Correlation of 1 . . . too good to be true?
Statistical Modeling, Causal Inference, and Social Science 2013-03-15
Summary:
Alex Hoffman points me to this interview by Dylan Matthews of education researcher Thomas Kane, who at one point says, Once you corrected for measurement error, a teacher’s score on their chosen videos and on their unchosen videos were correlated at 1. They were perfectly correlated. Hoffman asks, “What do you think? Do you think [...]