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By Peter Preston, Poland

Teachers do calculate the average score from tests, but then nothing serious is done with it. Even when the average score is close to the pass mark little statistical comment is made about the glaring problem that this represents. For example, if the average and the pass mark are the same and the population is normally distributed around the average, this means that 50% of the students fail. Can it be considered acceptable for 50% of the candidates to fail an end-of-the-year examination or even worse an end-of-the-course examination?

In fact at our college the last third-year UoE exam failed 80% of the students. Now you would think that a statistically-minded person would immediately start asking questions about validity of the exam. Construct validity – did the items set test the points intended to be tested? Course validity – did the items tested figure in the course syllabus? Is there a proper tie-up between the course syllabus and the test specifications (if the latter exist at all)? Did the distribution of correct responses discriminate between the weak and strong candidates? Were the items either too easy [not in this case] or too difficult? Is there any objective reference to competence standards built into the teaching programme? To ask just a few relevant questions.

I would love to hear that other institutions do use statistical analysis of exam data and look at the variance between different exam sittings using the same exam or different ones, but I wonder if small institutes can ever bring together the required expertese to carry out such work either before the exam goes live or afterwards. It would be great to conduct a poll on this matter to try to assess the use of statistics in the analysis of exam data at as many institutes as possible.

Peter Preston's students in Poland

My own experience inclines me to believe that exams are in fact not so much an educational evaluation of the work being done as a policy instrument to give face validity to the programme. As such one does not need to worry about the quality of the exam since one can adjust the results before publication. Or in the case of my institute the exam can be repeated by order from above until the teachers get the message.

I do not like the cynical manipulation of exam data, so having good quality statistical information and quality control of all documents involved in the course would be the start to a reevaluation of the course and teaching methods. By accurate assessment at the beginning of a course it should be possible to predict the level students could get to after a given number of teaching hours, taking into account the realities of life. By keeping proper statistical records over a few years one would accumulate powerful information. This is what insurance companies do to calculate their premiums.


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