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Filter Cart

The Filter Cart provides a powerful way to query and access data for which you may be interested.  

A few points related to the filter cart are important to understand with the NDA Query/Filter implementation: 

First, the filter cart is populated asyncronously.  So, when you run a query, it may take a moment to populate but this will happen in the background so you can define other queries during this time.  

When you are adding your first filter, all data associated with your query will be added to the filter cart (whether it be a collection, a concept, a study, a data structure/elment or subjects). Not all data structures or collections will necessarily be displayed.  For example, if you select the NDA imaging structure image03, and further restrict that query to scan_type fMRI, only fMRI images will appear and only the image03 structure will be shown.  To see other data structures, select "Find All Subject Data" which will query all data for those subjects. When a secord or third filter is applied, an AND condition is used.  A subject must exist in all filters.  If the subject does not appear in any one filter, that subjects data will not be included in your filter cart. If that happens, clear your filter cart, and start over.  

It is best to package more data than you need and access those data using other tools, independent of the NDA (e.g. miNDAR snapshot), to limit the data selected.  If you have any questions on data access, are interested in using avaialble web services, or need help accessing data, please contact us for assistance.  

Frequently Asked Questions



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NDA provides a single access to de-identified autism research data. For permission to download data, you will need an NDA account with approved access to NDA or a connected repository (AGRE, IAN, or the ATP). For NDA access, you need to be a research investigator sponsored by an NIH recognized institution with federal wide assurance. See Request Access for more information.

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237 Shared Subjects

Leiter International Performance Scale Third Edition
Clinical Assessments
View Change History
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*
src_subject_id String 20 Required Subject ID how it's defined in lab/project randid
interview_date Date Required Date on which the interview/genetic test/sampling/imaging/biospecimen was completed. MM/DD/YYYY Required field
interview_age Integer Required Age in months at the time of the interview/test/sampling/imaging. 0 :: 1260 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 the subject M;F M = Male; F = Female gender
Query medprob_eyecolorbl String 50 Recommended Color blindness?
Query psysoc_62 String 5 Recommended Vision problems: Yes;No
grade String 50 Recommended Current Grade
Query leit_full_sss Integer Recommended Nonverbal IQ Sum of Scaled Scores 999=missing
Query leit_full_iq Integer Required Nonverbal IQ Score 999=missing
Query leit_full_per Float Recommended Nonverbal IQ Percentile
Query leit_brief_sss Integer Recommended Brief IQ Sum of Scaled Scores 999=missing iqt_q4e1
Query leit_brief_iq Integer Required Brief IQ Score 999=missing iqt_q4e2
Query leit_fg_ss Integer Recommended Figure Ground (FG) Subtest Scaled Score iqt_q4a2
Query leit_fc_ss Integer Recommended Form Completion (FC) Subtest Scaled Score iqt_q4b2
Query leit_so_ss Integer Recommended Sequential Order (SO) Scaled Score iqt_q4c2
Query leit_rp_ss Integer Recommended Repeated Patterns (RP) Scaled Score iqt_q4d2
Query leit_c_ss Integer Recommended Classification Analogies (CA ) Scaled Score
Query leit_vp_ss Integer Recommended Visual Pattern (VP) Scaled Score
Query leit_fg_raw Integer Recommended FG Raw Score 0 :: 33; 999 999 = Missing value iqt_q4a1
Query leit_fc_raw Integer Recommended FC Raw Score (Sum of FC 1-8 and FC 9-15 Raw Scores) 0 :: 36; 999 999 = Missing value iqt_q4b1
Query leit_so_raw Integer Recommended SO Raw Score 0 :: 51; 999 999 = Missing value iqt_q4c1
Query leit_rp_raw Integer Recommended RP Raw Score 0 :: 27; 999 999 = Missing value iqt_q4d1
Query leit_c_raw Integer Recommended CA Raw Score 0 :: 32; 999 999 = Missing value
Query leit_vp_raw Integer Recommended VP Raw score 0 :: 29; 999 999 = Missing value
Query leit_as_ss Integer Recommended Attention Sustained AS Scaled score
Query leit_fm_ss Integer Recommended Forward Memory FM Scaled score
Query leit_rm_ss Integer Recommended Reverse Memory RM Scaled score
Query leit_nsic_ss Integer Recommended Nonverbal Stroop Incongruent Correct NSic Scaled score
Query leit_nscc_ss Integer Recommended Nonverbal Stroop Congruent Correct NScc Scaled score
Query leit_nseff_ss Integer Recommended Nonverbal Stroop Effect NSeff Scaled score
Query leit_as_raw Integer Recommended AS Raw score 0 :: 20; 999 999 = Missing value
Query leit_fm_raw Integer Recommended FM Raw score 0 :: 20; 999 999 = Missing value
Query leit_rm_raw Integer Recommended RM Raw score 0 :: 20; 999 999 = Missing value
Query leit_nsic_raw Integer Recommended NSic Raw score 0 :: 20; 999 999 = Missing value
Query leit_nscc_raw Integer Recommended NScc Raw score 0 :: 20; 999 999 = Missing value
Query leit_nseff_raw Integer Recommended NSeff Raw score 0 :: 20; 999 999 = Missing value
Query leit_as_psss Integer Recommended AS Processing Speed Scaled score
Query leit_fm_nmss Integer Recommended FM Nonverbal Memory Scaled score
Query leit_rm_nmss Integer Recommended RM Nonverbal Memory Scaled score
Query leit_nsic_psss Integer Recommended Nsic Processing Speed Scaled score
Query leit_nm_sss Integer Recommended Nonverbal Memory Sum of Scaled Scores
Query leit_nm_cs Integer Recommended Nonverbal Memory Composite Score
Query leit_nm_perc Integer Recommended Nonverbal Memory Percentile
leit_nm_cir String 20 Recommended Nonverbal Memory Confidence Interval range
Query leit_ps_sss Integer Recommended Processing Speed Sum of Scaled Scores
Query leit_ps_cs Integer Recommended Processing Speed Composite Score
Query leit_ps_perc Integer Recommended Processing Speed Percentile
leit_ps_cir String 20 Recommended Processing Speed Confidence Interval range
Query daysrz Integer Recommended days since randomization visitdt
study String 100 Recommended Study studyid
site String 101 Recommended Site Study Site siteid
visit String 50 Recommended Visit name int1
Query completed Integer Recommended Checks if completed 0::3 0=No; 1=Yes; 2=Yes, lost; 3=Unverified formcomp
Query subtrial_name Integer Recommended Name of subtrial 1::3 1=Crossover; 2=Guanfacine; 3= Open Label MPH
Query leit_brief_per Float Recommended Brief IQ Percentile iqt_q4e3
Query iqt_q4e4 Float Recommended LEITER: Brief IQ - % Confidence Interval
Query iqt_q4fy Float Recommended LEITER: Brief IQ mental age years
Query iqt_q4fm Float Recommended LEITER: Brief IQ mental age months
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

Please email the The NDA Help Desk with any questions.