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							Multi-Factor Implicit Association Test (IAT)
SCRIPT INFO

Main Inquisit programming: Sean Draine (seandr@millisecond.com)
last updated: 01-12-2016 by K.Borchert (katjab@millisecond.com) for Millisecond Software LLC

Copyright © 01-12-2016 Millisecond Software


BACKGROUND INFO: Specific BIAT

The University of Washington has applied for patent on the BIAT method. The patent 
is managed by Project Implicit. Both the University of Washington and Project Implicit 
authorize free use of the BIAT method and published stimuli for scholarly research, 
provided that reports of the research clearly identify any modifications made to the 
BIAT and appropriately cite the present article. Please contact Project Implicit 
(E-mail: feedback@projectimplicit.net) to request a license for commercial or other 
nonscholarly use of the BIAT.

The brief IAT (BIAT) procedure is explained in detail in:

Sriram, N. & Anthony G. Greenwald, A.G (2009).The Brief Implicit Association Test.
Experimental Psychology, 56, 283–294. (see page. 285, Table 1 for an overview of the procedure)

Millisecond Software thanks Dr. Sriram and Dr. Greenwald for providing generous feedback on this script!


BACKGROUND INFO: General IAT/BIAT

The Implicit Association Task (IAT: Greenwald, McGhee, & Schwartz, 1998) and the brief IAT (BIAT: Sriram & Greenwald, 2009)
are widely-used cognitive-behavioral paradigms that measure the strength of automatic (implicit) associations 
between concepts in people’s minds relying on latency measures in simple sorting tasks.
 
The strength of an association between concepts is measured by the standardized mean difference score of 
the 'hypothesis-inconsistent' pairings and 'hypothesis-consistent' pairings (d-score) (Greenwald, Nosek, & Banaji, 2003). 
In general, the higher the d-score the stronger is the association between the 'hypothesis-consistent' pairings 
(decided by researchers). Negative d-scores suggest a stronger association between the 'hypothesis-inconsistent' pairings.

Inquisit calculates d scores using the improved scoring algorithm as described in Greenwald et al (2003). 
Error trials are handled by requiring respondents to correct their responses according to recommendation (p.214).

D-scores obtained with this script: 
Positive scores indicate a preference for the lefthand category
Negative scores indicate a preference for the righthand category

Example:
expressions.ABd (A is on the left; B is on the right) => A (=Christianity) vs. B (=Islam) 
positive D-score indicates a preference for Christianity over Islam; negative D-score indicates a preference for Islam over Christianity.


References:
Greenwald, A. G., McGhee, D. E., & Schwartz, J. K. L. (1998). Measuring individual differences in implicit cognition: 
The Implicit Association Test. Journal of Personality and Social Psychology, 74, 1464-1480.

Greenwald, A. G., Nosek, B. A., & Banaji, M. R. (2003). Understanding and Using the Implicit Association Test: 
I. An Improved Scoring Algorithm. Journal of Personality and Social Psychology, 85, 197-216.

Sriram, N. & Anthony G. Greenwald, A.G (2009).The Brief Implicit Association Test.
Experimental Psychology, 56, 283–294. (see page. 285, Table 1 for an overview of the procedure)



											  *Task*
Participants are asked to categorize attributes (e.g. "joyful"; "tragic") and religious target items of 4 different 
religious affiliations Christianity, Islam, Judaism, Buddhism (e.g "Church", "Koran", "Synagogue", "Karma") 
into predetermined categories via keystroke presses. 
For the test, participants are asked to sort categories into  paired/combined categories (e.g. 
"Christianity OR Good" on the left vs. "Anything else" on the right). The basic task is to press a left key (E) if an item 
(e.g. "joyful" or "Church") belongs to the category presented on the left (e.g. "Christianity OR Good") and to press the right key (I) 
if the word (e.g. "tragic" or "Koran") does not belong to the category on the left. Pairings are reversed for a second test 
(e.g. "Islam OR Good" on the left vs. "Anything else" on the right). Each religious affiliation is tested against each other.
The order of the resulting 12 tests is determined randomly.


DATA FILE INFORMATION: 
The default data stored in the data files are:

(1) Raw data file: 'ReligionIAT_raw*.iqdat' (a separate file for each participant)

build:								Inquisit build
computer.platform:					the platform the script was run on
date, time, subject, group:			date and time script was run with the current subject/groupnumber 
										Note: group1/group2 counterbalance the order in which the pairings are run

blockcode:							the name of the current trial
blocknum:							the number of the current trial
trialcode:							the name of the current trial
trialnum:							the number of the current trial
response:							the final trial response (scancodes of the keys pressed)
										Note: script saves the final and -by design- correct response
correct:							the accuracy of the initial response
										0 = initial response was incorrect and needed to be corrected
										1 = initial response is correct
latency:							the latency of the final (correct) response (in ms)
stimulusnumber:						the number of the current stimulus
stimulusitem:						the currently presented item
/ ABd-
/ CDd:								d-scores for each pairing
/ percentcorrect:       			the overall percent correct score of initial responses of test trials of D-score qualifying latencies

(2) Summary data file: 'ReligionIAT_summary*.iqdat' (a separate file for each 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)
/ ABd-
/ CDd:								d-scores for each pairing
/ percentcorrect:       			the overall percent correct score of initial responses of test trials of D-score qualifying latencies


EXPERIMENTAL SET-UP

4 religious affiliations (Christianity, Islam, Judaism, Buddhism) tested against each other => 12 test blocks
e.g. 
Block AB: "Christianity OR Good" vs. "anything else" (aka Islam OR bad words)
Block BA: "Islam OR Good" vs. "anything else" (aka Christianity OR bad words)

Sequence (odd groupnumbers):
1. Attribute Training: 20 trials; 10 positive attributes, 10 negative attributes; order is randomly determined
2-13: random order of the 12 pairing blocks

In all Test Blocks:
* attributes and targets alternate
* attributes as well as targets are randomly selected without replacement
* test blocks run 20 trials by default
* the first 4 trials = prefatory trials that are not included into subsequent analyses

STIMULI
Stimuli can be edited under section Editable Stimuli

INSTRUCTIONS
Instructions can be edited under section Editable Instructions

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.

The parameters you can change are:

	The "skipsummary" variable in the values tag can be set to true to skip the final
     summary page or false to display the page.

	The "extended" variable in the values tag can be set to true to run a total of four 
     test blocks, or false to run only 2 test blocks. 

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