“…Using this procedure, Chatfield, Van Dyke & Powell (20) found that increasing the number of times a: subject is "correct" when the relevant dimension is not sampled (b y providing misinformative fe edback) has little effect on errors to criterion, adding weight to the standard assumption that one error is sufficient to eliminate an H from consideration (at least temporarily) no matter how many times it has been correct in the past. However, Matthews & Patton (112) fo und that the probability of not changing an H after a disconfirmation (a "lose-stay") increased with the length of a criterion run of H-probes, reaching .67 after 8 such trial blocks.…”