The linear increase in response time (RT) in item recognition as a function of memory set size may be attributed either to increased memory search, as in Sternberg's serial-comparison model, or to increased interference and competition for a limited processing capacity, as in a parallel-dependent model. An additional memory load was imposed on the normal item recognition task. If the normal task involved letters, the additional task involved digits, or vice versa. The added set was presented before and tested after the normal core set was presented and tested. Across the four trial blocks, the subjects did come to dissociate the two memory sets, but this could be due as much to directed rehearsal as to directed search when other results, including the subjects' postsession reports, are considered. Other findings, such as the higher error rate and shorter RT for positive than negative trials, seem to reflect differences in effective trace strength, and thus are consistent with the parallel-dependent model. Sternberg (1966Sternberg ( , 1969a found response time (RT) in an item recognition task to increase linearly with the size of the memory set, and at the same rate or slope for positive trials, where the test item belonged to the memory set, as for negative trials. He concluded that the memory set is scanned in a serial and exhaustive manner for the test item. Sternberg's results have been confirmed by some studies, whereas others have found negatively accelerated, more nearly logarithmic functions, or have found different slopes for positive and negative trials (see Nickerson's 1972 review). The set-size function nearly disappears when the sets greatly exceed the capacity of short-term memory: RT increased at the rate of 38 msec per item for Sternberg's (1966) small sets, but only at about 5 msec per item for Juola, Fischler, Wood, and Atkinson's (1971) sets of 10 to 26 items and Atkinson and Juola's (1973) sets of 16 to 54 items. Juola et a1. and Atkinson and Juola proposed that the subject directly accesses the test item in long-term memory, responding "yes" immediately if its subjective familiarity is quite high and "no" if quite low. If the familiarity is intermediate, the subject then searches through the memory set, either in serial or parallel fashion. The number of items searched ought to increase as set size increases, thus accounting for the small slope found.A uniprocess model, however, can account for the results, both for small and large sets. The model