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									*REGULATORY FIT INDUCTION*
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Script Author: Katja Borchert, Ph.D. (katjab@millisecond.com) for Millisecond Software, LLC
Date: 01-11-2013
last updated:  12-19-2019 by K. Borchert (katjab@millisecond.com) for Millisecond Software, LLC

Script Copyright © 12-19-2019 Millisecond Software

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BACKGROUND INFO 	
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This script implements the regulatory fit induction task as described by Dr. E. T. Higgins:

Higgins Lab: http://higginsweb.psych.columbia.edu/research/

From the webpage:

"Regulatory Fit
One's goal orientation can be either sustained or disrupted by his or her goal pursuit strategy. 
Regulatory fit theory suggests that a match between one's orientation to a goal and the means used to 
pursue that goal produces a state of regulatory fit that:

*Creates a feeling of rightness about the goal pursuit
*Increases task engagement
*Intensifies responses (i.e., positive responses become more positive and negative responses become more negative) 
such as the value of a chosen object, persuasion, or job satisfaction.

Regulatory fit is a broad theory about the general effects of fit. Although regulatory fit consistently arises 
from a match between any orientation and its preferred strategy, it has been most commonly investigated using 
regulatory focus and regulatory mode.

Regulatory fit can be manipulated incidentally (outside the context of interest) or integrally 
(within the context of interest) using the regulatory fit induction."

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TASK DESCRIPTION
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Participants are asked to list 1 goal and then up to 8 strategies (-> set number under VALUES->editable values)
to help reach it.

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DURATION 
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the default set-up of the script takes appr. 2 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: 'regulatoryfitinduction_raw*.iqdat' (a separate file for each participant)

build:							The specific Inquisit version used (the 'build') that was run
computer.platform:				the platform the script was run on (win/mac/ios/android)
date, time, 						date and time script was run 
subject, group, 					with the current subject/groupnumber
script.sessionid:					with the current session id

blockcode, blocknum:				the name and number of the current block (built-in Inquisit variable)
trialcode, trialnum: 				the name and number of the currently recorded trial (built-in Inquisit variable)
										Note: trialnum is a built-in Inquisit variable; it counts all trials run; even those
										that do not store data to the data file such as feedback trials. Thus, trialnum 
										may not reflect the number of main trials run per block. 
										
stimulusitem:						the presented stimuli in order of trial presentation
response:						the participant's response
latency: 							the response latency (in ms); measured from: onset of trial

(2) Summary data file: 'regulatoryfitinduction_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)

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EXPERIMENTAL SET-UP 
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4 between participant conditions (assignment by groupnumber, participants should be blind to the condition 
they are in):
Regulatory fit (prevention focus and vigilant strategy)
Regulatory non-fit (prevention focus and eager strategy)
Regulatory fit (promotion focus and eager strategy)
Regulatory non-fit (promotion focus and vigilant strategy)

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INSTRUCTIONS 
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provided by Millisecond Software - can be edited under section Editable Instructions
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EDITABLE CODE 
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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:

/repeatstrategy:				set how many strategies participants are supposed to list per goal (default:8)