Experiment Code:
TONSEQ_FY_IPLM_002

Data File Name:
TONSEQ_FY_IPLM_002_DA

Description:
Data file containing all averaged data for each participant and their details ready for analysis

Number of Total Files Under Extension:
1

Number of Files per Participant:
1 for all participants

No. Rows:
97

No. Columns:
87

ROW DATA

Row #: 1
Description: Column Headers
Data Type: String/Text

Row #: 2-65
Description: One line per participant
Data Type: Varies - dependant on column

COLUMN DATA

Column #: 1
Name: Participant_No
Description: Participant number
Data Type: Numeric

Column #: 2
Name: RandSeed
Description: Random seed given to each participant to randomise their session
Data Type: Numeric

Column #: 3
Name: Group
Description: Between subject group - how the colours are distributed across trials
Data Type: Nominal
Labels: 1 = Current; 2 = Previous; 3 = Random; 4 = No-Colour

Column #: 4
Name: Counterbalancing
Description: Which colour (purple or yellow) corresponds to a right and left trial. These are counterbalanced across participants so the responses are not advantaged by one tone configuration.
Data Type: Nominal
Labels: 0 = Yellow is left, Purple is right; 1 = Yellow is right, Purpleis left

Column #: 5
Name: Gender
Description: Gender of participant
Data Type: Nominal
Labels: 1 = Female; 2 = Male

Column #: 6
Name: Handed
Description: Handedness of participant
Data Type: Nominal
Labels: 1 = Right handed; 2 = Left handed

Column #: 7 
Name: Age
Description: Age of participants in years
Data Type: Numerical 

Coloumn #: 8-47
Name: RTs
Label In File: RT_subsequence_Epochn (where subsequence is the four trained subsequences LLL, LRL, RRR, RLR; and n is the Epoch number)
Description: Average reaction times (RTs) for participants in msecs on inconsistent subsequences minus the consistent, trained subsequence RT. These RT difference scores show more learning with higher values. These were averaged into Epochs which contained 2 blocks (240 trials) worth of data. 
Data Type: Continuous

Column #: 48-87
Name: Errors
Label In File: ERR_subsequence_Epochn (where subsequence is the four trained subsequences LLL, LRL, RRR, RLR; and n is the Epoch number)
Description: Proportion of errors for participants on inconsistent subsequences minus the consistent, trained subsequence proportion of errors. These RT difference scores show more learning with higher values. These were averaged into Epochs which contained 2 blocks (240 trials) worth of data. 
Data Type: Continuous