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The Best of Both Worlds: Combining MOCAR and MCDISP
In the analysis of a corpus of open-ended questions, one of the most important goals is to identify words which distinguish between groups of respondents. The MOCAR procedure within SpadT does this using hypergeometric probabilities (Lebart et al., 1998). However, while the words obtained may only occur within a particular group, the researcher has no indication of their distribution within that group. A word may be chosen which is specific to one or two responses, rather than beingfatcat:7s7rgs45bzbadb7nrfdlb3mquy