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When conducting a multilevel regression, I computed a random slope that was essentially a regression between time 2 (the DV of interest) on time 1 and several control variables. Example below: S | T2 on T1 cov1 cov2 I realized later that slopes are typically estimated between just two variables (e.g., S | T2 on T1) with no covariates. Is it incorrect to include multiple variables in the estimation of a slope? |
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The specification above creates three random slopes that are held equal. You could specify S1 | T2 on T1; S2 | T2 on cov1; S3 | T2 on cov2; or S1 | T2 on T1; T2 on cov1; T2 on cov2; |
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Thank you for your quick response. A follow-up question: If I run the analysis that creates slopes using one command: S | T2 on T1 cov1 cov2 My output includes only one mean for S. Is that the mean of all slopes? i.e., [(T2 on T2) + (T2 on cov1) + (T2 on cov2)]/3 |
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Yes, they are held equal so they constitute one random slope. |
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Thank you! |
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Thank you! |
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