- see also [[220705_154903 propensity scores|propensity scores]]
- 275 subjs
```r
condition N
1: accuracy 183
2: interest 92
```
covariate balance checks
- linear regression for continuous variables (`cov ~ condition`)
- chi-square/fisher test for categorical variables (contingency tables)
results
- 7 covariates differ between conditions: age, time/days between day1 & day2 survey completion, region, country, domain, AOT, covid concern
- 4 covariates don't differ between conditions: tenure days, gender, role, conspiracy beliefs
```r
# age differ between condition
> summaryh(lm(age ~ condition, d1))
term results
1: (Intercept) b = 27.40, SE = 0.43, t(273) = 63.16, p < .001, r = 0.97
2: conditioninterest b = 1.61, SE = 0.75, t(273) = 2.15, p = .033, r = 0.13
# tenure days ns
> summaryh(lm(tenuredays ~ condition, d1))
term results
1: (Intercept) b = 704.02, SE = 33.58, t(273) = 20.96, p < .001, r = 0.78
2: conditioninterest b = −88.67, SE = 58.06, t(273) = −1.53, p = .128, r = −0.09
# time/days between day 1 and day 2 completion significant
> summaryh(lm(gap_days ~ condition, d1))
term results
1: (Intercept) b = 4.63, SE = 0.17, t(273) = 26.98, p < .001, r = 0.85
2: conditioninterest b = −1.16, SE = 0.30, t(273) = −3.92, p < .001, r = −0.23
# gender ns
Female Male
accuracy 83 100
interest 49 43
p-value = 0.2469
# region significant (more indians - condition 6)
EU IN LATIN SEA
accuracy 8 109 3 63
interest 13 24 6 49
p-value = 0.0004998
# country significant (more indians - condition 6)
CO GR IN PH TW
accuracy 3 8 109 59 4
interest 6 13 24 44 5
p-value = 0.0004998
# domain significant (more sm [social media])
game hitech media_ent prof sm support
accuracy 15 24 15 9 119 1
interest 7 21 13 9 42 0
p-value = 0.02249
# role ns
som tl tm
accuracy 1 5 177
interest 0 5 87
p-value = 0.5402
# actively open-minded thinking significant
> summaryh(lm(aot ~ condition, d1))
term results
1: (Intercept) b = 3.36, SE = 0.09, t(273) = 36.02, p < .001, r = 0.91
2: conditioninterest b = 0.36, SE = 0.16, t(273) = 2.24, p = .026, r = 0.14
# covid concern significant
> summaryh(lm(covid_concern ~ condition, d1))
term results
1: (Intercept) b = 5.28, SE = 0.09, t(273) = 57.34, p < .001, r = 0.96
2: conditioninterest b = −0.56, SE = 0.16, t(273) = −3.53, p < .001, r = −0.21
# conspiracy beliefs ns
> summaryh(lm(conspiracy ~ condition, d1))
term results
1: (Intercept) b = 7.54, SE = 0.11, t(273) = 68.52, p < .001, r = 0.97
2: conditioninterest b = 0.15, SE = 0.19, t(273) = 0.77, p = .444, r = 0.05
```