___________________________________________________________________________________________________________________ DECISION BOARD ANALYSIS - Template ___________________________________________________________________________________________________________________ Script Author: Katja Borchert, Ph.D. (katjab@millisecond.com) for Millisecond Software, LLC Date: 11-05-2014 last updated: 02-21-2022 by K. Borchert (katjab@millisecond.com) for Millisecond Software, LLC Script Copyright © 02-21-2022 Millisecond Softwaree ___________________________________________________________________________________________________________________ BACKGROUND INFO ___________________________________________________________________________________________________________________ This script implements a simple Decision Board Task modelled after the one described in: Mustafa, N., Ahsan, K. & Kingston, P. (2012). Intelligent Survey Software using Decision Board Analysis Technique for Recruitment Process in UK. WSEAS TRANSACTIONS on INFORMATION SCIENCE and APPLICATIONS, 9, 220-229. NOTE: The purpose of this script is to provide sample code to build your own decision board. By default, this script runs with a limited number of tabs and applicants (2). ___________________________________________________________________________________________________________________ TASK DESCRIPTION ___________________________________________________________________________________________________________________ Participants are asked to make fictional hiring decisions of 2 (script default) applicants. For each applicant, participants view a decision board: a board of tabs (e.g. 'resume') that -when clicked upon- open up pop-up windows with additional information. When participants have gathered enough information about one applicant, they can click on a tab 'decision' to (a) decide whether to hire this applicant (yes/no) (b) state the reasons for the hiring decision and (c) give a confidence rating for their hiring decision. The order of applicants is randomly determined ___________________________________________________________________________________________________________________ DATA FILE INFORMATION ___________________________________________________________________________________________________________________ The default data stored in the data files are: (1) Raw data file: 'decisionboardanalysis_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 session: 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. response: the participant's response (for mouse input: mouse response; for keyboard response: scancode) latency: the response latency in ms block.dba.sumlatency: time participant spent on current decisionboard (in ms) firsttab: first tab checked out by participant for current applicant count_firstname: counts number of times participant clicked on first name tab time_firstname: sums up the time (in ms) participant spent on first name info (same for all the remaining info trials) radiobuttons.hiredecision.response: stores the hiring decision for the last viewed applicant textbox.reasons.response: stores the reasons for the hiring decision for the last viewed applicant radiobuttons.confidence.response: stores the confidence rating for the hiring decision for the last viewed applicant viewingorder: the order in which all the information tabs are viewed for the current applicant (2) Summary data file: 'decisionboardanalysis_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) quit: 0 = participant did not quit; 1 = participant did quit //APPLICANT1: applicant1: the itemnumber of first applicant (e.g. here:1 = Hans; 2 = Gretel -> item.firstnames) time_decisionboard1: the time (in ms) spent on the Decision board for the first applicant firsttab1: first tab checked out by participant1 Firsttab2: first tab checked out by participant2 count_firstname1: counts the number of times participan clicked on the first name info tab for applicant 1 count_lastname1: counts the number of times participan clicked on the last name info tab for applicant 1 count_dateofbirth1: counts the number of times participan clicked on the date of birth info tab for applicant 1 count_gender1: counts the number of times participan clicked on the Gender info tab for applicant 1 count_appliedposition1: counts the number of times participan clicked on the applied position info tab for applicant 1 count_currentemployment1: counts the number of times participan clicked on the current emloyment info tab for applicant 1 count_coverletter1: counts the number of times participan clicked on the Coverletter info tab for applicant 1 count_resume1: counts the number of times participan clicked on the Resume info tab for applicant 1 time_firstname1: time (in ms) the participan spent on the first name info for applicant 1 time_gender1: time (in ms) the participan spent on the last name info for applicant 1 time_dateofbirth1: time (in ms) the participan spent on the date of birth info for applicant 1 time_gender1: time (in ms) the participan spent on the first name info for applicant 1 time_appliedposition1: time (in ms) the participan spent on the applied position info for applicant 1 time_currentemployment1: time (in ms) the participan spent on the current employment info for applicant 1 count_coverletter1: time (in ms) the participan spent on the Coverletter info for applicant 1 values.time_resume1: time (in ms) the participan spent on the Resume info for applicant 1 hiredecision1: stores the hiring decision for applicant1 reasons1: stores the reasons for the hiring decision for applicant1 confidence1: stores the confidence rating for the hiring decision for applicant1 wiewingorder1: the order in which all the information tabs are viewed for applicant1 and applicant2 (same for applicant2) ___________________________________________________________________________________________________________________ EXPERIMENTAL SET-UP ___________________________________________________________________________________________________________________ This script provided decision boards for 2 applicants. The order of the applicants is randomly determined (Editable Lists -> list.applicantindex) ___________________________________________________________________________________________________________________ STIMULI ___________________________________________________________________________________________________________________ This script runs with generic stimuli provided by Millisecond Software. Check section EDITABLE CODE -> Editable Stimuli for item set-up ___________________________________________________________________________________________________________________ INSTRUCTIONS ___________________________________________________________________________________________________________________ see section EDITABLE CODE -> Editable Instructions for more info