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									IMPLICIT ATTITUDE TEST - NEED FOR POWER with images

SCRIPT INFO

Main Inquisit programming: Sean Draine (seandr@millisecond.com)
last updated:  02-25-2016 by K.Borchert (katjab@millisecond.com) for Millisecond Software LLC

Script Copyright ©  02-25-2016 Millisecond Software


BACKGROUND INFO

											*Purpose*
This script implements a Need for Power IAT, similarly to the one described in:

Slabbinck, H., De Houwer, J., & Van Kenhove, P. (2011). A pictorial attitude IAT as a measure of implicit motives. 
European Journal of Personality, 25(1), 76-86.

This script uses the general Inquisit IAT template.


Millisecond Software thanks Dr. Slabbinck for sharing his materials!



									 *General IAT Background*
The Implicit Association Task (Greenwald, McGhee, & Schwartz, 1998) is a widely-used cognitive-behavioral paradigm
that measures the strength of automatic (implicit) associations between concepts in people’s minds relying 
on latency measures in a simple sorting task.
 
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 d-scores: support a stronger association between 'Power-Attractive' and 'Non Power-Attractive' than for the opposite pairings
Negative d-scores: support a stronger association between 'Non-Power-Attractive' and 'Power-Not Attractive' than for the opposite pairings

General IAT 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.


											*Task*
Participants are presented either adjectives or pictures (one by one) and are asked 
to do a simple categorization task to categorize the items into  categories like 
"attractive OR Power" vs. "not attractive OR Non-Power" by pressing 2 different
keys on the keyboard.



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

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

date, time, subject, group:		date and time script was run with the current subject/groupnumber 

Note: odd/even groupnumbers 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 (measured from onset of word/pic until correct response is given)
stimulusnumber:						the number of the current stimulus
stimulusitem:						the currently presented item
expressions.da:						d-score of the first blocks (test 1)
expressions.db:						d-score of the second blocks (test 2)
expressions.d:						overall d-score
/ percentcorrect:      				calculates the overall percent correct score of initial responses of test trials of D-score qualifying latencies

(2) Summary data file: 'PowerIAT_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 (Note: odd/even groupnumbers counterbalance the order in which the pairings are run)
script.elapsedtime:					time it took to run script (in ms)
/completed:							0 = script was not completed; 1 = script was completed (all conditions run)
expressions.da:						d-score of the first blocks (test 1)
expressions.db:						d-score of the second blocks (test 2)
expressions.d:						overall d-score
/ percentcorrect:      				calculates the overall percent correct score of initial responses of test trials of D-score qualifying latencies


EXPERIMENTAL SET-UP

* Hypothesis consistent pairings and hypothesis-inconsistent pairings are tested sequentially.
The order is counterbalanced by group number (odd groupnumbers run consistent pairings first; even groupnumbers run inconsistent pairings first)
* Each set-up consists of:
	- target categorization training (20 trials; targets are selected in random order; 1/2 targets are Power pics)
	- attribute categorization training (20 trials; attributes are selected in random order; 1/2 attributes are attractive)
		Note: the attribute training is only run once (it is not repeated for the reversed pairings)
	- test 1: 20 trials (alternating targets and attributes; 1/2 the targets are Power pics; 1/2 the attributes are attractive)
	- test 2: 40 trials (alternating target and attributes; 1/2 the targets are Power pics; 1/2 the attributes are attractive)

D-Scores 
* Calculation: 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).

* Interpretation:
D-scores obtained with this script:
Positive d-scores: support a stronger association between 'Power-Attractive' and 'Non Power-Attractive' than for the opposite pairings
Negative d-scores: support a stronger association between 'Non-Power-Attracive' and 'Power-Not Attractive' than for the opposite pairings

STIMULI
Attributes are taken from Slabbinck et al. (2011).
Power pictures generously shared by Dr. Slabbinck 

INSTRUCTIONS
general Inquisit IAT 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:

/showsummaryfeedback:				set parameter showsummaryfeedback = true to display summary feedback to participants at the end (default)
									set parameter showsummaryfeedback = false if no summary feedback should be presented to participants
/picsize:							the size of the pics in % of canvas height (default: 20%)

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