Many experimental paradigms employ one or more recall tests, along with other subsidiary measures (e.g., confidence measures). If analyzed properly, the data sets from such studies can yield important information regarding, among other things, the amount of information recalled, the accuracy ofmemory reports, the rate of recall, the consistency ofrecall across tests, and the subjects' subjective responses to the recalled items (e.g., confidence). One potential problem in analyzing the rich data sets from recall studies is the fact that coding and scoring these data by hand can be a very labor-intensive and error-prone process. A good software package can help researchers exploit the data for all the relevant analyses. Elie, introduced a DOS program, Scoring Options for Recall Tests (SORT), Version 1.0, to facilitate this process. SORT 1.0 is a BASIC program that facilitates the entry and analysis ofdata collected from recall tests. The software described in this article (SORT 2.0) is a program designed to accommodate current trends in experimental psychology, as well as to make the interface even easier for researchers to use, The major updates to Correspondence concerning this article should be addressed to D. G. Payne, Department of Psychology, Binghamton University, Binghamton, NY 13902 (e-mail: dpayne@binghamton.edu).SORT 2.0 include nominal group analyses, false memory analyses using the Deese (l959)/Roediger and McDermott (1995; DRM) paradigm and analyses for phenomenological measures. Below is a more detailed description of these updates.Recently, there has been an increase in research efforts addressing collaborative recall. One finding that has intrigued researchers is that groups of size X recalling together (true groups) do not seem to be a!>le to excee.d o~, in most cases, even to match the performance of X individuals statistically combined, deleting redundant responses (nominal groups; see, e.g.,