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							 WHITE BEAR SUPPRESSION INVENTORY (WBSI)
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Script Author: Katja Borchert, Ph.D. (katjab@millisecond.com) for Millisecond Software, LLC
Date: 05-14-2013
last updated:  01-06-2020 by K. Borchert (katjab@millisecond.com) for Millisecond Software, LLC

Script Copyright © 01-06-2020 Millisecond Software

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BACKGROUND INFO 	
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This script implements the White Bear Suppression Inventory (WBSI); a survey to assess thought suppression.
Thought suppression is related to obsessive thinking and anxiety.

Reference:
Wegner, D. M., & Zanakos, S. (1994). Chronic thought suppression. Journal of
Personality, 62, 615–640.
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OVERVIEW
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15 questions with 5 response options (A-E; scored 1-5 respectively)
Totalscore: Min = 15; Max = 75

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DURATION 
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the default set-up of the script takes appr. 1.5 minutes to complete

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

(1) Raw data file: 'wbsi.iqdat' 

date, time:						date and time script was run with the current group/subjectnumber 
subject, group, session:	   	 with the current subject/groupnumber/session id
build:							the Inquisit build 

q*_response:					response given (in assigned values)
									Scale: 1 (strongly disagree) - 5 (strongly agree)
									(no reversed questions)
									
q*_latency:					how much time (in ms) the participant spent on the surveypage with this particular 
								question (the last time this particular surveypage was visited)
								
								
(2) Summary data file: 'wbsi_summary*.iqdat' (a separate file for each participant)

computer.platform:				the platform the script was run on (win/mac/ios/android)
script.startdate:					date script was run
script.starttime:					time script was started
script.subjectid:					assigned subject id number
script.groupid:					assigned group id number
script.sessionid:					assigned session id number
script.elapsedtime:				time it took to run script (in ms); measured from onset to offset of script
script.completed:				0 = script was not completed (prematurely aborted); 
									1 = script was completed (all conditions run)

expressions.WBSI_totalscore:	the Totalscore, Min = 15; Max = 75