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								*** Self-Esteem Matrix Task ***
								*** Attentional bias re-training***
								*** ABMT - attentional bias modification task***
								*** Visual search attentional training task ***
SCRIPT INFO

Script and stimuli generously shared by Dr. Stephane Dandeneau. Thank you!
last updated: 01-25-2016 by K.Borchert (katjab@millisecond.com) for Millisecond Software LLC


BACKGROUND INFO

											*Purpose*
This script runs the Self-Esteem Matrix Task by:

Dandeneau, S.D., & Baldwin, M. W. (2004). The Inhibition of socially rejecting information 
among people with high versus low self-esteem: The Role of Attentional bias and the effects 
of bias reduction training. Journal of Social and Clinical Psychology, Vol. 23(4), 584-602.

Dandeneau, S. D., Baldwin, M. W., Baccus, J. R., Sakellaropoulo, M., & Pruessner, J. C. (2007). 
Cutting stress off at the pass: Reducing stress and hypervigilance to social threat by manipulating attention. 
Journal of Personality and Social Psychology, 93(4), 651-666. 


											  *Task*
Participants view a 4x4 matrix of images and are instructed to find a target stim as fast as possible (visual search task).
In the experimental condition, the target is a smiling face (all other images are frowny faces).
In the control condition, the target is a 5-petal flower (all other images are 7-petal flowers).


DATA FILE INFORMATION: 
The default data stored in the data files are:

(1) Raw data file: 'SEMatrixTask_raw*.iqdat' (a separate file for each participant)

build:									Inquisit build
computer.platform:						the platform the script was run on
date, time, subject, group:				date and time script was run with the current subject/groupnumber 
/ tasktype:								1 = experimental condition (with faces); 2 = control condition (with flowers)
											Note: assignment is counterbalanced by groupnumber
blockcode, blocknum:					the name and number of the current block
trialcode, trialnum: 					the name and number of the currently recorded trial
											Note: not all trials that are run might record data 
response:								the participant's final (correct) response		
correct:								the correctness of the INITIAL response (1 = correct; 0 = incorrect)
											Note: participants can only move on if they select the target, however,
											the accuracy of the initial selection is stored.
latency: 								the response latency of the final response (in ms)

picture.target.currentitem:				the currently selected target picture
/ targetstim:							stores the itemnumber of the current target stimulus
/ targetposition:						positions 1-16 in a 4 x 4 matrix
											Row1: 1-4
											Row2: 5-8
											Row3: 9-12
											Row4: 13-16
trial.tasktrial.totalcount:				counts all trials tasktrial run by this script 
trial.tasktrial.totalcorrectcount:		counts all initially correct tasktrials run by this script 
trial.tasktrial.totalerrorcount:		counts all initially incorrect tasktrials run by this script
trial.tasktrial.totalpercentcorrect:	percent correct of initially correct tasktrials
trial.tasktrial.totalmeanlatency:		mean latency (in ms) of all tasktrials

(2) Summary data file: 'SEMatrixTask_summary*.iqdat' (a separate file for each participant)

script.startdate:						date script was run
script.starttime:						time script was started
script.subjectid:						subject id number
script.groupid:							group id number
script.elapsedtime:						time it took to run script (in ms)
computer.platform:						the platform the script was run on
/completed:								0 = script was not completed (prematurely aborted); 1 = script was completed (all conditions run)
/ tasktype:								1 = experimental condition (with faces); 2 = control condition (with flowers)
											Note: assignment is counterbalanced by groupnumber
trial.tasktrial.totalcount:				counts all trials tasktrial run by this script 
trial.tasktrial.totalcorrectcount:		counts all initially correct tasktrials run by this script 
trial.tasktrial.totalerrorcount:		counts all initially incorrect tasktrials run by this script
trial.tasktrial.totalpercentcorrect:	percent correct of initially correct tasktrials
trial.tasktrial.totalmeanlatency:		mean latency (in ms) of all tasktrials


EXPERIMENTAL SET-UP
2 conditions: experimental vs. control (assignment by groupnumber)

Experimental Condition: 4x4 matrix with 16 images
* face stimuli
-> 1 target: smiling face
-> 15 distractors: frowny faces

Control Condition: 4x4 matrix with 16 images
* drawings of flowers
-> 1 target: 5 petal flower
-> 15 distractors: 7 petal flowers

General:
* 4 blocks of 28 trials = 112 trials; after each block there is a rest trial
* 16 different actors => each actor is provided as a target stim (smiling) and as a distractor stim (frowny)
* position of target randomly determined with the constraint that the targets appear in each cell equally often (default: 7 times in each of the 16 cells)
* 16 different targets: randomly determined (7 repetitions of each target-> 112 trials)
* 15 distractors: all faces that are not used as the target are used as distractors; they are randomly assigned to the remaining 15 cell positions

STIMULI
see section Editable Stimuli

INSTRUCTIONS
see section Editable Instructions

EDITABLE CODE:
check below for (relatively) easily editable parameters, stimuli, instructions etc. 
Keep in mind that you can use this script as a template and therefore always "mess" with the entire code to further customize your experiment.

The parameters you can change are:

/ stimsize:				sets the size of stim pictures in proportion to the canvas height (default: 21.25%)
							Note: canvas is defined under section DEFAULTS below
/ leftmargin-
/ topmargin:			sets the screen positions of the left and top margins of the matrix relative to the canvas height and width (default: 10%)

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