Processing
Summarization Settings
During Summarization, consistent trials from all conditions, subjects, groups are combined into one .inc file to perform data analysis or exporting to an independent statistical package. Refer the section on Summarizing All subjects for the procedure.
o Absolute Values: Up and down strokes show positive and negative signs for sizes, velocities, and accelerations. Absolute values remove these differences allowing to average across up and down strokes.
o Relative Data: Data can be normalized by dividing by the average across strokes within one trial to cope with overall trial variations in size or duration.
o Output missing strokes/trials as zeroes: For statistical packages missing data (strokes, e.g., too few strokes, or discarded trials) may have to be substituted by zero data so that the number of data lines per subject is constant.
o Substiture missing trials : In learning experiments where it is important to have a complete sequence of trials, it can be detrimental to the data when averaging across subjects per trial, if subjects now and then miss any of the trials in the sequence. To prevent this, missing trial can be substituted per subject by repeating the last trial (or in case the first trial is missing, substituting by the first non-missed trial).
o Discard Substituted trials after #: Trials after a specified trial number may or may not be used to substitute earlier missed trials.
o Discard trials after #: Trials after a specific trial number may be discarded at any rate.