Average of DVs
# Average pairs for IN1,IN2
climate_labels$Inj <- rowMeans(climate_labels[, c("IN1", "IN2")], na.rm = TRUE)
# Reverse coding for Harm Attribution
climate_labels$HA2_r <- NA
climate_labels$HA2_r <- 7 - climate_labels$HA2
climate_labels$HA4_r <- NA
climate_labels$HA4_r <- 7 - climate_labels$HA4
# Average pairs for HA
climate_labels$HA_12 <- rowMeans(climate_labels[, c("HA1", "HA2_r")], na.rm = TRUE)
climate_labels$HA_34 <- rowMeans(climate_labels[, c("HA3", "HA4_r")], na.rm = TRUE)
# Reverse coding for Efficacy Beliefs
climate_labels$EB2_r <- NA
climate_labels$EB2_r <- 6 - climate_labels$EB2
climate_labels$EB4_r <- NA
climate_labels$EB4_r <- 6 - climate_labels$EB4
climate_labels$EB6_r <- NA
climate_labels$EB6_r <- 6 - climate_labels$EB6
# Average pairs for EB
climate_labels$EB_12 <- rowMeans(climate_labels[, c("EB1", "EB2_r")], na.rm = TRUE)
climate_labels$EB_34 <- rowMeans(climate_labels[, c("EB3", "EB4_r")], na.rm = TRUE)
climate_labels$EB_56 <- rowMeans(climate_labels[, c("EB5", "EB6_r")], na.rm = TRUE)
# Reverse coding for Systems Responsibility
climate_labels$SR2_r <- NA
climate_labels$SR2_r <- 7 - climate_labels$SR2
climate_labels$SR4_r <- NA
climate_labels$SR4_r <- 7 - climate_labels$SR4
# Average pairs for SR
climate_labels$SR_12 <- rowMeans(climate_labels[, c("SR1", "SR2_r")], na.rm = TRUE)
climate_labels$SR_34 <- rowMeans(climate_labels[, c("SR3", "SR4_r")], na.rm = TRUE)
# Reverse coding for Integral Solutions Mindset
climate_labels$ISM2_r <- NA
climate_labels$ISM2_r <- 6 - climate_labels$ISM2
climate_labels$ISM4_r <- NA
climate_labels$ISM4_r <- 6 - climate_labels$ISM4
climate_labels$ISM6_r <- NA
climate_labels$ISM6_r <- 6 - climate_labels$ISM6
# Average pairs for ISM
climate_labels$ISM_12 <- rowMeans(climate_labels[, c("ISM1", "ISM2_r")], na.rm = TRUE)
climate_labels$ISM_34 <- rowMeans(climate_labels[, c("ISM3", "ISM4_r")], na.rm = TRUE)
climate_labels$ISM_56 <- rowMeans(climate_labels[, c("ISM5", "ISM6_r")], na.rm = TRUE)
Descriptive
variables <- c("Inj", "DN1", "DN2", "DescN",
"HA_12", "HA_34",
"EB_12", "EB_34", "EB_56",
"SR_12", "SR_34",
"ISM_12", "ISM_34", "ISM_56")
summary_table <- climate_labels %>%
group_by(Condition) %>%
summarise(across(all_of(variables), list(mean = ~ mean(.x, na.rm = TRUE),
sd = ~ sd(.x, na.rm = TRUE)))) %>%
pivot_longer(-Condition, names_to = c("Variable", ".value"),
names_pattern = "(.*)_(mean|sd)") %>%
arrange(Variable, Condition)
summary_table <- summary_table %>%
mutate(Mean_SD = paste0(round(mean, 2), " (", round(sd, 2), ")")) %>%
select(Variable, Condition, Mean_SD)
final_table <- summary_table %>%
pivot_wider(names_from = Condition, values_from = Mean_SD)
final_table <- final_table[, colSums(is.na(final_table)) < nrow(final_table)]
final_table <- final_table %>% select(-`NA`)
final_table %>%
kbl(caption = "Means and Standard Deviation by Condition",
format = "html",
align = "c",
digits = 2) %>%
kable_styling(full_width = FALSE,
position = "center",
font_size = 12) %>%
row_spec(0, bold = TRUE)
Means and Standard Deviation by Condition
|
Variable
|
Direct With Societal Change
|
Direct With Support
|
Direct With Support With Societal Change
|
Direct Without Support
|
Indirect With Societal Change
|
Indirect With Support
|
Indirect With Support With Societal Change
|
Indirect Without Support
|
No Label
|
|
DN1
|
4.51 (1.26)
|
4.49 (1.28)
|
4.55 (1.2)
|
4.49 (1.23)
|
4.55 (1.23)
|
4.58 (1.24)
|
4.54 (1.28)
|
4.5 (1.15)
|
4.47 (1.23)
|
|
DN2
|
3.4 (1.41)
|
3.44 (1.42)
|
3.44 (1.42)
|
3.42 (1.32)
|
3.47 (1.46)
|
3.37 (1.42)
|
3.43 (1.42)
|
3.37 (1.46)
|
3.3 (1.42)
|
|
DescN
|
43.43 (23.82)
|
44.16 (24.18)
|
44.8 (23.16)
|
41.3 (23.68)
|
43.74 (24.64)
|
46.83 (24.43)
|
43.67 (24.45)
|
39.91 (25.22)
|
33.98 (24.84)
|
|
EB_12
|
2.95 (1.05)
|
2.76 (1.05)
|
2.82 (1.04)
|
2.87 (1.01)
|
2.86 (1.08)
|
2.86 (1.11)
|
2.82 (1.04)
|
2.83 (1.06)
|
2.87 (1.06)
|
|
EB_34
|
3.18 (0.93)
|
3.06 (0.96)
|
3.07 (0.94)
|
3.08 (0.83)
|
3.17 (0.95)
|
3.15 (0.97)
|
3.1 (0.96)
|
3.1 (0.93)
|
3.16 (0.96)
|
|
EB_56
|
2.61 (1.08)
|
2.58 (1.12)
|
2.5 (1.07)
|
2.6 (1.08)
|
2.6 (1.09)
|
2.62 (1.07)
|
2.59 (1.09)
|
2.64 (1.08)
|
2.63 (1.04)
|
|
HA_12
|
4.26 (1.22)
|
4.16 (1.32)
|
4.08 (1.29)
|
4.26 (1.22)
|
4.19 (1.27)
|
4.22 (1.19)
|
4.18 (1.26)
|
4.18 (1.26)
|
4.03 (1.23)
|
|
HA_34
|
4.31 (1.3)
|
4.22 (1.36)
|
4.19 (1.33)
|
4.3 (1.29)
|
4.27 (1.32)
|
4.27 (1.26)
|
4.2 (1.31)
|
4.22 (1.3)
|
4.13 (1.34)
|
|
ISM_12
|
3.36 (1.04)
|
3.21 (1.09)
|
3.13 (1.1)
|
3.29 (1.09)
|
3.17 (1.1)
|
3.27 (1.08)
|
3.18 (1.09)
|
3.29 (1.08)
|
3.22 (1.13)
|
|
ISM_34
|
3.65 (0.89)
|
3.53 (0.91)
|
3.51 (0.91)
|
3.51 (0.92)
|
3.47 (0.94)
|
3.63 (0.89)
|
3.51 (0.94)
|
3.55 (0.89)
|
3.53 (0.91)
|
|
ISM_56
|
3.58 (1.1)
|
3.49 (1.1)
|
3.37 (1.13)
|
3.48 (1.07)
|
3.4 (1.13)
|
3.52 (1.05)
|
3.46 (1.14)
|
3.51 (1.1)
|
3.5 (1.09)
|
|
Inj
|
2.71 (0.99)
|
2.89 (1.04)
|
2.72 (0.95)
|
2.73 (0.99)
|
2.67 (0.98)
|
2.87 (1)
|
2.69 (0.99)
|
2.63 (0.99)
|
2.56 (0.96)
|
|
SR_12
|
3.78 (1.32)
|
3.71 (1.35)
|
3.66 (1.37)
|
3.8 (1.33)
|
3.7 (1.34)
|
3.8 (1.35)
|
3.75 (1.32)
|
3.8 (1.41)
|
3.69 (1.25)
|
|
SR_34
|
3.8 (1.3)
|
3.73 (1.32)
|
3.75 (1.3)
|
3.81 (1.38)
|
3.67 (1.3)
|
3.88 (1.32)
|
3.78 (1.26)
|
3.9 (1.37)
|
3.76 (1.27)
|
Correlation
dvs <- climate_labels[, c("Inj", "DN1", "DN2", "DescN",
"HA_12", "HA_34",
"EB_12", "EB_34", "EB_56",
"SR_12", "SR_34",
"ISM_12", "ISM_34", "ISM_56")]
cor_matrix <- cor(dvs, use = "complete.obs")
print(cor_matrix)
## Inj DN1 DN2 DescN HA_12 HA_34 EB_12
## Inj 1.0000000 0.3034393 0.5356997 0.5816107 0.3680490 0.3528971 0.4383451
## DN1 0.3034393 1.0000000 0.2575024 0.2305618 0.2127825 0.2201628 0.1683195
## DN2 0.5356997 0.2575024 1.0000000 0.4013786 0.3388615 0.3574229 0.4381992
## DescN 0.5816107 0.2305618 0.4013786 1.0000000 0.3446094 0.3223164 0.3272923
## HA_12 0.3680490 0.2127825 0.3388615 0.3446094 1.0000000 0.8512745 0.4426437
## HA_34 0.3528971 0.2201628 0.3574229 0.3223164 0.8512745 1.0000000 0.4609926
## EB_12 0.4383451 0.1683195 0.4381992 0.3272923 0.4426437 0.4609926 1.0000000
## EB_34 0.3878705 0.2050196 0.4131477 0.2944261 0.4690087 0.4902185 0.6148327
## EB_56 0.4728845 0.1696008 0.4230804 0.3442003 0.3832823 0.3808996 0.6487695
## SR_12 0.2760276 0.1266947 0.2842176 0.2179726 0.4517847 0.4561996 0.5102184
## SR_34 0.2673525 0.1547755 0.2739165 0.2291372 0.4472835 0.4582385 0.5145910
## ISM_12 0.4216142 0.2122344 0.3904008 0.3291507 0.6110485 0.6217566 0.5688091
## ISM_34 0.2215406 0.1582244 0.1720420 0.1890209 0.3831671 0.3929884 0.3377211
## ISM_56 0.4012560 0.2295021 0.4021979 0.3278693 0.6431643 0.6624370 0.5922310
## EB_34 EB_56 SR_12 SR_34 ISM_12 ISM_34 ISM_56
## Inj 0.3878705 0.4728845 0.2760276 0.2673525 0.4216142 0.2215406 0.4012560
## DN1 0.2050196 0.1696008 0.1266947 0.1547755 0.2122344 0.1582244 0.2295021
## DN2 0.4131477 0.4230804 0.2842176 0.2739165 0.3904008 0.1720420 0.4021979
## DescN 0.2944261 0.3442003 0.2179726 0.2291372 0.3291507 0.1890209 0.3278693
## HA_12 0.4690087 0.3832823 0.4517847 0.4472835 0.6110485 0.3831671 0.6431643
## HA_34 0.4902185 0.3808996 0.4561996 0.4582385 0.6217566 0.3929884 0.6624370
## EB_12 0.6148327 0.6487695 0.5102184 0.5145910 0.5688091 0.3377211 0.5922310
## EB_34 1.0000000 0.4561410 0.4422934 0.4533827 0.5337360 0.3514100 0.5849420
## EB_56 0.4561410 1.0000000 0.3946176 0.4018261 0.5103852 0.2463809 0.4769093
## SR_12 0.4422934 0.3946176 1.0000000 0.8089257 0.5094293 0.3727764 0.5302526
## SR_34 0.4533827 0.4018261 0.8089257 1.0000000 0.5112970 0.3790889 0.5401448
## ISM_12 0.5337360 0.5103852 0.5094293 0.5112970 1.0000000 0.4607437 0.7831017
## ISM_34 0.3514100 0.2463809 0.3727764 0.3790889 0.4607437 1.0000000 0.5138200
## ISM_56 0.5849420 0.4769093 0.5302526 0.5401448 0.7831017 0.5138200 1.0000000
corrplot(cor_matrix, method = "circle", type = "upper",
tl.col = "black", tl.srt = 45,
title = "Correlation Plot", mar = c(0, 0, 1, 0))
Point plots for DVs
climate_labels$Condition <- factor(climate_labels$Condition,
levels = c("No Label",
"Direct With Support",
"Indirect With Support",
"Direct Without Support",
"Indirect Without Support",
"Direct With Support With Societal Change",
"Indirect With Support With Societal Change",
"Direct With Societal Change",
"Indirect With Societal Change"),
labels = c("NoLab",
"DirNorm",
"IndNorm",
"Direct",
"Indirect",
"DirNormBE",
"IndNormBE",
"DirBE",
"IndBE"))
variables <- c("Inj", "DN1", "DN2", "DescN",
"HA_12", "HA_34",
"EB_12", "EB_34", "EB_56",
"SR_12", "SR_34",
"ISM_12", "ISM_34", "ISM_56")
for (var in variables) {
plot <- ggplot(climate_labels, aes_string(x = "Condition", y = var)) +
stat_summary(fun.data = "mean_cl_normal", geom = "pointrange",
color = "blue", size = 1) +
theme_minimal() +
labs(title = paste("Point Plot with 95% CIs for", var))
print(plot)
}
## Warning: `aes_string()` was deprecated in ggplot2 3.0.0.
## ℹ Please use tidy evaluation idioms with `aes()`.
## ℹ See also `vignette("ggplot2-in-packages")` for more information.
## This warning is displayed once every 8 hours.
## Call `lifecycle::last_lifecycle_warnings()` to see where this warning was
## generated.
## Warning: Removed 2 rows containing non-finite outside the scale range
## (`stat_summary()`).
## Warning: Removed 2 rows containing non-finite outside the scale range
## (`stat_summary()`).
## Warning: Removed 3 rows containing non-finite outside the scale range
## (`stat_summary()`).
## Warning: Removed 7 rows containing non-finite outside the scale range
## (`stat_summary()`).
## Warning: Removed 3 rows containing non-finite outside the scale range
## (`stat_summary()`).
## Warning: Removed 3 rows containing non-finite outside the scale range
## (`stat_summary()`).
## Warning: Removed 3 rows containing non-finite outside the scale range
## (`stat_summary()`).
## Warning: Removed 3 rows containing non-finite outside the scale range
## (`stat_summary()`).
## Warning: Removed 2 rows containing non-finite outside the scale range
## (`stat_summary()`).
## Warning: Removed 2 rows containing non-finite outside the scale range
## (`stat_summary()`).
## Warning: Removed 2 rows containing non-finite outside the scale range
## (`stat_summary()`).
## Warning: Removed 2 rows containing non-finite outside the scale range
## (`stat_summary()`).
## Warning: Removed 2 rows containing non-finite outside the scale range
## (`stat_summary()`).
## Warning: Removed 2 rows containing non-finite outside the scale range
## (`stat_summary()`).
Pairwise
climate_labels$Condition <- relevel(climate_labels$Condition, ref = "NoLab")
variables <- c("Inj", "DN1", "DN2", "DescN",
"HA_12", "HA_34",
"EB_12", "EB_34", "EB_56",
"SR_12", "SR_34",
"ISM_12", "ISM_34", "ISM_56")
results <- lapply(variables, function(var) {
formula <- as.formula(paste(var, "~ Condition"))
model <- lm(formula, data = climate_labels)
pairwise <- emmeans(model, pairwise ~ Condition)
list(
variable = var,
model_summary = summary(model),
pairwise_summary = summary(pairwise)
)
})
for (res in results) {
cat("Results for ", res$variable, "\n\n")
cat("Model Summary\n")
print(res$model_summary)
cat("\n\n Pairwise Comparisons\n")
print(res$pairwise_summary)
cat("\n\n--------------------------------------------------------------------------------\n\n")
}
## Results for Inj
##
## Model Summary
##
## Call:
## lm(formula = formula, data = climate_labels)
##
## Residuals:
## Min 1Q Median 3Q Max
## -1.8948 -0.7138 -0.1275 0.7684 2.4440
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 2.55597 0.04934 51.802 < 2e-16 ***
