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Sep 18, 2021 at 12:20 vote accept Katie
Sep 18, 2021 at 8:30 answer added Robert Long timeline score: 2
Sep 18, 2021 at 8:16 comment added Robert Long The 2nd model is singular. As for the denomnator degress of freedom, in a mixed model this is an approximation at best and woefully wrong at worst and underlines why I recommend not using p-values at all - they are little more than a test of sample size.
Sep 17, 2021 at 21:36 history edited Katie CC BY-SA 4.0
added 2 characters in body
Sep 17, 2021 at 21:27 comment added Katie Specifically, I think my mistake may be about the degrees of freedom in my denominator, but I can't figure out how to correctly specify them. A domain expert also pointed me to this blogpost, which may be affecting my inference as well: mumfordbrainstats.tumblr.com/post/126904300281/…
Sep 17, 2021 at 21:24 comment added Katie @RobertLong thanks for the engagement! I added both outputs. As for the p-values, if asked to weigh the likelihood that an interaction in my experimental variables (e.g. typeN:taughtU ) is determining a contrast in brain activation estimable with such precision, versus the likelihood that I'm making a mistake in reasoning somewhere, I think "I'm making a mistake" is more plausible.
Sep 17, 2021 at 21:19 history edited Katie CC BY-SA 4.0
added output of summary function for both models
Sep 17, 2021 at 20:41 comment added Robert Long Please include the output of summary(model) for both models. Also please can you let us know how you determine whether a p-value is plausible ?
Sep 17, 2021 at 16:46 history edited Katie CC BY-SA 4.0
updated the question regarding singular fit warning
S Sep 17, 2021 at 13:30 review First questions
Sep 17, 2021 at 14:06
S Sep 17, 2021 at 13:30 history asked Katie CC BY-SA 4.0