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Open science, better statistics, and random thoughts from Bob Calin-Jageman and Geoff Cumming. https://t.co/c7fnlPjMib
Dec 20, 2019 10 tweets 3 min read
This is your reminder that even though openness to feedback is important, you shouldn't let a few nasty student evals get to you.

Evals are not correlated with learning, are formed on snap judgements, reflect student biases, and often demean good teaching.

Thread 1/10 First - Student evals don't reflect student learning.

Not at all.

Really.

A student's rating of your effectiveness is not related to how much you helped them learn.

sciencedirect.com/science/articl…
Aug 29, 2018 4 tweets 2 min read
For fMRI "typical sample sizes produce only modestly replicable results". What's interesting is that this is for tasks with large behavioral effect sizes. Perhaps common patterns of behavior are due to diverse neural responses. My brain != your brain. tinyurl.com/yaw2hjfc More detail: the high sample sizes needed to get consistent results for fMRI seem to be due to high between-subject variability. Yet this is observed on basic cognitive tasks that have consistent behavioral results (e.g. N-Back). So similar behavior belies neural diversity.