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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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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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Adolescent Academic Problems Checklist

aapc

01

Parent and teacher ratings of problem behaviors that interfere with academic functioning.

Download Definition as
Download Submission Template as
Element NameData TypeSizeRequiredDescriptionValue RangeNotesAliases
subjectkeyGUIDRequiredThe NDAR Global Unique Identifier (GUID) for research subjectNDAR*guid
src_subject_idString20RequiredSubject ID how it's defined in lab/projectrecord_id
interview_dateDateRequiredDate on which the interview/genetic test/sampling/imaging was completed. MM/DD/YYYYRequired field
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.
genderString20RequiredSex of the subjectM;FM = Male; F = Female
version_formString100RequiredForm used
respondIntegerRecommendedRespondent1::4;9991 = Parent; 2 = Teacher; 3=Self; 4= Other; 999 = Not available
respond_detailIntegerRecommendedRespondent detail1::8;9991 = Mother; 2 = Father; 3 = Other relative or custodial adult; 4 = Teacher or caregiver; 5 = Other specialist; 6 = Other; 7 = Child; 8= Spouse; 999 = Not available
visnumFloatRecommendedNumeric Visit Number-1.5 = Pre-Screening; -1 = Screening; 0 = Baseline; ## = Visit ## (from 1 to 10); Whole numbers = standard monthly visits; #.001 - #.009 = Unscheduled; #.1 = End of Phase 1; #.2 = End of Phase 2; #.3 = End of Phase 3; #.4 = End of Open Choice Phase; #.5 = End of Study; #.6 = Genetic Analysis; 1000=all visits
aapcp_1IntegerRecommended1. Fails to take class notes0::30 = Not at all; 1 = Just a little; 2 = Pretty much; 3 = Very much
aapcp_2IntegerRecommended2. Receives poor grades on tests/quizzes0::30 = Not at all; 1 = Just a little; 2 = Pretty much; 3 = Very much
aapcp_3IntegerRecommended3. Does not follow through on homework instructions0::30 = Not at all; 1 = Just a little; 2 = Pretty much; 3 = Very much
aapcp_4IntegerRecommended4. Is disruptive in class0::30 = Not at all; 1 = Just a little; 2 = Pretty much; 3 = Very much
aapcp_5IntegerRecommended5. Does not follow through on instructions given during class0::30 = Not at all; 1 = Just a little; 2 = Pretty much; 3 = Very much
aapcp_6IntegerRecommended6. Arrives late for class0::30 = Not at all; 1 = Just a little; 2 = Pretty much; 3 = Very much
aapcp_7IntegerRecommended7. Does not study for tests/quizzes0::30 = Not at all; 1 = Just a little; 2 = Pretty much; 3 = Very much
aapcp_8IntegerRecommended8. Turns in work that was not completed thoroughly0::30 = Not at all; 1 = Just a little; 2 = Pretty much; 3 = Very much
aapcp_9IntegerRecommended9. Has poorly organized folders or binders0::30 = Not at all; 1 = Just a little; 2 = Pretty much; 3 = Very much
aapcp_10IntegerRecommended10. Forgets to bring appropriate materials to class0::30 = Not at all; 1 = Just a little; 2 = Pretty much; 3 = Very much
aapcp_11IntegerRecommended11. Fails to turn in homework that he/she has already completed0::30 = Not at all; 1 = Just a little; 2 = Pretty much; 3 = Very much
aapcp_12IntegerRecommended12. Fails to turn in assignments on time0::30 = Not at all; 1 = Just a little; 2 = Pretty much; 3 = Very much
aapcp_13IntegerRecommended13. Actively refuses to complete work.0::30 = Not at all; 1 = Just a little; 2 = Pretty much; 3 = Very much
aapcp_14IntegerRecommended14. Has difficulty organizing writing assignments0::30 = Not at all; 1 = Just a little; 2 = Pretty much; 3 = Very much
aapcp_15IntegerRecommended15. Is noncompliant with adult requests0::30 = Not at all; 1 = Just a little; 2 = Pretty much; 3 = Very much
aapcp_16IntegerRecommended16. Makes careless errors on work0::30 = Not at all; 1 = Just a little; 2 = Pretty much; 3 = Very much
aapcp_17IntegerRecommended17. Fails to record homework assignments in a daily planner0::30 = Not at all; 1 = Just a little; 2 = Pretty much; 3 = Very much
aapcp_18IntegerRecommended18. Fails to participate in class discussions0::30 = Not at all; 1 = Just a little; 2 = Pretty much; 3 = Very much
aapcp_19IntegerRecommended19. Is off-task during school work0::30 = Not at all; 1 = Just a little; 2 = Pretty much; 3 = Very much
aapcp_20IntegerRecommended20. Fails to raise hand before speaking in class0::30 = Not at all; 1 = Just a little; 2 = Pretty much; 3 = Very much
aapcp_21IntegerRecommended21. Leaves longer-term projects until the last minute0::30 = Not at all; 1 = Just a little; 2 = Pretty much; 3 = Very much
aapcp_22IntegerRecommended22. Skips class for unexcused reasons0::30 = Not at all; 1 = Just a little; 2 = Pretty much; 3 = Very much
aapcp_23IntegerRecommended23. Poor time management0::30 = Not at all; 1 = Just a little; 2 = Pretty much; 3 = Very much
aapcp_24IntegerRecommended24.Has difficulty getting started on assignments0::30 = Not at all; 1 = Just a little; 2 = Pretty much; 3 = Very much
aapc_tsIntegerRequiredAAPC total 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: aapc01 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.