|
subjectkey |
GUID |
|
Required |
The NDAR Global Unique Identifier (GUID) for research subject |
NDAR*
|
|
subject_key |
|
src_subject_id |
String |
20
|
Required |
Subject ID how it's defined in lab/project |
|
|
record_id, subejct_id |
|
interview_date |
Date |
|
Required |
Date on which the interview/genetic test/sampling/imaging/biospecimen was completed. MM/DD/YYYY |
|
|
|
|
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.
|
|
|
sex |
String |
20
|
Required |
Sex of subject at birth |
M;F; O; NR
|
M = Male; F = Female; O=Other; NR = Not reported
|
gender |
Query
|
socialrt |
Float |
|
Recommended |
social task average response time |
0::2500
|
in milliseconds
|
|
Query
|
socialsigma |
Float |
|
Recommended |
social task disadvantageous inequality aversion parameter |
-15::15
|
|
|
Query
|
socialrho |
Float |
|
Recommended |
social task advantageous inequality aversion parameter |
-15::15
|
|
|
Query
|
socialomega |
Float |
|
Recommended |
social task softmax temperature parameter |
0.15::15
|
|
|
Query
|
gamblert |
Float |
|
Recommended |
gamble task average response time |
0::2500
|
in milliseconds
|
|
Query
|
gamblelambda |
Float |
|
Recommended |
loss aversion parameter |
0::20
|
1=loss neutral
|
|
Query
|
gamblealpha |
Float |
|
Recommended |
utility function shape parameter |
0::2
|
|
|
Query
|
gambleomega |
Float |
|
Recommended |
loss aversion softmax temperature parameter |
0.15::15
|
|
|
Query
|
foodrt |
Float |
|
Recommended |
food task average response time |
0::2500
|
in milliseconds
|
|
Query
|
foodselfcontrol |
Float |
|
Recommended |
food task percentage healthy choices |
0::1
|
1 = all healthy choices; 0 = no healthy choices
|
|
|
data_file1 |
File |
255
|
Recommended |
Data file 1 |
|
|
|
|
data_file1_type |
String |
300
|
Recommended |
type of data file 1 |
|
|
|
Query
|
exp_responses |
Integer |
|
Recommended |
Number of responses possible on a given trial, based on experimental group |
2 :: 100
|
|
|
Query
|
total_responses |
Integer |
|
Recommended |
Number of all possible responses throghout study |
2 :: 100
|
|
|
|
response_1 |
String |
50
|
Recommended |
First response option category |
|
|
|
|
respose_2 |
String |
50
|
Recommended |
Second response option category |
|
|
|
|
response_3 |
String |
50
|
Recommended |
Third response option category |
|
|
|
|
response_4 |
String |
50
|
Recommended |
Fourth response option category |
|
|
|
|
response_5 |
String |
50
|
Recommended |
Fifth response option category |
|
|
|
|
response_6 |
String |
50
|
Recommended |
Sixth response option category |
|
|
|
Query
|
iti |
Float |
|
Recommended |
Inter-trial interval (ms) |
0 :: 5000
|
|
|
Query
|
feedbacktime |
Float |
|
Recommended |
Error Message Feedback time (ms) |
0 :: 10000
|
|
|
Query
|
timecut |
Float |
|
Recommended |
Time deadline in milliseconds that participants had to select response by |
|
|
|
Query
|
initcut |
Float |
|
Recommended |
Time in milliseconds that participants had to start response by |
|
|
|
Query
|
type |
Integer |
|
Recommended |
Types of trials in the study |
1::4
|
1= Text; 2= Image; 3= Audio; 4= Video
|
|
Query
|
randomize |
Integer |
|
Recommended |
Trial randomization |
0;1
|
0= Not randomized; 1= Randomized
|
|
|
fspgod |
String |
70
|
Recommended |
Subject's gender OTHER describe |
|
|
|
|
male_angry_rt |
Float |
|
Recommended |
male-angry average response time |
0::2500
|
in milliseconds
|
|
|
male_angry_md |
Float |
|
Recommended |
male-angry maximum deviation |
-15::15
|
|
|
|
male_angry_err |
Float |
|
Recommended |
male-angry error rate |
-15::15
|
|
|
|
male_angry_auc |
Float |
|
Recommended |
male-angry AUC |
0.15::15
|
|
|
|
female_angry_rt |
Float |
|
Recommended |
female-angry average response time |
|
|
|
|
female_angry_md |
Float |
|
Recommended |
female-angry maximum deviation |
|
|
|
|
female_angry_err |
Float |
|
Recommended |
female-angry error rate |
|
|
|
|
female_angry_auc |
Float |
|
Recommended |
female-angry AUC |
|
|
|
|
male_happy_rt |
Float |
|
Recommended |
male-happy average response time |
|
|
|
|
male_happy_md |
Float |
|
Recommended |
male-happy maximum deviation |
|
|
|
|
male_happy_err |
Float |
|
Recommended |
male-happy error rate |
|
|
|
|
male_happy_auc |
Float |
|
Recommended |
male-happy AUC |
|
|
|
|
female_happy_rt |
Float |
|
Recommended |
