Timeline for Multilevel model where an interaction is a varying slope
Current License: CC BY-SA 3.0
6 events
| when toggle format | what | by | license | comment | |
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| Jul 2, 2014 at 14:37 | comment | added | Adel | Yes, I would say so. Remember, that (1) when you add an interaction you are asking whether the effect of x on y changes across the values of w – or alternatively, w changes across the values of x depending on the causal story you want to tell; (2) when you then let any of these terms (x or w) vary at random there is then no good statistical reason why you should constrain the random terms only to xw since the effect on y depends now not only on the fixed effects but also on the random effects of x, z and xz. | |
| Jul 2, 2014 at 12:40 | vote | accept | George Michaelides | ||
| Jul 2, 2014 at 12:40 | comment | added | George Michaelides | Thanks. So if x or w or both do not improve the model but xw does, it is OK to keep just xw | |
| Jul 2, 2014 at 9:28 | history | edited | Nick Stauner | CC BY-SA 3.0 |
deleted 24 characters in body
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| Jul 2, 2014 at 9:24 | review | First posts | |||
| Jul 2, 2014 at 9:28 | |||||
| Jul 2, 2014 at 9:06 | history | answered | Adel | CC BY-SA 3.0 |