To obtain reliable measures researchers prefer multiple-item questionnaires rather than single-item tests. Multiple-item questionnaires may be costly however and timeconsuming for participants to complete. They therefore frequently administer twoitem measures, the reliability of which is commonly assessed by computing a reliability coefficient. There is some disagreement, however, what the most appropriate indicator of scale reliability is when a measure is composed of two items.The most frequently reported reliability statistic for multiple-item scales is Cronbach's coefficient alpha and many researchers report this coefficient for their two-item measure 1,2,3,4 . Others however claim that coefficient alpha is inappropriate and meaningless for two-item scales. Instead, they recommend using the Pearson correlation coefficient as a measure of reliability 5,6,7,8 . Still others argue that the interitem correlation equals the split-half reliability estimate for the two-item measure and they advocate the use of the Spearman-Brown formula to estimate the reliability of the total scale 9 . As these recommendations are reported without elaborating, there is considerable confusion among end users as to the best reliability coefficient for twoitem measures. This note aims to clarify the issue.It is important to emphasize at the outset that it is not our intention in this paper to promote the use of two-item scales. Quite the contrary, having only two items to identify an underlying construct has been recognized as problematic for some time and we support the claim that using more items is better 10,11,12 . The use of multiple, heterogeneous indicators enhances construct validity in the sense that it