female-happy average response time |
|
|
|
|
female_happy_md |
Float |
|
Recommended |
female-happy maximum deviation |
|
|
|
|
female_happy_err |
Float |
|
Recommended |
female-happy error rate |
|
|
|
|
female_happy_auc |
Float |
|
Recommended |
female-happy AUC |
|
|
|
|
m_angry_rt_sex_task |
Float |
|
Recommended |
male-angry average response time for sex categorisation task |
0::2500
|
in milliseconds
|
|
|
m_angry_md_sex_task |
Float |
|
Recommended |
male-angry maximum deviation for sex categorisation task |
-15::15
|
|
|
|
m_angry_err_sex_task |
Float |
|
Recommended |
male-angry error rate for sex categorisation task |
-15::15
|
|
|
|
m_angry_auc_sex_task |
Float |
|
Recommended |
male-angry AUC for sex categorisation task |
0::15
|
|
|
|
fm_angry_rt_sex_task |
Float |
|
Recommended |
female-angry average response time for sex categorisation task |
0::2500
|
in milliseconds
|
|
|
fm_angry_md_sex_task |
Float |
|
Recommended |
female-angry maximum deviation for sex categorisation task |
-15::15
|
|
|
|
fm_angry_err_sex_task |
Float |
|
Recommended |
female-angry error rate for sex categorisation task |
-15::15
|
|
|
|
fm_angry_auc_sex_task |
Float |
|
Recommended |
female-angry AUC for sex categorisation task |
0::15
|
|
|
|
m_happy_rt_sex_task |
Float |
|
Recommended |
male-happy average response time for sex categorisation task |
0::2500
|
in milliseconds
|
|
|
m_happy_md_sex_task |
Float |
|
Recommended |
male-happy maximum deviation for sex categorisation task |
-15::15
|
|
|
|
m_happy_err_sex_task |
Float |
|
Recommended |
male-happy error rate for sex categorisation task |
-15::15
|
|
|
|
m_happy_auc_sex_task |
Float |
|
Recommended |
male-happy AUC for sex categorisation task |
0::15
|
|
|
|
fm_happy_rt_sex_task |
Float |
|
Recommended |
female-happy average response time for sex categorisation task |
0::2500
|
in milliseconds
|
|
|
fm_happy_md_sex_task |
Float |
|
Recommended |
female-happy maximum deviation for sex categorisation task |
-15::15
|
|
|
|
fm_happy_err_sex_task |
Float |
|
Recommended |
female-happy error rate for sex categorisation task |
-15::15
|
|
|
|
fm_happy_auc_sex_task |
Float |
|
Recommended |
female-happy AUC for sex categorisation task |
0::15
|
|
|
|
m_angry_rt_emotion_task |
Float |
|
Recommended |
male-angry average response time for emotion categorisation task |
0::2500
|
in milliseconds
|
|
|
m_angry_md_emotion_task |
Float |
|
Recommended |
male-angry maximum deviation foemotion categorisation task |
-15::15
|
|
|
|
m_angry_err_emotion_task |
Float |
|
Recommended |
male-angry error rate for emotion categorisation task |
-15::15
|
|
|
|
m_angry_auc_emotion_task |
Float |
|
Recommended |
male-angry AUC for emotion categorisation task |
0::15
|
|
|
|
fm_angry_rt_emotion_task |
Float |
|
Recommended |
female-angry average response time for emotion categorisation task |
0::2500
|
in milliseconds
|
|
|
fm_angry_md_emotion_task |
Float |
|
Recommended |
female-angry maximum deviation for emotion categorisation task |
-15::15
|
|
|
|
fm_angry_err_emotion_task |
Float |
|
Recommended |
female-angry error rate for emotion categorisation task |
-15::15
|
|
|
|
fm_angry_auc_emotion_task |
Float |
|
Recommended |
female-angry AUC for emotion categorisation task |
0::15
|
|
|
|
m_happy_rt_emotion_task |
Float |
|
Recommended |
male-happy average response time for emotion categorisation task |
0::2500
|
in milliseconds
|
|
|
m_happy_md_emotion_task |
Float |
|
Recommended |
male-happy maximum deviation for emotion categorisation task |
-15::15
|
|
|
|
m_happy_err_emotion_task |
Float |
|
Recommended |
male-happy error rate for emotion categorisation task |
-15::15
|
|
|
|
m_happy_auc_emotion_task |
Float |
|
Recommended |
male-happy AUC for emotion categorisation task |
0::15
|
|
|
|
fm_happy_rt_emotion_task |
Float |
|
Recommended |
female-happy average response time for emotion categorisation task |
0::2500
|
in milliseconds
|
|
|
fm_happy_md_emotion_task |
Float |
|
Recommended |
female-happy maximum deviation for emotion categorisation task |
-15::15
|
|
|
|
fm_happy_err_emotion_task |
Float |
|
Recommended |
female-happy error rate for emotion categorisation task |
-15::15
|
|
|
|
fm_happy_auc_emotion_task |
Float |
|
Recommended |
female-happy AUC for emotion categorisation task |
0::15
|
|
|