Problem with variance absolute
Posted: Wed Mar 27, 2024 7:01 am
Hello everyone,doodle baseball
I'm running a binary response 3 level-model, MQL1 extended to PQL2. I am checking the effect of some predictors in order to expplain student achievement. One of the predictors, has a strange for me "behaviour". The absolute of the variances overlap the absolute variance of model 0. I asked my advisor and told me to calculate the variance in each level by taking into account the ceof. minus SE (of each level variance) and then substract them to find the asolute and then the explained variance. But it stills overlap model's 0 total.
Is there anything else to do in order to fix this?
I'm running a binary response 3 level-model, MQL1 extended to PQL2. I am checking the effect of some predictors in order to expplain student achievement. One of the predictors, has a strange for me "behaviour". The absolute of the variances overlap the absolute variance of model 0. I asked my advisor and told me to calculate the variance in each level by taking into account the ceof. minus SE (of each level variance) and then substract them to find the asolute and then the explained variance. But it stills overlap model's 0 total.
Is there anything else to do in order to fix this?