___________________________________________________________________________________________________________________ Global Local Task for Children (mouse/touchscreen version) ___________________________________________________________________________________________________________________ Script Author: Katja Borchert, Ph.D. (katjab@millisecond.com) for Millisecond Software, LLC Date: 05-17-2017 last updated: 06-15-2023 by K. Borchert (katjab@millisecond.com) for Millisecond Software, LLC Script Copyright © 06-15-2023 Millisecond Software ___________________________________________________________________________________________________________________ BACKGROUND INFO ___________________________________________________________________________________________________________________ This script implements a child friendly Global-Local-Task; a test of perceptual processing of global and local features of stimuli. The implemented procedure is based on: Sjöwall, D., Roth, L., Lindqvist, S., & Thorell, L. B. (2013). Multiple deficits in ADHD: executive dysfunction, delay aversion, reaction time variability and emotional deficits. Journal of Child Psychology and Psychiatry, 54, 619–627. ___________________________________________________________________________________________________________________ TASK DESCRIPTION ___________________________________________________________________________________________________________________ Participants see Navon figures made up of an overall shape (circle vs. square) and detail shapes (circle vs. square). They work through 3 different rounds: (a) pay attention to global shape; (b) pay attention to local shape (c) a mixed design (measures shifting). ___________________________________________________________________________________________________________________ DURATION ___________________________________________________________________________________________________________________ the default set-up of the script takes appr. 7 minutes to complete ___________________________________________________________________________________________________________________ DATA OUTPUT DICTIONARY ___________________________________________________________________________________________________________________ The fields in the data files are: (1) Raw data file: 'globallocaltask_children_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. countTrials: counts overall test trials (starttrial excluded from count) task: stores the task from the current task: "global" vs. "local" prevTask: stores the task from the previous task: "global" vs. "local" globalForm: the global form of the current stim: "square" vs. "circle" localForm: the local form of the current stim: "square" vs. "circle" selectedStim: the itemnumber of the currently selected stimulus stimulusItem: the selected image response: the participant's response responseCategory: "circle" vs. "square" (selected shape) correct Response: the correct response for the current task: "square" vs. "circle" correct: accuracy of response: 1 = correct response; 0 = otherwise latency: the response latency (in ms); measured from: onset of stim (2) Summary data file: 'globallocaltask_children_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) accGlobal: proportion correct across all global test trials (block.global only) meanRTGlobal: mean correct latency (in ms) of all global test trials (block.global only) accLocal: proportion correct across all local test trials (block.local only) meanRTLocal: mean correct latency (in ms) of all local test trials (block.local only) accShift: proportion correct of all mixed, shift trials (block.mixed only) meanRTShift: mean correct latency (in ms) of all mixed, shift trials (block.mixed only) accNonShift: proportion correct of all mixed, nonshift trials (block.mixed only) meanRTNonShift: mean correct latency (in ms) of all mixed, nonshift trials (block.mixed only) shiftCost: estimates the shift cost by subtracting the mean correct latency on shift trials from those of nonshift trials ___________________________________________________________________________________________________________________ EXPERIMENTAL SET-UP ___________________________________________________________________________________________________________________ 1. Block*: global task - 10 practice trials (don't count toward summary statistics) - 20 test trials (test trials are indistinguishable from practice trials) - smiley feedback provided - each of the two test stimuli is selected equally often during the test trials (order is randomized) 2. Block*: local task - 10 practice trials (don't count toward summary statistics) - 20 test trials (test trials are indistinguishable from practice trials) - smiley feedback provided - each of the two test stimuli is selected equally often during the test trials (order is randomized) Note: order of global/local tasks is randomized. 3. Block: mixed (assesses shifting costs) - 11 practice trials (1 starttrial + 10 shift/nonshift trials) - don't count toward summary statistics - the starttrial selects the first task randomly - 40 test trials: 20 shift + 20 nonshift trials (order is randomized) - smiley feedback provided - each of the two test stimuli is selected equally often during the test trials (order is randomized) - the starttrials Trial Sequence: stimulus -> until response -> Feedback (500ms) -> ITI (500ms) ___________________________________________________________________________________________________________________ STIMULI ___________________________________________________________________________________________________________________ provided by Millisecond Software: Sizing can be controlled via an editable parameter ___________________________________________________________________________________________________________________ INSTRUCTIONS ___________________________________________________________________________________________________________________ provided by Millisecond Software - can be edited under section Editable Instructions The instructions are presented in slide format. Slides can easily be customized in PowerPoint. ___________________________________________________________________________________________________________________ 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: /taskReminderDuration: duration of the reminder that reminds participants what to pay attention to for the global/local block (default: 2000ms) /feedbackDuration: duration (in ms) of feedback smiley (default: 500ms) /iti: intertrial interval (in ms) (default: 500ms) /readyDuration: duration (in ms) of the 'get ready' trial (default: 5000ms) /stimSize: sizing of the stims proportional to the canvas height (default: 50%)