The humble multiple-choice test is very widely used within education at all levels, but its susceptibility to guesswork makes it a suboptimal assessment tool. The reliability of a multiple-choice test is partly governed by the number of items it contains; however, longer tests are more time consuming to take, and for some subject areas, it can be…

This study investigated the effects of two different true-false questions on memory awareness and long-term retention of knowledge. Participants took four subsequent knowledge tests on curriculum learning material that they studied at different retention intervals prior to the start of this study (i.e. prior to the first test). At the first and…

Multiple-choice (MC) examinations are becoming increasingly popular in higher education because they can be used effectively to assess breadth of knowledge in large cohorts of students. This present research investigated psychology students' performance on, and experiences of, MC examinations with and without correction for guessing. In Study 1,…

Item-discrimination indices are numbers calculated from test data that are used in assessing the effectiveness of individual test questions. This article asserts that the indices are so unreliable as to suggest that countless good questions may have been discarded over the years. It considers how the indices, and hence overall test reliability,…

Discusses statistical procedures for increasing test unreliability due to guessing in multiple choice and true/false tests. Proposes two new measures of test unreliability: one concerned with resolution of defined levels of knowledge and the other with the probability of examinees being incorrectly ranked. Both models are based on the binomial…

Describes four measures of test unreliability that quantify effects of question selection and guessing, both separately and together--three chosen for immediacy and one for greater mathematical elegance. Quantifies their dependence on test length and number of answer options per question. Concludes that many multiple choice tests are unreliable…

The standard error of measurement usefully provides confidence limits for scores in a given test, but is it possible to quantify the reliability of a test with just a single number that allows comparison of tests of different format? Reliability coefficients do not do this, being dependent on the spread of examinee attainment. Better in this…