Jiangang Xia posted on Thursday, December 01, 2016 - 9:31 pm
I have been trying to model a cross-level relationship's effect on level-1 or level-2 outcomes. For example, the relationship is between school principal's influence on decision-making and teacher's influence on decision-making. Here the relationship could be estimated through a 2-level model. My question is, how to if I want to model the relationship's effect on teacher job satisfaction? The relationship is already a slope. I am considering a random slope model that the relationship varies by a higher level such as school district. Could we use this random slope to predict other outcomes such as teacher job satisfaction? If so, how? Should I save the random slopes as a level-3 variable and then run a new regression, or I could directly model this slope's effect? Would appreciate for any thoughts.
The random slope defined on level 2 varies across the units of level 3. This means that this random slope can predict level 3 variables, for instance the level-3 part of the variation in variables measured on level 1 or level 2. That's how multilevel modeling works.
Jiangang Xia posted on Saturday, December 03, 2016 - 4:04 pm
I just want to confirm whether a random slope defined on level 2 varies across the units of level 3 could predict level-1 or level-2 variables. You know the focused outcomes are usually measured at lower levels.