## ConditionDirNorm 0.33883 0.06969 4.862 1.21e-06 ***
## ConditionIndNorm 0.31658 0.06952 4.554 5.44e-06 ***
## ConditionDirect 0.17565 0.06952 2.527 0.0116 *
## ConditionIndirect 0.07151 0.06969 1.026 0.3050
## ConditionDirNormBE 0.16584 0.06952 2.385 0.0171 *
## ConditionIndNormBE 0.12985 0.06948 1.869 0.0617 .
## ConditionDirBE 0.15779 0.06956 2.268 0.0234 *
## ConditionIndBE 0.11195 0.06991 1.601 0.1094
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.9893 on 3640 degrees of freedom
## (2 observations deleted due to missingness)
## Multiple R-squared: 0.01048, Adjusted R-squared: 0.008309
## F-statistic: 4.821 on 8 and 3640 DF, p-value: 6.361e-06
##
##
##
## Pairwise Comparisons
## $emmeans
## Condition emmean SE df lower.CL upper.CL
## NoLab 2.56 0.0493 3640 2.46 2.65
## DirNorm 2.89 0.0492 3640 2.80 2.99
## IndNorm 2.87 0.0490 3640 2.78 2.97
## Direct 2.73 0.0490 3640 2.64 2.83
## Indirect 2.63 0.0492 3640 2.53 2.72
## DirNormBE 2.72 0.0490 3640 2.63 2.82
## IndNormBE 2.69 0.0489 3640 2.59 2.78
## DirBE 2.71 0.0490 3640 2.62 2.81
## IndBE 2.67 0.0495 3640 2.57 2.77
##
## Confidence level used: 0.95
##
## $contrasts
## contrast estimate SE df t.ratio p.value
## NoLab - DirNorm -0.33883 0.0697 3640 -4.862 <.0001
## NoLab - IndNorm -0.31658 0.0695 3640 -4.554 0.0002
## NoLab - Direct -0.17565 0.0695 3640 -2.527 0.2194
## NoLab - Indirect -0.07151 0.0697 3640 -1.026 0.9835
## NoLab - DirNormBE -0.16584 0.0695 3640 -2.385 0.2921
## NoLab - IndNormBE -0.12985 0.0695 3640 -1.869 0.6354
## NoLab - DirBE -0.15779 0.0696 3640 -2.268 0.3618
## NoLab - IndBE -0.11195 0.0699 3640 -1.601 0.8044
## DirNorm - IndNorm 0.02225 0.0694 3640 0.320 1.0000
## DirNorm - Direct 0.16318 0.0694 3640 2.350 0.3123
## DirNorm - Indirect 0.26733 0.0696 3640 3.841 0.0040
## DirNorm - DirNormBE 0.17299 0.0694 3640 2.491 0.2363
## DirNorm - IndNormBE 0.20898 0.0694 3640 3.012 0.0653
## DirNorm - DirBE 0.18104 0.0695 3640 2.606 0.1843
## DirNorm - IndBE 0.22688 0.0698 3640 3.249 0.0320
## IndNorm - Direct 0.14093 0.0693 3640 2.035 0.5190
## IndNorm - Indirect 0.24507 0.0694 3640 3.530 0.0125
## IndNorm - DirNormBE 0.15074 0.0693 3640 2.176 0.4215
## IndNorm - IndNormBE 0.18673 0.0692 3640 2.698 0.1489
## IndNorm - DirBE 0.15879 0.0693 3640 2.291 0.3476
## IndNorm - IndBE 0.20463 0.0697 3640 2.938 0.0803
## Direct - Indirect 0.10414 0.0694 3640 1.500 0.8560
## Direct - DirNormBE 0.00980 0.0693 3640 0.142 1.0000
## Direct - IndNormBE 0.04580 0.0692 3640 0.662 0.9992
## Direct - DirBE 0.01786 0.0693 3640 0.258 1.0000
## Direct - IndBE 0.06370 0.0697 3640 0.915 0.9922
## Indirect - DirNormBE -0.09434 0.0694 3640 -1.359 0.9131
## Indirect - IndNormBE -0.05834 0.0694 3640 -0.841 0.9956
## Indirect - DirBE -0.08628 0.0695 3640 -1.242 0.9472
## Indirect - IndBE -0.04044 0.0698 3640 -0.579 0.9997
## DirNormBE - IndNormBE 0.03599 0.0692 3640 0.520 0.9999
## DirNormBE - DirBE 0.00805 0.0693 3640 0.116 1.0000
## DirNormBE - IndBE 0.05389 0.0697 3640 0.774 0.9975
## IndNormBE - DirBE -0.02794 0.0693 3640 -0.403 1.0000
## IndNormBE - IndBE 0.01790 0.0696 3640 0.257 1.0000
## DirBE - IndBE 0.04584 0.0697 3640 0.658 0.9992
##
## P value adjustment: tukey method for comparing a family of 9 estimates
##
##
##
## --------------------------------------------------------------------------------
##
## Results for DN1
##
## Model Summary
##
## Call:
## lm(formula = formula, data = climate_labels)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.5833 -0.5490 0.4167 0.5124 2.5348
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.46517 0.06154 72.554 <2e-16 ***
## ConditionDirNorm 0.02245 0.08693 0.258 0.796
## ConditionIndNorm 0.11816 0.08671 1.363 0.173
## ConditionDirect 0.02747 0.08671 0.317 0.751
## ConditionIndirect 0.02988 0.08693 0.344 0.731
## ConditionDirNormBE 0.08385 0.08671 0.967 0.334
## ConditionIndNormBE 0.07517 0.08666 0.867 0.386
## ConditionDirBE 0.04097 0.08677 0.472 0.637
## ConditionIndBE 0.08620 0.08720 0.989 0.323
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.234 on 3640 degrees of freedom
## (2 observations deleted due to missingness)
## Multiple R-squared: 0.0008664, Adjusted R-squared: -0.00133
## F-statistic: 0.3945 on 8 and 3640 DF, p-value: 0.9241
##
##
##
## Pairwise Comparisons
## $emmeans
## Condition emmean SE df lower.CL upper.CL
## NoLab 4.47 0.0615 3640 4.34 4.59
## DirNorm 4.49 0.0614 3640 4.37 4.61
## IndNorm 4.58 0.0611 3640 4.46 4.70
## Direct 4.49 0.0611 3640 4.37 4.61
## Indirect 4.50 0.0614 3640 4.37 4.62
## DirNormBE 4.55 0.0611 3640 4.43 4.67
## IndNormBE 4.54 0.0610 3640 4.42 4.66
## DirBE 4.51 0.0612 3640 4.39 4.63
## IndBE 4.55 0.0618 3640 4.43 4.67
##
## Confidence level used: 0.95
##
## $contrasts
## contrast estimate SE df t.ratio p.value
## NoLab - DirNorm -0.02245 0.0869 3640 -0.258 1.0000
## NoLab - IndNorm -0.11816 0.0867 3640 -1.363 0.9117
## NoLab - Direct -0.02747 0.0867 3640 -0.317 1.0000
## NoLab - Indirect -0.02988 0.0869 3640 -0.344 1.0000
## NoLab - DirNormBE -0.08385 0.0867 3640 -0.967 0.9887
## NoLab - IndNormBE -0.07517 0.0867 3640 -0.867 0.9946
## NoLab - DirBE -0.04097 0.0868 3640 -0.472 0.9999
## NoLab - IndBE -0.08620 0.0872 3640 -0.989 0.9870
## DirNorm - IndNorm -0.09571 0.0866 3640 -1.105 0.9736
## DirNorm - Direct -0.00502 0.0866 3640 -0.058 1.0000
## DirNorm - Indirect -0.00743 0.0868 3640 -0.086 1.0000
## DirNorm - DirNormBE -0.06140 0.0866 3640 -0.709 0.9987
## DirNorm - IndNormBE -0.05272 0.0866 3640 -0.609 0.9996
## DirNorm - DirBE -0.01852 0.0867 3640 -0.214 1.0000
## DirNorm - IndBE -0.06375 0.0871 3640 -0.732 0.9983
## IndNorm - Direct 0.09069 0.0864 3640 1.050 0.9809
## IndNorm - Indirect 0.08828 0.0866 3640 1.019 0.9841
## IndNorm - DirNormBE 0.03431 0.0864 3640 0.397 1.0000
## IndNorm - IndNormBE 0.04299 0.0863 3640 0.498 0.9999
## IndNorm - DirBE 0.07719 0.0864 3640 0.893 0.9934
## IndNorm - IndBE 0.03195 0.0869 3640 0.368 1.0000
## Direct - Indirect -0.00240 0.0866 3640 -0.028 1.0000
## Direct - DirNormBE -0.05637 0.0864 3640 -0.653 0.9993
## Direct - IndNormBE -0.04770 0.0863 3640 -0.552 0.9998
## Direct - DirBE -0.01350 0.0864 3640 -0.156 1.0000
## Direct - IndBE -0.05873 0.0869 3640 -0.676 0.9991
## Indirect - DirNormBE -0.05397 0.0866 3640 -0.623 0.9995
## Indirect - IndNormBE -0.04529 0.0866 3640 -0.523 0.9999
## Indirect - DirBE -0.01109 0.0867 3640 -0.128 1.0000
## Indirect - IndBE -0.05633 0.0871 3640 -0.647 0.9993
## DirNormBE - IndNormBE 0.00868 0.0863 3640 0.101 1.0000
## DirNormBE - DirBE 0.04288 0.0864 3640 0.496 0.9999
## DirNormBE - IndBE -0.00236 0.0869 3640 -0.027 1.0000
## IndNormBE - DirBE 0.03420 0.0864 3640 0.396 1.0000
## IndNormBE - IndBE -0.01104 0.0868 3640 -0.127 1.0000
## DirBE - IndBE -0.04524 0.0869 3640 -0.520 0.9999
##
## P value adjustment: tukey method for comparing a family of 9 estimates
##
##
##
## --------------------------------------------------------------------------------
##
## Results for DN2
##
## Model Summary
##
## Call:
## lm(formula = formula, data = climate_labels)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.4662 -1.3652 0.5338 0.6990 2.6990
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.30100 0.07071 46.683 <2e-16 ***
## ConditionDirNorm 0.14207 0.09988 1.423 0.1550
## ConditionIndNorm 0.06420 0.09963 0.644 0.5194
## ConditionDirect 0.11812 0.09963 1.186 0.2359
## ConditionIndirect 0.07277 0.09988 0.729 0.4663
## ConditionDirNormBE 0.14018 0.09963 1.407 0.1595
## ConditionIndNormBE 0.13038 0.09963 1.309 0.1908
## ConditionDirBE 0.09950 0.09969 0.998 0.3183
## ConditionIndBE 0.16517 0.10019 1.649 0.0993 .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.418 on 3639 degrees of freedom
## (3 observations deleted due to missingness)
## Multiple R-squared: 0.001144, Adjusted R-squared: -0.001052
## F-statistic: 0.5208 on 8 and 3639 DF, p-value: 0.8417
##
##
##
## Pairwise Comparisons
## $emmeans
## Condition emmean SE df lower.CL upper.CL
## NoLab 3.30 0.0707 3639 3.16 3.44
## DirNorm 3.44 0.0705 3639 3.30 3.58
## IndNorm 3.37 0.0702 3639 3.23 3.50
## Direct 3.42 0.0702 3639 3.28 3.56
## Indirect 3.37 0.0705 3639 3.24 3.51
## DirNormBE 3.44 0.0702 3639 3.30 3.58
## IndNormBE 3.43 0.0702 3639 3.29 3.57
## DirBE 3.40 0.0703 3639 3.26 3.54
## IndBE 3.47 0.0710 3639 3.33 3.61
##
## Confidence level used: 0.95
##
## $contrasts
## contrast estimate SE df t.ratio p.value
## NoLab - DirNorm -0.14207 0.0999 3639 -1.423 0.8894
## NoLab - IndNorm -0.06420 0.0996 3639 -0.644 0.9993
## NoLab - Direct -0.11812 0.0996 3639 -1.186 0.9597
## NoLab - Indirect -0.07277 0.0999 3639 -0.729 0.9984
## NoLab - DirNormBE -0.14018 0.0996 3639 -1.407 0.8955
## NoLab - IndNormBE -0.13038 0.0996 3639 -1.309 0.9291
## NoLab - DirBE -0.09950 0.0997 3639 -0.998 0.9862
## NoLab - IndBE -0.16517 0.1002 3639 -1.649 0.7776
## DirNorm - IndNorm 0.07787 0.0995 3639 0.783 0.9973
## DirNorm - Direct 0.02395 0.0995 3639 0.241 1.0000
## DirNorm - Indirect 0.06931 0.0998 3639 0.695 0.9989
## DirNorm - DirNormBE 0.00189 0.0995 3639 0.019 1.0000
## DirNorm - IndNormBE 0.01170 0.0995 3639 0.118 1.0000
## DirNorm - DirBE 0.04258 0.0996 3639 0.428 1.0000
## DirNorm - IndBE -0.02310 0.1001 3639 -0.231 1.0000
## IndNorm - Direct -0.05392 0.0993 3639 -0.543 0.9998
## IndNorm - Indirect -0.00857 0.0995 3639 -0.086 1.0000
## IndNorm - DirNormBE -0.07598 0.0993 3639 -0.765 0.9977
## IndNorm - IndNormBE -0.06618 0.0993 3639 -0.667 0.9992
## IndNorm - DirBE -0.03530 0.0993 3639 -0.355 1.0000
## IndNorm - IndBE -0.10097 0.0998 3639 -1.012 0.9849
## Direct - Indirect 0.04536 0.0995 3639 0.456 1.0000
## Direct - DirNormBE -0.02206 0.0993 3639 -0.222 1.0000
## Direct - IndNormBE -0.01225 0.0993 3639 -0.123 1.0000
## Direct - DirBE 0.01863 0.0993 3639 0.188 1.0000
## Direct - IndBE -0.04705 0.0998 3639 -0.471 0.9999
## Indirect - DirNormBE -0.06741 0.0995 3639 -0.677 0.9991
## Indirect - IndNormBE -0.05761 0.0995 3639 -0.579 0.9997
## Indirect - DirBE -0.02673 0.0996 3639 -0.268 1.0000
## Indirect - IndBE -0.09240 0.1001 3639 -0.923 0.9917
## DirNormBE - IndNormBE 0.00980 0.0993 3639 0.099 1.0000
## DirNormBE - DirBE 0.04069 0.0993 3639 0.410 1.0000
## DirNormBE - IndBE -0.02499 0.0998 3639 -0.250 1.0000
## IndNormBE - DirBE 0.03088 0.0993 3639 0.311 1.0000
## IndNormBE - IndBE -0.03479 0.0998 3639 -0.349 1.0000
## DirBE - IndBE -0.06567 0.0999 3639 -0.658 0.9992
##
## P value adjustment: tukey method for comparing a family of 9 estimates
##
##
##
## --------------------------------------------------------------------------------
##
## Results for DescN
##
## Model Summary
##
## Call:
## lm(formula = formula, data = climate_labels)
##
## Residuals:
## Min 1Q Median 3Q Max
## -46.833 -19.908 0.092 18.167 60.092
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 33.980 1.211 28.067 < 2e-16 ***
## ConditionDirNorm 10.176 1.710 5.951 2.92e-09 ***
## ConditionIndNorm 12.853 1.707 7.530 6.36e-14 ***
## ConditionDirect 7.321 1.706 4.292 1.82e-05 ***
## ConditionIndirect 5.928 1.711 3.465 0.000537 ***
## ConditionDirNormBE 10.821 1.706 6.344 2.52e-10 ***
## ConditionIndNormBE 9.693 1.707 5.679 1.46e-08 ***
## ConditionDirBE 9.453 1.708 5.535 3.33e-08 ***
## ConditionIndBE 9.757 1.715 5.688 1.39e-08 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 24.27 on 3635 degrees of freedom
## (7 observations deleted due to missingness)
## Multiple R-squared: 0.02053, Adjusted R-squared: 0.01837
## F-statistic: 9.524 on 8 and 3635 DF, p-value: 3.98e-13
##
##
##
## Pairwise Comparisons
## $emmeans
## Condition emmean SE df lower.CL upper.CL
## NoLab 34.0 1.21 3635 31.6 36.4
## DirNorm 44.2 1.21 3635 41.8 46.5
## IndNorm 46.8 1.20 3635 44.5 49.2
## Direct 41.3 1.20 3635 38.9 43.7
## Indirect 39.9 1.21 3635 37.5 42.3
## DirNormBE 44.8 1.20 3635 42.4 47.2
## IndNormBE 43.7 1.20 3635 41.3 46.0
## DirBE 43.4 1.20 3635 41.1 45.8
## IndBE 43.7 1.22 3635 41.4 46.1
##
## Confidence level used: 0.95
##
## $contrasts
## contrast estimate SE df t.ratio p.value
## NoLab - DirNorm -10.1758 1.71 3635 -5.951 <.0001
## NoLab - IndNorm -12.8528 1.71 3635 -7.530 <.0001
## NoLab - Direct -7.3214 1.71 3635 -4.292 0.0006
## NoLab - Indirect -5.9281 1.71 3635 -3.465 0.0157
## NoLab - DirNormBE -10.8214 1.71 3635 -6.344 <.0001
## NoLab - IndNormBE -9.6931 1.71 3635 -5.679 <.0001
## NoLab - DirBE -9.4532 1.71 3635 -5.535 <.0001
## NoLab - IndBE -9.7567 1.72 3635 -5.688 <.0001
## DirNorm - IndNorm -2.6770 1.70 3635 -1.570 0.8211
## DirNorm - Direct 2.8545 1.70 3635 1.675 0.7617
## DirNorm - Indirect 4.2478 1.71 3635 2.486 0.2392
## DirNorm - DirNormBE -0.6455 1.70 3635 -0.379 1.0000
## DirNorm - IndNormBE 0.4827 1.70 3635 0.283 1.0000
## DirNorm - DirBE 0.7227 1.71 3635 0.424 1.0000
## DirNorm - IndBE 0.4191 1.71 3635 0.245 1.0000
## IndNorm - Direct 5.5315 1.70 3635 3.253 0.0316
## IndNorm - Indirect 6.9247 1.71 3635 4.060 0.0017
## IndNorm - DirNormBE 2.0315 1.70 3635 1.195 0.9578
## IndNorm - IndNormBE 3.1597 1.70 3635 1.857 0.6437
## IndNorm - DirBE 3.3997 1.70 3635 1.997 0.5457
## IndNorm - IndBE 3.0961 1.71 3635 1.810 0.6753
## Direct - Indirect 1.3933 1.70 3635 0.817 0.9964
## Direct - DirNormBE -3.5000 1.70 3635 -2.059 0.5016
## Direct - IndNormBE -2.3717 1.70 3635 -1.395 0.9002
## Direct - DirBE -2.1318 1.70 3635 -1.253 0.9444
## Direct - IndBE -2.4354 1.71 3635 -1.425 0.8884
## Indirect - DirNormBE -4.8933 1.70 3635 -2.870 0.0963
## Indirect - IndNormBE -3.7650 1.71 3635 -2.207 0.4010
## Indirect - DirBE -3.5251 1.71 3635 -2.065 0.4975
## Indirect - IndBE -3.8287 1.71 3635 -2.233 0.3840
## DirNormBE - IndNormBE 1.1283 1.70 3635 0.663 0.9992
## DirNormBE - DirBE 1.3682 1.70 3635 0.804 0.9968
## DirNormBE - IndBE 1.0646 1.71 3635 0.623 0.9995
## IndNormBE - DirBE 0.2400 1.70 3635 0.141 1.0000
## IndNormBE - IndBE -0.0636 1.71 3635 -0.037 1.0000
## DirBE - IndBE -0.3036 1.71 3635 -0.177 1.0000
##
## P value adjustment: tukey method for comparing a family of 9 estimates
##
##
##
## --------------------------------------------------------------------------------
##
## Results for HA_12
##
## Model Summary
##
## Call:
## lm(formula = formula, data = climate_labels)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.2617 -0.6942 -0.0348 0.8203 1.9652
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.03483 0.06234 64.721 < 2e-16 ***
## ConditionDirNorm 0.12646 0.08811 1.435 0.15129
## ConditionIndNorm 0.18454 0.08784 2.101 0.03572 *
## ConditionDirect 0.22130 0.08784 2.519 0.01180 *
## ConditionIndirect 0.14834 0.08806 1.685 0.09214 .
## ConditionDirNormBE 0.04238 0.08784 0.482 0.62950
## ConditionIndNormBE 0.14488 0.08779 1.650 0.09895 .
## ConditionDirBE 0.22684 0.08789 2.581 0.00989 **
## ConditionIndBE 0.15941 0.08833 1.805 0.07120 .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.25 on 3639 degrees of freedom
## (3 observations deleted due to missingness)
## Multiple R-squared: 0.003262, Adjusted R-squared: 0.00107
## F-statistic: 1.488 on 8 and 3639 DF, p-value: 0.1558
##
##
##
## Pairwise Comparisons
## $emmeans
## Condition emmean SE df lower.CL upper.CL
## NoLab 4.03 0.0623 3639 3.91 4.16
## DirNorm 4.16 0.0623 3639 4.04 4.28
## IndNorm 4.22 0.0619 3639 4.10 4.34
## Direct 4.26 0.0619 3639 4.13 4.38
## Indirect 4.18 0.0622 3639 4.06 4.31
## DirNormBE 4.08 0.0619 3639 3.96 4.20
## IndNormBE 4.18 0.0618 3639 4.06 4.30
## DirBE 4.26 0.0620 3639 4.14 4.38
## IndBE 4.19 0.0626 3639 4.07 4.32
##
## Confidence level used: 0.95
##
## $contrasts
## contrast estimate SE df t.ratio p.value
## NoLab - DirNorm -0.12646 0.0881 3639 -1.435 0.8843
## NoLab - IndNorm -0.18454 0.0878 3639 -2.101 0.4728
## NoLab - Direct -0.22130 0.0878 3639 -2.519 0.2228
## NoLab - Indirect -0.14834 0.0881 3639 -1.685 0.7562
## NoLab - DirNormBE -0.04238 0.0878 3639 -0.482 0.9999
## NoLab - IndNormBE -0.14488 0.0878 3639 -1.650 0.7766
## NoLab - DirBE -0.22684 0.0879 3639 -2.581 0.1949
## NoLab - IndBE -0.15941 0.0883 3639 -1.805 0.6792
## DirNorm - IndNorm -0.05807 0.0878 3639 -0.662 0.9992
## DirNorm - Direct -0.09484 0.0878 3639 -1.080 0.9771
## DirNorm - Indirect -0.02188 0.0880 3639 -0.249 1.0000
## DirNorm - DirNormBE 0.08408 0.0878 3639 0.958 0.9894
## DirNorm - IndNormBE -0.01842 0.0877 3639 -0.210 1.0000
## DirNorm - DirBE -0.10038 0.0878 3639 -1.143 0.9676
## DirNorm - IndBE -0.03295 0.0883 3639 -0.373 1.0000
## IndNorm - Direct -0.03676 0.0875 3639 -0.420 1.0000
## IndNorm - Indirect 0.03619 0.0877 3639 0.413 1.0000
## IndNorm - DirNormBE 0.14216 0.0875 3639 1.624 0.7916
## IndNorm - IndNormBE 0.03966 0.0875 3639 0.453 1.0000
## IndNorm - DirBE -0.04231 0.0876 3639 -0.483 0.9999
## IndNorm - IndBE 0.02513 0.0880 3639 0.286 1.0000
## Direct - Indirect 0.07296 0.0877 3639 0.832 0.9959
## Direct - DirNormBE 0.17892 0.0875 3639 2.044 0.5121
## Direct - IndNormBE 0.07642 0.0875 3639 0.874 0.9943
## Direct - DirBE -0.00554 0.0876 3639 -0.063 1.0000
## Direct - IndBE 0.06189 0.0880 3639 0.703 0.9988
## Indirect - DirNormBE 0.10596 0.0877 3639 1.208 0.9550
## Indirect - IndNormBE 0.00346 0.0877 3639 0.039 1.0000
## Indirect - DirBE -0.07850 0.0878 3639 -0.894 0.9933
## Indirect - IndBE -0.01107 0.0882 3639 -0.125 1.0000
## DirNormBE - IndNormBE -0.10250 0.0875 3639 -1.172 0.9623
## DirNormBE - DirBE -0.18446 0.0876 3639 -2.107 0.4689
## DirNormBE - IndBE -0.11703 0.0880 3639 -1.330 0.9226
## IndNormBE - DirBE -0.08196 0.0875 3639 -0.937 0.9909
## IndNormBE - IndBE -0.01453 0.0880 3639 -0.165 1.0000
## DirBE - IndBE 0.06744 0.0881 3639 0.766 0.9977
##
## P value adjustment: tukey method for comparing a family of 9 estimates
##
##
##
## --------------------------------------------------------------------------------
##
## Results for HA_34
##
## Model Summary
##
## Call:
## lm(formula = formula, data = climate_labels)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.3096 -0.7221 0.2281 0.8064 1.8731
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.12687 0.06536 63.142 <2e-16 ***
