1.133 0.25755
## conditionnon joint action:Cost_Benefit 0.0273728 0.0240549 1.138 0.25538
## conditionjoint action:Cost_Benefit 0.0006479 0.0235743 0.027 0.97808
##
## (Intercept) ***
## conditionnon joint action
## conditionjoint action
## Cost_Benefit ***
## Age ***
## Gender.dum
## Education **
## IncomeN
## conditionnon joint action:Cost_Benefit
## conditionjoint action:Cost_Benefit
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 17.04 on 1185 degrees of freedom
## (152 observations deleted due to missingness)
## Multiple R-squared: 0.7213, Adjusted R-squared: 0.7192
## F-statistic: 340.7 on 9 and 1185 DF, p-value: < 2.2e-16Zero-sum perceptions
##
## Call:
## lm(formula = ZeroSum ~ condition + Age + Gender.dum + Education +
## IncomeN, data = S2, na.action = na.omit)
##
## Residuals:
## Min 1Q Median 3Q Max
## -67.338 -25.579 -0.836 28.847 67.300
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 84.06373 4.55540 18.454 < 2e-16 ***
## conditionnon joint action 0.10573 2.23910 0.047 0.962346
## conditionjoint action 0.47209 2.24051 0.211 0.833154
## Age -0.33505 0.06321 -5.300 1.38e-07 ***
## Gender.dum 1.66859 1.85115 0.901 0.367571
## Education -3.26362 0.81618 -3.999 6.77e-05 ***
## IncomeN -2.63120 0.77045 -3.415 0.000659 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 31.53 on 1179 degrees of freedom
## (161 observations deleted due to missingness)
## Multiple R-squared: 0.05882, Adjusted R-squared: 0.05403
## F-statistic: 12.28 on 6 and 1179 DF, p-value: 1.926e-13##
## Call:
## lm(formula = ZeroSum ~ condition * Ideology + Age + Gender.dum +
## Education + IncomeN, data = S2, na.action = na.omit)
##
## Residuals:
## Min 1Q Median 3Q Max
## -80.497 -17.291 0.549 17.410 94.704
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 110.471704 4.647523 23.770 < 2e-16 ***
## conditionnon joint action -3.178535 5.193598 -0.612 0.540649
## conditionjoint action 0.003109 5.177190 0.001 0.999521
## Ideology -14.344570 0.946795 -15.151 < 2e-16 ***
## Age -0.139960 0.051935 -2.695 0.007141 **
## Gender.dum 5.107127 1.509414 3.384 0.000739 ***
## Education -0.383237 0.673168 -0.569 0.569259
## IncomeN -0.690574 0.630677 -1.095 0.273753
## conditionnon joint action:Ideology 1.316312 1.304509 1.009 0.313159
## conditionjoint action:Ideology 0.121245 1.317500 0.092 0.926693
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 25.6 on 1176 degrees of freedom
## (161 observations deleted due to missingness)
## Multiple R-squared: 0.3814, Adjusted R-squared: 0.3767
## F-statistic: 80.56 on 9 and 1176 DF, p-value: < 2.2e-16
##
## Call:
## lm(formula = PolicySupport ~ condition * ZeroSum + Age + Gender.dum +
## Education + IncomeN, data = S2, na.action = na.omit)
##
## Residuals:
## Min 1Q Median 3Q Max
## -80.705 -12.107 -0.107 11.788 77.824
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 69.82323 3.40824 20.487 < 2e-16 ***
