TWO PITFALLS IN ASSESSING FAIRNESS OF SELECTION TESTS USING THE REGRESSION MODEL

This note examines two potential pitfalls in applying the Cleary or regression model of test fairness. The first lies in a misinterpretation of significance tests on intercept differences which can result when the researcher is unaware of the properties of analysis of covariance tests for intercept differences and relies on computer printouts of regression equations. The second lies in the dependence of some tests for intercept differences on predictor scaling. Once aware of them, the researcher can avoid both these pitfalls.     

Science, Wonder and the Lust of the Eyes

ABSTRACT Is a scientific attitude to the natural world an obstacle to an appreciation of its value? This paper argues that it is not. Following Aristotle and Marx, it maintains that, properly pursued, science has value because it enables us to contemplate that which is wonderful and beautiful. However, the paper concedes that, as actually practised, science can foster a vice described by Augustine as ‘the lust of the eyes’: knowledge is sought not to open us to the world, but merely to satisfy the itch of curiosity. If scientific knowledge is thus pursued, no limits to the means to it nor to its objects are recognised. Those who thus seek knowledge fail to understand its value.