## ConditionDirNorm 0.09522 0.09237 1.031 0.3027
## ConditionIndNorm 0.14152 0.09209 1.537 0.1245
## ConditionDirect 0.17583 0.09209 1.909 0.0563 .
## ConditionIndirect 0.08972 0.09232 0.972 0.3312
## ConditionDirNormBE 0.06676 0.09209 0.725 0.4685
## ConditionIndNormBE 0.07607 0.09203 0.827 0.4086
## ConditionDirBE 0.18272 0.09215 1.983 0.0475 *
## ConditionIndBE 0.14506 0.09260 1.566 0.1173
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.31 on 3639 degrees of freedom
## (3 observations deleted due to missingness)
## Multiple R-squared: 0.001782, Adjusted R-squared: -0.0004124
## F-statistic: 0.8121 on 8 and 3639 DF, p-value: 0.5918
##
##
##
## Pairwise Comparisons
## $emmeans
## Condition emmean SE df lower.CL upper.CL
## NoLab 4.13 0.0654 3639 4.00 4.26
## DirNorm 4.22 0.0653 3639 4.09 4.35
## IndNorm 4.27 0.0649 3639 4.14 4.40
## Direct 4.30 0.0649 3639 4.18 4.43
## Indirect 4.22 0.0652 3639 4.09 4.34
## DirNormBE 4.19 0.0649 3639 4.07 4.32
## IndNormBE 4.20 0.0648 3639 4.08 4.33
## DirBE 4.31 0.0650 3639 4.18 4.44
## IndBE 4.27 0.0656 3639 4.14 4.40
##
## Confidence level used: 0.95
##
## $contrasts
## contrast estimate SE df t.ratio p.value
## NoLab - DirNorm -0.09522 0.0924 3639 -1.031 0.9830
## NoLab - IndNorm -0.14152 0.0921 3639 -1.537 0.8382
## NoLab - Direct -0.17583 0.0921 3639 -1.909 0.6073
## NoLab - Indirect -0.08972 0.0923 3639 -0.972 0.9884
## NoLab - DirNormBE -0.06676 0.0921 3639 -0.725 0.9985
## NoLab - IndNormBE -0.07607 0.0920 3639 -0.827 0.9961
## NoLab - DirBE -0.18272 0.0921 3639 -1.983 0.5555
## NoLab - IndBE -0.14506 0.0926 3639 -1.566 0.8231
## DirNorm - IndNorm -0.04630 0.0920 3639 -0.503 0.9999
## DirNorm - Direct -0.08061 0.0920 3639 -0.876 0.9942
## DirNorm - Indirect 0.00550 0.0923 3639 0.060 1.0000
## DirNorm - DirNormBE 0.02846 0.0920 3639 0.309 1.0000
## DirNorm - IndNormBE 0.01915 0.0920 3639 0.208 1.0000
## DirNorm - DirBE -0.08750 0.0921 3639 -0.950 0.9900
## DirNorm - IndBE -0.04985 0.0925 3639 -0.539 0.9998
## IndNorm - Direct -0.03431 0.0917 3639 -0.374 1.0000
## IndNorm - Indirect 0.05180 0.0920 3639 0.563 0.9998
## IndNorm - DirNormBE 0.07475 0.0917 3639 0.815 0.9965
## IndNorm - IndNormBE 0.06545 0.0917 3639 0.714 0.9986
## IndNorm - DirBE -0.04120 0.0918 3639 -0.449 1.0000
## IndNorm - IndBE -0.00355 0.0923 3639 -0.038 1.0000
## Direct - Indirect 0.08611 0.0920 3639 0.936 0.9909
## Direct - DirNormBE 0.10907 0.0917 3639 1.189 0.9590
## Direct - IndNormBE 0.09976 0.0917 3639 1.088 0.9760
## Direct - DirBE -0.00689 0.0918 3639 -0.075 1.0000
## Direct - IndBE 0.03077 0.0923 3639 0.333 1.0000
## Indirect - DirNormBE 0.02296 0.0920 3639 0.250 1.0000
## Indirect - IndNormBE 0.01365 0.0919 3639 0.149 1.0000
## Indirect - DirBE -0.09300 0.0920 3639 -1.011 0.9850
## Indirect - IndBE -0.05535 0.0925 3639 -0.598 0.9996
## DirNormBE - IndNormBE -0.00931 0.0917 3639 -0.101 1.0000
## DirNormBE - DirBE -0.11595 0.0918 3639 -1.263 0.9418
## DirNormBE - IndBE -0.07830 0.0923 3639 -0.849 0.9953
## IndNormBE - DirBE -0.10665 0.0917 3639 -1.162 0.9641
## IndNormBE - IndBE -0.06900 0.0922 3639 -0.748 0.9981
## DirBE - IndBE 0.03765 0.0923 3639 0.408 1.0000
##
## P value adjustment: tukey method for comparing a family of 9 estimates
##
##
##
## --------------------------------------------------------------------------------
##
## Results for EB_12
##
## Model Summary
##
## Call:
## lm(formula = formula, data = climate_labels)
##
## Residuals:
## Min 1Q Median 3Q Max
## -1.9484 -0.8247 0.1287 0.6683 2.2364
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 2.874378 0.052639 54.605 <2e-16 ***
## ConditionDirNorm -0.110764 0.074351 -1.490 0.136
## ConditionIndNorm -0.015309 0.074169 -0.206 0.836
## ConditionDirect -0.003055 0.074169 -0.041 0.967
## ConditionIndirect -0.042695 0.074351 -0.574 0.566
## ConditionDirNormBE -0.053300 0.074169 -0.719 0.472
## ConditionIndNormBE -0.049623 0.074169 -0.669 0.504
## ConditionDirBE 0.074025 0.074214 0.997 0.319
## ConditionIndBE -0.014729 0.074583 -0.197 0.843
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.055 on 3639 degrees of freedom
## (3 observations deleted due to missingness)
## Multiple R-squared: 0.002016, Adjusted R-squared: -0.0001783
## F-statistic: 0.9187 on 8 and 3639 DF, p-value: 0.4995
##
##
##
## Pairwise Comparisons
## $emmeans
## Condition emmean SE df lower.CL upper.CL
## NoLab 2.87 0.0526 3639 2.77 2.98
## DirNorm 2.76 0.0525 3639 2.66 2.87
## IndNorm 2.86 0.0523 3639 2.76 2.96
## Direct 2.87 0.0523 3639 2.77 2.97
## Indirect 2.83 0.0525 3639 2.73 2.93
## DirNormBE 2.82 0.0523 3639 2.72 2.92
## IndNormBE 2.82 0.0523 3639 2.72 2.93
## DirBE 2.95 0.0523 3639 2.85 3.05
## IndBE 2.86 0.0528 3639 2.76 2.96
##
## Confidence level used: 0.95
##
## $contrasts
## contrast estimate SE df t.ratio p.value
## NoLab - DirNorm 0.11076 0.0744 3639 1.490 0.8607
## NoLab - IndNorm 0.01531 0.0742 3639 0.206 1.0000
## NoLab - Direct 0.00305 0.0742 3639 0.041 1.0000
## NoLab - Indirect 0.04269 0.0744 3639 0.574 0.9997
## NoLab - DirNormBE 0.05330 0.0742 3639 0.719 0.9985
## NoLab - IndNormBE 0.04962 0.0742 3639 0.669 0.9991
## NoLab - DirBE -0.07402 0.0742 3639 -0.997 0.9862
## NoLab - IndBE 0.01473 0.0746 3639 0.197 1.0000
## DirNorm - IndNorm -0.09545 0.0741 3639 -1.289 0.9349
## DirNorm - Direct -0.10771 0.0741 3639 -1.454 0.8764
## DirNorm - Indirect -0.06807 0.0743 3639 -0.917 0.9921
## DirNorm - DirNormBE -0.05746 0.0741 3639 -0.776 0.9975
## DirNorm - IndNormBE -0.06114 0.0741 3639 -0.825 0.9961
## DirNorm - DirBE -0.18479 0.0741 3639 -2.493 0.2355
## DirNorm - IndBE -0.09604 0.0745 3639 -1.289 0.9347
## IndNorm - Direct -0.01225 0.0739 3639 -0.166 1.0000
## IndNorm - Indirect 0.02739 0.0741 3639 0.370 1.0000
## IndNorm - DirNormBE 0.03799 0.0739 3639 0.514 0.9999
## IndNorm - IndNormBE 0.03431 0.0739 3639 0.464 0.9999
## IndNorm - DirBE -0.08933 0.0739 3639 -1.208 0.9549
## IndNorm - IndBE -0.00058 0.0743 3639 -0.008 1.0000
## Direct - Indirect 0.03964 0.0741 3639 0.535 0.9998
## Direct - DirNormBE 0.05025 0.0739 3639 0.680 0.9990
## Direct - IndNormBE 0.04657 0.0739 3639 0.630 0.9994
## Direct - DirBE -0.07708 0.0739 3639 -1.042 0.9817
## Direct - IndBE 0.01167 0.0743 3639 0.157 1.0000
## Indirect - DirNormBE 0.01060 0.0741 3639 0.143 1.0000
## Indirect - IndNormBE 0.00693 0.0741 3639 0.094 1.0000
## Indirect - DirBE -0.11672 0.0741 3639 -1.575 0.8188
## Indirect - IndBE -0.02797 0.0745 3639 -0.375 1.0000
## DirNormBE - IndNormBE -0.00368 0.0739 3639 -0.050 1.0000
## DirNormBE - DirBE -0.12732 0.0739 3639 -1.722 0.7330
## DirNormBE - IndBE -0.03857 0.0743 3639 -0.519 0.9999
## IndNormBE - DirBE -0.12365 0.0739 3639 -1.672 0.7636
## IndNormBE - IndBE -0.03489 0.0743 3639 -0.470 0.9999
## DirBE - IndBE 0.08875 0.0744 3639 1.194 0.9580
##
## P value adjustment: tukey method for comparing a family of 9 estimates
##
##
##
## --------------------------------------------------------------------------------
##
## Results for EB_34
##
## Model Summary
##
## Call:
## lm(formula = formula, data = climate_labels)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.17813 -0.58333 -0.08333 0.43521 1.93936
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.159204 0.046739 67.593 <2e-16 ***
## ConditionDirNorm -0.098560 0.066017 -1.493 0.136
## ConditionIndNorm -0.009694 0.065855 -0.147 0.883
## ConditionDirect -0.075871 0.065855 -1.152 0.249
## ConditionIndirect -0.058956 0.066017 -0.893 0.372
## ConditionDirNormBE -0.093028 0.065855 -1.413 0.158
## ConditionIndNormBE -0.059939 0.065855 -0.910 0.363
## ConditionDirBE 0.018929 0.065895 0.287 0.774
## ConditionIndBE 0.006210 0.066223 0.094 0.925
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.9371 on 3639 degrees of freedom
## (3 observations deleted due to missingness)
## Multiple R-squared: 0.002074, Adjusted R-squared: -0.0001198
## F-statistic: 0.9454 on 8 and 3639 DF, p-value: 0.4774
##
##
##
## Pairwise Comparisons
## $emmeans
## Condition emmean SE df lower.CL upper.CL
## NoLab 3.16 0.0467 3639 3.07 3.25
## DirNorm 3.06 0.0466 3639 2.97 3.15
## IndNorm 3.15 0.0464 3639 3.06 3.24
## Direct 3.08 0.0464 3639 2.99 3.17
## Indirect 3.10 0.0466 3639 3.01 3.19
## DirNormBE 3.07 0.0464 3639 2.98 3.16
## IndNormBE 3.10 0.0464 3639 3.01 3.19
## DirBE 3.18 0.0465 3639 3.09 3.27
## IndBE 3.17 0.0469 3639 3.07 3.26
##
## Confidence level used: 0.95
##
## $contrasts
## contrast estimate SE df t.ratio p.value
## NoLab - DirNorm 0.098560 0.0660 3639 1.493 0.8592
## NoLab - IndNorm 0.009694 0.0659 3639 0.147 1.0000
## NoLab - Direct 0.075871 0.0659 3639 1.152 0.9660
## NoLab - Indirect 0.058956 0.0660 3639 0.893 0.9934
## NoLab - DirNormBE 0.093028 0.0659 3639 1.413 0.8933
## NoLab - IndNormBE 0.059939 0.0659 3639 0.910 0.9925
## NoLab - DirBE -0.018929 0.0659 3639 -0.287 1.0000
## NoLab - IndBE -0.006210 0.0662 3639 -0.094 1.0000
## DirNorm - IndNorm -0.088866 0.0658 3639 -1.351 0.9156
## DirNorm - Direct -0.022690 0.0658 3639 -0.345 1.0000
## DirNorm - Indirect -0.039604 0.0659 3639 -0.601 0.9996
## DirNorm - DirNormBE -0.005533 0.0658 3639 -0.084 1.0000
## DirNorm - IndNormBE -0.038621 0.0658 3639 -0.587 0.9997
## DirNorm - DirBE -0.117489 0.0658 3639 -1.785 0.6922
## DirNorm - IndBE -0.104770 0.0661 3639 -1.584 0.8138
## IndNorm - Direct 0.066176 0.0656 3639 1.009 0.9852
## IndNorm - Indirect 0.049262 0.0658 3639 0.749 0.9980
## IndNorm - DirNormBE 0.083333 0.0656 3639 1.270 0.9400
## IndNorm - IndNormBE 0.050245 0.0656 3639 0.766 0.9977
## IndNorm - DirBE -0.028623 0.0657 3639 -0.436 1.0000
## IndNorm - IndBE -0.015904 0.0660 3639 -0.241 1.0000
## Direct - Indirect -0.016914 0.0658 3639 -0.257 1.0000
## Direct - DirNormBE 0.017157 0.0656 3639 0.261 1.0000
## Direct - IndNormBE -0.015931 0.0656 3639 -0.243 1.0000
## Direct - DirBE -0.094799 0.0657 3639 -1.444 0.8807
## Direct - IndBE -0.082080 0.0660 3639 -1.244 0.9466
## Indirect - DirNormBE 0.034071 0.0658 3639 0.518 0.9999
## Indirect - IndNormBE 0.000983 0.0658 3639 0.015 1.0000
## Indirect - DirBE -0.077885 0.0658 3639 -1.183 0.9601
## Indirect - IndBE -0.065166 0.0661 3639 -0.985 0.9873
## DirNormBE - IndNormBE -0.033088 0.0656 3639 -0.504 0.9999
## DirNormBE - DirBE -0.111956 0.0657 3639 -1.705 0.7435
## DirNormBE - IndBE -0.099237 0.0660 3639 -1.504 0.8540
## IndNormBE - DirBE -0.078868 0.0657 3639 -1.201 0.9564
## IndNormBE - IndBE -0.066149 0.0660 3639 -1.003 0.9857
## DirBE - IndBE 0.012719 0.0660 3639 0.193 1.0000
##
## P value adjustment: tukey method for comparing a family of 9 estimates
##
##
##
## --------------------------------------------------------------------------------
##
## Results for EB_56
##
## Model Summary
##
## Call:
## lm(formula = formula, data = climate_labels)
##
## Residuals:
## Min 1Q Median 3Q Max
## -1.64109 -0.99632 -0.09559 0.87438 2.50368
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 2.625622 0.053819 48.786 <2e-16 ***
## ConditionDirNorm -0.042701 0.076018 -0.562 0.5743
## ConditionIndNorm -0.007975 0.075832 -0.105 0.9163
## ConditionDirect -0.030034 0.075832 -0.396 0.6921
## ConditionIndirect 0.015467 0.076018 0.203 0.8388
## ConditionDirNormBE -0.129298 0.075832 -1.705 0.0883 .
## ConditionIndNormBE -0.035157 0.075786 -0.464 0.6427
## ConditionDirBE -0.011371 0.075878 -0.150 0.8809
## ConditionIndBE -0.024118 0.076255 -0.316 0.7518
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.079 on 3640 degrees of freedom
## (2 observations deleted due to missingness)
## Multiple R-squared: 0.001331, Adjusted R-squared: -0.000864
## F-statistic: 0.6063 on 8 and 3640 DF, p-value: 0.7733
##
##
##
## Pairwise Comparisons
## $emmeans
## Condition emmean SE df lower.CL upper.CL
## NoLab 2.63 0.0538 3640 2.52 2.73
## DirNorm 2.58 0.0537 3640 2.48 2.69
## IndNorm 2.62 0.0534 3640 2.51 2.72
## Direct 2.60 0.0534 3640 2.49 2.70
## Indirect 2.64 0.0537 3640 2.54 2.75
## DirNormBE 2.50 0.0534 3640 2.39 2.60
## IndNormBE 2.59 0.0534 3640 2.49 2.70
## DirBE 2.61 0.0535 3640 2.51 2.72
## IndBE 2.60 0.0540 3640 2.50 2.71
##
## Confidence level used: 0.95
##
## $contrasts
## contrast estimate SE df t.ratio p.value
## NoLab - DirNorm 0.04270 0.0760 3640 0.562 0.9998
## NoLab - IndNorm 0.00797 0.0758 3640 0.105 1.0000
## NoLab - Direct 0.03003 0.0758 3640 0.396 1.0000
## NoLab - Indirect -0.01547 0.0760 3640 -0.203 1.0000
## NoLab - DirNormBE 0.12930 0.0758 3640 1.705 0.7436
## NoLab - IndNormBE 0.03516 0.0758 3640 0.464 0.9999
## NoLab - DirBE 0.01137 0.0759 3640 0.150 1.0000
## NoLab - IndBE 0.02412 0.0763 3640 0.316 1.0000
## DirNorm - IndNorm -0.03473 0.0757 3640 -0.459 0.9999
## DirNorm - Direct -0.01267 0.0757 3640 -0.167 1.0000
## DirNorm - Indirect -0.05817 0.0759 3640 -0.766 0.9977
## DirNorm - DirNormBE 0.08660 0.0757 3640 1.143 0.9675
## DirNorm - IndNormBE -0.00754 0.0757 3640 -0.100 1.0000
## DirNorm - DirBE -0.03133 0.0758 3640 -0.413 1.0000
## DirNorm - IndBE -0.01858 0.0762 3640 -0.244 1.0000
## IndNorm - Direct 0.02206 0.0756 3640 0.292 1.0000
## IndNorm - Indirect -0.02344 0.0757 3640 -0.310 1.0000
## IndNorm - DirNormBE 0.12132 0.0756 3640 1.606 0.8019
## IndNorm - IndNormBE 0.02718 0.0755 3640 0.360 1.0000
## IndNorm - DirBE 0.00340 0.0756 3640 0.045 1.0000
## IndNorm - IndBE 0.01614 0.0760 3640 0.212 1.0000
## Direct - Indirect -0.04550 0.0757 3640 -0.601 0.9996
## Direct - DirNormBE 0.09926 0.0756 3640 1.314 0.9275
## Direct - IndNormBE 0.00512 0.0755 3640 0.068 1.0000
## Direct - DirBE -0.01866 0.0756 3640 -0.247 1.0000
## Direct - IndBE -0.00592 0.0760 3640 -0.078 1.0000
## Indirect - DirNormBE 0.14477 0.0757 3640 1.911 0.6058
## Indirect - IndNormBE 0.05062 0.0757 3640 0.669 0.9991
## Indirect - DirBE 0.02684 0.0758 3640 0.354 1.0000
## Indirect - IndBE 0.03959 0.0762 3640 0.520 0.9999
## DirNormBE - IndNormBE -0.09414 0.0755 3640 -1.247 0.9459
## DirNormBE - DirBE -0.11793 0.0756 3640 -1.560 0.8265
## DirNormBE - IndBE -0.10518 0.0760 3640 -1.384 0.9040
## IndNormBE - DirBE -0.02379 0.0756 3640 -0.315 1.0000
## IndNormBE - IndBE -0.01104 0.0759 3640 -0.145 1.0000
## DirBE - IndBE 0.01275 0.0760 3640 0.168 1.0000
##
## P value adjustment: tukey method for comparing a family of 9 estimates
##
##
##
## --------------------------------------------------------------------------------
##
## Results for SR_12
##
## Model Summary
##
## Call:
## lm(formula = formula, data = climate_labels)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.2995 -0.7494 -0.1940 0.7506 2.8431
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.69403 0.06664 55.429 <2e-16 ***
## ConditionDirNorm 0.01513 0.09413 0.161 0.872
## ConditionIndNorm 0.10254 0.09390 1.092 0.275
## ConditionDirect 0.10254 0.09390 1.092 0.275
## ConditionIndirect 0.10548 0.09413 1.120 0.263
## ConditionDirNormBE -0.03717 0.09390 -0.396 0.692
## ConditionIndNormBE 0.05536 0.09385 0.590 0.555
## ConditionDirBE 0.08607 0.09396 0.916 0.360
## ConditionIndBE 0.01023 0.09443 0.108 0.914
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.336 on 3640 degrees of freedom
## (2 observations deleted due to missingness)
## Multiple R-squared: 0.001423, Adjusted R-squared: -0.0007717
## F-statistic: 0.6484 on 8 and 3640 DF, p-value: 0.7374
##
##
##
## Pairwise Comparisons
## $emmeans
## Condition emmean SE df lower.CL upper.CL
## NoLab 3.69 0.0666 3640 3.56 3.82
## DirNorm 3.71 0.0665 3640 3.58 3.84
## IndNorm 3.80 0.0662 3640 3.67 3.93
## Direct 3.80 0.0662 3640 3.67 3.93
## Indirect 3.80 0.0665 3640 3.67 3.93
## DirNormBE 3.66 0.0662 3640 3.53 3.79
## IndNormBE 3.75 0.0661 3640 3.62 3.88
## DirBE 3.78 0.0662 3640 3.65 3.91
## IndBE 3.70 0.0669 3640 3.57 3.84
##
## Confidence level used: 0.95
##
## $contrasts
## contrast estimate SE df t.ratio p.value
## NoLab - DirNorm -0.01513 0.0941 3640 -0.161 1.0000
## NoLab - IndNorm -0.10254 0.0939 3640 -1.092 0.9755
## NoLab - Direct -0.10254 0.0939 3640 -1.092 0.9755
## NoLab - Indirect -0.10548 0.0941 3640 -1.120 0.9713
## NoLab - DirNormBE 0.03717 0.0939 3640 0.396 1.0000
## NoLab - IndNormBE -0.05536 0.0938 3640 -0.590 0.9997
## NoLab - DirBE -0.08607 0.0940 3640 -0.916 0.9921
## NoLab - IndBE -0.01023 0.0944 3640 -0.108 1.0000
## DirNorm - IndNorm -0.08741 0.0938 3640 -0.932 0.9912
## DirNorm - Direct -0.08741 0.0938 3640 -0.932 0.9912
## DirNorm - Indirect -0.09035 0.0940 3640 -0.961 0.9892
## DirNorm - DirNormBE 0.05230 0.0938 3640 0.558 0.9998
## DirNorm - IndNormBE -0.04023 0.0937 3640 -0.429 1.0000
## DirNorm - DirBE -0.07094 0.0938 3640 -0.756 0.9979
## DirNorm - IndBE 0.00490 0.0943 3640 0.052 1.0000
## IndNorm - Direct 0.00000 0.0936 3640 0.000 1.0000
## IndNorm - Indirect -0.00294 0.0938 3640 -0.031 1.0000
## IndNorm - DirNormBE 0.13971 0.0936 3640 1.493 0.8590
## IndNorm - IndNormBE 0.04718 0.0935 3640 0.505 0.9999
## IndNorm - DirBE 0.01647 0.0936 3640 0.176 1.0000
## IndNorm - IndBE 0.09231 0.0941 3640 0.981 0.9876
## Direct - Indirect -0.00294 0.0938 3640 -0.031 1.0000
## Direct - DirNormBE 0.13971 0.0936 3640 1.493 0.8590
## Direct - IndNormBE 0.04718 0.0935 3640 0.505 0.9999
## Direct - DirBE 0.01647 0.0936 3640 0.176 1.0000
## Direct - IndBE 0.09231 0.0941 3640 0.981 0.9876
## Indirect - DirNormBE 0.14264 0.0938 3640 1.521 0.8460
## Indirect - IndNormBE 0.05012 0.0937 3640 0.535 0.9998
## Indirect - DirBE 0.01941 0.0938 3640 0.207 1.0000
## Indirect - IndBE 0.09524 0.0943 3640 1.010 0.9851
## DirNormBE - IndNormBE -0.09253 0.0935 3640 -0.990 0.9869
## DirNormBE - DirBE -0.12324 0.0936 3640 -1.316 0.9267
## DirNormBE - IndBE -0.04740 0.0941 3640 -0.504 0.9999
## IndNormBE - DirBE -0.03071 0.0936 3640 -0.328 1.0000
## IndNormBE - IndBE 0.04513 0.0940 3640 0.480 0.9999
## DirBE - IndBE 0.07584 0.0941 3640 0.806 0.9967
##
## P value adjustment: tukey method for comparing a family of 9 estimates
##
##
##
## --------------------------------------------------------------------------------
##
## Results for SR_34
##
## Model Summary
##
## Call:
## lm(formula = formula, data = climate_labels)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.3973 -0.7575 -0.2302 0.7225 2.8346
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.757463 0.065543 57.328 <2e-16 ***
## ConditionDirNorm -0.027265 0.092577 -0.295 0.768
## ConditionIndNorm 0.119988 0.092351 1.299 0.194
## ConditionDirect 0.057488 0.092351 0.622 0.534
## ConditionIndirect 0.139815 0.092577 1.510 0.131
## ConditionDirNormBE -0.006237 0.092351 -0.068 0.946
## ConditionIndNormBE 0.020043 0.092295 0.217 0.828
## ConditionDirBE 0.041063 0.092407 0.444 0.657
## ConditionIndBE -0.092049 0.092866 -0.991 0.322
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.314 on 3640 degrees of freedom
## (2 observations deleted due to missingness)
## Multiple R-squared: 0.002654, Adjusted R-squared: 0.0004625
## F-statistic: 1.211 on 8 and 3640 DF, p-value: 0.288
##
##
##
## Pairwise Comparisons
## $emmeans
## Condition emmean SE df lower.CL upper.CL
## NoLab 3.76 0.0655 3640 3.63 3.89
## DirNorm 3.73 0.0654 3640 3.60 3.86
## IndNorm 3.88 0.0651 3640 3.75 4.01
## Direct 3.81 0.0651 3640 3.69 3.94
## Indirect 3.90 0.0654 3640 3.77 4.03
## DirNormBE 3.75 0.0651 3640 3.62 3.88
## IndNormBE 3.78 0.0650 3640 3.65 3.90
## DirBE 3.80 0.0651 3640 3.67 3.93
## IndBE 3.67 0.0658 3640 3.54 3.79
##
## Confidence level used: 0.95
##
## $contrasts
## contrast estimate SE df t.ratio p.value
## NoLab - DirNorm 0.02726 0.0926 3640 0.295 1.0000
## NoLab - IndNorm -0.11999 0.0924 3640 -1.299 0.9318
## NoLab - Direct -0.05749 0.0924 3640 -0.622 0.9995
## NoLab - Indirect -0.13981 0.0926 3640 -1.510 0.8511
## NoLab - DirNormBE 0.00624 0.0924 3640 0.068 1.0000
## NoLab - IndNormBE -0.02004 0.0923 3640 -0.217 1.0000
## NoLab - DirBE -0.04106 0.0924 3640 -0.444 1.0000
## NoLab - IndBE 0.09205 0.0929 3640 0.991 0.9868
## DirNorm - IndNorm -0.14725 0.0922 3640 -1.596 0.8071
## DirNorm - Direct -0.08475 0.0922 3640 -0.919 0.9920
## DirNorm - Indirect -0.16708 0.0925 3640 -1.807 0.6776
## DirNorm - DirNormBE -0.02103 0.0922 3640 -0.228 1.0000
## DirNorm - IndNormBE -0.04731 0.0922 3640 -0.513 0.9999
## DirNorm - DirBE -0.06833 0.0923 3640 -0.740 0.9982
## DirNorm - IndBE 0.06478 0.0928 3640 0.698 0.9988
## IndNorm - Direct 0.06250 0.0920 3640 0.679 0.9990
## IndNorm - Indirect -0.01983 0.0922 3640 -0.215 1.0000
## IndNorm - DirNormBE 0.12623 0.0920 3640 1.372 0.9085
## IndNorm - IndNormBE 0.09994 0.0920 3640 1.087 0.9762
## IndNorm - DirBE 0.07893 0.0921 3640 0.857 0.9950
## IndNorm - IndBE 0.21204 0.0925 3640 2.292 0.3473
## Direct - Indirect -0.08233 0.0922 3640 -0.893 0.9934
## Direct - DirNormBE 0.06373 0.0920 3640 0.693 0.9989
## Direct - IndNormBE 0.03744 0.0920 3640 0.407 1.0000
## Direct - DirBE 0.01643 0.0921 3640 0.178 1.0000
## Direct - IndBE 0.14954 0.0925 3640 1.616 0.7962
## Indirect - DirNormBE 0.14605 0.0922 3640 1.583 0.8141
## Indirect - IndNormBE 0.11977 0.0922 3640 1.299 0.9318
## Indirect - DirBE 0.09875 0.0923 3640 1.070 0.9784
## Indirect - IndBE 0.23186 0.0928 3640 2.500 0.2322
## DirNormBE - IndNormBE -0.02628 0.0920 3640 -0.286 1.0000
## DirNormBE - DirBE -0.04730 0.0921 3640 -0.514 0.9999
## DirNormBE - IndBE 0.08581 0.0925 3640 0.927 0.9915
## IndNormBE - DirBE -0.02102 0.0920 3640 -0.228 1.0000
## IndNormBE - IndBE 0.11209 0.0925 3640 1.212 0.9541
## DirBE - IndBE 0.13311 0.0926 3640 1.438 0.8832
##
## P value adjustment: tukey method for comparing a family of 9 estimates
##
##
##
## --------------------------------------------------------------------------------
##
## Results for ISM_12
##
## Model Summary
##
## Call:
## lm(formula = formula, data = climate_labels)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.3563 -0.6785 0.1437 0.7908 1.8738
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.218905 0.054314 59.265 <2e-16 ***
