Reset Password

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.

Warning Notice

This is a U.S. Government computer system, which may be accessed and used only for authorized Government business by authorized personnel. Unauthorized access or use of this computer system may subject violators to criminal, civil, and/or administrative action. All information on this computer system may be intercepted, recorded, read, copied, and disclosed by and to authorized personnel for official purposes, including criminal investigations. Such information includes sensitive data encrypted to comply with confidentiality and privacy requirements. Access or use of this computer system by any person, whether authorized or unauthorized, constitutes consent to these terms. There is no right of privacy in this system.

You have logged in with a temporary password. Please update your password. Passwords must contain 8 or more characters and must contain at least 3 of the following types of characters:

Subscribe to our mailing list

Mailing List(s)
Email Format

You are now leaving the National Database for Autism Research (NDAR) web site to go to:

Click on the address above if the page does not change within 10 seconds.


NDAR is not responsible for the content of this external site and does not monitor other web sites for accuracy.

Accept Terms
Selected Filters
No filters selected

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

Value Range
Data Structures with shared data
No filters have been selected
Switch User

Contextual Assessment of Social Skills (CASS)



Download Definition as
Download Submission Template as
Element NameData TypeSizeRequiredDescriptionValue RangeNotesAliases
subjectkeyGUIDRequiredThe NDAR Global Unique Identifier (GUID) for research subjectNDAR*
src_subject_idString20RequiredSubject ID how it's defined in lab/project
interview_dateDateRequiredDate on which the interview/genetic test/sampling/imaging/biospecimen was completed. MM/DD/YYYYRequired fieldinterviewyear
interview_ageIntegerRequiredAge in months at the time of the interview/test/sampling/imaging.0 :: 1260Age 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.adi_age
genderString20RequiredSex of the subjectM;FM = Male; F = Female
askquestFloatRecommendedAsking questions. The number of questions asked by the participant to engage the confederate in conversation
topchanFloatRecommendedTopic changes. The number of times a participant used a question or comment to attempt to change the topic of conversation
overinvFloatRecommendedOverall involvement. Degree to which the participant's verbal and nonverbal behaviors indicated interest in the conversation and the proportion of the conversational burden carried by the participant
overappFloatRecommendedOverall quality of rapport. The level of comfort and the balance of conversational burden in the interaction
soanxgFloatRecommendedSocial anxiety (global). Degree to which the participant's verbal and nonverbal behaviors were indicative of anxiety (e.g. fidgeting, vocal tremors, direct comments on anxiety)
kinesarFloatRecommendedKinesic arousal. Intensity and frequency of body movement by the participant (e.g. foot tapping, leg shaking)
posturFloatRecommendedPosture. The degree of tension or relaxation in the participant's posture; eliminated due to low variance
vocexpFloatRecommendedVocal expressiveness. Degree to which the participant varied his/her pitch, tone, and tempo
gestuFloatRecommendedGestures. Frequency and quality of participant's gestures, including conventional, descriptive, and emotional/emphatic gestures
posaffFloatRecommendedPositive affect. Level of positive emotion indicated by the participant's facial expression and body languag
crs1IntegerRecommendedThe other person was interested in what I had to say.1::71 = Strongly disagree; 2 = Disagree; 3 = Disagree somewhat; 4 = Neutral/unsure; 5 = Agree somewhat; 6 = Agree; 7 = Strongly Agree
crs2IntegerRecommendedThis person was warm and friendly.1::71 = Strongly disagree; 2 = Disagree; 3 = Disagree somewhat; 4 = Neutral/unsure; 5 = Agree somewhat; 6 = Agree; 7 = Strongly Agree
crs3IntegerRecommendedThe conversation flowed smoothly.1::71 = Strongly disagree; 2 = Disagree; 3 = Disagree somewhat; 4 = Neutral/unsure; 5 = Agree somewhat; 6 = Agree; 7 = Strongly Agree
crs4IntegerRecommendedThe other person acted bored by our conversation.1::71 = Strongly disagree; 2 = Disagree; 3 = Disagree somewhat; 4 = Neutral/unsure; 5 = Agree somewhat; 6 = Agree; 7 = Strongly Agree
crs5IntegerRecommendedThe other person created a sense of distance between us.1::71 = Strongly disagree; 2 = Disagree; 3 = Disagree somewhat; 4 = Neutral/unsure; 5 = Agree somewhat; 6 = Agree; 7 = Strongly Agree
version_formString100RecommendedForm used/assessment name
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: coass01 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.