___________________________________________________________________________________________________________________ WEATHER PREDICTION TEST: A Probabilistic Classification Learning Task ___________________________________________________________________________________________________________________ Script Author: Katja Borchert, Ph.D. (katjab@millisecond.com) for Millisecond Software, LLC Date: 09-20-2016 last updated: 03-02-2022 by K. Borchert (katjab@millisecond.com) for Millisecond Software, LLC Script Copyright © 03-02-2022 Millisecond Software ___________________________________________________________________________________________________________________ BACKGROUND INFO ___________________________________________________________________________________________________________________ This script implements the Weather Prediction Test , a test of probabilistic learning. Reference: Knowlton, B.J, Squire, L.R, Gluck, M.A (1994). Probabilistic classification learning in amnesia. Learn Mem, 1, 106 –120. ___________________________________________________________________________________________________________________ TASK DESCRIPTION ___________________________________________________________________________________________________________________ Participants see combinations of 4 (weather) cue cards (Max number of cues presented at the same time: 3) and have to predict the weather outcome (rain vs. sunshine) based on the different cue patterns within 5s. All cue patterns predict a weather outcome (e.g sunshine) with a predetermined probability. There are four possible cue outcome association strengths with outcome1: 75%, 58%, 43%, or 26% (approximately) with outcome 1. Feedback is given based on the actual weather outcome. Script tracks whether participants select the more probable outcome for the pattern (even if the less probable outcome was the actual outcome) across 7 blocks of 50 trials as well as for every 10 trials during the first block. ___________________________________________________________________________________________________________________ DURATION ___________________________________________________________________________________________________________________ the default set-up of the script takes appr. 25 minutes to complete ___________________________________________________________________________________________________________________ DATA FILE INFORMATION ___________________________________________________________________________________________________________________ The default data stored in the data files are: (1) Raw data file: 'weatherpredictiontest_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. cue1- cue4: store the itemnumber of the cues randomly assigned to be used as cue1-cue4 countTestBlock: keeps track of the number of Test Blocks run pattern: stores the current cue pattern (e.g. "1000" -> only cue1 is presented) currentCue1- currentCue4: stores the current itemnumber of the presented cue (0 = empty) P_outcome1: stores the probability of outcome 1 associated with the current cue pattern P_outcome2: stores the probability of outcome 2 associated with the current cue pattern outcome: actual selected outcome: 1 = outcome1; 2 = outcome2 (assigned based on predetermined probabilities) response: the participant's response (selected response button) latency: the response latency (in ms) measured from cue onset correctOutcomePrediction: 1 = correct actual outcome was predicted; 0 = prediction was incorrect probableOutcomePrediction: 1 = probable outcome for the pattern was predicted (=> outcome with a probability of 0.5 or above was selected); 0 = otherwise Note: responses to pattern 6 and 9 were excluded from summary variables as probabilities for either outcome was p = 0.5 prop_probableChoice: proportion of more probable outcome response per block Note: responses to pattern 6 and 9 were excluded from summary variables as probabilities for either outcome was p = 0.5 (2) Summary data file: 'weatherpredictiontest_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) ) ///Summary Variables: Note: responses to pattern 6 and 9 were excluded from summary variables as probabilities for either outcome was p = 0.5 prop_probableChoice_overall: overall proportion of probable choice responses (probable choice = selecting the outcome with p > 0.5 for the given cue pattern) prop_probableChoice_1- prop_probableChoice_7: proportion of probable choice responses in block 1-7 ///Block1: the choices of the first block are further analyzed by groups of 10 trials: prop_probableChoice_Block1_1to10: proportion of probable choice responses in block 1, trials 1-10 prop_probableChoice_Block1_11to20: proportion of probable choice responses in block 1, trials 11-20 prop_probableChoice_Block1_21to30: proportion of probable choice responses in block 1, trials 21-30 prop_probableChoice_Block1_31to40: proportion of probable choice responses in block 1, trials 31-40 prop_probableChoice_Block1_41to50: proportion of probable choice responses in block 1, trials 41-50 * 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 ___________________________________________________________________________________________________________________ 7 test blocks: Each Block with 50 trials with pattern frequencies according to predetermined probabilities as outlined in file Probabilities.xlsx (also see section Editable lists list.patternFrequency) - order of pattern is randomized with the constraint that consecutive patterns are different - actual outcomes are determined according to predetermined outcome probabilities (not frequencies) for each pattern (see Editable lists list.p_outcome1 and list.outcomeprobabilities_pattern1 etc.) - feedback based on actual prediction (NOT based on selecting the more probable outcome) - participants have 5s (default) to respond. If no response is give within that time frame, the computer assumes the wrong prediction (both actual and probable) were made. - the cue cards get randomly allocated to be cue1 to cue4 for each participant - by default, cue positions are randomly determined (if more than 1 card) - an optional horizontal Prediction Bar can be presented at the top of the screen: The bar consists of a green and a red segment. At the beginning, both segments are of equal size. The green segment grows with each correct prediction (while the red shrinks) and it shrinks with each incorrect prediction (while the red on grows) throughout the task. trial sequence: 3 cues (Max: 5000ms, response reminder after 2000ms)->Feedback based on actual prediction (2000ms) -> ITI (default: 500ms) ___________________________________________________________________________________________________________________ STIMULI ___________________________________________________________________________________________________________________ provided by Millisecond Software, see section Editable Stimuli ___________________________________________________________________________________________________________________ INSTRUCTIONS ___________________________________________________________________________________________________________________ provided by Millisecond Software, see 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: /outcome1: stores the itemnumber of outcome1 (here: 1 -> sunshine) /outcome2: stores the itemnumber of outcome2 (here: 2 -> rain) /outcome1Label: the label for outcome1 (default: "sunshine") /outcome2Label: the label for outcome2 (default: "rain") /responseWindow: the response window in ms (here: 5000ms) /reminder: the reminder delay (in ms) that reminds participants to respond (here: after 2000ms) /feedbackDuration: the duration (in ms) of the feedback stimuli (here: 2000ms) /ITI: intertrial interval in ms (default: 500ms) /randomCuePositions: true = cues appear with random horizontal positioning (default) Note: if only 1 cue card is presented, it is always presented in the center; the random positioning refers to trials that present more than 1 cue card. false = cues appear in 4 dedicated screen locations /presentpredictionBar: true = presents a horizontal Prediction Bar at the top of the screen. The bar consists of a green and a red segment. At the beginning, both segments are of equal size. The green segment grows with each correct prediction (while the red shrinks) and it shrinks with each incorrect prediction (while the red one grows) throughout the task (default) false = does not present the Prediction Bar