## ConditionDirNorm -0.009747 0.076716 -0.127 0.8989
## ConditionIndNorm 0.047026 0.076528 0.614 0.5389
## ConditionDirect 0.066634 0.076528 0.871 0.3840
## ConditionIndirect 0.073174 0.076716 0.954 0.3402
## ConditionDirNormBE -0.092680 0.076528 -1.211 0.2260
## ConditionIndNormBE -0.040421 0.076482 -0.529 0.5972
## ConditionDirBE 0.137360 0.076575 1.794 0.0729 .
## ConditionIndBE -0.049733 0.076955 -0.646 0.5182
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.089 on 3640 degrees of freedom
## (2 observations deleted due to missingness)
## Multiple R-squared: 0.003914, Adjusted R-squared: 0.001725
## F-statistic: 1.788 on 8 and 3640 DF, p-value: 0.07455
##
##
##
## Pairwise Comparisons
## $emmeans
## Condition emmean SE df lower.CL upper.CL
## NoLab 3.22 0.0543 3640 3.11 3.33
## DirNorm 3.21 0.0542 3640 3.10 3.32
## IndNorm 3.27 0.0539 3640 3.16 3.37
## Direct 3.29 0.0539 3640 3.18 3.39
## Indirect 3.29 0.0542 3640 3.19 3.40
## DirNormBE 3.13 0.0539 3640 3.02 3.23
## IndNormBE 3.18 0.0538 3640 3.07 3.28
## DirBE 3.36 0.0540 3640 3.25 3.46
## IndBE 3.17 0.0545 3640 3.06 3.28
##
## Confidence level used: 0.95
##
## $contrasts
## contrast estimate SE df t.ratio p.value
## NoLab - DirNorm 0.00975 0.0767 3640 0.127 1.0000
## NoLab - IndNorm -0.04703 0.0765 3640 -0.614 0.9995
## NoLab - Direct -0.06663 0.0765 3640 -0.871 0.9944
## NoLab - Indirect -0.07317 0.0767 3640 -0.954 0.9897
## NoLab - DirNormBE 0.09268 0.0765 3640 1.211 0.9543
## NoLab - IndNormBE 0.04042 0.0765 3640 0.529 0.9998
## NoLab - DirBE -0.13736 0.0766 3640 -1.794 0.6865
## NoLab - IndBE 0.04973 0.0770 3640 0.646 0.9993
## DirNorm - IndNorm -0.05677 0.0764 3640 -0.743 0.9982
## DirNorm - Direct -0.07638 0.0764 3640 -0.999 0.9860
## DirNorm - Indirect -0.08292 0.0766 3640 -1.082 0.9768
## DirNorm - DirNormBE 0.08293 0.0764 3640 1.085 0.9765
## DirNorm - IndNormBE 0.03067 0.0764 3640 0.402 1.0000
## DirNorm - DirBE -0.14711 0.0765 3640 -1.923 0.5974
## DirNorm - IndBE 0.03999 0.0769 3640 0.520 0.9999
## IndNorm - Direct -0.01961 0.0762 3640 -0.257 1.0000
## IndNorm - Indirect -0.02615 0.0764 3640 -0.342 1.0000
## IndNorm - DirNormBE 0.13971 0.0762 3640 1.832 0.6605
## IndNorm - IndNormBE 0.08745 0.0762 3640 1.148 0.9668
## IndNorm - DirBE -0.09033 0.0763 3640 -1.184 0.9600
## IndNorm - IndBE 0.09676 0.0767 3640 1.262 0.9421
## Direct - Indirect -0.00654 0.0764 3640 -0.086 1.0000
## Direct - DirNormBE 0.15931 0.0762 3640 2.090 0.4806
## Direct - IndNormBE 0.10706 0.0762 3640 1.405 0.8963
## Direct - DirBE -0.07073 0.0763 3640 -0.927 0.9915
## Direct - IndBE 0.11637 0.0767 3640 1.518 0.8475
## Indirect - DirNormBE 0.16585 0.0764 3640 2.170 0.4257
## Indirect - IndNormBE 0.11360 0.0764 3640 1.487 0.8619
## Indirect - DirBE -0.06419 0.0765 3640 -0.839 0.9957
## Indirect - IndBE 0.12291 0.0769 3640 1.599 0.8056
## DirNormBE - IndNormBE -0.05226 0.0762 3640 -0.686 0.9990
## DirNormBE - DirBE -0.23004 0.0763 3640 -3.015 0.0646
## DirNormBE - IndBE -0.04295 0.0767 3640 -0.560 0.9998
## IndNormBE - DirBE -0.17778 0.0762 3640 -2.332 0.3231
## IndNormBE - IndBE 0.00931 0.0766 3640 0.122 1.0000
## DirBE - IndBE 0.18709 0.0767 3640 2.439 0.2632
##
## P value adjustment: tukey method for comparing a family of 9 estimates
##
##
##
## --------------------------------------------------------------------------------
##
## Results for ISM_34
##
## Model Summary
##
## Call:
## lm(formula = formula, data = climate_labels)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.65233 -0.54579 -0.03465 0.84767 1.52632
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.532338 0.045384 77.832 <2e-16 ***
## ConditionDirNorm 0.002315 0.064103 0.036 0.9712
## ConditionIndNorm 0.093887 0.063946 1.468 0.1421
## ConditionDirect -0.022534 0.063946 -0.352 0.7246
## ConditionIndirect 0.013454 0.064103 0.210 0.8338
## ConditionDirNormBE -0.026211 0.063946 -0.410 0.6819
## ConditionIndNormBE -0.022558 0.063907 -0.353 0.7241
## ConditionDirBE 0.119996 0.063985 1.875 0.0608 .
## ConditionIndBE -0.058654 0.064303 -0.912 0.3618
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.9099 on 3640 degrees of freedom
## (2 observations deleted due to missingness)
## Multiple R-squared: 0.003682, Adjusted R-squared: 0.001493
## F-statistic: 1.682 on 8 and 3640 DF, p-value: 0.09758
##
##
##
## Pairwise Comparisons
## $emmeans
## Condition emmean SE df lower.CL upper.CL
## NoLab 3.53 0.0454 3640 3.44 3.62
## DirNorm 3.53 0.0453 3640 3.45 3.62
## IndNorm 3.63 0.0450 3640 3.54 3.71
## Direct 3.51 0.0450 3640 3.42 3.60
## Indirect 3.55 0.0453 3640 3.46 3.63
## DirNormBE 3.51 0.0450 3640 3.42 3.59
## IndNormBE 3.51 0.0450 3640 3.42 3.60
## DirBE 3.65 0.0451 3640 3.56 3.74
## IndBE 3.47 0.0456 3640 3.38 3.56
##
## Confidence level used: 0.95
##
## $contrasts
## contrast estimate SE df t.ratio p.value
## NoLab - DirNorm -0.002315 0.0641 3640 -0.036 1.0000
## NoLab - IndNorm -0.093887 0.0639 3640 -1.468 0.8703
## NoLab - Direct 0.022534 0.0639 3640 0.352 1.0000
## NoLab - Indirect -0.013454 0.0641 3640 -0.210 1.0000
## NoLab - DirNormBE 0.026211 0.0639 3640 0.410 1.0000
## NoLab - IndNormBE 0.022558 0.0639 3640 0.353 1.0000
## NoLab - DirBE -0.119996 0.0640 3640 -1.875 0.6309
## NoLab - IndBE 0.058654 0.0643 3640 0.912 0.9924
## DirNorm - IndNorm -0.091572 0.0639 3640 -1.434 0.8849
## DirNorm - Direct 0.024850 0.0639 3640 0.389 1.0000
## DirNorm - Indirect -0.011139 0.0640 3640 -0.174 1.0000
## DirNorm - DirNormBE 0.028526 0.0639 3640 0.447 1.0000
## DirNorm - IndNormBE 0.024874 0.0638 3640 0.390 1.0000
## DirNorm - DirBE -0.117681 0.0639 3640 -1.841 0.6543
## DirNorm - IndBE 0.060969 0.0642 3640 0.949 0.9900
## IndNorm - Direct 0.116422 0.0637 3640 1.827 0.6639
## IndNorm - Indirect 0.080433 0.0639 3640 1.259 0.9428
## IndNorm - DirNormBE 0.120098 0.0637 3640 1.885 0.6242
## IndNorm - IndNormBE 0.116446 0.0637 3640 1.829 0.6628
## IndNorm - DirBE -0.026109 0.0637 3640 -0.410 1.0000
## IndNorm - IndBE 0.152541 0.0641 3640 2.381 0.2947
## Direct - Indirect -0.035988 0.0639 3640 -0.563 0.9998
## Direct - DirNormBE 0.003676 0.0637 3640 0.058 1.0000
## Direct - IndNormBE 0.000024 0.0637 3640 0.000 1.0000
## Direct - DirBE -0.142530 0.0637 3640 -2.236 0.3824
## Direct - IndBE 0.036120 0.0641 3640 0.564 0.9998
## Indirect - DirNormBE 0.039665 0.0639 3640 0.621 0.9995
## Indirect - IndNormBE 0.036012 0.0638 3640 0.564 0.9998
## Indirect - DirBE -0.106542 0.0639 3640 -1.667 0.7667
## Indirect - IndBE 0.072108 0.0642 3640 1.123 0.9709
## DirNormBE - IndNormBE -0.003652 0.0637 3640 -0.057 1.0000
## DirNormBE - DirBE -0.146207 0.0637 3640 -2.294 0.3462
## DirNormBE - IndBE 0.032443 0.0641 3640 0.506 0.9999
## IndNormBE - DirBE -0.142554 0.0637 3640 -2.238 0.3813
## IndNormBE - IndBE 0.036096 0.0640 3640 0.564 0.9998
## DirBE - IndBE 0.178650 0.0641 3640 2.787 0.1195
##
## P value adjustment: tukey method for comparing a family of 9 estimates
##
##
##
## --------------------------------------------------------------------------------
##
## Results for ISM_56
##
## Model Summary
##
## Call:
## lm(formula = formula, data = climate_labels)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.57985 -0.52206 0.01716 0.99381 1.63235
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.502488 0.054935 63.757 <2e-16 ***
## ConditionDirNorm -0.011151 0.077594 -0.144 0.8857
## ConditionIndNorm 0.019571 0.077404 0.253 0.8004
## ConditionDirect -0.019644 0.077404 -0.254 0.7997
## ConditionIndirect 0.003701 0.077594 0.048 0.9620
## ConditionDirNormBE -0.134841 0.077404 -1.742 0.0816 .
## ConditionIndNormBE -0.045275 0.077357 -0.585 0.5584
## ConditionDirBE 0.077365 0.077451 0.999 0.3179
## ConditionIndBE -0.097726 0.077836 -1.256 0.2094
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.101 on 3640 degrees of freedom
## (2 observations deleted due to missingness)
## Multiple R-squared: 0.002921, Adjusted R-squared: 0.0007293
## F-statistic: 1.333 on 8 and 3640 DF, p-value: 0.222
##
##
##
## Pairwise Comparisons
## $emmeans
## Condition emmean SE df lower.CL upper.CL
## NoLab 3.50 0.0549 3640 3.39 3.61
## DirNorm 3.49 0.0548 3640 3.38 3.60
## IndNorm 3.52 0.0545 3640 3.42 3.63
## Direct 3.48 0.0545 3640 3.38 3.59
## Indirect 3.51 0.0548 3640 3.40 3.61
## DirNormBE 3.37 0.0545 3640 3.26 3.47
## IndNormBE 3.46 0.0545 3640 3.35 3.56
## DirBE 3.58 0.0546 3640 3.47 3.69
## IndBE 3.40 0.0551 3640 3.30 3.51
##
## Confidence level used: 0.95
##
## $contrasts
## contrast estimate SE df t.ratio p.value
## NoLab - DirNorm 0.01115 0.0776 3640 0.144 1.0000
## NoLab - IndNorm -0.01957 0.0774 3640 -0.253 1.0000
## NoLab - Direct 0.01964 0.0774 3640 0.254 1.0000
## NoLab - Indirect -0.00370 0.0776 3640 -0.048 1.0000
## NoLab - DirNormBE 0.13484 0.0774 3640 1.742 0.7203
## NoLab - IndNormBE 0.04527 0.0774 3640 0.585 0.9997
## NoLab - DirBE -0.07737 0.0775 3640 -0.999 0.9861
## NoLab - IndBE 0.09773 0.0778 3640 1.256 0.9438
## DirNorm - IndNorm -0.03072 0.0773 3640 -0.397 1.0000
## DirNorm - Direct 0.00849 0.0773 3640 0.110 1.0000
## DirNorm - Indirect -0.01485 0.0775 3640 -0.192 1.0000
## DirNorm - DirNormBE 0.12369 0.0773 3640 1.600 0.8052
## DirNorm - IndNormBE 0.03412 0.0773 3640 0.442 1.0000
## DirNorm - DirBE -0.08852 0.0774 3640 -1.144 0.9674
## DirNorm - IndBE 0.08657 0.0777 3640 1.114 0.9723
## IndNorm - Direct 0.03922 0.0771 3640 0.509 0.9999
## IndNorm - Indirect 0.01587 0.0773 3640 0.205 1.0000
## IndNorm - DirNormBE 0.15441 0.0771 3640 2.002 0.5418
## IndNorm - IndNormBE 0.06485 0.0771 3640 0.841 0.9956
## IndNorm - DirBE -0.05779 0.0772 3640 -0.749 0.9980
## IndNorm - IndBE 0.11730 0.0776 3640 1.513 0.8500
## Direct - Indirect -0.02334 0.0773 3640 -0.302 1.0000
## Direct - DirNormBE 0.11520 0.0771 3640 1.494 0.8588
## Direct - IndNormBE 0.02563 0.0771 3640 0.333 1.0000
## Direct - DirBE -0.09701 0.0772 3640 -1.257 0.9433
## Direct - IndBE 0.07808 0.0776 3640 1.007 0.9853
## Indirect - DirNormBE 0.13854 0.0773 3640 1.792 0.6876
## Indirect - IndNormBE 0.04898 0.0773 3640 0.634 0.9994
## Indirect - DirBE -0.07366 0.0774 3640 -0.952 0.9898
## Indirect - IndBE 0.10143 0.0777 3640 1.305 0.9302
## DirNormBE - IndNormBE -0.08957 0.0771 3640 -1.162 0.9642
## DirNormBE - DirBE -0.21221 0.0772 3640 -2.750 0.1310
## DirNormBE - IndBE -0.03711 0.0776 3640 -0.479 0.9999
## IndNormBE - DirBE -0.12264 0.0771 3640 -1.590 0.8104
## IndNormBE - IndBE 0.05245 0.0775 3640 0.677 0.9991
## DirBE - IndBE 0.17509 0.0776 3640 2.256 0.3693
##
## P value adjustment: tukey method for comparing a family of 9 estimates
##
##
##
## --------------------------------------------------------------------------------
3-way
InteractAnalyses <- subset(climate_labels, Condition != "NoLab")
InteractAnalyses$Condition <- as.factor(InteractAnalyses$Condition)
# Harm
InteractAnalyses$DN <- ifelse (InteractAnalyses$Condition=="DirNorm", 1,0)
InteractAnalyses$D <- ifelse(InteractAnalyses$Condition=="Direct", 1,0)
InteractAnalyses$DBE <- ifelse(InteractAnalyses$Condition=="DirBE", 1,0)
# Norm
InteractAnalyses$IN <- ifelse (InteractAnalyses$Condition== "IndNorm", 1,0)
InteractAnalyses$DNBE <- ifelse(InteractAnalyses$Condition=="DirNormBE", 1,0)
InteractAnalyses$INBE <- ifelse (InteractAnalyses$Condition== "IndNormBE", 1,0)
# Broader effort
InteractAnalyses$IBE <- ifelse(InteractAnalyses$Condition=="IndBE", 1,0)
InteractAnalyses$Harm<-InteractAnalyses$D+InteractAnalyses$DN+InteractAnalyses$DBE+InteractAnalyses$DNBE # Direct Harm
InteractAnalyses$Norm<-InteractAnalyses$DN+InteractAnalyses$IN+InteractAnalyses$DNBE+InteractAnalyses$INBE # Norm
InteractAnalyses$BroaderEffort<-InteractAnalyses$DNBE+InteractAnalyses$INBE+InteractAnalyses$DBE+InteractAnalyses$IBE # Broader effort
outcome_vars <- c("Inj", "DN1", "DN2", "DescN",
"HA_12", "HA_34",
"EB_12", "EB_34", "EB_56",
"SR_12", "SR_34",
"ISM_12", "ISM_34", "ISM_56")
for (outcome in outcome_vars) {
model <- lm(as.formula(paste(outcome, "~ Norm*Harm*BroaderEffort")), data = InteractAnalyses)
print(summary(model))
}
##
## Call:
## lm(formula = as.formula(paste(outcome, "~ Norm*Harm*BroaderEffort")),
## data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -1.8948 -0.7218 -0.1275 0.7684 2.3725
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 2.62748 0.04939 53.200 < 2e-16 ***
## Norm 0.24507 0.06967 3.517 0.000442 ***
## Harm 0.10414 0.06967 1.495 0.135093
## BroaderEffort 0.04044 0.07006 0.577 0.563814
## Norm:Harm -0.08189 0.09854 -0.831 0.405997
## Norm:BroaderEffort -0.22717 0.09866 -2.303 0.021365 *
## Harm:BroaderEffort -0.05830 0.09872 -0.591 0.554838
## Norm:Harm:BroaderEffort 0.07204 0.13937 0.517 0.605250
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.9927 on 3239 degrees of freedom
## Multiple R-squared: 0.007982, Adjusted R-squared: 0.005838
## F-statistic: 3.723 on 7 and 3239 DF, p-value: 0.0005085
##
##
## Call:
## lm(formula = as.formula(paste(outcome, "~ Norm*Harm*BroaderEffort")),
## data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.5833 -0.5490 0.4167 0.5074 2.5124
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.495050 0.061431 73.173 <2e-16 ***
## Norm 0.088284 0.086663 1.019 0.308
## Harm -0.002402 0.086663 -0.028 0.978
## BroaderEffort 0.056329 0.087148 0.646 0.518
## Norm:Harm -0.093307 0.122560 -0.761 0.447
## Norm:BroaderEffort -0.099320 0.122715 -0.809 0.418
## Harm:BroaderEffort -0.042833 0.122790 -0.349 0.727
## Norm:Harm:BroaderEffort 0.147220 0.173355 0.849 0.396
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.235 on 3239 degrees of freedom
## Multiple R-squared: 0.0007072, Adjusted R-squared: -0.001452
## F-statistic: 0.3274 on 7 and 3239 DF, p-value: 0.9419
##
##
## Call:
## lm(formula = as.formula(paste(outcome, "~ Norm*Harm*BroaderEffort")),
## data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.4662 -1.3652 0.5338 0.6348 2.6348
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.373762 0.070522 47.840 <2e-16 ***
## Norm -0.008566 0.099488 -0.086 0.931
## Harm 0.045355 0.099488 0.456 0.649
## BroaderEffort 0.092403 0.100045 0.924 0.356
## Norm:Harm 0.032518 0.140697 0.231 0.817
## Norm:BroaderEffort -0.026227 0.140919 -0.186 0.852
## Harm:BroaderEffort -0.111029 0.140962 -0.788 0.431
## Norm:Harm:BroaderEffort 0.042960 0.199041 0.216 0.829
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.417 on 3238 degrees of freedom
## (1 observation deleted due to missingness)
## Multiple R-squared: 0.0005414, Adjusted R-squared: -0.001619
## F-statistic: 0.2506 on 7 and 3238 DF, p-value: 0.9722
##
##
## Call:
## lm(formula = as.formula(paste(outcome, "~ Norm*Harm*BroaderEffort")),
## data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -46.833 -19.801 0.263 18.167 60.092
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 39.908 1.206 33.102 < 2e-16 ***
