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								'Me-not Me' Reaction Time Task
SCRIPT INFO

Script Author: Katja Borchert, Ph.D. (katjab@millisecond.com) for Millisecond Software, LLC
Date: 09-20-2017
last updated: 09-22-2017 by K.Borchert (katjab@millisecond.com) for Millisecond Software LLC

Script Copyright © 09-22-2017 Millisecond Software


BACKGROUND INFO 

											*Purpose*
This script implements a computerized version of the the 'Me-not me' reaction time task similarly to the one described in:

Aron, A, Tudor, M, Aron, E, & Nelson, G. (1991). Close relationships as including other in the self. 
Journal of Personality and Social Psychology, 60(Feb 91), 241-253.

Slotter, E.B. ; Gardner, W.L. & Simpson, J. (2009). Where Do You End and I Begin? Evidence for Anticipatory, 
Motivated Self–Other Integration Between Relationship Partners. 
Journal of Personality and Social Psychology, Vol.96(6), pp.1137-1151


											  *Task*
Participants are presented a series of trait descriptors, one at a time in the middle of the screen,
and are asked to sort the traits as fast as possible via a keypress into category 'me' (-> applies to me a lot)
or 'not me' (-> doesn't really apply to me).



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

(1) Raw data file: 'menotme_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 
blockcode, blocknum:			the name and number of the current block
trialcode, trialnum: 			the name and number of the currently recorded trial
									(Note: not all trials that are run might record data; by default data is collected unless /recorddata = false is set for a particular trial/block) 
/countCategorizationBlocks:		running total of all test categorization blocks
/countCategorizationTrials:		running total of the trials within each categorization block
stimulusitem:					the presented stimuli in order of trial presentation
/valence:						valence of the presented trait: "positive" vs. "negative" vs. "neutral"
response:						scancode of the selected response key (e.g. 18 = E; 23 = I)
/response:						response category selected: "me" vs. "not me"
latency: 						the response latency (in ms); measured from:


(2) Summary data file: 'menotme_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)
/meanRT_me:						mean latency (in ms) of 'me' categorization across all trait words
/meanRT_notme:					mean latency (in ms) of 'notme' categorization across all trait words
/meanRT_me_positive:			mean latency (in ms) of 'me' categorization across all positive trait words
/meanRT_me_negative:			mean latency (in ms) of 'me' categorization across all negative trait words
/meanRT_me_neutral:				mean latency (in ms) of 'me' categorization across all neutral trait words
/meanRT_notme_positive:			mean latency (in ms) of 'not me' categorization across all positive trait words
/meanRT_notme_negative:			mean latency (in ms) of 'not me' categorization across all negative trait words
/meanRT_notme_neutral:			mean latency (in ms) of 'not me' categorization across all neutral trait words


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


EXPERIMENTAL SET-UP

(1) Practice Block: 5 practice traits are presented to practice the procedure
The practice block turns into the test block without further instructions

(2) Test Block:
* by default the test blocks runs once (see editable parameters.nrCategorizationBlocks)
* by default, each test block runs 45 items (15 positively valenced descriptors, 15 neutral descriptors, 15 negatively valenced descriptors)
=> number of traits presented adapts automatically to the number of traits listed under item.traits (see section Editable Stimuli)
* order of traits is selected randomly

Trial Sequence:
trait presented until categorization response -> ITI (default:1000ms)


STIMULI

trait words for this script were selected from:
Anderson, N. H. (1968). Likableness ratings of 555 personality-trait
words. Journal of Personality and Social Psychology. 9, 272-279.

Positive Traits: likeability score > 450
Neutral Traits: 350 > likeability score > 250
Negative Traits: 150 > likeability score
(the likeability scores of the default practice traits in this script fall outside these ranges)

The traits can easily be adapted under section Editable Stimuli.


INSTRUCTIONS
provided by Millisecond Software - 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:

/leftKey:					the scancode of the left response key
/leftKey_label:				the label of the left response key (here: E)
/rightKey:					the scancode of the right response key
/rightKey_label:			the label of the right response key (here: I)
								Note: scancodes under 'Tools -> keyboard scancodes'

/leftcategory:				1 = category 'me'; 2 = category 'not me' (left category is assigned 'me' category)
/leftcategory_label:		label of left category ('me')
/rightcategory:				1 = category 'me'; 2 = category 'not me' (right category is assigned 'not me' category)
/rightcategory_label:		label of right category ('not me')

/traitSize:					size of trait descriptor proportional to canvas height (default: 8%)
/iti:						intertrial duration (in ms) (default: 1000ms)
/readyDuration:				duration (in ms) of the 'get ready' trial (default: 5000ms)
/nrCategorizationBlocks:	number of times the categorization blocks runs (default: 1)	



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