___________________________________________________________________________________________________________________ *Inquisit Demonstration Script for the Sorting Paired Features Task - with Mouse/Touchscreen Input* ___________________________________________________________________________________________________________________ last updated: 02-28-2022 by K. Borchert (katjab@millisecond.com) for Millisecond Software, LLC Script Copyright © 2004, Brian Nosek Script made available for academic research purposes only Script has been edited and updated by Millisecond Software ___________________________________________________________________________________________________________________ BACKGROUND INFO ___________________________________________________________________________________________________________________ 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. The Inquisit script was provided by Dr. Brian Nosek and updated for mouseinput by Millisecond Software. Reference: 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. ___________________________________________________________________________________________________________________ TASK 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. They are asked to sort the items into one of the 8 categories as fast as possible by selecting the appropriate category with their finger/mouse. Error responses result in error feedback and participants have to correct the response before a new trial can start. ___________________________________________________________________________________________________________________ DURATION ___________________________________________________________________________________________________________________ the default set-up of the script takes appr. 8 minutes to complete ___________________________________________________________________________________________________________________ DATA FILE INFORMATION ___________________________________________________________________________________________________________________ The default data stored in the data files are: (1) Raw data file: 'sortingpairedfeatures_mi_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 session: 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. 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 Note: Key Response stores the final correct response correct: the correctness of the response (1 = correct; 0 = incorrect) Note: ACC stores the accuracy of the initial (=uncorrected) response latency: the response latency (in ms) of the final correct response (2) Summary data file: 'sortingpairedfeatures_mi_summary*.iqdat' (a separate file for each participant) inquisit.version: Inquisit version run computer.platform: the platform the script was run on (win/mac/ios/android) startDate: date script was run startTime: time script was started subjectid: assigned subject id number groupid: assigned group id number sessionid: assigned session id number elapsedTime: time it took to run script (in ms); measured from onset to offset of script completed: 0 = script was not completed (prematurely aborted); 1 = script was completed (all conditions run) Note: The following summary variables were added to the original script by Millisecond Software. All summary variables can also be calculated based on the raw data. 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; By design, all trial responses are correct responses. Count300: number of trials with response latencies < 300ms Count4000: number of trials with response latencies > 4000ms Note: 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 N_polall_main4Conditions: number of main trials run (with 300ms <= response latencies <= 4000ms) polall_RT_main4Conditions: mean response latency (in ms) across the 4 main categories in the Polall block (with 300ms <= response latencies <= 4000ms) polall_SD_main4Conditions: standard deviation (in ms) of latencies across the 4 main categories in the Polall block (with 300ms <= response latencies <= 4000ms) polall_RT_Dbad: mean response latency (in ms) of sorting combined 'Democrat-Bad' stimuli (with 300ms <= response latencies <= 4000ms) polall_SD_Dbad: standard deviation (in ms) of latencies sorting combined 'Democrat-Bad' stimuli (with 300ms <= response latencies <= 4000ms) polall_RT_Dgood: mean response latency (in ms) of sorting combined 'Democrat-Good' stimuli (with 300ms <= response latencies <= 4000ms) polall_SD_Dgood: standard deviation (in ms) of latencies sorting combined 'Democrat-Good' stimuli (with 300ms <= response latencies <= 4000ms) polall_RT_Rbad: mean response latency (in ms) of sorting combined 'Republican-Bad' stimuli (with 300ms <= response latencies <= 4000ms) polall_SD_Rbad: standard deviation (in ms) of latencies sorting combined 'Republican-Bad' stimuli (with 300ms <= response latencies <= 4000ms) polall_RT_Rgood: mean response latency (in ms) of sorting combined 'Republican-Good' stimuli (with 300ms <= response latencies <= 4000ms) polall_SD_Rgood: 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) ___________________________________________________________________________________________________________________ EXPERIMENTAL SET-UP ___________________________________________________________________________________________________________________ 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. Note: summary variables are added by Millisecond Software 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 Note: 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 ___________________________________________________________________________________________________________________ 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: /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