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Balanced Inventory of Desirable Responding (BIDR)
Script Author: Katja Borchert, Ph.D. (firstname.lastname@example.org) for Millisecond Software, LLC
last updated: 01-06-2017 by K.Borchert for Millisecond Software LLC
Copyright © 01-06-2017 Millisecond Software
This script implements the Balanced Inventory of Desirable Responding as described in:
Paulhus, D. L. (1984). Two-component models of socially desirable responding.
Journal of Personality and Social Psychology, 46, 598-609.
The BIDR is intended to measure self-deceptive positivity and impression management.
40 7-point Likert questions
1-20: assess self-deceptive positivity
21-40: assess impression management
DATA FILE INFORMATION:
The default data stored in the data files are:
(1) Raw data file: 'bidr.iqdat'
date, time, group, subject: date and time script was run with the current group/subjectnumber
build: the Inquisit build
q*_response: scores given for response selected (in assigned values) - reversed items 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: 'bidr_summary.iqdat' (Inquisit Lab: one data file per participant)
script.startdate: date script was run
script.starttime: time script was started
script.subjectid: subject id number
script.groupid: group id number
script.elapsedtime: time it took to run script (in ms)
computer.platform: the platform the script was run on
/completed: 0 = script was not completed (prematurely aborted); 1 = script was completed (all conditions run)
/SDP: score for the self-deceptive positivity scale (0-20)
/IM: score for the impression management scale (0-20)
BIDR_total: total score for the BIDR (0-40)
all responses < 6: score as 0
all responses >= 6: score as 1
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:
/pageinstructions: the instructions