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NDAR provides a single access to de-identified autism research data. For permission to download data, you will need an NDAR account with approved access to NDAR or a connected repository (AGRE, IAN, or the ATP). For NDAR 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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Selected Filters
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The filters you have selected from various query interfaces will be stored here, in the 'Filter Cart'. The database will be queried using filters added to your 'Filter Cart', when multiple filters are defined, each will be executed using 'AND' logic, so with each filter that is applied the result set gets smaller.

From the 'Filter Cart' you can inspect each of the filters that have been defined, and you also have the option to remove filters. The 'Filter Cart' itself will display the number of filters applied along with the number of subjects that are identified by the combination of those filters. For example a GUID filter with two subjects, followed by a GUID filter for just one of those subjects would return only data for the subject that is in both GUID filters.

If you have a question about the filter cart, or underlying filters please contact the help desk at The NDA Help Desk

Description
Value Range
Notes
Data Structures with shared data
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CPEA STAART Stanford Binet 4th Edition

cs_stanford_binet_4th_ed

02

Stanford Binet 4th Edition as defined by the CPEA STAART project

Download Definition as
Download Submission Template as
Element NameData TypeSizeRequiredDescriptionValue RangeNotesAliases
subjectkeyGUIDRequiredThe NDAR Global Unique Identifier (GUID) for research subjectNDAR*
interview_dateDateRequiredDate on which the interview/genetic test/sampling/imaging was completed. MM/DD/YYYYRequired fieldsb_date_std
cycleIntegerRecommendedTimepoint information-1 = Screener; 0 = Baseline; 97 = Taper; 98 = Withdrawal; 99 = Interim contact
patidString20Recommendedsrc_Subject_idA Participant ID provided by DM-STAT must be present to process form
networkString20RecommendedNetworkCPEA or STAART Network
siteString100RecommendedSiteStudy Site
studyString100RecommendedStudy
sb_ageIntegerRecommendedStanford Binet Age
sb_ar_sasIntegerRecommendedStandard Age Score
sb_arc_aeIntegerRecommendedAge Equivalent
sb_arc_rawIntegerRecommendedRaw Score
sb_arc_sasIntegerRecommendedStandard Age Score
sb_arf_aeIntegerRecommendedAge Equivalent
sb_arf_rawIntegerRecommendedRaw Score
sb_arf_sasIntegerRecommendedStandard Age Score
sb_arm_aeIntegerRecommendedAge Equivalent
sb_arm_rawIntegerRecommendedRaw Score
sb_arm_sasIntegerRecommendedStandard Age Score
sb_arp_aeIntegerRecommendedAge Equivalent
sb_arp_rawIntegerRecommendedRaw Score
sb_arp_sasIntegerRecommendedStandard Age Score
sb_dateIntegerRecommendedStanford Binet Date
sb_versionString35RecommendedStanford Binet Version
sb_fsiq_stdscoreIntegerRecommendedStandard score
sb_qn_sasIntegerRecommendedStandard Age Score
sb_qne_aeIntegerRecommendedAge Equivalent
sb_qne_rawIntegerRecommendedRaw Score
sb_qne_sasIntegerRecommendedStandard Age Score
sb_qnn_aeIntegerRecommendedAge Equivalent
sb_qnn_rawIntegerRecommendedRaw Score
sb_qnn_sasIntegerRecommendedStandard Age Score
sb_qnq_aeIntegerRecommendedAge Equivalent
sb_qnq_rawIntegerRecommendedRaw Score
sb_qnq_sasIntegerRecommendedStandard Age Score
sb_sm_sasIntegerRecommendedStandard Age Score
sb_smb_aeIntegerRecommendedAge Equivalent
sb_smb_rawIntegerRecommendedRaw Score
sb_smb_sasIntegerRecommendedStandard Age Score
sb_smd_aeIntegerRecommendedAge Equivalent
sb_smd_rawIntegerRecommendedRaw Score
sb_smd_sasIntegerRecommendedStandard Age Score
sb_smo_aeIntegerRecommendedAge Equivalent
sb_smo_rawIntegerRecommendedRaw Score
sb_smo_sasIntegerRecommendedStandard Age Score
sb_sms_aeIntegerRecommendedAge Equivalent
sb_sms_rawIntegerRecommendedRaw Score
sb_sms_sasIntegerRecommendedStandard Age Score
sb_tc_iqIntegerRecommendedTest Composite IQ
sb_vr_sasIntegerRecommendedStandard Age Score
sb_vra_aeIntegerRecommendedAge Equivalent
sb_vra_rawIntegerRecommendedRaw Score
sb_vra_sasIntegerRecommendedStandard Age Score
sb_vrc_aeIntegerRecommendedAge Equivalent
sb_vrc_rawIntegerRecommendedRaw Score
sb_vrc_sasIntegerRecommendedStandard Age Score
sb_vrr_aeIntegerRecommendedAge Equivalent
sb_vrr_rawIntegerRecommendedRaw Score
sb_vrr_sasIntegerRecommendedStandard Age Score
sb_vrv_aeIntegerRecommendedAge Equivalent
sb_vrv_rawIntegerRecommendedRaw Score
sb_vrv_sasIntegerRecommendedStandard Age Score
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.

Distribution for DataStructure: cs_stanford_binet_4th_ed02 and Element:
Chart Help

Filters enable researchers to view the data shared in NDA before applying for access or for selecting specific data for download or NDA Study assignment. For those with access to NDA shared data, you may select specific values to be included by selecting an individual bar chart item or by selecting a range of values (e.g. interview_age) using the "Add Range" button. Note that not all elements have appropriately distinct values like comments and subjectkey and are not available for filtering. Additionally, item level detail is not always provided by the research community as indicated by the number of null values given.

Filters for multiple data elements within a structure are supported. Selections across multiple data structures will be supported in a future version of NDA.