Logistic regression model explaining the willingness to share data and scripts.
Explaining variables:
- sexmale: 0 = female, 1 = male
- age in years
- open: openness (big five)
- cons: conscientiousness (big five)
- extr: extraversion (big five)
- agre: agreeableness (big five)
- neur: neuroticism (big five)
Call:
glm(formula = will_share ~ sex + age + open + cons + extr + agre +
neur, family = "binomial", data = data)
Deviance Residuals:
Min 1Q Median 3Q Max
-2.3492 0.4241 0.5303 0.6361 1.1986
Coefficients:
Estimate Std. Error z value Pr(>|z|)
(Intercept) 1.81216 1.45559 1.245 0.21314
sexmale -0.28170 0.31666 -0.890 0.37368
age -0.02420 0.01243 -1.947 0.05152 .
open 0.43856 0.15615 2.809 0.00497 **
cons -0.17777 0.17515 -1.015 0.31011
extr 0.12908 0.11926 1.082 0.27908
agre -0.15782 0.16186 -0.975 0.32953
neur -0.04137 0.09268 -0.446 0.65533
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
(Dispersion parameter for binomial family taken to be 1)
Null deviance: 346.61 on 376 degrees of freedom
Residual deviance: 329.49 on 369 degrees of freedom
(290 observations deleted due to missingness)
AIC: 345.49
Number of Fisher Scoring iterations: 4