Why You Should Always Include a Random Slope for the Lower-Level Variable Involved in a Cross-Level Interaction
Abstract
Mixed-effects multilevel models are often used to investigate cross-level interactions, a specific type of context effect that may be understood as an upper-level variable moderating the association between a lower-level predictor and the outcome. We argue that multilevel models involving cross-level interactions should always include random slopes on the lower-level components of those interactions. Failure to do so will usually result in...
Paper Details
Title
Why You Should Always Include a Random Slope for the Lower-Level Variable Involved in a Cross-Level Interaction
Published Date
Apr 1, 2019
Journal
Volume
35
Issue
2
Pages
258 - 279
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