## Norm 6.925 1.701 4.071 4.78e-05 ***
## Harm 1.393 1.700 0.820 0.41246
## BroaderEffort 3.829 1.709 2.240 0.02516 *
## Norm:Harm -4.070 2.404 -1.693 0.09051 .
## Norm:BroaderEffort -6.988 2.408 -2.902 0.00374 **
## Harm:BroaderEffort -1.697 2.408 -0.705 0.48112
## Norm:Harm:BroaderEffort 5.502 3.401 1.618 0.10577
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 24.2 on 3234 degrees of freedom
## (5 observations deleted due to missingness)
## Multiple R-squared: 0.006603, Adjusted R-squared: 0.004453
## F-statistic: 3.071 on 7 and 3234 DF, p-value: 0.003167
##
##
## Call:
## lm(formula = as.formula(paste(outcome, "~ Norm*Harm*BroaderEffort")),
## data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.2617 -0.6942 -0.0772 0.8203 1.9228
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.183168 0.062335 67.108 <2e-16 ***
## Norm 0.036194 0.087938 0.412 0.681
## Harm 0.072959 0.087938 0.830 0.407
## BroaderEffort 0.011067 0.088431 0.125 0.900
## Norm:Harm -0.131032 0.124403 -1.053 0.292
## Norm:BroaderEffort -0.050723 0.124522 -0.407 0.684
## Harm:BroaderEffort -0.005524 0.124597 -0.044 0.965
## Norm:Harm:BroaderEffort -0.038904 0.175935 -0.221 0.825
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.253 on 3238 degrees of freedom
## (1 observation deleted due to missingness)
## Multiple R-squared: 0.001926, Adjusted R-squared: -0.0002314
## F-statistic: 0.8928 on 7 and 3238 DF, p-value: 0.5111
##
##
## Call:
## lm(formula = as.formula(paste(outcome, "~ Norm*Harm*BroaderEffort")),
## data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.3096 -0.7221 0.2281 0.7971 1.8064
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.21658 0.06503 64.841 <2e-16 ***
## Norm 0.05180 0.09174 0.565 0.572
## Harm 0.08611 0.09174 0.939 0.348
## BroaderEffort 0.05535 0.09225 0.600 0.549
## Norm:Harm -0.13241 0.12978 -1.020 0.308
## Norm:BroaderEffort -0.12079 0.12990 -0.930 0.353
## Harm:BroaderEffort -0.04846 0.12998 -0.373 0.709
## Norm:Harm:BroaderEffort 0.08545 0.18354 0.466 0.642
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.307 on 3238 degrees of freedom
## (1 observation deleted due to missingness)
## Multiple R-squared: 0.00106, Adjusted R-squared: -0.0011
## F-statistic: 0.4906 on 7 and 3238 DF, p-value: 0.842
##
##
## Call:
## lm(formula = as.formula(paste(outcome, "~ Norm*Harm*BroaderEffort")),
## data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -1.9484 -0.8247 0.1287 0.6683 2.2364
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 2.83168 0.05249 53.948 <2e-16 ***
## Norm 0.02739 0.07405 0.370 0.712
## Harm 0.03964 0.07405 0.535 0.592
## BroaderEffort 0.02797 0.07446 0.376 0.707
## Norm:Harm -0.13510 0.10472 -1.290 0.197
## Norm:BroaderEffort -0.06228 0.10489 -0.594 0.553
## Harm:BroaderEffort 0.04911 0.10492 0.468 0.640
## Norm:Harm:BroaderEffort 0.04266 0.14815 0.288 0.773
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.055 on 3238 degrees of freedom
## (1 observation deleted due to missingness)
## Multiple R-squared: 0.002195, Adjusted R-squared: 3.803e-05
## F-statistic: 1.018 on 7 and 3238 DF, p-value: 0.4164
##
##
## Call:
## lm(formula = as.formula(paste(outcome, "~ Norm*Harm*BroaderEffort")),
## data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.17813 -0.58333 -0.08333 0.43797 1.93936
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.10025 0.04646 66.727 <2e-16 ***
## Norm 0.04926 0.06555 0.752 0.452
## Harm -0.01691 0.06555 -0.258 0.796
## BroaderEffort 0.06517 0.06591 0.989 0.323
## Norm:Harm -0.07195 0.09269 -0.776 0.438
## Norm:BroaderEffort -0.11541 0.09284 -1.243 0.214
## Harm:BroaderEffort 0.02963 0.09287 0.319 0.750
## Norm:Harm:BroaderEffort 0.02614 0.13113 0.199 0.842
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.9339 on 3238 degrees of freedom
## (1 observation deleted due to missingness)
## Multiple R-squared: 0.002074, Adjusted R-squared: -8.291e-05
## F-statistic: 0.9616 on 7 and 3238 DF, p-value: 0.4576
##
##
## Call:
## lm(formula = as.formula(paste(outcome, "~ Norm*Harm*BroaderEffort")),
## data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -1.64109 -0.99632 -0.09559 0.88235 2.50368
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 2.64109 0.05394 48.965 <2e-16 ***
## Norm -0.02344 0.07609 -0.308 0.758
## Harm -0.04550 0.07609 -0.598 0.550
## BroaderEffort -0.03959 0.07652 -0.517 0.605
## Norm:Harm 0.01077 0.10761 0.100 0.920
## Norm:BroaderEffort 0.01240 0.10775 0.115 0.908
## Harm:BroaderEffort 0.05825 0.10781 0.540 0.589
## Norm:Harm:BroaderEffort -0.11766 0.15221 -0.773 0.440
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.084 on 3239 degrees of freedom
## Multiple R-squared: 0.001378, Adjusted R-squared: -0.0007802
## F-statistic: 0.6385 on 7 and 3239 DF, p-value: 0.7243
##
##
## Call:
## lm(formula = as.formula(paste(outcome, "~ Norm*Harm*BroaderEffort")),
## data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.2995 -0.7494 -0.2043 0.7506 2.8431
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.799505 0.067009 56.701 <2e-16 ***
## Norm -0.002936 0.094533 -0.031 0.975
## Harm -0.002936 0.094533 -0.031 0.975
## BroaderEffort -0.095244 0.095062 -1.002 0.316
## Norm:Harm -0.084474 0.133690 -0.632 0.528
## Norm:BroaderEffort 0.048064 0.133860 0.359 0.720
## Harm:BroaderEffort 0.078774 0.133941 0.588 0.556
## Norm:Harm:BroaderEffort -0.083890 0.189099 -0.444 0.657
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.347 on 3239 degrees of freedom
## Multiple R-squared: 0.001389, Adjusted R-squared: -0.0007689
## F-statistic: 0.6437 on 7 and 3239 DF, p-value: 0.72
##
##
## Call:
## lm(formula = as.formula(paste(outcome, "~ Norm*Harm*BroaderEffort")),
## data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.3973 -0.7512 -0.2302 0.7225 2.8346
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.89728 0.06566 59.353 <2e-16 ***
## Norm -0.01983 0.09263 -0.214 0.8305
## Harm -0.08233 0.09263 -0.889 0.3742
## BroaderEffort -0.23186 0.09315 -2.489 0.0129 *
## Norm:Harm -0.06493 0.13100 -0.496 0.6202
## Norm:BroaderEffort 0.13192 0.13117 1.006 0.3146
## Harm:BroaderEffort 0.21544 0.13125 1.641 0.1008
## Norm:Harm:BroaderEffort -0.09447 0.18530 -0.510 0.6102
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.32 on 3239 degrees of freedom
## Multiple R-squared: 0.002893, Adjusted R-squared: 0.0007376
## F-statistic: 1.342 on 7 and 3239 DF, p-value: 0.2259
##
##
## Call:
## lm(formula = as.formula(paste(outcome, "~ Norm*Harm*BroaderEffort")),
## data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.3563 -0.6785 0.1437 0.7908 1.8738
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.29208 0.05393 61.039 <2e-16 ***
## Norm -0.02615 0.07609 -0.344 0.7311
## Harm -0.00654 0.07609 -0.086 0.9315
## BroaderEffort -0.12291 0.07651 -1.606 0.1083
## Norm:Harm -0.05023 0.10760 -0.467 0.6406
## Norm:BroaderEffort 0.03546 0.10774 0.329 0.7421
## Harm:BroaderEffort 0.19363 0.10780 1.796 0.0726 .
## Norm:Harm:BroaderEffort -0.18912 0.15220 -1.243 0.2141
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.084 on 3239 degrees of freedom
## Multiple R-squared: 0.004411, Adjusted R-squared: 0.00226
## F-statistic: 2.05 on 7 and 3239 DF, p-value: 0.0456
##
##
## Call:
## lm(formula = as.formula(paste(outcome, "~ Norm*Harm*BroaderEffort")),
## data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.65233 -0.54579 -0.03465 0.68699 1.52632
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.54579 0.04529 78.287 <2e-16 ***
## Norm 0.08043 0.06390 1.259 0.2082
## Harm -0.03599 0.06390 -0.563 0.5733
## BroaderEffort -0.07211 0.06425 -1.122 0.2618
## Norm:Harm -0.05558 0.09036 -0.615 0.5385
## Norm:BroaderEffort -0.04434 0.09048 -0.490 0.6241
## Harm:BroaderEffort 0.21464 0.09053 2.371 0.0178 *
## Norm:Harm:BroaderEffort -0.12672 0.12781 -0.991 0.3215
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.9104 on 3239 degrees of freedom
## Multiple R-squared: 0.004112, Adjusted R-squared: 0.001959
## F-statistic: 1.91 on 7 and 3239 DF, p-value: 0.06391
##
##
## Call:
## lm(formula = as.formula(paste(outcome, "~ Norm*Harm*BroaderEffort")),
## data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.57985 -0.52206 0.01716 0.99381 1.63235
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.506188 0.054844 63.930 <2e-16 ***
## Norm 0.015871 0.077371 0.205 0.8375
## Harm -0.023345 0.077371 -0.302 0.7629
## BroaderEffort -0.101426 0.077804 -1.304 0.1925
## Norm:Harm -0.007377 0.109420 -0.067 0.9463
## Norm:BroaderEffort 0.036580 0.109559 0.334 0.7385
## Harm:BroaderEffort 0.198436 0.109625 1.810 0.0704 .
## Norm:Harm:BroaderEffort -0.257279 0.154770 -1.662 0.0965 .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.102 on 3239 degrees of freedom
## Multiple R-squared: 0.003215, Adjusted R-squared: 0.001061
## F-statistic: 1.492 on 7 and 3239 DF, p-value: 0.165
2-way
for (outcome in outcome_vars) {
# Norm x Harm
model1 <- lm(as.formula(paste(outcome, "~ Norm * Harm")), data = InteractAnalyses)
cat("\n--- Norm x Harm Interaction for", outcome, "---\n")
print(summary(model1))
# Norm x Broader Effort
model2 <- lm(as.formula(paste(outcome, "~ Norm * BroaderEffort")), data = InteractAnalyses)
cat("\n--- Norm x BroaderEffort Interaction for", outcome, "---\n")
print(summary(model2))
# Harm x Broader Effort
model3 <- lm(as.formula(paste(outcome, "~ Harm * BroaderEffort")), data = InteractAnalyses)
cat("\n--- Harm x BroaderEffort Interaction for", outcome, "---\n")
print(summary(model3))
}
##
## --- Norm x Harm Interaction for Inj ---
##
## Call:
## lm(formula = as.formula(paste(outcome, "~ Norm * Harm")), data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -1.8079 -0.7791 -0.1476 0.7209 2.3524
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 2.64757 0.03508 75.463 < 2e-16 ***
## Norm 0.13150 0.04940 2.662 0.00781 **
## Harm 0.07513 0.04943 1.520 0.12867
## Norm:Harm -0.04632 0.06979 -0.664 0.50697
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.9942 on 3243 degrees of freedom
## Multiple R-squared: 0.003758, Adjusted R-squared: 0.002837
## F-statistic: 4.078 on 3 and 3243 DF, p-value: 0.006689
##
##
## --- Norm x BroaderEffort Interaction for Inj ---
##
## Call:
## lm(formula = as.formula(paste(outcome, "~ Norm * BroaderEffort")),
## data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -1.8836 -0.7038 -0.1798 0.7962 2.3202
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 2.67980 0.03483 76.935 < 2e-16 ***
## Norm 0.20382 0.04926 4.138 3.6e-05 ***
## BroaderEffort 0.01126 0.04935 0.228 0.81947
## Norm:BroaderEffort -0.19109 0.06968 -2.743 0.00613 **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.9926 on 3243 degrees of freedom
## Multiple R-squared: 0.007052, Adjusted R-squared: 0.006134
## F-statistic: 7.678 on 3 and 3243 DF, p-value: 4.125e-05
##
##
## --- Harm x BroaderEffort Interaction for Inj ---
##
## Call:
## lm(formula = as.formula(paste(outcome, "~ Harm * BroaderEffort")),
## data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -1.8128 -0.7506 -0.1770 0.7494 2.3230
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 2.75062 0.03491 78.787 <2e-16 ***
## Harm 0.06219 0.04937 1.260 0.208
## BroaderEffort -0.07364 0.04943 -1.490 0.136
## Harm:BroaderEffort -0.02138 0.06983 -0.306 0.759
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.9948 on 3243 degrees of freedom
## Multiple R-squared: 0.002488, Adjusted R-squared: 0.001566
## F-statistic: 2.697 on 3 and 3243 DF, p-value: 0.04437
##
##
## --- Norm x Harm Interaction for DN1 ---
##
## Call:
## lm(formula = as.formula(paste(outcome, "~ Norm * Harm")), data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.5618 -0.5230 0.4382 0.5006 2.5006
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.52304 0.04355 103.849 <2e-16 ***
## Norm 0.03877 0.06133 0.632 0.527
## Harm -0.02365 0.06137 -0.385 0.700
## Norm:Harm -0.01969 0.08664 -0.227 0.820
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.234 on 3243 degrees of freedom
## Multiple R-squared: 0.0003395, Adjusted R-squared: -0.0005852
## F-statistic: 0.3672 on 3 and 3243 DF, p-value: 0.7767
##
##
## --- Norm x BroaderEffort Interaction for DN1 ---
##
## Call:
## lm(formula = as.formula(paste(outcome, "~ Norm * BroaderEffort")),
## data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.5447 -0.5357 0.4553 0.5062 2.5062
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.49384 0.04331 103.750 <2e-16 ***
## Norm 0.04187 0.06126 0.684 0.494
## BroaderEffort 0.03469 0.06137 0.565 0.572
## Norm:BroaderEffort -0.02573 0.08664 -0.297 0.766
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.234 on 3243 degrees of freedom
## Multiple R-squared: 0.0002441, Adjusted R-squared: -0.0006808
## F-statistic: 0.2639 on 3 and 3243 DF, p-value: 0.8514
##
##
## --- Harm x BroaderEffort Interaction for DN1 ---
##
## Call:
## lm(formula = as.formula(paste(outcome, "~ Harm * BroaderEffort")),
## data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.5458 -0.5394 0.4542 0.5099 2.5099
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.539409 0.043313 104.805 <2e-16 ***
## Harm -0.049261 0.061254 -0.804 0.421
## BroaderEffort 0.006383 0.061329 0.104 0.917
## Harm:BroaderEffort 0.031076 0.086639 0.359 0.720
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.234 on 3243 degrees of freedom
## Multiple R-squared: 0.0003052, Adjusted R-squared: -0.0006196
## F-statistic: 0.33 on 3 and 3243 DF, p-value: 0.8037
##
##
## --- Norm x Harm Interaction for DN2 ---
##
## Call:
## lm(formula = as.formula(paste(outcome, "~ Norm * Harm")), data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.4421 -1.3983 0.5579 0.6017 2.6017
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.41968 0.05000 68.392 <2e-16 ***
## Norm -0.02139 0.07043 -0.304 0.761
## Harm -0.00986 0.07045 -0.140 0.889
## Norm:Harm 0.05369 0.09948 0.540 0.589
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.417 on 3242 degrees of freedom
## (1 observation deleted due to missingness)
## Multiple R-squared: 0.0001299, Adjusted R-squared: -0.0007954
## F-statistic: 0.1404 on 3 and 3242 DF, p-value: 0.9358
##
##
## --- Norm x BroaderEffort Interaction for DN2 ---
##
## Call:
## lm(formula = as.formula(paste(outcome, "~ Norm * BroaderEffort")),
## data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.4363 -1.3965 0.5637 0.6035 2.6035
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.396552 0.049722 68.310 <2e-16 ***
## Norm 0.007389 0.070318 0.105 0.916
## BroaderEffort 0.036451 0.070449 0.517 0.605
## Norm:BroaderEffort -0.004117 0.099476 -0.041 0.967
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.417 on 3242 degrees of freedom
## (1 observation deleted due to missingness)
## Multiple R-squared: 0.0001516, Adjusted R-squared: -0.0007736
## F-statistic: 0.1639 on 3 and 3242 DF, p-value: 0.9207
##
##
## --- Harm x BroaderEffort Interaction for DN2 ---
##
## Call:
## lm(formula = as.formula(paste(outcome, "~ Harm * BroaderEffort")),
## data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.4486 -1.3695 0.5514 0.6305 2.6305
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.36946 0.04972 67.775 <2e-16 ***
## Harm 0.06158 0.07031 0.876 0.381
## BroaderEffort 0.07912 0.07042 1.124 0.261
## Harm:BroaderEffort -0.08929 0.09946 -0.898 0.369
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.417 on 3242 degrees of freedom
## (1 observation deleted due to missingness)
## Multiple R-squared: 0.0004319, Adjusted R-squared: -0.0004931
## F-statistic: 0.4669 on 3 and 3242 DF, p-value: 0.7054
##
##
## --- Norm x Harm Interaction for DescN ---
##
## Call:
## lm(formula = as.formula(paste(outcome, "~ Norm * Harm")), data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -45.25 -20.25 0.52 18.19 58.19
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 41.8130 0.8554 48.878 < 2e-16 ***
## Norm 3.4401 1.2053 2.854 0.00434 **
## Harm 0.5518 1.2053 0.458 0.64714
## Norm:Harm -1.3246 1.7019 -0.778 0.43647
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 24.23 on 3238 degrees of freedom
## (5 observations deleted due to missingness)
## Multiple R-squared: 0.003468, Adjusted R-squared: 0.002544
## F-statistic: 3.756 on 3 and 3238 DF, p-value: 0.01045
##
##
## --- Norm x BroaderEffort Interaction for DescN ---
##
## Call:
## lm(formula = as.formula(paste(outcome, "~ Norm * BroaderEffort")),
## data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -45.499 -20.499 0.076 19.391 59.391
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 40.6091 0.8498 47.785 < 2e-16 ***
## Norm 4.8903 1.2018 4.069 4.83e-05 ***
## BroaderEffort 2.9746 1.2041 2.470 0.0135 *
## Norm:BroaderEffort -4.2359 1.7002 -2.491 0.0128 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 24.2 on 3238 degrees of freedom
## (5 observations deleted due to missingness)
## Multiple R-squared: 0.005489, Adjusted R-squared: 0.004568
## F-statistic: 5.958 on 3 and 3238 DF, p-value: 0.0004776
##
##
## --- Harm x BroaderEffort Interaction for DescN ---
##
## Call:
## lm(formula = as.formula(paste(outcome, "~ Harm * BroaderEffort")),
## data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -44.119 -19.119 0.881 17.278 57.278
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 43.3877 0.8525 50.894 <2e-16 ***
## Harm -0.6660 1.2049 -0.553 0.580
## BroaderEffort 0.3171 1.2071 0.263 0.793
## Harm:BroaderEffort 1.0803 1.7045 0.634 0.526
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 24.26 on 3238 degrees of freedom
## (5 observations deleted due to missingness)
## Multiple R-squared: 0.0004441, Adjusted R-squared: -0.000482
## F-statistic: 0.4796 on 3 and 3238 DF, p-value: 0.6965
##
##
## --- Norm x Harm Interaction for HA_12 ---
##
## Call:
## lm(formula = as.formula(paste(outcome, "~ Norm * Harm")), data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.2589 -0.6995 -0.1190 0.8113 1.8810
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.18867 0.04419 94.777 <2e-16 ***
## Norm 0.01084 0.06223 0.174 0.8617
## Harm 0.07023 0.06227 1.128 0.2595
## Norm:Harm -0.15075 0.08793 -1.714 0.0865 .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.252 on 3242 degrees of freedom
## (1 observation deleted due to missingness)
## Multiple R-squared: 0.001576, Adjusted R-squared: 0.0006518
## F-statistic: 1.706 on 3 and 3242 DF, p-value: 0.1637
##
##
## --- Norm x BroaderEffort Interaction for HA_12 ---
##
## Call:
## lm(formula = as.formula(paste(outcome, "~ Norm * BroaderEffort")),
## data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.2283 -0.7198 -0.1285 0.8095 1.8715
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.21983 0.04396 95.987 <2e-16 ***
## Norm -0.02932 0.06219 -0.471 0.637
## BroaderEffort 0.00846 0.06229 0.136 0.892
## Norm:BroaderEffort -0.07045 0.08795 -0.801 0.423
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.253 on 3242 degrees of freedom
## (1 observation deleted due to missingness)
## Multiple R-squared: 0.0009786, Adjusted R-squared: 5.416e-05
## F-statistic: 1.059 on 3 and 3242 DF, p-value: 0.3655
##
##
## --- Harm x BroaderEffort Interaction for HA_12 ---
##
## Call:
## lm(formula = as.formula(paste(outcome, "~ Harm * BroaderEffort")),
## data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.2090 -0.7014 -0.1693 0.8131 1.8307
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.201355 0.043981 95.527 <2e-16 ***
## Harm 0.007647 0.062217 0.123 0.902
## BroaderEffort -0.014473 0.062275 -0.232 0.816
## Harm:BroaderEffort -0.025203 0.087989 -0.286 0.775
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.253 on 3242 degrees of freedom
## (1 observation deleted due to missingness)
## Multiple R-squared: 0.0001463, Adjusted R-squared: -0.0007789
## F-statistic: 0.1582 on 3 and 3242 DF, p-value: 0.9245
##
##
## --- Norm x Harm Interaction for HA_34 ---
##
## Call:
## lm(formula = as.formula(paste(outcome, "~ Norm * Harm")), data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.3061 -0.7356 0.2559 0.7922 1.7922
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.244085 0.046104 92.054 <2e-16 ***
