___________________________________________________________________________________________________________________ *REGULATORY MODE QUESTIONNAIRE* ___________________________________________________________________________________________________________________ Script Author: Katja Borchert, Ph.D. (katjab@millisecond.com) for Millisecond Software, LLC Date: 01-11-2013 last updated: 10-06-2023 by K. Borchert (katjab@millisecond.com) for Millisecond Software, LLC Script Copyright © 10-06-2023 Millisecond Software ___________________________________________________________________________________________________________________ BACKGROUND INFO ___________________________________________________________________________________________________________________ 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#) ___________________________________________________________________________________________________________________ OVERVIEW ___________________________________________________________________________________________________________________ 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') ___________________________________________________________________________________________________________________ DURATION ___________________________________________________________________________________________________________________ the default set-up of the script takes appr. 3 minutes to complete ___________________________________________________________________________________________________________________ DATA OUTPUT DICTIONARY ___________________________________________________________________________________________________________________ The fields 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) locomotionScore: 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 assessmentScore: 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. lieScore: 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 ___________________________________________________________________________________________________________________ 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.