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NIMH Data Archive
NDA ABCD CCF OAI NIAAADA AMP SCZ HEAL

Probabilistic Reward Task

1,746 Shared Subjects

N/A
Clinical Assessments
Task Based
09/30/2015
prt01
07/07/2022
View Change History
01
Definition
Submission Template
Query Element Name Data Type Size Required Description Value Range Notes Aliases
subjectkey GUID Required The NDAR Global Unique Identifier (GUID) for research subject NDAR* candidateguid, pseudo_guid, subject_key
src_subject_id String 20 Required Subject ID how it's defined in lab/project ibisid
interview_date Date Required Date on which the interview/genetic test/sampling/imaging/biospecimen was completed. MM/DD/YYYY consented_study, date_interview_ses, date_taken, prtdt, studyday
interview_age Integer Required Age in months at the time of the interview/test/sampling/imaging. 0::1440 Age is rounded to chronological month. If the research participant is 15-days-old at time of interview, the appropriate value would be 0 months. If the participant is 16-days-old, the value would be 1 month. age_m_consent, candidate_age_in_months
sex String 20 Required Sex of subject at birth M;F; O; NR M = Male; F = Female; O=Other; NR = Not reported gender, sex
Query b1resp Float Recommended Block 1 - Response Bias
Query b1disc Float Recommended Block 1 - Discriminability
Query b1mnacc Float Recommended Block 1 - Mean Accuracy
Query b1mnrea Float Recommended Block 1 - Mean Reaction Time
Query b2resp Float Recommended Block 2 - Response Bias
Query b2disc Float Recommended Block 2 - Discriminability
Query b2mnacc Float Recommended Block 2 - Mean Accuracy
Query b2mnrea Float Recommended Block 2 - Mean Reaction Time
Query b3resp Float Recommended Block 3 - Response Bias
Query b3disc Float Recommended Block 3 - Discriminability
Query b3mnacc Float Recommended Block 3 - Mean Accuracy
Query b3mnrea Float Recommended Block 3 - Mean Reaction Time
Query visnum Float Recommended Numeric Visit Number -1.5 = Pre-Screening; -1 = Screening; 0 = Baseline; ## = Visit ## (from 1 to 10); Whole numbers = standard monthly visits; #.001 - #.009 = Unscheduled; #.1 = End of Phase 1; #.2 = End of Phase 2; #.3 = End of Phase 3; #.4 = End of Open Choice Phase; #.5 = End of Study; #.6 = Genetic Analysis; 1000=all visits
version_form String 121 Recommended Form used/assessment name version
Query ncaid Integer Recommended Primary ID of Neurocognitive Test
site String 101 Recommended Site Study Site siteid
Query timept Integer Recommended Time Point 888 = not applicable; 999 = missing timepoint
testreason String 255 Recommended Reason for Testing probreward_type
probreward_seed String 15 Recommended Seed (For TMB Use Only)
Query probreward_yellow Integer Recommended Number of Yellow Dots Displayed
Query probreward_blue Integer Recommended Number of Blue Dots Displayed
probreward_baited String 5 Recommended Reward Held Over from Prev Trial (True/False)
Query probreward_rewarded Integer Recommended Trial High(1) or Low(0) Reward 0 :: 1 0=Low Reward; 1=High Reward
probreward_response String 6 Recommended Color Participant Chose
Query responsecorrect Float Recommended Response Correct (1=Correct) 0 :: 1 0=Incorrect; 1=Correct probreward_correct
Query rt Float Recommended Reaction Time -1 = NaN probreward_rt
crt_state String 25 Recommended Responded via Keyb/Touch/Mouse keyup=Keyboard; mouseup=Mouse (mouseup); pointerup=Mouse (pointerup); timeout=Timed Out; touchend=Touchscreen probreward_state
Query battery_id Integer Recommended Identifier of Battery probreward_batteryid
Query testid Integer Recommended Identifier of Current Test probreward_testid
session_id String 20 Recommended session ID/screening ID probreward_sittingid
Query cbgroup Integer Recommended Counterbalancing Group probreward_group
Query aurora_device Integer Recommended Device Used 1 :: 6 1=iPad; 2=iPhone; 3=Tablet; 4=Android Smartphone; 5=Desktop; 6=Laptop probreward_device
Query visit String 60 Recommended Visit name probreward_timepoint
Query probreward_accuracy Float Recommended Proportion Correct Responses Across All Trials
Query probreward_meanrtc Float Recommended Mean Reaction Time For All Correct Trials (ms)
Query probreward_medianrtc Float Recommended Median Reaction Time For All Correct Trials (ms)
Query probreward_sdrtc Float Recommended Standard deviation of Reaction Times Across All Correct Trials (ms)
probreward_rich_stimulus String 20 Recommended Rewarded Stimulus
Query probreward_rich_correct Integer Recommended Number Of Rich Correct Responses Across All Trials
Query probreward_rich_incorrect Integer Recommended Number Of Rich Incorrect Responses Across All Trials
Query probreward_rich_meanrtc Float Recommended Mean Reaction Time For All Correct Rich Trials (ms)
Query probreward_rich_medianrtc Float Recommended Median Reaction Time For All Correct Rich Trials (ms)
Query probreward_rich_sdrtc Float Recommended Standard deviation Of Reaction Times Across All Correct Rich Trials (ms)
Query probreward_lean_correct Integer Recommended Number Of Lean Correct Responses Across All Trials
Query probreward_lean_incorrect Integer Recommended Number Of Lean Incorrect Responses Across All Trials
Query probreward_lean_meanrtc Float Recommended Mean Reaction Time For All Correct Lean Trials (ms)
Query probreward_lean_medianrtc Float Recommended Median Reaction Time For All Correct Lean Trials (ms)