## Norm -0.008467 0.064922 -0.130 0.896
## Harm 0.062050 0.064961 0.955 0.340
## Norm:Harm -0.089900 0.091727 -0.980 0.327
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.306 on 3242 degrees of freedom
## (1 observation deleted due to missingness)
## Multiple R-squared: 0.0007591, Adjusted R-squared: -0.0001655
## F-statistic: 0.821 on 3 and 3242 DF, p-value: 0.4821
##
##
## --- Norm x BroaderEffort Interaction for HA_34 ---
##
## Call:
## lm(formula = as.formula(paste(outcome, "~ Norm * BroaderEffort")),
## data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.2909 -0.7454 0.2401 0.8017 1.8017
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.25985 0.04585 92.907 <2e-16 ***
## Norm -0.01448 0.06486 -0.223 0.823
## BroaderEffort 0.03109 0.06496 0.479 0.632
## Norm:BroaderEffort -0.07818 0.09173 -0.852 0.394
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.307 on 3242 degrees of freedom
## (1 observation deleted due to missingness)
## Multiple R-squared: 0.0006545, Adjusted R-squared: -0.0002703
## F-statistic: 0.7077 on 3 and 3242 DF, p-value: 0.5473
##
##
## --- Harm x BroaderEffort Interaction for HA_34 ---
##
## Call:
## lm(formula = as.formula(paste(outcome, "~ Harm * BroaderEffort")),
## data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.2626 -0.7426 0.2485 0.7630 1.7630
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.242611 0.045864 92.504 <2e-16 ***
## Harm 0.020028 0.064882 0.309 0.758
## BroaderEffort -0.005606 0.064942 -0.086 0.931
## Harm:BroaderEffort -0.005499 0.091757 -0.060 0.952
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.307 on 3242 degrees of freedom
## (1 observation deleted due to missingness)
## Multiple R-squared: 5.499e-05, Adjusted R-squared: -0.0008703
## F-statistic: 0.05943 on 3 and 3242 DF, p-value: 0.981
##
##
## --- Norm x Harm Interaction for EB_12 ---
##
## Call:
## lm(formula = as.formula(paste(outcome, "~ Norm * Harm")), data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -1.90982 -0.84191 0.09018 0.65809 2.20751
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 2.845579 0.037219 76.454 <2e-16 ***
## Norm -0.003667 0.052426 -0.070 0.944
## Harm 0.064237 0.052442 1.225 0.221
## Norm:Harm -0.113661 0.074050 -1.535 0.125
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.055 on 3242 degrees of freedom
## (1 observation deleted due to missingness)
## Multiple R-squared: 0.001564, Adjusted R-squared: 0.0006405
## F-statistic: 1.693 on 3 and 3242 DF, p-value: 0.1663
##
##
## --- Norm x BroaderEffort Interaction for EB_12 ---
##
## Call:
## lm(formula = as.formula(paste(outcome, "~ Norm * BroaderEffort")),
## data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -1.9045 -0.8229 0.1484 0.6771 2.1884
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 2.85160 0.03702 77.028 <2e-16 ***
## Norm -0.04002 0.05235 -0.764 0.445
## BroaderEffort 0.05287 0.05245 1.008 0.314
## Norm:BroaderEffort -0.04153 0.07406 -0.561 0.575
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.055 on 3242 degrees of freedom
## (1 observation deleted due to missingness)
## Multiple R-squared: 0.001155, Adjusted R-squared: 0.0002303
## F-statistic: 1.249 on 3 and 3242 DF, p-value: 0.2902
##
##
## --- Harm x BroaderEffort Interaction for EB_12 ---
##
## Call:
## lm(formula = as.formula(paste(outcome, "~ Harm * BroaderEffort")),
## data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -1.8847 -0.8420 0.1546 0.6580 2.1823
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 2.845443 0.037032 76.837 <2e-16 ***
## Harm -0.027709 0.052371 -0.529 0.597
## BroaderEffort -0.003436 0.052452 -0.066 0.948
## Harm:BroaderEffort 0.070365 0.074087 0.950 0.342
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.055 on 3242 degrees of freedom
## (1 observation deleted due to missingness)
## Multiple R-squared: 0.0005185, Adjusted R-squared: -0.0004064
## F-statistic: 0.5606 on 3 and 3242 DF, p-value: 0.641
##
##
## --- Norm x Harm Interaction for EB_34 ---
##
## Call:
## lm(formula = as.formula(paste(outcome, "~ Norm * Harm")), data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.1326 -0.6244 -0.1244 0.4366 1.9366
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.132628 0.032954 95.062 <2e-16 ***
## Norm -0.008240 0.046418 -0.178 0.859
## Harm -0.001953 0.046432 -0.042 0.966
## Norm:Harm -0.059011 0.065563 -0.900 0.368
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.9338 on 3242 degrees of freedom
## (1 observation deleted due to missingness)
## Multiple R-squared: 0.0009419, Adjusted R-squared: 1.741e-05
## F-statistic: 1.019 on 3 and 3242 DF, p-value: 0.3831
##
##
## --- Norm x BroaderEffort Interaction for EB_34 ---
##
## Call:
## lm(formula = as.formula(paste(outcome, "~ Norm * BroaderEffort")),
## data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.17184 -0.59175 -0.09175 0.41728 1.91728
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.09175 0.03276 94.367 <2e-16 ***
## Norm 0.01355 0.04633 0.292 0.7700
## BroaderEffort 0.08009 0.04642 1.725 0.0846 .
## Norm:BroaderEffort -0.10266 0.06555 -1.566 0.1174
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.9336 on 3242 degrees of freedom
## (1 observation deleted due to missingness)
## Multiple R-squared: 0.001397, Adjusted R-squared: 0.0004729
## F-statistic: 1.512 on 3 and 3242 DF, p-value: 0.2094
##
##
## --- Harm x BroaderEffort Interaction for EB_34 ---
##
## Call:
## lm(formula = as.formula(paste(outcome, "~ Harm * BroaderEffort")),
## data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.1320 -0.6221 -0.1221 0.4280 1.9280
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.12500 0.03277 95.346 <2e-16 ***
## Harm -0.05296 0.04635 -1.142 0.253
## BroaderEffort 0.00697 0.04642 0.150 0.881
## Harm:BroaderEffort 0.04307 0.06557 0.657 0.511
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.934 on 3242 degrees of freedom
## (1 observation deleted due to missingness)
## Multiple R-squared: 0.000649, Adjusted R-squared: -0.0002758
## F-statistic: 0.7018 on 3 and 3242 DF, p-value: 0.5509
##
##
## --- Norm x Harm Interaction for EB_56 ---
##
## Call:
## lm(formula = as.formula(paste(outcome, "~ Norm * Harm")), data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -1.6214 -1.0394 -0.1040 0.8786 2.4606
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 2.62142 0.03825 68.542 <2e-16 ***
## Norm -0.01738 0.05385 -0.323 0.747
## Harm -0.01651 0.05389 -0.306 0.759
## Norm:Harm -0.04812 0.07608 -0.632 0.527
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.084 on 3243 degrees of freedom
## Multiple R-squared: 0.000838, Adjusted R-squared: -8.633e-05
## F-statistic: 0.9066 on 3 and 3243 DF, p-value: 0.437
##
##
## --- Norm x BroaderEffort Interaction for EB_56 ---
##
## Call:
## lm(formula = as.formula(paste(outcome, "~ Norm * BroaderEffort")),
## data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -1.6182 -1.0434 -0.1004 0.8818 2.4566
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 2.61823 0.03804 68.837 <2e-16 ***
## Norm -0.01786 0.05379 -0.332 0.740
## BroaderEffort -0.01029 0.05389 -0.191 0.849
## Norm:BroaderEffort -0.04663 0.07608 -0.613 0.540
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.084 on 3243 degrees of freedom
## Multiple R-squared: 0.0007201, Adjusted R-squared: -0.0002043
## F-statistic: 0.779 on 3 and 3243 DF, p-value: 0.5056
##
##
## --- Harm x BroaderEffort Interaction for EB_56 ---
##
## Call:
## lm(formula = as.formula(paste(outcome, "~ Harm * BroaderEffort")),
## data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -1.62931 -1.05521 -0.08929 0.87069 2.44479
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 2.6293103 0.0380376 69.124 <2e-16 ***
## Harm -0.0400246 0.0537932 -0.744 0.457
## BroaderEffort -0.0333945 0.0538598 -0.620 0.535
## Harm:BroaderEffort -0.0006765 0.0760872 -0.009 0.993
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.084 on 3243 degrees of freedom
## Multiple R-squared: 0.0005905, Adjusted R-squared: -0.0003341
## F-statistic: 0.6387 on 3 and 3243 DF, p-value: 0.5901
##
##
## --- Norm x Harm Interaction for SR_12 ---
##
## Call:
## lm(formula = as.formula(paste(outcome, "~ Norm * Harm")), data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.2883 -0.7522 -0.1829 0.7478 2.8171
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.75218 0.04751 78.973 <2e-16 ***
## Norm 0.02077 0.06690 0.310 0.756
## Harm 0.03616 0.06694 0.540 0.589
## Norm:Harm -0.12623 0.09451 -1.336 0.182
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.346 on 3243 degrees of freedom
## Multiple R-squared: 0.0008987, Adjusted R-squared: -2.552e-05
## F-statistic: 0.9724 on 3 and 3243 DF, p-value: 0.4047
##
##
## --- Norm x BroaderEffort Interaction for SR_12 ---
##
## Call:
## lm(formula = as.formula(paste(outcome, "~ Norm * BroaderEffort")),
## data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.2980 -0.7426 -0.2032 0.7574 2.7968
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.798030 0.047255 80.374 <2e-16 ***
## Norm -0.044951 0.066828 -0.673 0.501
## BroaderEffort -0.055474 0.066953 -0.829 0.407
## Norm:BroaderEffort 0.005577 0.094525 0.059 0.953
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.347 on 3243 degrees of freedom
## Multiple R-squared: 0.0006312, Adjusted R-squared: -0.0002933
## F-statistic: 0.6828 on 3 and 3243 DF, p-value: 0.5625
##
##
## --- Harm x BroaderEffort Interaction for SR_12 ---
##
## Call:
## lm(formula = as.formula(paste(outcome, "~ Harm * BroaderEffort")),
## data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.2980 -0.7271 -0.2184 0.7729 2.7816
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.79803 0.04726 80.369 <2e-16 ***
## Harm -0.04495 0.06683 -0.673 0.501
## BroaderEffort -0.07093 0.06691 -1.060 0.289
## Harm:BroaderEffort 0.03625 0.09453 0.383 0.701
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.347 on 3243 degrees of freedom
## Multiple R-squared: 0.0005295, Adjusted R-squared: -0.0003951
## F-statistic: 0.5727 on 3 and 3243 DF, p-value: 0.6329
##
##
## --- Norm x Harm Interaction for SR_34 ---
##
## Call:
## lm(formula = as.formula(paste(outcome, "~ Norm * Harm")), data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.3274 -0.7821 -0.2408 0.7179 2.7592
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.78207 0.04660 81.160 <2e-16 ***
## Norm 0.04535 0.06562 0.691 0.490
## Harm 0.02468 0.06566 0.376 0.707
## Norm:Harm -0.11134 0.09270 -1.201 0.230
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.321 on 3243 degrees of freedom
## Multiple R-squared: 0.0005991, Adjusted R-squared: -0.0003254
## F-statistic: 0.648 on 3 and 3243 DF, p-value: 0.5841
##
##
## --- Norm x BroaderEffort Interaction for SR_34 ---
##
## Call:
## lm(formula = as.formula(paste(outcome, "~ Norm * BroaderEffort")),
## data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.3559 -0.7644 -0.2326 0.7356 2.7674
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.85591 0.04633 83.233 <2e-16 ***
## Norm -0.05172 0.06552 -0.789 0.4299
## BroaderEffort -0.12328 0.06564 -1.878 0.0604 .
## Norm:BroaderEffort 0.08348 0.09267 0.901 0.3678
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.32 on 3243 degrees of freedom
## Multiple R-squared: 0.001216, Adjusted R-squared: 0.0002917
## F-statistic: 1.316 on 3 and 3243 DF, p-value: 0.2674
##
##
## --- Harm x BroaderEffort Interaction for SR_34 ---
##
## Call:
## lm(formula = as.formula(paste(outcome, "~ Harm * BroaderEffort")),
## data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.3873 -0.7728 -0.2222 0.7272 2.7778
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.88732 0.04631 83.948 <2e-16 ***
## Harm -0.11453 0.06549 -1.749 0.0804 .
## BroaderEffort -0.16516 0.06557 -2.519 0.0118 *
## Harm:BroaderEffort 0.16723 0.09263 1.805 0.0711 .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.32 on 3243 degrees of freedom
## Multiple R-squared: 0.002092, Adjusted R-squared: 0.001169
## F-statistic: 2.266 on 3 and 3243 DF, p-value: 0.07885
##
##
## --- Norm x Harm Interaction for ISM_12 ---
##
## Call:
## lm(formula = as.formula(paste(outcome, "~ Norm * Harm")), data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.3209 -0.7221 0.1791 0.7779 1.8325
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.231009 0.038267 84.433 <2e-16 ***
## Norm -0.008854 0.053885 -0.164 0.8695
## Harm 0.089850 0.053918 1.666 0.0957 .
## Norm:Harm -0.144517 0.076122 -1.898 0.0577 .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.084 on 3243 degrees of freedom
## Multiple R-squared: 0.002578, Adjusted R-squared: 0.001655
## F-statistic: 2.794 on 3 and 3243 DF, p-value: 0.03891
##
##
## --- Norm x BroaderEffort Interaction for ISM_12 ---
##
## Call:
## lm(formula = as.formula(paste(outcome, "~ Norm * BroaderEffort")),
## data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.2888 -0.7377 0.2112 0.7623 1.8476
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.28879 0.03806 86.409 <2e-16 ***
## Norm -0.05111 0.05383 -0.950 0.342
## BroaderEffort -0.02515 0.05393 -0.466 0.641
## Norm:BroaderEffort -0.06015 0.07613 -0.790 0.430
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.085 on 3243 degrees of freedom
## Multiple R-squared: 0.002247, Adjusted R-squared: 0.001324
## F-statistic: 2.435 on 3 and 3243 DF, p-value: 0.06299
##
##
## --- Harm x BroaderEffort Interaction for ISM_12 ---
##
## Call:
## lm(formula = as.formula(paste(outcome, "~ Harm * BroaderEffort")),
## data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.2789 -0.7411 0.2211 0.7589 1.8261
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.27894 0.03808 86.107 <2e-16 ***
## Harm -0.03140 0.05385 -0.583 0.5598
## BroaderEffort -0.10505 0.05392 -1.948 0.0515 .
## Harm:BroaderEffort 0.09862 0.07617 1.295 0.1955
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.085 on 3243 degrees of freedom
## Multiple R-squared: 0.001241, Adjusted R-squared: 0.0003166
## F-statistic: 1.343 on 3 and 3243 DF, p-value: 0.2586
##
##
## --- Norm x Harm Interaction for ISM_34 ---
##
## Call:
## lm(formula = as.formula(paste(outcome, "~ Norm * Harm")), data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.58098 -0.56793 -0.06793 0.70453 1.49004
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.50996 0.03215 109.159 <2e-16 ***
## Norm 0.05797 0.04528 1.280 0.2005
## Harm 0.07102 0.04531 1.568 0.1171
## Norm:Harm -0.11863 0.06396 -1.855 0.0637 .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.9112 on 3243 degrees of freedom
## Multiple R-squared: 0.0011, Adjusted R-squared: 0.000176
## F-statistic: 1.19 on 3 and 3243 DF, p-value: 0.3118
##
##
## --- Norm x BroaderEffort Interaction for ISM_34 ---
##
## Call:
## lm(formula = as.formula(paste(outcome, "~ Norm * BroaderEffort")),
## data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.5807 -0.5639 -0.0639 0.7057 1.4920
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.52771 0.03198 110.318 <2e-16 ***
## Norm 0.05296 0.04522 1.171 0.2417
## BroaderEffort 0.03619 0.04531 0.799 0.4245
## Norm:BroaderEffort -0.10890 0.06397 -1.702 0.0888 .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.9112 on 3243 degrees of freedom
## Multiple R-squared: 0.000996, Adjusted R-squared: 7.181e-05
## F-statistic: 1.078 on 3 and 3243 DF, p-value: 0.3572
##
##
## --- Harm x BroaderEffort Interaction for ISM_34 ---
##
## Call:
## lm(formula = as.formula(paste(outcome, "~ Harm * BroaderEffort")),
## data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.58621 -0.57914 -0.07914 0.71092 1.50804
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.58621 0.03196 112.196 <2e-16 ***
## Harm -0.06404 0.04520 -1.417 0.1567
## BroaderEffort -0.09425 0.04526 -2.082 0.0374 *
## Harm:BroaderEffort 0.15123 0.06394 2.365 0.0181 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.9108 on 3243 degrees of freedom
## Multiple R-squared: 0.001864, Adjusted R-squared: 0.0009411
## F-statistic: 2.019 on 3 and 3243 DF, p-value: 0.1091
##
##
## --- Norm x Harm Interaction for ISM_56 ---
##
## Call:
## lm(formula = as.formula(paste(outcome, "~ Norm * Harm")), data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.53129 -0.53129 0.04421 1.01040 1.57081
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.45579 0.03892 88.800 <2e-16 ***
## Norm 0.03381 0.05480 0.617 0.5374
## Harm 0.07550 0.05483 1.377 0.1687
## Norm:Harm -0.13591 0.07741 -1.756 0.0793 .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.103 on 3243 degrees of freedom
## Multiple R-squared: 0.001203, Adjusted R-squared: 0.0002786
## F-statistic: 1.302 on 3 and 3243 DF, p-value: 0.2721
##
##
## --- Norm x BroaderEffort Interaction for ISM_56 ---
##
## Call:
## lm(formula = as.formula(paste(outcome, "~ Norm * BroaderEffort")),
## data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.50677 -0.50677 0.00682 1.00554 1.58752
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.494458 0.038701 90.293 <2e-16 ***
## Norm 0.012315 0.054732 0.225 0.822
## BroaderEffort -0.001282 0.054834 -0.023 0.981
## Norm:BroaderEffort -0.093007 0.077415 -1.201 0.230
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.103 on 3243 degrees of freedom
## Multiple R-squared: 0.001159, Adjusted R-squared: 0.0002354
## F-statistic: 1.255 on 3 and 3243 DF, p-value: 0.2883
##
##
## --- Harm x BroaderEffort Interaction for ISM_56 ---
##
## Call:
## lm(formula = as.formula(paste(outcome, "~ Harm * BroaderEffort")),
## data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.51416 -0.51416 0.02638 1.01293 1.56869
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.51416 0.03871 90.783 <2e-16 ***
## Harm -0.02709 0.05474 -0.495 0.621
## BroaderEffort -0.08285 0.05481 -1.512 0.131
## Harm:BroaderEffort 0.06940 0.07743 0.896 0.370
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.103 on 3243 degrees of freedom
## Multiple R-squared: 0.0007342, Adjusted R-squared: -0.0001902
## F-statistic: 0.7943 on 3 and 3243 DF, p-value: 0.4969
Causalmodel with collapsed condition variables
#HA with harm and EB
summary(lm(HA_12~Harm, data = InteractAnalyses))
##
## Call:
## lm(formula = HA_12 ~ Harm, data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.1941 -0.6941 -0.1891 0.8109 1.8109
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.194136 0.031130 134.729 <2e-16 ***
## Harm -0.005021 0.043984 -0.114 0.909
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.253 on 3244 degrees of freedom
## (1 observation deleted due to missingness)
## Multiple R-squared: 4.018e-06, Adjusted R-squared: -0.0003042
## F-statistic: 0.01303 on 1 and 3244 DF, p-value: 0.9091
summary(lm(HA_34~Harm, data = InteractAnalyses))
##
## Call:
## lm(formula = HA_34 ~ Harm, data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.2571 -0.7398 0.2429 0.7602 1.7602
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.23981 0.03246 130.612 <2e-16 ***
## Harm 0.01726 0.04586 0.376 0.707
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.307 on 3244 degrees of freedom
## (1 observation deleted due to missingness)
## Multiple R-squared: 4.364e-05, Adjusted R-squared: -0.0002646
## F-statistic: 0.1416 on 1 and 3244 DF, p-value: 0.7067
summary(lm(EB_56~Harm, data = InteractAnalyses))
##
## Call:
## lm(formula = EB_56 ~ Harm, data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -1.61265 -1.07222 -0.07222 0.88735 2.42778
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 2.61265 0.02692 97.035 <2e-16 ***
## Harm -0.04044 0.03804 -1.063 0.288
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.084 on 3245 degrees of freedom
## Multiple R-squared: 0.0003481, Adjusted R-squared: 4.009e-05
## F-statistic: 1.13 on 1 and 3245 DF, p-value: 0.2878
summary(lm(HA_12~Condition, data = climate_labels))
##
## Call:
## lm(formula = HA_12 ~ Condition, data = climate_labels)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.2617 -0.6942 -0.0348 0.8203 1.9652
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.03483 0.06234 64.721 < 2e-16 ***