## conditionnon joint action 2.11660 2.50070 0.846 0.39750
## conditionjoint action 5.22898 2.51331 2.081 0.03769 *
## ZeroSum -0.71906 0.02980 -24.130 < 2e-16 ***
## Age 0.26674 0.03863 6.906 8.14e-12 ***
## Gender.dum 0.51770 1.11890 0.463 0.64368
## Education 1.41882 0.49665 2.857 0.00436 **
## IncomeN 1.40078 0.46771 2.995 0.00280 **
## conditionnon joint action:ZeroSum -0.03356 0.04169 -0.805 0.42104
## conditionjoint action:ZeroSum -0.05904 0.04184 -1.411 0.15849
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 19.04 on 1176 degrees of freedom
## (161 observations deleted due to missingness)
## Multiple R-squared: 0.6507, Adjusted R-squared: 0.648
## F-statistic: 243.4 on 9 and 1176 DF, p-value: < 2.2e-16Network support
##
## Call:
## lm(formula = NetworkSupport ~ condition + Age + Gender.dum +
## Education + IncomeN, data = S2, na.action = na.omit)
##
## Residuals:
## Min 1Q Median 3Q Max
## -59.869 -20.176 2.401 17.649 69.883
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 7.4977 3.3569 2.234 0.0257 *
## conditionnon joint action -0.1410 1.6466 -0.086 0.9318
## conditionjoint action -0.3639 1.6510 -0.220 0.8256
## Age 0.3065 0.0465 6.592 6.51e-11 ***
## Gender.dum 1.8910 1.3626 1.388 0.1654
## Education 2.4058 0.6009 4.003 6.63e-05 ***
## IncomeN 2.9697 0.5682 5.226 2.04e-07 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 23.31 on 1189 degrees of freedom
## (151 observations deleted due to missingness)
## Multiple R-squared: 0.08434, Adjusted R-squared: 0.07972
## F-statistic: 18.25 on 6 and 1189 DF, p-value: < 2.2e-16##
## Call:
## lm(formula = NetworkSupport ~ condition * Ideology + Age + Gender.dum +
## Education + IncomeN, data = S2, na.action = na.omit)
##
## Residuals:
## Min 1Q Median 3Q Max
## -60.10 -13.31 0.17 11.98 83.75
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) -11.229967 3.469523 -3.237 0.001242 **
## conditionnon joint action 2.007249 3.873740 0.518 0.604437
## conditionjoint action -0.236338 3.857871 -0.061 0.951161
## Ideology 10.274753 0.704711 14.580 < 2e-16 ***
## Age 0.164895 0.038729 4.258 2.23e-05 ***
## Gender.dum -0.600884 1.126164 -0.534 0.593741
## Education 0.321796 0.502420 0.640 0.521977
## IncomeN 1.564528 0.471442 3.319 0.000932 ***
## conditionnon joint action:Ideology -0.890950 0.972083 -0.917 0.359571
## conditionjoint action:Ideology 0.001783 0.982012 0.002 0.998551
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 19.17 on 1186 degrees of freedom
## (151 observations deleted due to missingness)
## Multiple R-squared: 0.3818, Adjusted R-squared: 0.3771
## F-statistic: 81.39 on 9 and 1186 DF, p-value: < 2.2e-16
##
## Call:
## lm(formula = PolicySupport ~ condition * NetworkSupport + Age +
## Gender.dum + Education + IncomeN, data = S2, na.action = na.omit)
##
## Residuals:
## Min 1Q Median 3Q Max
## -107.14 -13.42 0.49 13.64 65.50
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 0.42896 3.30666 0.130 0.89680
