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The response sequences of 12 rats given 35 reversals of a position discrimination were analyzed by likelihood ratio analyses in order to determine the minimum number of response probability values (states of responsiveness) necessary to adequately account for the individual response sequences. It was found that a two-state process could account for the data of all the reversals but the first one.

Likelihood ratio evaluation of M-state models applied to individual choice sequences of successive reversal learning