Download data: Matrix structure
The matrix structure packs the relevant measurements from an experiment in a series of one, two or three dimensional arrays.
Compatible file types
Matrix structure data is currently available in the .mat
file type. Read more about mat and how to import it here.
Dimensions
One dimension
In this case the variables are vectors. Their content and length depends
on the type of task, see below. If data for multiple participants or tasks
was selected, these are in separate vectors, with the stimulus and/or task name
in the name of the vector, for instance confidence_JohnSmith
.
An array with stimulus names is provided, stimuli
.
Two dimensions
The first dimensions corresponds to the participations, the second to the
stimuli.
An additional array with participation IDs is provided, participation_ids
.
Three dimensions
The first dimensions corresponds to the tasks, the second to the participations,
the third to the stimuli.
An additional array with task names is provided, e.g. dragrate_tasks
.
1D | 2D | 3D | |
---|---|---|---|
Drag-rate | ✓ | ✓ | ✓ |
Multiple Arrangement | ✓ | - | - |
Tasks
These are the matrix variables contained by task type:
Drag-rate
property
Where the stimuli were placed on the y-axis. Values between 0 (bottom) and 1 (top).confidence
Where the stimuli were placed on the x-axis. Values between 0 (left) and 1 (right).
Multiple Arrangement
rdmutv
This is the upper triangular vector of pairwise dissimilarities using Euclidian distance.
Example
The three dimensional matrix structure displayed in an Octave terminal. This experiment has 6 participants, 35 dragrate tasks, and 345 stimuli.
>> load "Meadows_MyStudy_3D.mat" >> whos Variables in the current scope: Attr Name Size Bytes Class ==== ==== ==== ===== ===== confidence 35x6x345 579600 double dragrate_tasks 35x41 1435 char participation_ids 6x24 144 char property 35x6x345 579600 double stimuli 345x27 9315 char Total is 155794 elements using 1170094 bytes >> dragrate_tasks dragrate_tasks = task1 task2 ...