## ConditionDirNorm 0.12646 0.08811 1.435 0.15129
## ConditionIndNorm 0.18454 0.08784 2.101 0.03572 *
## ConditionDirect 0.22130 0.08784 2.519 0.01180 *
## ConditionIndirect 0.14834 0.08806 1.685 0.09214 .
## ConditionDirNormBE 0.04238 0.08784 0.482 0.62950
## ConditionIndNormBE 0.14488 0.08779 1.650 0.09895 .
## ConditionDirBE 0.22684 0.08789 2.581 0.00989 **
## ConditionIndBE 0.15941 0.08833 1.805 0.07120 .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.25 on 3639 degrees of freedom
## (3 observations deleted due to missingness)
## Multiple R-squared: 0.003262, Adjusted R-squared: 0.00107
## F-statistic: 1.488 on 8 and 3639 DF, p-value: 0.1558
summary(lm(HA_34~Condition, data = climate_labels))
##
## Call:
## lm(formula = HA_34 ~ Condition, data = climate_labels)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.3096 -0.7221 0.2281 0.8064 1.8731
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.12687 0.06536 63.142 <2e-16 ***
## ConditionDirNorm 0.09522 0.09237 1.031 0.3027
## ConditionIndNorm 0.14152 0.09209 1.537 0.1245
## ConditionDirect 0.17583 0.09209 1.909 0.0563 .
## ConditionIndirect 0.08972 0.09232 0.972 0.3312
## ConditionDirNormBE 0.06676 0.09209 0.725 0.4685
## ConditionIndNormBE 0.07607 0.09203 0.827 0.4086
## ConditionDirBE 0.18272 0.09215 1.983 0.0475 *
## ConditionIndBE 0.14506 0.09260 1.566 0.1173
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.31 on 3639 degrees of freedom
## (3 observations deleted due to missingness)
## Multiple R-squared: 0.001782, Adjusted R-squared: -0.0004124
## F-statistic: 0.8121 on 8 and 3639 DF, p-value: 0.5918
summary(lm(EB_56~Condition, data = climate_labels))
##
## Call:
## lm(formula = EB_56 ~ Condition, data = climate_labels)
##
## Residuals:
## Min 1Q Median 3Q Max
## -1.64109 -0.99632 -0.09559 0.87438 2.50368
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 2.625622 0.053819 48.786 <2e-16 ***
## ConditionDirNorm -0.042701 0.076018 -0.562 0.5743
## ConditionIndNorm -0.007975 0.075832 -0.105 0.9163
## ConditionDirect -0.030034 0.075832 -0.396 0.6921
## ConditionIndirect 0.015467 0.076018 0.203 0.8388
## ConditionDirNormBE -0.129298 0.075832 -1.705 0.0883 .
## ConditionIndNormBE -0.035157 0.075786 -0.464 0.6427
## ConditionDirBE -0.011371 0.075878 -0.150 0.8809
## ConditionIndBE -0.024118 0.076255 -0.316 0.7518
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.079 on 3640 degrees of freedom
## (2 observations deleted due to missingness)
## Multiple R-squared: 0.001331, Adjusted R-squared: -0.000864
## F-statistic: 0.6063 on 8 and 3640 DF, p-value: 0.7733
#norm items with norms
summary(lm(DescN~Norm, data = InteractAnalyses))
##
## Call:
## lm(formula = DescN ~ Norm, data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -44.867 -19.867 0.133 17.909 57.909
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 42.0909 0.6025 69.859 < 2e-16 ***
## Norm 2.7763 0.8508 3.263 0.00111 **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 24.22 on 3240 degrees of freedom
## (5 observations deleted due to missingness)
## Multiple R-squared: 0.003276, Adjusted R-squared: 0.002968
## F-statistic: 10.65 on 1 and 3240 DF, p-value: 0.001113
summary(lm(Inj~Norm, data = InteractAnalyses))
##
## Call:
## lm(formula = Inj ~ Norm, data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -1.7934 -0.7934 -0.1854 0.7066 2.3146
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 2.68541 0.02472 108.638 < 2e-16 ***
## Norm 0.10802 0.03490 3.095 0.00198 **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.9943 on 3245 degrees of freedom
## Multiple R-squared: 0.002944, Adjusted R-squared: 0.002636
## F-statistic: 9.58 on 1 and 3245 DF, p-value: 0.001984
summary(lm(DN1~Norm, data = InteractAnalyses))
##
## Call:
## lm(formula = DN1 ~ Norm, data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.5402 -0.5402 0.4598 0.4889 2.4889
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.51112 0.03068 147.054 <2e-16 ***
## Norm 0.02908 0.04331 0.672 0.502
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.234 on 3245 degrees of freedom
## Multiple R-squared: 0.0001389, Adjusted R-squared: -0.0001692
## F-statistic: 0.451 on 1 and 3245 DF, p-value: 0.5019
summary(lm(DN2~Norm, data = InteractAnalyses))
##
## Call:
## lm(formula = DN2 ~ Norm, data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.4202 -1.4147 0.5798 0.5853 2.5853
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.414710 0.035216 96.965 <2e-16 ***
## Norm 0.005438 0.049726 0.109 0.913
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.417 on 3244 degrees of freedom
## (1 observation deleted due to missingness)
## Multiple R-squared: 3.686e-06, Adjusted R-squared: -0.0003046
## F-statistic: 0.01196 on 1 and 3244 DF, p-value: 0.9129
# dotted lines for norms
summary(lm(HA_12~Norm, data = InteractAnalyses))
##
## Call:
## lm(formula = HA_12 ~ Norm, data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.2240 -0.7240 -0.1594 0.8406 1.8406
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.22404 0.03114 135.65 <2e-16 ***
## Norm -0.06464 0.04397 -1.47 0.142
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.253 on 3244 degrees of freedom
## (1 observation deleted due to missingness)
## Multiple R-squared: 0.0006659, Adjusted R-squared: 0.0003578
## F-statistic: 2.161 on 1 and 3244 DF, p-value: 0.1416
summary(lm(HA_34~Norm, data = InteractAnalyses))
##
## Call:
## lm(formula = HA_34 ~ Norm, data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.2753 -0.7217 0.2247 0.7783 1.7783
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.27534 0.03248 131.650 <2e-16 ***
## Norm -0.05360 0.04586 -1.169 0.243
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.306 on 3244 degrees of freedom
## (1 observation deleted due to missingness)
## Multiple R-squared: 0.0004209, Adjusted R-squared: 0.0001128
## F-statistic: 1.366 on 1 and 3244 DF, p-value: 0.2426
summary(lm(EB_12~Norm, data = InteractAnalyses))
##
## Call:
## lm(formula = EB_12 ~ Norm, data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -1.8779 -0.8173 0.1221 0.6827 2.1827
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 2.87794 0.02622 109.753 <2e-16 ***
## Norm -0.06068 0.03703 -1.639 0.101
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.055 on 3244 degrees of freedom
## (1 observation deleted due to missingness)
## Multiple R-squared: 0.0008271, Adjusted R-squared: 0.0005191
## F-statistic: 2.685 on 1 and 3244 DF, p-value: 0.1014
summary(lm(EB_34~Norm, data = InteractAnalyses))
##
## Call:
## lm(formula = EB_34 ~ Norm, data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.13164 -0.59398 -0.09398 0.40602 1.90602
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.13164 0.02321 134.902 <2e-16 ***
## Norm -0.03766 0.03278 -1.149 0.251
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.9338 on 3244 degrees of freedom
## (1 observation deleted due to missingness)
## Multiple R-squared: 0.0004068, Adjusted R-squared: 9.867e-05
## F-statistic: 1.32 on 1 and 3244 DF, p-value: 0.2506
summary(lm(EB_56~Norm, data = InteractAnalyses))
##
## Call:
## lm(formula = EB_56 ~ Norm, data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -1.61310 -1.07182 -0.07182 0.88690 2.42818
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 2.61310 0.02694 96.993 <2e-16 ***
## Norm -0.04128 0.03804 -1.085 0.278
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.084 on 3245 degrees of freedom
## Multiple R-squared: 0.0003628, Adjusted R-squared: 5.477e-05
## F-statistic: 1.178 on 1 and 3245 DF, p-value: 0.2779
#EB for broader effort
summary(lm(EB_12~BroaderEffort, data = InteractAnalyses)) #check the individual items for BE
##
## Call:
## lm(formula = EB_12 ~ BroaderEffort, data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -1.8634 -0.8316 0.1366 0.6684 2.1684
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 2.83159 0.02618 108.15 <2e-16 ***
## BroaderEffort 0.03185 0.03704 0.86 0.39
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.055 on 3244 degrees of freedom
## (1 observation deleted due to missingness)
## Multiple R-squared: 0.0002279, Adjusted R-squared: -8.026e-05
## F-statistic: 0.7396 on 1 and 3244 DF, p-value: 0.3899
summary(lm(EB_34~BroaderEffort, data = InteractAnalyses))
##
## Call:
## lm(formula = EB_34 ~ BroaderEffort, data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.12700 -0.59852 -0.09852 0.40148 1.90148
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.09852 0.02317 133.711 <2e-16 ***
## BroaderEffort 0.02848 0.03278 0.869 0.385
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.9339 on 3244 degrees of freedom
## (1 observation deleted due to missingness)
## Multiple R-squared: 0.0002326, Adjusted R-squared: -7.556e-05
## F-statistic: 0.7548 on 1 and 3244 DF, p-value: 0.385
summary(lm(EB_56~BroaderEffort, data = InteractAnalyses))
##
## Call:
## lm(formula = EB_56 ~ BroaderEffort, data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -1.60930 -1.07548 -0.07548 0.89070 2.42452
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 2.60930 0.02689 97.025 <2e-16 ***
## BroaderEffort -0.03382 0.03804 -0.889 0.374
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.084 on 3245 degrees of freedom
## Multiple R-squared: 0.0002436, Adjusted R-squared: -6.454e-05
## F-statistic: 0.7905 on 1 and 3245 DF, p-value: 0.374
#individual EB items for Broader Effort
summary(lm(EB1~BroaderEffort, data = InteractAnalyses))
##
## Call:
## lm(formula = EB1 ~ BroaderEffort, data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -1.6128 -0.6128 -0.6041 0.3959 2.3959
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 2.60406 0.03028 86.009 <2e-16 ***
## BroaderEffort 0.00876 0.04283 0.205 0.838
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.22 on 3244 degrees of freedom
## (1 observation deleted due to missingness)
## Multiple R-squared: 1.289e-05, Adjusted R-squared: -0.0002954
## F-statistic: 0.04183 on 1 and 3244 DF, p-value: 0.838
summary(lm(EB2~BroaderEffort, data = InteractAnalyses))
##
## Call:
## lm(formula = EB2 ~ BroaderEffort, data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -1.94089 -0.94089 0.05911 1.05911 2.11406
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 2.94089 0.03166 92.894 <2e-16 ***
## BroaderEffort -0.05494 0.04479 -1.227 0.22
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.276 on 3244 degrees of freedom
## (1 observation deleted due to missingness)
## Multiple R-squared: 0.0004637, Adjusted R-squared: 0.0001556
## F-statistic: 1.505 on 1 and 3244 DF, p-value: 0.22
summary(lm(EB3~BroaderEffort, data = InteractAnalyses))
##
## Call:
## lm(formula = EB3 ~ BroaderEffort, data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -1.8461 -0.8461 0.1539 1.1539 2.1677
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 2.84606 0.02865 99.343 <2e-16 ***
## BroaderEffort -0.01375 0.04053 -0.339 0.734
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.155 on 3244 degrees of freedom
## (1 observation deleted due to missingness)
## Multiple R-squared: 3.55e-05, Adjusted R-squared: -0.0002728
## F-statistic: 0.1152 on 1 and 3244 DF, p-value: 0.7344
summary(lm(EB4~BroaderEffort, data = InteractAnalyses))
##
## Call:
## lm(formula = EB4 ~ BroaderEffort, data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -1.649 -0.649 0.351 1.351 2.422
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 2.64901 0.03055 86.723 <2e-16 ***
## BroaderEffort -0.07072 0.04321 -1.637 0.102
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.231 on 3244 degrees of freedom
## (1 observation deleted due to missingness)
## Multiple R-squared: 0.0008249, Adjusted R-squared: 0.0005169
## F-statistic: 2.678 on 1 and 3244 DF, p-value: 0.1018
summary(lm(EB5~BroaderEffort, data = InteractAnalyses))
##
## Call:
## lm(formula = EB5 ~ BroaderEffort, data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -1.6804 -0.6804 0.3196 1.3196 2.3660
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 2.68042 0.03089 86.779 <2e-16 ***
## BroaderEffort -0.04641 0.04369 -1.062 0.288
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.245 on 3245 degrees of freedom
## Multiple R-squared: 0.0003476, Adjusted R-squared: 3.954e-05
## F-statistic: 1.128 on 1 and 3245 DF, p-value: 0.2882
summary(lm(EB6~BroaderEffort, data = InteractAnalyses))
##
## Call:
## lm(formula = EB6 ~ BroaderEffort, data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.4831 -0.4831 0.5169 1.5169 1.5382
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.46182 0.03140 110.259 <2e-16 ***
## BroaderEffort 0.02123 0.04441 0.478 0.633
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.265 on 3245 degrees of freedom
## Multiple R-squared: 7.045e-05, Adjusted R-squared: -0.0002377
## F-statistic: 0.2286 on 1 and 3245 DF, p-value: 0.6326
#SR for Broader effort
summary(lm(SR_12~BroaderEffort, data = InteractAnalyses))
##
## Call:
## lm(formula = SR_12 ~ BroaderEffort, data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.2756 -0.7227 -0.2227 0.7773 2.7773
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.77555 0.03341 113.014 <2e-16 ***
## BroaderEffort -0.05282 0.04725 -1.118 0.264
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.346 on 3245 degrees of freedom
## Multiple R-squared: 0.0003849, Adjusted R-squared: 7.683e-05
## F-statistic: 1.249 on 1 and 3245 DF, p-value: 0.2637
summary(lm(SR_34~BroaderEffort, data = InteractAnalyses))
##
## Call:
## lm(formula = SR_34 ~ BroaderEffort, data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.3300 -0.7486 -0.2486 0.7514 2.7514
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.83005 0.03275 116.940 <2e-16 ***
## BroaderEffort -0.08144 0.04633 -1.758 0.0789 .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.32 on 3245 degrees of freedom
## Multiple R-squared: 0.0009514, Adjusted R-squared: 0.0006435
## F-statistic: 3.09 on 1 and 3245 DF, p-value: 0.07886
#individual SR items for Broader Effort
summary(lm(SR1~BroaderEffort, data = InteractAnalyses))
##
## Call:
## lm(formula = SR1 ~ BroaderEffort, data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -4.0486 -0.9532 0.0468 1.0468 2.0468
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 5.04865 0.04026 125.402 <2e-16 ***
