One of my psychology lecturers required our class to buy the textbook Writing for Psychology (O’Shea et al., 2006). He referred to it as “The Bible”. The book talked about things like how to structure a written argument and format a research proposal, and it was the key to passing undergraduate psychology assignments.
The otherwise serious textbook devoted half a page to multiple-choice exam technique, with advice such as “pick the longest answer” and “if all else fails, choose C”. Like all good humour, it was hard to tell if the authors were joking or not. And the information was not referenced, even though the book has an entire chapter on how to reference information. But it got me wondering if there really was any pattern to multichoice tests that could be exploited to give the test taker an edge.
I decided to test my idea by throwing a couple of machine learning techniques at some sample questions.