ident_data.csv = response data from the identification task
Columns:
num = row number 
Subj = subject id
Context = sentence context. can be fin (sentence-final) or mid(sentence-medial)
Step = step value (0-8) corresponds to the nine steps found on the stimuli continua found in this experiment
Repetition = each participant heard each stimulus three times. values can be 0, 1, or 2
Response = actual participant response data. can be 1 (high tone) or 2 (falling tone). note that the attached R script later re-codes these as 0 and 1, respectively

discrim_data.csv = response data from the discrimination task
num = row number
Subj = subject id
Context = sentence context. can be fin (sentence-final) or mid(sentence-medial)
Permutation = step values of the three auditory stimuli, in the order presented in the trial. for example, 011 means a sequence of step 0, step 1, and step 1. The first stimulus could be A or B, depending on the Pattern for the trial.
Repetition = each participant heard each stimulus two times. values can be 0 or 1
Response = actual participant response data. can be 1 (X matched the first stimulus in the trial) or 2 (X matched the second stimulus in the trial)
Pattern = four possible stimuli patterns: ABA, ABB, BAA, BAB. use this column to help calculate accuracy
Correct = the intended answer (X is either A or B. use information from the third position for each row in the Pattern column)
ResponseAB = participant responses converted from 1 and 2 to A and B
Accuracy = ResponseAB matches Correct (value = 1), ResponseAB does not match Correct (value = 0)
A = step number for stimulus A in this trial (step 0 - step 7). stimulus A always represents the lower step in the step pair.
B =  step number for stimulus B in this trial (step 1 - step 8). stimulus B always represents the higher step in the step pair.
StepPair = step pair being tested. 0v1 means the step pair contains step 0 and step 1, and so on.

categorical_perception.R = R script used to analyze attached identification and discrimination data