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?
Problem with variance absolute
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tetroupploy
- Posts: 4
- Joined: Wed Dec 20, 2023 8:55 am
Re: Problem with variance absolute
Hello,
When you talk about a quadratic relationship, you're probably talking about it on a global scale, because having only two measures per child would only allow for a linear relationship. When someone uses terminology like baseline and follow-up, it implies that something happens in between, but they don't specify what. In such circumstances, one would typically go two levels with anything at baseline as a predictor for the response at follow-up, or alternatively, use differences to demonstrate the change in development score. Not sure if that helps.
Best wishes!
Tetroupploy space bar clicker
When you talk about a quadratic relationship, you're probably talking about it on a global scale, because having only two measures per child would only allow for a linear relationship. When someone uses terminology like baseline and follow-up, it implies that something happens in between, but they don't specify what. In such circumstances, one would typically go two levels with anything at baseline as a predictor for the response at follow-up, or alternatively, use differences to demonstrate the change in development score. Not sure if that helps.
Best wishes!
Tetroupploy space bar clicker