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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.

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Description
Value Range
Notes
Data Structures with shared data
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Multidimensional Personality Questionnaire

mpq

01

Download Definition as
Download Submission Template as
Element NameData TypeSizeRequiredDescriptionValue RangeNotesAliases
subjectkeyGUIDRequiredThe NDAR Global Unique Identifier (GUID) for research subjectNDAR*nimhid
src_subject_idString20RequiredSubject ID how it's defined in lab/projectptid
interview_dateDateRequiredDate on which the interview/genetic test/sampling/imaging was completed. MM/DD/YYYYRequired fieldtestdate
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.age
genderString20RequiredSex of the subjectM;FM = Male; F = Female
visitString50RecommendedVisit nameCharacter description of each type of visitvisitnum
mpq24IntegerRecommendedI keep close track of where my money goes.0;11=True; 0=False
mpq_2IntegerRecommendedWhen I have to make a decision, I usually take time to consider and weigh all possibilities.0;11=True; 0=False
mpq47IntegerRecommendedI like to stop and think things over before I do them.0;11=True; 0=False
mpq70IntegerRecommendedI don't like to start a project until I know exactly how to do it.0;11=True; 0=False
mpq79IntegerRecommendedI am very levelheaded, usually have both feet on the ground.0;11=True; 0=False
mpq103IntegerRecommendedI almost never do anything reckless.0;11=True; 0=False
mpq124IntegerRecommendedI tend to value and take a rational, "sensible" approach to things.0;11=True; 0=False
mpq147IntegerRecommendedI usually think very carefully before I make up my mind.0;11=True; 0=False
mpq172IntegerRecommendedI plan and organize my work in detail.0;11=True; 0=False
mpq195IntegerRecommendedPeople say that I am well organized (that I do things in a systematic manner).0;11=True; 0=False
mpq209IntegerRecommendedI am a cautious person.0;11=True; 0=False
mpq234IntegerRecommendedWhenever I go out to have fun I like to have a pretty good idea of what I'm going to do.0;11=True; 0=False
mpq251IntegerRecommendedBefore I get into a new situation I like to find out what to expect from it.0;11=True; 0=False
mpq12IntegerRecommendedI often stop one thing before completing it and start another.0;11=True; 0=False
mpq38IntegerRecommendedI often act without thinking.0;11=True; 0=False
mpq57IntegerRecommendedI often prefer to "play things by ear" rather than to plan ahead.0;11=True; 0=False
mpq92IntegerRecommendedI am more likely to do things quickly and carelessly rather than slowly and carefully.0;11=True; 0=False
mpq112IntegerRecommendedWhen I need to buy something, I usually go get it without thinking what more I may soon need from the same store.0;11=True; 0=False
mpq136IntegerRecommendedI often act on the spur of the moment.0;11=True; 0=False
mpq159IntegerRecommendedI am often not as cautious as I should be.0;11=True; 0=False
mpq185IntegerRecommendedI often start projects with little idea of what the end result will be.0;11=True; 0=False
mpq219IntegerRecommendedI generally do not like to have detailed plans.0;11=True; 0=False
mpq243IntegerRecommendedPeople consider me a rather freewheeling and spontaneous person.0;11=True; 0=False
mpq266IntegerRecommendedI often like to do the first thing that comes to my mind.0;11=True; 0=False
mpq_scoreIntegerRecommendedControl Scale scoreTrue (sum items 2, 24, 47, 70, 79, 103, 124, 147, 172, 195, 209, 234, 251); False (sum items 12, 38, 57, 92, 112, 136, 159, 185, 219, 243, 266).
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: mpq01 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.