Sorting Paired Features Task - Keyboard

Technical Manual

Script made available for academic research purposes only
Script has been edited and updated by Millisecond

Last Modified: January 12, 2023 by K. Borchert (katjab@millisecond.com), Millisecond

Script Copyright © Millisecond Software, LLC

Background

This script implements a Sorting Paired Feature Task, an indirect attitude measure. The Sorting Paired Feature Task is a variant of the Implicit Association Task (IAT). Like the IAT it is based on the assumption that it is easier to respond to items if they are associated in the mind. Unlike the IAT, items of two categories are presented as actual pairs on the computer screen (e.g. as a picture of George Bush with the adjective friendly attached to it) and have to be sorted into 4 main categories (the four possible combinations a paired item can belong to). Hypothesis 'congruent' and 'incongruent' pairs can thus be presented in a mixed format.

References

Bar-Anan, Nosek, & Vianello (2009). The sorting paired features task: A measure of association strengths. Experimental Psychology.

This script corresponds to the implicit measurement portion of Study 3.

Duration

8 minutes

Description

The Sorting Paired Feature Task provides 4 main sorting categories in the four corners of the screen. The 4 main sorting categories are categories that combine two concepts. In this script the 4 main sorting categories are: "George Bush & Bad", "George Bush & Good", "John Kelly & Bad", "John Kelly & Good", . In this script, the separate categories "George Bush", "John Kelly", "Good", "Bad" are also used (= 8 different sorting categories)

Participants are given items to sort, one at a time in the middle of the screen. Using 8 different keys, they are asked to sort the items into one of the 8 categories as fast as possible. Error responses result in error feedback and participants have to correct the response before a new trial can start.

Procedure

2 main tasks:

POLALL: 3 blocks
the sorting paired feature task providing the main 4 sorting categories: Democrat-Bad, Democrat-Good, Republican-Bad, Republican-Good
as well as 4 additional sorting categories: Democrat, Republican, Good, Bad

• Only correct responses advance a trial (=> error penalty automatically added to latencies)
• each block runs 64 trials
• 2 different spatial arrangements of sorting categories are tested across participants (Polall1 vs. Polall2);
the assignment is done by groupnumber. Odd groupnumbers run Polall1; even groupnumbers run Polall2.

summary variables are added by Millisecond and are only calculated based on sorting latencies
of trials belonging to the main 4 sorting categories.


SPF3: sorting paired feature task with 3 categories
a) Democrat-Bad, Democrat-Good, single item category
b) Republican-Bad, Republican-Good, single item category

the SPF3 task is currently skipped by the default set-up of this script.
See editable parameters.skipSPF under section Editable Parameters

Stimuli

can be edited under section Editable Stimuli

Instructions

can be edited under section Editable Instructions

Summary Data

File Name: sortingpairedfeatures_summary*.iqdat

Data Fields

NameDescription
inquisit.version Inquisit version number
computer.platform Device platform: win | mac |ios | android
startDate Date the session was run
startTime Time the session was run
subjectId Participant ID
groupId Group number
sessionId Session number
elapsedTime Session duration in ms
completed 0 = Test was not completed
1 = Test was completed
count300 Number of trials with response latencies < 300ms
count4000 Number of trials with response latencies > 4000ms
the following summary variables only apply to trials from the 4 main sorting categories
(Democrat-Bad, Democrat-good, Republican-Bad, Republican-good) in the Polall block with
300ms <= response latencies <= 4000ms
nPolallMain4Conditions Number of main trials run (with 300ms <= response latencies <= 4000ms)
polallRTMain4Conditions Mean response latency (in ms) across the 4 main categories in the Polall block (with 300ms <= response latencies <= 4000ms)
polallSDMain4Conditions Standard deviation (in ms) of latencies across the 4 main categories in the Polall block (with 300ms <= response latencies <= 4000ms)
polallRTDBad Mean response latency (in ms) of sorting combined 'Democrat-Bad' stimuli (with 300ms <= response latencies <= 4000ms)
polallSDDBad Standard deviation (in ms) of latencies sorting combined 'Democrat-Bad' stimuli (with 300ms <= response latencies <= 4000ms)
polallRTDGood Mean response latency (in ms) of sorting combined 'Democrat-Good' stimuli (with 300ms <= response latencies <= 4000ms)
polallSDDGood Standard deviation (in ms) of latencies sorting combined 'Democrat-Good' stimuli (with 300ms <= response latencies <= 4000ms)
polallRTRBad Mean response latency (in ms) of sorting combined 'Republican-Bad' stimuli (with 300ms <= response latencies <= 4000ms)
polallSDRBad Standard deviation (in ms) of latencies sorting combined 'Republican-Bad' stimuli (with 300ms <= response latencies <= 4000ms)
polallRTRGood Mean response latency (in ms) of sorting combined 'Republican-Good' stimuli (with 300ms <= response latencies <= 4000ms)
polallSDRGood Standard deviation (in ms) of latencies sorting combined 'Republican-Good' stimuli (with 300ms <= response latencies <= 4000ms)
Difference Scores for the 4 main conditions
subtracting the overall reaction time mean of the 4 main sorting categories from the individual mean of each sorting category and
then standardizing this difference by dividing it by the overall standard deviation of the latencies of those
4 main sorting conditions
positive D-scores = participants responded slower than on average
negative D-scores = participant responded faster than on average
D_DB (democrat bad)
D_DG (democrat good)
D_RB (republican bad)
D_RG (republican good)

Raw Data

File Name: sortingpairedfeatures_raw*.iqdat

Data Fields

NameDescription
build Inquisit version number
computer.platform Device platform: win | mac |ios | android
date Date the session was run
time Time the session was run
subject Participant ID
group Group number
session Session number
blockCode Name of the current block
blockNum Number of the current block
trialCode Name of the current trial
trialNum Number of the current trial
mainCategory 1 = the current trial is considered one of the four main categories in the Polall Block
main 4 categories: combined categories
Democrat-Bad, Democrat-good, Republican-Bad, Republican-good
response The participant's response (scancode of response key pressed)
Key Response stores the final correct response
correct The correctness of the response (1 = correct; 0 = incorrect)
acc stores the accuracy of the initial (=uncorrected) response
latency The response latency (in ms) of the final correct response

Parameters

The procedure can be adjusted by setting the following parameters.

NameDescriptionDefault
runSPF3 True (1): the SPF3 blocks are run by this script
False (0): the SPF3 blocks are skipped by this script (default)
minRT Sets the minimum latency (in ms) considered for summary variables
maxRT Sets the maximum latency (in ms) considered for summary variables