The story of this book began with my dif?cult transition from teaching international economics and econometrics in Economics Ph. D. programs at Harvard and UCLA to teaching in the MBA programs at the Anderson School at UCLA. On the basis of 20 years of apparent teaching success in Ph. D. education, I arrived at the Anderson School in 1990 with a self-image as a star teacher, but I was greeted with highly disturbingmediocreteachingevaluations.
Facedwithadatasetthatwasinconsistent with my view of reality, I did what analysts typically do – I formulated a idea why the facts had been misleading. Here is how I notion approximately it. Two elements of the route – content material and amu- ment – pressure numerical route evaluations. If you rank publications through the common of the content material rating and the entertainment rating, then the issue that may be measured maximum as it should be will decide the ranking. Do you apprehend why? It is what – eraging does: it gets rid of the noise. Suppose, for example, that a scholar can't inform whatever approximately the content material, and the content material rating is virtually a random quantity, various from scholar to scholar. Those random numbers will common out throughout college students to approximately the equal quantity for every route. As the common route content material rating is ready the equal for each route, it's miles the entertainment rating so that it will pressure the rankings.
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