Query probreward_lean_sdrtc Float Recommended Standard deviation Of Reaction Times Across All Correct Lean Trials (ms)
Query probreward_sens_exact Float Recommended Log Sensitivity - Exact Formula
Query probreward_bias_exact Float Recommended Log Bias - Exact Formula
Query probreward_sens_loglinear Float Recommended Log Sensitivity - Loglinear Formula
Query probreward_bias_loglinear Float Recommended Log Bias - Loglinear Formula
deviceserialnumber String 200 Recommended device serial number/ID probreward_useragent
Query testduration Float Recommended Seconds Taken To Complete Test probreward_duration
Query testrestarts Integer Recommended Number Of Times Participant Restarted Test probreward_reloaded
Query mpdat Float Recommended days from enrollment studyday
probreward_ndots Integer Recommended Number of dots displayed
ca10 Float Recommended Age (years) subject_age
ccc2datecomp Date Recommended Date Completed plt_date
plt_acc_train_ab Float Recommended Probability Learning (PL) Task - Accuracy - Training pair: AB Averaged across 10 trials
plt_acc_train_cd Float Recommended Probability Learning (PL) Task - Accuracy - Training pair: CD Averaged across 10 trials
plt_acc_train_ef Float Recommended Probability Learning (PL) Task - Accuracy - Training pair: EF Averaged across 10 trials
plt_acc_perf_ac Float Recommended Probability Learning (PL) Task - Accuracy - Novel pair: AC Averaged across 10 trials
plt_acc_perf_ad Float Recommended Probability Learning (PL) Task - Accuracy - Novel pair: AD Averaged across 10 trials
plt_acc_perf_ae Float Recommended Probability Learning (PL) Task - Accuracy - Novel pair: AE Averaged across 10 trials
plt_acc_perf_af Float Recommended Probability Learning (PL) Task - Accuracy - Novel pair: AF Averaged across 10 trials
plt_acc_perf_bc Float Recommended Probability Learning (PL) Task - Accuracy - Novel pair: BC Averaged across 10 trials
plt_acc_perf_bd Float Recommended Probability Learning (PL) Task - Accuracy - Novel pair: BD Averaged across 10 trials
plt_acc_perf_be Float Recommended Probability Learning (PL) Task - Accuracy - Novel pair: BE Averaged across 10 trials
plt_acc_perf_bf Float Recommended Probability Learning (PL) Task - Accuracy - Novel pair: BF Averaged across 10 trials
plt_acc_train Float Recommended Probability Learning (PL) Task - Overall accuracy training pairs Averaged across 30 trials (AB, CD, EF)
plt_acc_perf_a Float Recommended Probability Learning (PL) Task - Overall accuracy for ?Choose A? trials Averaged across 40 trials (AC, AD, AE, AF)
plt_acc_perf_b Float Recommended Probability Learning (PL) Task - Overall accuracy for ?Avoid B? trials Averaged across 40 trials (BC, BD, BE, BF)
plt_acc_overall Float Recommended Probability Learning (PL) Task - Overall accuracy Averaged across 108 trials
plt_acc_acq_ab Float Recommended Probability Learning (PL) Task - Accuracy for AB pair Averaged across 36 trials
plt_acc_acq_cd Float Recommended Probability Learning (PL) Task - Accuracy for CD pair Averaged across 36 trials
plt_acc_acq_ef Float Recommended Probability Learning (PL) Task - Accuracy for EF pair Averaged across 36 trials
plt_acc_acq_block1 Float Recommended Probability Learning (PL) Task - Accuracy in block 1 Averaged across 36 trials (within each block of 36 trials there are 12 trials of each of the trial types)
plt_acc_acq_block2 Float Recommended Probability Learning (PL) Task - Accuracy in block 2 Averaged across 36 trials (within each block of 36 trials there are 12 trials of each of the trial types)
plt_acc_acq_block3 Float Recommended Probability Learning (PL) Task - Accuracy in block 3 Averaged across 36 trials (within each block of 36 trials there are 12 trials of each of the trial types)
prt_stimulus Integer Recommended PRT Stimulus Used 0;1 0 = Short mouth; 1 = Long mouth
Data Structure

This page displays the data structure defined for the measure identified in the title and structure short name. The table below displays a list of data elements in this structure (also called variables) and the following information:

  • Element Name: This is the standard element name
  • Data Type: Which type of data this element is, e.g. String, Float, File location.
  • Size: If applicable, the character limit of this element
  • Required: This column displays whether the element is Required for valid submissions, Recommended for valid submissions, Conditional on other elements, or Optional
  • Description: A basic description
  • Value Range: Which values can appear validly in this element (case sensitive for strings)
  • Notes: Expanded description or notes on coding of values
  • Aliases: A list of currently supported Aliases (alternate element names)
  • For valid elements with shared data, on the far left is a Filter button you can use to view a summary of shared data for that element and apply a query filter to your Cart based on selected value ranges

At the top of this page you can also:

  • Use the search bar to filter the elements displayed. This will not filter on the Size of Required columns
  • Download a copy of this definition in CSV format
  • Download a blank CSV submission template prepopulated with the correct structure header rows ready to fill with subject records and upload

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