This Monte Carlo investigation provides some possible solutions to problems related to choosing multiple-comparison methods that maximize true rejections and minimize false ones. It has been argued that the traditional Bonferroni approach to multiple comparisons, which satisfies the statistician's family-wise Type I error concerns, could be…

The technology of transforming sentences from prose instruction into test questions was examined by comparing two methods of selecting sentences (keyword vs. rare singleton), two types of question words (nouns vs. adjectives), and two foil construction methods (writer's choice vs. algorithmic). Four item writers created items using each…