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Jiangang Xia posted on Thursday, December 01, 2016  9:31 pm



I have been trying to model a crosslevel relationship's effect on level1 or level2 outcomes. For example, the relationship is between school principal's influence on decisionmaking and teacher's influence on decisionmaking. Here the relationship could be estimated through a 2level 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 level3 variable and then run a new regression, or I could directly model this slope's effect? Would appreciate for any thoughts. Jiangang 


If you have 3level modeling a random slope defined on level 2 can be used to predict outcomes on level 3. 


If I have a 3level modeling, could I use this random slope to predict a level1 or level2 outcomes? 


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 level3 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 level1 or level2 variables. You know the focused outcomes are usually measured at lower levels. 


My answer stands. 

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