## BroaderEffort -0.09547 0.05694 -1.677 0.0937 .
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.622 on 3245 degrees of freedom
## Multiple R-squared: 0.0008655, Adjusted R-squared: 0.0005576
## F-statistic: 2.811 on 1 and 3245 DF, p-value: 0.09372
summary(lm(SR2~BroaderEffort, data = InteractAnalyses))
##
## Call:
## lm(formula = SR2 ~ BroaderEffort, data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.5077 -0.5077 0.4923 1.4923 2.5025
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.49754 0.04390 102.452 <2e-16 ***
## BroaderEffort 0.01016 0.06209 0.164 0.87
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.769 on 3245 degrees of freedom
## Multiple R-squared: 8.259e-06, Adjusted R-squared: -0.0002999
## F-statistic: 0.0268 on 1 and 3245 DF, p-value: 0.87
summary(lm(SR3~BroaderEffort, data = InteractAnalyses))
##
## Call:
## lm(formula = SR3 ~ BroaderEffort, data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -4.0998 -0.0998 -0.0074 0.9926 1.9926
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 5.09975 0.04059 125.645 <2e-16 ***
## BroaderEffort -0.09236 0.05741 -1.609 0.108
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.636 on 3245 degrees of freedom
## Multiple R-squared: 0.000797, Adjusted R-squared: 0.000489
## F-statistic: 2.588 on 1 and 3245 DF, p-value: 0.1078
summary(lm(SR4~BroaderEffort, data = InteractAnalyses))
##
## Call:
## lm(formula = SR4 ~ BroaderEffort, data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.5102 -0.5102 0.4898 1.4898 2.5603
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.43966 0.04396 100.985 <2e-16 ***
## BroaderEffort 0.07051 0.06218 1.134 0.257
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.772 on 3245 degrees of freedom
## Multiple R-squared: 0.0003961, Adjusted R-squared: 8.803e-05
## F-statistic: 1.286 on 1 and 3245 DF, p-value: 0.2569
# Norm and broader effort
summary(lm(Inj~BroaderEffort, data = InteractAnalyses))
##
## Call:
## lm(formula = Inj ~ BroaderEffort, data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -1.7817 -0.7817 -0.1975 0.7183 2.3025
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 2.78171 0.02469 112.677 <2e-16 ***
## BroaderEffort -0.08424 0.03492 -2.412 0.0159 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.9949 on 3245 degrees of freedom
## Multiple R-squared: 0.00179, Adjusted R-squared: 0.001483
## F-statistic: 5.82 on 1 and 3245 DF, p-value: 0.0159
summary(lm(IN2~BroaderEffort, data = InteractAnalyses))
##
## Call:
## lm(formula = IN2 ~ BroaderEffort, data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -1.95012 -0.86128 0.04988 1.04988 2.13872
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 2.95012 0.02775 106.313 <2e-16 ***
## BroaderEffort -0.08884 0.03926 -2.263 0.0237 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.118 on 3244 degrees of freedom
## (1 observation deleted due to missingness)
## Multiple R-squared: 0.001576, Adjusted R-squared: 0.001269
## F-statistic: 5.122 on 1 and 3244 DF, p-value: 0.02369
summary(lm(DN1~BroaderEffort, data = InteractAnalyses))
##
## Call:
## lm(formula = DN1 ~ BroaderEffort, data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.5367 -0.5367 0.4633 0.4852 2.4852
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.51478 0.03062 147.442 <2e-16 ***
## BroaderEffort 0.02188 0.04331 0.505 0.613
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.234 on 3245 degrees of freedom
## Multiple R-squared: 7.866e-05, Adjusted R-squared: -0.0002295
## F-statistic: 0.2553 on 1 and 3245 DF, p-value: 0.6134
summary(lm(DN2~BroaderEffort, data = InteractAnalyses))
##
## Call:
## lm(formula = DN2 ~ BroaderEffort, data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.4346 -1.4002 0.5654 0.5998 2.5997
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.40025 0.03515 96.740 <2e-16 ***
## BroaderEffort 0.03440 0.04972 0.692 0.489
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.416 on 3244 degrees of freedom
## (1 observation deleted due to missingness)
## Multiple R-squared: 0.0001475, Adjusted R-squared: -0.0001607
## F-statistic: 0.4787 on 1 and 3244 DF, p-value: 0.4891
summary(lm(DescN~BroaderEffort, data = InteractAnalyses))
##
## Call:
## lm(formula = DescN ~ BroaderEffort, data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -43.913 -18.913 1.087 16.946 56.946
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 43.0543 0.6023 71.484 <2e-16 ***
## BroaderEffort 0.8586 0.8520 1.008 0.314
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 24.26 on 3240 degrees of freedom
## (5 observations deleted due to missingness)
## Multiple R-squared: 0.0003134, Adjusted R-squared: 4.808e-06
## F-statistic: 1.016 on 1 and 3240 DF, p-value: 0.3136
summary(lm(ISM_12~Harm, data = InteractAnalyses))
##
## Call:
## lm(formula = ISM_12 ~ Harm, data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.2443 -0.7265 0.2557 0.7735 1.7735
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.22654 0.02697 119.647 <2e-16 ***
## Harm 0.01777 0.03810 0.466 0.641
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.085 on 3245 degrees of freedom
## Multiple R-squared: 6.706e-05, Adjusted R-squared: -0.0002411
## F-statistic: 0.2176 on 1 and 3245 DF, p-value: 0.6409
summary(lm(ISM_34~Harm, data = InteractAnalyses))
##
## Call:
## lm(formula = ISM_34 ~ Harm, data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.55071 -0.55071 -0.05071 0.70505 1.46080
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.53920 0.02264 156.30 <2e-16 ***
## Harm 0.01151 0.03199 0.36 0.719
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.9114 on 3245 degrees of freedom
## Multiple R-squared: 3.989e-05, Adjusted R-squared: -0.0002683
## F-statistic: 0.1295 on 1 and 3245 DF, p-value: 0.719
summary(lm(ISM_56~Harm, data = InteractAnalyses))
##
## Call:
## lm(formula = ISM_56 ~ Harm, data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.48033 -0.48033 0.02716 1.01967 1.52716
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.472840 0.027407 126.714 <2e-16 ***
## Harm 0.007492 0.038718 0.194 0.847
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.103 on 3245 degrees of freedom
## Multiple R-squared: 1.154e-05, Adjusted R-squared: -0.0002966
## F-statistic: 0.03745 on 1 and 3245 DF, p-value: 0.8466
summary(lm(ISM_12~Norm, data = InteractAnalyses))
##
## Call:
## lm(formula = ISM_12 ~ Norm, data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.2763 -0.6949 0.2237 0.8051 1.8051
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.27627 0.02697 121.497 <2e-16 ***
## Norm -0.08136 0.03807 -2.137 0.0327 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.085 on 3245 degrees of freedom
## Multiple R-squared: 0.001405, Adjusted R-squared: 0.001098
## F-statistic: 4.567 on 1 and 3245 DF, p-value: 0.03266
summary(lm(ISM_34~Norm, data = InteractAnalyses))
##
## Call:
## lm(formula = ISM_34 ~ Norm, data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.54574 -0.54574 -0.04574 0.70503 1.45580
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.545735 0.022658 156.491 <2e-16 ***
## Norm -0.001537 0.031989 -0.048 0.962
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.9114 on 3245 degrees of freedom
## Multiple R-squared: 7.11e-07, Adjusted R-squared: -0.0003075
## F-statistic: 0.002307 on 1 and 3245 DF, p-value: 0.9617
summary(lm(ISM_56~Norm, data = InteractAnalyses))
##
## Call:
## lm(formula = ISM_56 ~ Norm, data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.49382 -0.49382 0.04052 1.00618 1.54052
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.49382 0.02742 127.415 <2e-16 ***
## Norm -0.03434 0.03871 -0.887 0.375
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.103 on 3245 degrees of freedom
## Multiple R-squared: 0.0002423, Adjusted R-squared: -6.574e-05
## F-statistic: 0.7866 on 1 and 3245 DF, p-value: 0.3752
summary(lm(ISM_12~BroaderEffort, data = InteractAnalyses))
##
## Call:
## lm(formula = ISM_12 ~ BroaderEffort, data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.2632 -0.7076 0.2368 0.7924 1.7924
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.26324 0.02693 121.19 <2e-16 ***
## BroaderEffort -0.05560 0.03809 -1.46 0.144
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.085 on 3245 degrees of freedom
## Multiple R-squared: 0.0006563, Adjusted R-squared: 0.0003484
## F-statistic: 2.131 on 1 and 3245 DF, p-value: 0.1444
summary(lm(ISM_34~BroaderEffort, data = InteractAnalyses))
##
## Call:
## lm(formula = ISM_34 ~ BroaderEffort, data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.55419 -0.55419 -0.05419 0.70504 1.46426
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.55419 0.02261 157.162 <2e-16 ***
## BroaderEffort -0.01845 0.03199 -0.577 0.564
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.9113 on 3245 degrees of freedom
## Multiple R-squared: 0.0001025, Adjusted R-squared: -0.0002056
## F-statistic: 0.3327 on 1 and 3245 DF, p-value: 0.5641
summary(lm(ISM_56~BroaderEffort, data = InteractAnalyses))
##
## Call:
## lm(formula = ISM_56 ~ BroaderEffort, data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.50062 -0.50062 0.04744 0.99938 1.54744
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.50062 0.02737 127.914 <2e-16 ***
## BroaderEffort -0.04806 0.03871 -1.242 0.214
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.103 on 3245 degrees of freedom
## Multiple R-squared: 0.0004748, Adjusted R-squared: 0.0001668
## F-statistic: 1.541 on 1 and 3245 DF, p-value: 0.2145
correlational for control group only: beliefs to coalescent
beliefs
DiscreteBeliefs <- climate_labels[, c("Inj", "DN1", "DN2", "DescN",
"HA_12", "HA_34",
"EB_12", "EB_34", "EB_56",
"SR_12", "SR_34")]
CoalescentBeliefs <- climate_labels[, c("ISM_12", "ISM_34", "ISM_56")]
cor_matrix_control <- cor(DiscreteBeliefs, CoalescentBeliefs, use = "complete.obs")
print(cor_matrix_control)
## ISM_12 ISM_34 ISM_56
## Inj 0.4216142 0.2215406 0.4012560
## DN1 0.2122344 0.1582244 0.2295021
## DN2 0.3904008 0.1720420 0.4021979
## DescN 0.3291507 0.1890209 0.3278693
## HA_12 0.6110485 0.3831671 0.6431643
## HA_34 0.6217566 0.3929884 0.6624370
## EB_12 0.5688091 0.3377211 0.5922310
## EB_34 0.5337360 0.3514100 0.5849420
## EB_56 0.5103852 0.2463809 0.4769093
## SR_12 0.5094293 0.3727764 0.5302526
## SR_34 0.5112970 0.3790889 0.5401448
cor_matrix_control <- corr.test(DiscreteBeliefs, CoalescentBeliefs)
cor_matrix_control
## Call:corr.test(x = DiscreteBeliefs, y = CoalescentBeliefs)
## Correlation matrix
## ISM_12 ISM_34 ISM_56
## Inj 0.42 0.22 0.40
## DN1 0.21 0.16 0.23
## DN2 0.39 0.17 0.40
## DescN 0.33 0.19 0.33
## HA_12 0.61 0.38 0.64
## HA_34 0.62 0.39 0.66
## EB_12 0.57 0.34 0.59
## EB_34 0.53 0.35 0.58
## EB_56 0.51 0.25 0.48
## SR_12 0.51 0.37 0.53
## SR_34 0.51 0.38 0.54
## Sample Size
## ISM_12 ISM_34 ISM_56
## Inj 3649 3649 3649
## DN1 3649 3649 3649
## DN2 3648 3648 3648
## DescN 3644 3644 3644
## HA_12 3648 3648 3648
## HA_34 3648 3648 3648
## EB_12 3648 3648 3648
## EB_34 3648 3648 3648
## EB_56 3649 3649 3649
## SR_12 3649 3649 3649
## SR_34 3649 3649 3649
## These are the unadjusted probability values.
## The probability values adjusted for multiple tests are in the p.adj object.
## ISM_12 ISM_34 ISM_56
## Inj 0 0 0
## DN1 0 0 0
## DN2 0 0 0
## DescN 0 0 0
## HA_12 0 0 0
## HA_34 0 0 0
## EB_12 0 0 0
## EB_34 0 0 0
## EB_56 0 0 0
## SR_12 0 0 0
## SR_34 0 0 0
##
## To see confidence intervals of the correlations, print with the short=FALSE option
CoalescentBeliefs
## # A tibble: 3,651 × 3
## ISM_12 ISM_34 ISM_56
## <dbl> <dbl> <dbl>
## 1 2.5 4.5 3
## 2 3 4.5 3
## 3 2.5 3 3
## 4 3 2.5 2.5
## 5 3.5 3.5 3.5
## 6 4 4 4
## 7 4.5 4.5 4
## 8 4 3 3.5
## 9 4 5 4.5
## 10 2.5 4 4.5
## # ℹ 3,641 more rows
corrplot(as.matrix(cor_matrix_control$r), method = "circle", p.mat = cor_matrix_control$p, insig = "p-value",
tl.col = "black", tl.srt = 45,
title = "Correlation Plot of Control DB on CB", mar = c(0, 0, 1, 0))
#discrete beliefs and coalescent beliefs
#harm attribution
summary(lm(ISM_12~HA_12, data = InteractAnalyses))
##
## Call:
## lm(formula = ISM_12 ~ HA_12, data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.1898 -0.6065 0.1019 0.6297 3.4491
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 1.02314 0.05278 19.39 <2e-16 ***
## HA_12 0.52777 0.01206 43.75 <2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.861 on 3244 degrees of freedom
## (1 observation deleted due to missingness)
## Multiple R-squared: 0.371, Adjusted R-squared: 0.3709
## F-statistic: 1914 on 1 and 3244 DF, p-value: < 2.2e-16
summary(lm(ISM_56~HA_12, data = InteractAnalyses))
##
## Call:
## lm(formula = ISM_56 ~ HA_12, data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.5055 -0.5055 0.0635 0.5635 3.3393
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 1.09176 0.05162 21.15 <2e-16 ***
## HA_12 0.56895 0.01180 48.22 <2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.842 on 3244 degrees of freedom
## (1 observation deleted due to missingness)
## Multiple R-squared: 0.4175, Adjusted R-squared: 0.4173
## F-statistic: 2325 on 1 and 3244 DF, p-value: < 2.2e-16
summary(lm(ISM_12~HA_34, data = InteractAnalyses))
##
## Call:
## lm(formula = ISM_12 ~ HA_34, data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.1366 -0.6075 -0.0639 0.6352 3.4361
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 1.04939 0.05091 20.61 <2e-16 ***
## HA_34 0.51454 0.01145 44.92 <2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.8524 on 3244 degrees of freedom
## (1 observation deleted due to missingness)
## Multiple R-squared: 0.3835, Adjusted R-squared: 0.3833
## F-statistic: 2018 on 1 and 3244 DF, p-value: < 2.2e-16
summary(lm(ISM_56~HA_34, data = InteractAnalyses))
##
## Call:
## lm(formula = ISM_56 ~ HA_34, data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.4551 -0.5585 0.1036 0.6036 3.3381
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 1.10326 0.04942 22.33 <2e-16 ***
## HA_34 0.55863 0.01112 50.25 <2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.8273 on 3244 degrees of freedom
## (1 observation deleted due to missingness)
## Multiple R-squared: 0.4377, Adjusted R-squared: 0.4375
## F-statistic: 2525 on 1 and 3244 DF, p-value: < 2.2e-16
#norms
summary(lm(ISM_12~DN2, data = InteractAnalyses))
##
## Call:
## lm(formula = ISM_12 ~ DN2, data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.00198 -0.70520 0.09158 0.79480 2.48193
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 2.22128 0.04589 48.40 <2e-16 ***
## DN2 0.29678 0.01241 23.92 <2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.001 on 3244 degrees of freedom
## (1 observation deleted due to missingness)
## Multiple R-squared: 0.15, Adjusted R-squared: 0.1497
## F-statistic: 572.3 on 1 and 3244 DF, p-value: < 2.2e-16
summary(lm(ISM_34~DN2, data = InteractAnalyses))
##
## Call:
## lm(formula = ISM_34 ~ DN2, data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.8208 -0.6073 -0.1073 0.7129 1.7129
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.18034 0.04121 77.169 <2e-16 ***
## DN2 0.10675 0.01114 9.581 <2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.8989 on 3244 degrees of freedom
## (1 observation deleted due to missingness)
## Multiple R-squared: 0.02752, Adjusted R-squared: 0.02722
## F-statistic: 91.8 on 1 and 3244 DF, p-value: < 2.2e-16
summary(lm(ISM_56~DN2, data = InteractAnalyses))
##
## Call:
## lm(formula = ISM_56 ~ DN2, data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.2735 -0.6560 0.0352 0.7703 2.2703
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 2.42095 0.04642 52.15 <2e-16 ***
## DN2 0.30876 0.01255 24.60 <2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.013 on 3244 degrees of freedom
## (1 observation deleted due to missingness)
## Multiple R-squared: 0.1572, Adjusted R-squared: 0.157
## F-statistic: 605.3 on 1 and 3244 DF, p-value: < 2.2e-16
summary(lm(ISM_12~Inj, data = InteractAnalyses))
##
## Call:
## lm(formula = ISM_12 ~ Inj, data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.2620 -0.6725 0.1005 0.6921 2.5546
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 1.99121 0.05071 39.27 <2e-16 ***
## Inj 0.45417 0.01740 26.11 <2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.9867 on 3245 degrees of freedom
## Multiple R-squared: 0.1736, Adjusted R-squared: 0.1733
## F-statistic: 681.6 on 1 and 3245 DF, p-value: < 2.2e-16
summary(lm(ISM_34~Inj, data = InteractAnalyses))
##
## Call:
## lm(formula = ISM_34 ~ Inj, data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.70201 -0.59874 -0.09874 0.69473 1.81431
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 2.97916 0.04563 65.30 <2e-16 ***
## Inj 0.20653 0.01565 13.19 <2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.8879 on 3245 degrees of freedom
## Multiple R-squared: 0.05092, Adjusted R-squared: 0.05062
## F-statistic: 174.1 on 1 and 3245 DF, p-value: < 2.2e-16
summary(lm(ISM_56~Inj, data = InteractAnalyses))
##
## Call:
## lm(formula = ISM_56 ~ Inj, data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.4733 -0.6505 0.0700 0.7904 2.2904
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 2.26864 0.05200 43.63 <2e-16 ***
## Inj 0.44092 0.01784 24.71 <2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.012 on 3245 degrees of freedom
## Multiple R-squared: 0.1584, Adjusted R-squared: 0.1582
## F-statistic: 610.8 on 1 and 3245 DF, p-value: < 2.2e-16
summary(lm(ISM_12~DN1, data = InteractAnalyses))
##
## Call:
## lm(formula = ISM_12 ~ DN1, data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.68613 -0.63969 0.04245 0.76924 2.40674
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 2.41111 0.07086 34.03 <2e-16 ***
## DN1 0.18215 0.01511 12.06 <2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.062 on 3245 degrees of freedom
## Multiple R-squared: 0.04288, Adjusted R-squared: 0.04259
## F-statistic: 145.4 on 1 and 3245 DF, p-value: < 2.2e-16
summary(lm(ISM_34~DN1, data = InteractAnalyses))
##
## Call:
## lm(formula = ISM_34 ~ DN1, data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.82123 -0.59792 -0.09792 0.73704 1.84869
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.03965 0.06012 50.562 <2e-16 ***
## DN1 0.11165 0.01282 8.712 <2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.9009 on 3245 degrees of freedom
## Multiple R-squared: 0.02285, Adjusted R-squared: 0.02255
## F-statistic: 75.9 on 1 and 3245 DF, p-value: < 2.2e-16
summary(lm(ISM_56~DN1, data = InteractAnalyses))
##
## Call:
## lm(formula = ISM_56 ~ DN1, data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.9693 -0.6728 0.1281 0.9290 2.2254
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 2.57545 0.07176 35.89 <2e-16 ***
## DN1 0.19912 0.01530 13.02 <2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.075 on 3245 degrees of freedom
## Multiple R-squared: 0.04962, Adjusted R-squared: 0.04932
## F-statistic: 169.4 on 1 and 3245 DF, p-value: < 2.2e-16
summary(lm(ISM_12~DescN, data = InteractAnalyses))
##
## Call:
## lm(formula = ISM_12 ~ DescN, data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.91889 -0.68117 0.03561 0.75588 2.40272
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 2.5972762 0.0369793 70.24 <2e-16 ***
## DescN 0.0146846 0.0007427 19.77 <2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.026 on 3240 degrees of freedom
## (5 observations deleted due to missingness)
## Multiple R-squared: 0.1077, Adjusted R-squared: 0.1074
## F-statistic: 390.9 on 1 and 3240 DF, p-value: < 2.2e-16
summary(lm(ISM_34~DescN, data = InteractAnalyses))
##
## Call:
## lm(formula = ISM_34 ~ DescN, data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -2.59483 -0.59483 -0.09483 0.70894 1.78489
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.2151145 0.0321916 99.87 <2e-16 ***
## DescN 0.0075944 0.0006466 11.75 <2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.8928 on 3240 degrees of freedom
## (5 observations deleted due to missingness)
## Multiple R-squared: 0.04084, Adjusted R-squared: 0.04055
## F-statistic: 138 on 1 and 3240 DF, p-value: < 2.2e-16
summary(lm(ISM_56~DescN, data = InteractAnalyses))
##
## Call:
## lm(formula = ISM_56 ~ DescN, data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.03335 -0.69404 0.04296 0.81405 2.18747
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 2.8125325 0.0374727 75.06 <2e-16 ***
## DescN 0.0152602 0.0007526 20.28 <2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.039 on 3240 degrees of freedom
## (5 observations deleted due to missingness)
## Multiple R-squared: 0.1126, Adjusted R-squared: 0.1123
## F-statistic: 411.1 on 1 and 3240 DF, p-value: < 2.2e-16
#efficacy beliefs
summary(lm(ISM_12~EB_12, data = InteractAnalyses))
##
## Call:
## lm(formula = ISM_12 ~ EB_12, data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.4887 -0.6154 0.0490 0.5935 2.8401
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 1.57777 0.04522 34.89 <2e-16 ***
## EB_12 0.58218 0.01489 39.09 <2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.8951 on 3244 degrees of freedom
## (1 observation deleted due to missingness)
## Multiple R-squared: 0.3202, Adjusted R-squared: 0.32
## F-statistic: 1528 on 1 and 3244 DF, p-value: < 2.2e-16
summary(lm(ISM_56~EB_12, data = InteractAnalyses))
##
## Call:
## lm(formula = ISM_56 ~ EB_12, data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.8022 -0.5701 0.1219 0.6219 2.6620
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 1.72192 0.04502 38.25 <2e-16 ***
## EB_12 0.61605 0.01483 41.55 <2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.891 on 3244 degrees of freedom
## (1 observation deleted due to missingness)
## Multiple R-squared: 0.3474, Adjusted R-squared: 0.3472
## F-statistic: 1727 on 1 and 3244 DF, p-value: < 2.2e-16
summary(lm(ISM_34~EB_34, data = InteractAnalyses))
##
## Call:
## lm(formula = ISM_34 ~ EB_34, data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.1940 -0.5064 -0.0064 0.6498 2.1813
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 2.47484 0.05211 47.49 <2e-16 ***
## EB_34 0.34384 0.01604 21.44 <2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.853 on 3244 degrees of freedom
## (1 observation deleted due to missingness)
## Multiple R-squared: 0.1241, Adjusted R-squared: 0.1239
## F-statistic: 459.8 on 1 and 3244 DF, p-value: < 2.2e-16
summary(lm(ISM_56~EB_34, data = InteractAnalyses))
##
## Call:
## lm(formula = ISM_56 ~ EB_34, data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.7725 -0.5552 0.0710 0.6013 2.9751
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 1.33798 0.05481 24.41 <2e-16 ***
## EB_34 0.68690 0.01687 40.73 <2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.8972 on 3244 degrees of freedom
## (1 observation deleted due to missingness)
## Multiple R-squared: 0.3383, Adjusted R-squared: 0.3381
## F-statistic: 1659 on 1 and 3244 DF, p-value: < 2.2e-16
summary(lm(ISM_12~EB_56, data = InteractAnalyses))
##
## Call:
## lm(formula = ISM_12 ~ EB_56, data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.4695 -0.6755 0.0556 0.5808 2.5808
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 1.90663 0.04243 44.93 <2e-16 ***
## EB_56 0.51258 0.01510 33.94 <2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.9325 on 3245 degrees of freedom
## Multiple R-squared: 0.262, Adjusted R-squared: 0.2618
## F-statistic: 1152 on 1 and 3245 DF, p-value: < 2.2e-16
summary(lm(ISM_56~EB_56, data = InteractAnalyses))
##
## Call:
## lm(formula = ISM_56 ~ EB_56, data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.6418 -0.6739 0.0681 0.6002 2.2941
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 2.22196 0.04416 50.32 <2e-16 ***
## EB_56 0.48397 0.01572 30.79 <2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.9704 on 3245 degrees of freedom
## Multiple R-squared: 0.2261, Adjusted R-squared: 0.2259
## F-statistic: 948.2 on 1 and 3245 DF, p-value: < 2.2e-16
#system responsibility beliefs
summary(lm(ISM_34~SR_12, data = InteractAnalyses))
##
## Call:
## lm(formula = ISM_34 ~ SR_12, data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.2393 -0.6035 0.0131 0.6441 2.2751
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 2.59867 0.04392 59.17 <2e-16 ***
## SR_12 0.25240 0.01102 22.89 <2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.8457 on 3245 degrees of freedom
## Multiple R-squared: 0.1391, Adjusted R-squared: 0.1388
## F-statistic: 524.2 on 1 and 3245 DF, p-value: < 2.2e-16
summary(lm(ISM_56~SR_12, data = InteractAnalyses))
##
## Call:
## lm(formula = ISM_56 ~ SR_12, data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.6769 -0.5861 0.0685 0.6321 2.9412
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 1.84066 0.04848 37.97 <2e-16 ***
## SR_12 0.43635 0.01217 35.85 <2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.9336 on 3245 degrees of freedom
## Multiple R-squared: 0.2837, Adjusted R-squared: 0.2835
## F-statistic: 1285 on 1 and 3245 DF, p-value: < 2.2e-16
summary(lm(ISM_12~SR_34, data = InteractAnalyses))
##
## Call:
## lm(formula = ISM_12 ~ SR_34, data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.3864 -0.6126 0.0382 0.6136 3.1612
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 1.62650 0.04958 32.81 <2e-16 ***
## SR_34 0.42460 0.01236 34.36 <2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.9294 on 3245 degrees of freedom
## Multiple R-squared: 0.2668, Adjusted R-squared: 0.2666
## F-statistic: 1181 on 1 and 3245 DF, p-value: < 2.2e-16
summary(lm(ISM_34~SR_34, data = InteractAnalyses))
##
## Call:
## lm(formula = ISM_34 ~ SR_34, data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.2550 -0.4931 0.0069 0.6618 2.3167
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 2.55232 0.04498 56.74 <2e-16 ***
## SR_34 0.26196 0.01121 23.37 <2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.8432 on 3245 degrees of freedom
## Multiple R-squared: 0.1441, Adjusted R-squared: 0.1438
## F-statistic: 546.1 on 1 and 3245 DF, p-value: < 2.2e-16
summary(lm(ISM_56~SR_34, data = InteractAnalyses))
##
## Call:
## lm(formula = ISM_56 ~ SR_34, data = InteractAnalyses)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.7085 -0.5723 0.1094 0.6549 3.0183
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 1.75451 0.04938 35.53 <2e-16 ***
## SR_34 0.45445 0.01230 36.93 <2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.9256 on 3245 degrees of freedom
## Multiple R-squared: 0.296, Adjusted R-squared: 0.2957
## F-statistic: 1364 on 1 and 3245 DF, p-value: < 2.2e-16