Interpretation of the between-country variance as a function of 'x', random slope
Posted: Tue Oct 09, 2018 1:38 pm
Dear Community,
I have difficulties to interpret the results of the between-country variance function.
In the random slope model, I hypothesize that the effect of internal efficacy varies across countries in a relationship with the propensity to vote among young voters. Covariance structure of the model is negative and the graph subsequently shows 'fanning in' pattern. The correlation between the random slope and intercept is negative, -.07904731. Therefore, I expect that the between-country variation will decrease by increasing internal efficacy.
However, the plot shows an increase in between-country variance.
I assume that the plot shows an increase due to the situation that the coefficient of the quadratic term is larger than the coefficient of the linear term in the variance function to extend that random slope of internal efficacy contributes to the total-between community variance.
Please let me know if you have any suggestions.
Looking forward.
Regards,
Rza
I have difficulties to interpret the results of the between-country variance function.
In the random slope model, I hypothesize that the effect of internal efficacy varies across countries in a relationship with the propensity to vote among young voters. Covariance structure of the model is negative and the graph subsequently shows 'fanning in' pattern. The correlation between the random slope and intercept is negative, -.07904731. Therefore, I expect that the between-country variation will decrease by increasing internal efficacy.
However, the plot shows an increase in between-country variance.
Code: Select all
twoway function [RP2]var(cons) + 2*[RP2]cov(cons\Inteff_c)*x + [RP2]var(Inteff_c)*x^2, range(1 5) ///
bgcolor(white) graphregion(color(white)) ///
ytitle("Level 2 variance function") scale(0.7) ///
xtitle("Internal Efficacy") - between country variance function
- plot.png (70.43 KiB) Viewed 5461 times
Please let me know if you have any suggestions.
Looking forward.
Regards,
Rza