User Manual: Inquisit Regulatory Mode Questionnaire (RMQ)

													
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								*REGULATORY MODE QUESTIONNAIRE*
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Script Author: Katja Borchert, Ph.D. (katjab@millisecond.com) for Millisecond Software, LLC
Date: 01-11-2013
last updated:  02-28-2022 by K. Borchert (katjab@millisecond.com) for Millisecond Software, LLC

Script Copyright © 02-28-2022 Millisecond Software


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BACKGROUND INFO 	
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This script implements the <> as described in:
This Inquisit script implements the Regulatory Mode Questionnaire (RMQ) developed by

Kruglanski, A. W., Thompson, E. P., Higgins, E. T., Atash, M. N., Pierro, A., Shah, J. Y., Spiegel, S. (2000). 
To "do the right thing" or to "just do it": Locomotion and assessment as distinct self-regulatory imperatives. 
Journal of Personality & Social Psychology, 79, 793-815.

(more info on Higgins Lab: http://www.columbia.edu/cu/psychology/higgins/measures.html#)

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OVERVIEW
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The RMQ assesses 2 functional dimensions of self-regulation referred to as
Assessment and Locomotion by subjective responses to 24 questions (12 per subscale). The questionaire also includes
A Lie subscale (+6 questions).
 
Assessment: aspect of self-regulation that governs a person's eagerness to spend resources on evaluation 
of situations (pros and cons) to work out/find the best possible solution. (-> "do the right thing")

Locomotion: aspect of self-regulation that governs a person's eagerness to spend resources to 
achieve movement/actions to attain goals without delays (-> "just do it and move on", the 'doers' and 'go getters')
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DURATION 
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the default set-up of the script takes appr. 3 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: 'rmq.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 1-6, R-questions are automatically reversed scored)
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: 'regulatorymodequestionnaire_summary*.iqdat' (a separate file for each participant)

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

LOCOMOTION_Score:				averaged score (range: 1-6) on the locomotion subscale: q1 q3, q4, q5, q8, q13R, q16, q21, q24R q25, q28, q29
								=> the higher the score, the higher motivation to spend resources to achieve 
								movement/actions to attain goals without delays 

ASSESSMENT_Score:				averaged score (range: 1-6) on the assessment subscale: q2R, q6, q7, q9, q10R, q11, q15, q19, q20, q22, q27R, q30
								=> the higher the score, the higher motivation to spend resources on 
								evaluation of situations (pros and cons) to work out/find the best possible solution.

LIE_Score:						averaged score (range: 1-6) on the lie subscale: q12, q14, q17, q18, q23, q26
								=> the higher the score, the higher movitation to select favorable response options
	
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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.