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The intercept in regression-type models is the value of the Y variable when all X variables are 0.

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Interpretation of Intercept in mixed model with repeated contrasts

I believe that the intercept here is indeed the mean (log likelihood) of Response=1 across all conditions. The p-value for the intercept tests whether this significantly differs from 0. … I think this large standard deviation may be the cause of the non-significant intercept in this case. …
SilvaC's user avatar
  • 542
1 vote
1 answer
29 views

Interpretation of Intercept in mixed model with repeated contrasts

1.5400 0.1370 11.240 <2e-16 *** The results seem plausible except for my result for the intercept. … Is my interpretation of the intercept correct, and why is it not significant? …
SilvaC's user avatar
  • 542
1 vote
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Interpreting intercept with centered predictors in logistic mixed model

Given the inclusion of a random participant intercept, this intercept will vary between participants. … For my study, this intercept is not particularly useful, and I am focusing instead on the main effects and interaction. …
SilvaC's user avatar
  • 542
3 votes
1 answer
127 views

Interpreting intercept with centered predictors in logistic mixed model

I want to check my understanding of the intercept. … Out of interest, is there any way to reflect this in the intercept (to assess chance performance as 33% rather than 50%)? I'm not quite understanding why centering makes the intercept as 50%. …
SilvaC's user avatar
  • 542