___________________________________________________________________________________________________________________ Palatable Eating Motives Scale (PEMS) (Spanish Version) ___________________________________________________________________________________________________________________ Script Author: Katja Borchert, Ph.D. (katjab@millisecond.com) for Millisecond Software, LLC Date: 09-25-2023 last updated: 11-29-2023 by K. Borchert (katjab@millisecond.com) for Millisecond Software, LLC Script Copyright © 11-29-2023 Millisecond Software Millisecond Software thanks Marta Becerra Losada for sharing the translations of the items! ___________________________________________________________________________________________________________________ BACKGROUND INFO ___________________________________________________________________________________________________________________ This script implements Millisecond's computerized version of the Palatable Eating Motives Scale (PEMS) by Burgress et al (2014). Note: this script runs Spanish translations of the items. The Spanish translations were generously shared by Marta Becerra Losada. They are not based on a publication. Reference: Burgess, E. E., Turan, B., Lokken, K. L., Morse, A., & Boggiano, M. M. (2014). Profiling motives behind hedonic eating. Preliminary validation of the Palatable Eating Motives Scale. Appetite, 72, 66–72. https://doi.org/10.1016/j.appet.2013.09.016 And, A., Sylvester, M. D., Turan, B., Uysal Irak, D., Ray, M. K., & Boggiano, M. M. (2018). The Turkish Palatable Eating Motives Scale (T-PEMS): utility in predicting binge-eating eating and obesity risk in university students. Eating and Weight Disorders, 23(4), 527–531. https://doi.org/10.1007/s40519-017-0383-z ___________________________________________________________________________________________________________________ OVERVIEW ___________________________________________________________________________________________________________________ self-report measure consisting of 20* 5-point Likert Scale questions on four subscales. *Note: originally the survey consisted of 20 items but original question 15 is not used for analyses as it does not significantly load onto any of the four subscales. A revised version of the survey replaces q15 with an alternative. Check radiobuttons.q15 below for a possible alternative. ___________________________________________________________________________________________________________________ DURATION ___________________________________________________________________________________________________________________ the default set-up of the script takes appr. 2 minute to complete __________________________________________________________________________________________________________________ DATA FILE INFORMATION ___________________________________________________________________________________________________________________ The default data stored in the data files are: (1) Raw data file: 'pems.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 (almost never) - 5 (almost always) 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: 'pems_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) PEMS_total: the sum of all subscore values (Range: 25-95) PEMS_social: calculated based on: q3,q5,q11,q14,q16 (Range: 5-25) PEMS_coping: calculated based on: q1,q4,q6,q17 (Range: 5-20)* if revised q15 is run: add radiobuttons.q15.response to subscale PEMS_coping PEMS_enhancement: calculated based on: q7,q9,q10,q13,q18 (Range: 5-25) PEMS_conformity: calculated based on: q2,q8,q12,q19,q20 (Range: 5-25) + all individual responses