Dear List,
In a paper taking a hypothesis testing approach, we are reporting the results based on the following mixed model:
m = glmmTMB::glmmTMB(
agentic_language ~ time + event + time_since_event + speaker_gender + (time|speaker_id), data = df_regress)
We reported the r-squared using the performance::r2(m) function.
A reviewer has critiqued that conditional and marginal r-squared values being so low (< 0.04) it is a very poor model.
We are not sure if the reviewer is making a valid critique based on r-squared value for a mixed model. Do you too think the mode has no merits?
Thanks for taking the time.
Kind regards
Santosh