## conditionnon joint action 1.29389 2.90320 0.446 0.65591
## conditionjoint action 3.61519 2.88222 1.254 0.20998
## NetworkSupport 0.94794 0.04521 20.966 < 2e-16
## Age 0.23870 0.04348 5.490 4.9e-08
## Gender.dum -2.27419 1.25512 -1.812 0.07025
## Education 1.57850 0.56013 2.818 0.00491
## IncomeN 0.63597 0.52832 1.204 0.22892
## conditionnon joint action:NetworkSupport -0.01831 0.06314 -0.290 0.77191
## conditionjoint action:NetworkSupport -0.04229 0.06246 -0.677 0.49851
##
## (Intercept)
## conditionnon joint action
## conditionjoint action
## NetworkSupport ***
## Age ***
## Gender.dum .
## Education **
## IncomeN
## conditionnon joint action:NetworkSupport
## conditionjoint action:NetworkSupport
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 21.4 on 1186 degrees of freedom
## (151 observations deleted due to missingness)
## Multiple R-squared: 0.5604, Adjusted R-squared: 0.5571
## F-statistic: 168 on 9 and 1186 DF, p-value: < 2.2e-16Perceived effectiveness of protest
##
## Call:
## lm(formula = Effective ~ condition + Age + Gender.dum + Education +
## IncomeN, data = S2, na.action = na.omit)
##
## Residuals:
## Min 1Q Median 3Q Max
## -43.713 -17.932 2.356 15.436 67.074
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 23.20888 3.95348 5.870 6.42e-09 ***
## conditionjoint action 1.30904 1.61442 0.811 0.418
## Age 0.25084 0.05615 4.468 9.07e-06 ***
## Gender.dum 1.93072 1.62234 1.190 0.234
## Education -0.26232 0.71593 -0.366 0.714
## IncomeN 1.08015 0.67877 1.591 0.112
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 22.56 on 782 degrees of freedom
## (559 observations deleted due to missingness)
## Multiple R-squared: 0.02966, Adjusted R-squared: 0.02346
## F-statistic: 4.781 on 5 and 782 DF, p-value: 0.0002602##
## Call:
## lm(formula = Effective ~ condition * Ideology + Age + Gender.dum +
## Education + IncomeN, data = S2, na.action = na.omit)
##
## Residuals:
## Min 1Q Median 3Q Max
## -46.351 -18.122 1.937 15.408 66.883
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 18.37998 4.52680 4.060 5.4e-05 ***
## conditionjoint action -1.78494 4.51602 -0.395 0.692770
## Ideology 2.73040 0.81194 3.363 0.000809 ***
## Age 0.20561 0.05584 3.682 0.000247 ***
## Gender.dum 1.18393 1.60078 0.740 0.459769
## Education -0.82174 0.71079 -1.156 0.248000
## IncomeN 0.68175 0.67111 1.016 0.310014
## conditionjoint action:Ideology 0.94588 1.13317 0.835 0.404130
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 22.16 on 780 degrees of freedom
## (559 observations deleted due to missingness)
## Multiple R-squared: 0.06595, Adjusted R-squared: 0.05757
## F-statistic: 7.868 on 7 and 780 DF, p-value: 3.11e-09
perceptions of protest and protesters
##
## Call:
## lm(formula = Delegitimize ~ condition + Age + Gender.dum + Education +
## IncomeN, data = S2, na.action = na.omit)
##
## Residuals:
## Min 1Q Median 3Q Max
## -49.861 -23.011 -5.089 17.258 71.282
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 62.32777 4.93457 12.631 < 2e-16 ***
## conditionjoint action -1.45545 2.01548 -0.722 0.470426
## Age -0.25296 0.07001 -3.613 0.000322 ***
## Gender.dum -1.95047 2.02549 -0.963 0.335864
## Education -3.02838 0.89479 -3.384 0.000749 ***
## IncomeN -1.09110 0.84743 -1.288 0.198285
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 28.2 on 784 degrees of freedom
## (557 observations deleted due to missingness)
## Multiple R-squared: 0.03992, Adjusted R-squared: 0.0338
## F-statistic: 6.52 on 5 and 784 DF, p-value: 5.943e-06##
## Call:
## lm(formula = Delegitimize ~ condition * Ideology + Age + Gender.dum +
## Education + IncomeN, data = S2, na.action = na.omit)
##
## Residuals:
## Min 1Q Median 3Q Max
## -64.599 -17.394 -2.068 15.852 90.705
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 81.52299 5.08781 16.023 <2e-16 ***
## conditionjoint action -1.23127 5.07798 -0.242 0.8085
## Ideology -9.62107 0.91321 -10.535 <2e-16 ***
## Age -0.11067 0.06266 -1.766 0.0778 .
## Gender.dum 0.46875 1.79869 0.261 0.7945
## Education -1.30782 0.79948 -1.636 0.1023
## IncomeN 0.16423 0.75405 0.218 0.8276
## conditionjoint action:Ideology -0.41037 1.27371 -0.322 0.7474
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 24.93 on 782 degrees of freedom
## (557 observations deleted due to missingness)
## Multiple R-squared: 0.2515, Adjusted R-squared: 0.2448
## F-statistic: 37.55 on 7 and 782 DF, p-value: < 2.2e-16
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