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							*Significant Other Sequential Priming Paradigm*
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Script Author: Vivian Zayas, Ph.D. (vz29@cornell.edu)
last updated:  03-11-2020 by K. Borchert (katjab@millisecond.com) for Millisecond Software, LLC

Script Copyright © 03-11-2020 Millisecond Software

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BACKGROUND INFO 	
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This script implements a sequential priming paradigm that assesses positive and negative evaluations 
elicited by significant others.

In general, priming procedures are simple response-timed binary categorization tasks of items from two target
categories  (e.g. positive vs. negative adjectives). Priming Procedures are based on the assumption that 
people respond faster if the target category was already 'mentally activated' by briefly presenting items 
(called 'primes') that are closely connected in one's mind. Thus, a person should be faster to quickly categorize
the target word 'good' as 'positive' after the brief presentation of the prime word 'ice-cream' than
after the brief presentation of the prime word 'famine'.
If the primes are presented with a temporal duration that can be consciously processed, the primes are
called 'supraliminal'. If the duration of the primes is so short that they are outside one's conscious 
awareness the primes are called 'subliminal'.

In this script, target categories GOOD vs. BAD are primed by supraliminal information collected about 
one's significant other (such as names) and resulting response times are analyzed.

The script is based on:

Zayas, V. & Shoda, Y. (2015). Love you? Hate you? Maybe it's both: Significant persons trigger bi-valent priming. 
Social Psychological and Personality Science.

Fazio, R., Sanbonmatsu, D., Powell, M., & Kardes, F. (1986). On the automatic activation of attitudes. 
Journal of Personality and Social Psychology, 50, 229–238. 

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TASK DESCRIPTION
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After seeing a prime word (either a neutral word such as 'chair' or the name of the current significant other)
participants are asked to categorize adjectives as positive or negative using the 'E' and 'I' key on their
keyboards.

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DURATION 
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the default set-up of the script takes appr. 15 minutes to complete
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DATA FILE INFORMATION 
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The default data stored in the data files are:

(1) Raw data file: 'significantotherspp_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

									odd groupnumbers run Version 1 [Unpleasant (on the left) vs. Pleasant (on the right) (Neutral Word: Table)]
									even groupnumbers run Version 2 [Pleasant (on the left) vs. Unpleasant (on the right) (Neutral Word: Chair)]

script.sessionid:					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 (scancode of response key)
										18 = E 
										23 = I
									
values.responseCat:					the interpreted key re sponse:"good" vs. "bad"
									
correct:							accuracy of response: 1 = correct response; 0 = otherwise
latency: 							the response latency (in ms); measured from: onset of target

stimulusitem.1:						for the practice/test trials: contains the prime word
stimulusitem.2:						for the practice/test trials: empty
stimulusitem.3:						for the practice/test trials: contains the target word


* separate data files: to change to one data file for all participants (on Inquisit Lab only), go to section
"DATA" and follow further instructions

(2) Summary data file: 'significantotherspp_summary*.iqdat' (a separate file for each participant)*

Computer Platform:					the platform the script was run on (win/mac/ios/android)
Date:								date script was run
Time:								time script was started
Subject ID:							assigned subject id number
Group ID:							assigned group id number
Session ID:							assigned session id number
Script Duration:					time it took to run script (in ms); measured from onset to offset of script
Script Completion:					0 = script was not completed (prematurely aborted); 
									1 = script was completed (all conditions run)
																		
									
expressions.propCorrect_PartnerPleasant:		proportion correct responses for trials in which partner name preceded a positive target								
expressions.meanRT_PartnerPleasant:				mean correct response time (in ms) in trials in which partner name preceded a positive target

expressions.propCorrect_PartnerUnpleasant:		proportion correct responses for trials in which partner name preceded a negative target								
expressions.meanRT_PartnerUnpleasant:			mean correct response time (in ms) in trials in which partner name preceded a negative target
									
expressions.propCorrect_NeutralPleasant:		proportion correct responses for trials in which Neutral object preceded a positive target								
expressions.meanRT_NeutralPleasant:				mean correct response time (in ms) in trials in which Neutral object preceded a positive target

expressions.propCorrect_NeutralUnpleasant:		proportion correct responses for trials in which Neutral object preceded a negative target								
expressions.meanRT_NeutralUnpleasant:			mean correct response time (in ms) in trials in which Neutral object preceded a negative target

expressions.DiffRT_Partner:				the difference 'corrRT(unpleasant targets) - corrRT(pleasant targets)' for partner condition
										positive difference: it took longer to classify negative targets after partner's name than positive ones
										=> partner's name primed positive items
										negative difference: it took longer to classify positive targets after partner's name than negative ones
										=> partner's name primed negative items
										
expressions.DiffRT_Neutral:				the difference 'corrRT(unpleasant targets) - corrRT(pleasant targets)' for neutral condition
										=> control condition: the difference is expected to be around 0
										the neutral prime words should neither prime positive nor negative targets
																												
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EXPERIMENTAL SET-UP 
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Version EXPT 1: UP: Unpleasant (on the left) vs. Pleasant (on the right) (Neutral Word: Table)
Version EXPT 2: PU: Pleasant (on the left) vs. Unpleasant (on the right) (Neutral Word: Chair)
Note: Participants are assigned to each version by groupnumber selection

*** Primes are partner name and neutral word. Target stimuli are pleasant/unpleasant words.  
Discrimination is UNPLEASANT - PLEASANT or PLEASANT - UNPLEASANT.
BLOCK 3 = practice (16 trials) Note: practice is repeated if mean response time > 1500ms and/or accuracy < 0.8
BLOCK 4,5 = DATA (80 trials each, in total 160 trials- 40 for each critical block, 
i.e., partner-pleasant, partner-unpleasant, neutral-pleasant, neutral-unpleasant) 

Trial: 
PRIME (200MS), PAUSE (100MS), TARGET WORD (until response)
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STIMULI
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provided by authors (Name of Significant Other entered by participant)

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INSTRUCTIONS 
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provided by authors

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EDITABLE CODE 
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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.