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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

Glossary

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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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Attributional Complexity Scale

attcom

01

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/projectrecord_id
interview_dateDateRequiredDate on which the interview/genetic test/sampling/imaging/biospecimen 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.
sexString20RequiredSex of the subjectM;FM = Male; F = Femalegender
fspgodString20RecommendedSubject's gender OTHER describe
comments_miscString4,000RecommendedMiscellaneous comments on study, interview, methodology relevant to this form data
motivationalIntegerRecommendedSubscale: Motivational component -12::12Sum of subscale items
complex_explanationsIntegerRecommendedSubscale: Preference for complex rather than simple explanations -12::12Sum of subscale itemspreference_complex_explanations
metacognitionIntegerRecommendedSubscale: Metacognition concerning explanations -12::12Sum of subscale items
beh_fx_interactionsIntegerRecommendedSubscale: Awareness of the extent to which people's behavior is a function of interaction with others -12::12Sum of subscale items
complex_intern_explIntegerRecommendedSubscale: Tendency to infer abstract or causally complex internal attributions -12::12Sum of subscale items
complex_contemp_externalIntegerRecommendedSubscale: Tendency to infer abstract, contemporary, external causal attributions -12::12Sum of subscale items
temporalIntegerRecommendedSubscale: Tendency to infer external causes operating from the past -12::12Sum of subscale items
total_attrib_complexityIntegerRequiredAttributional Complexity Scale: Total Score -84::84Sum of all items
attcom1IntegerRecommendedI don't usually bother to analyze and explain people's behavior.-3::33 = Strongly disagree ; 0 = Neither agree nor disagree; -3 = Strongly agree
attcom2IntegerRecommendedOnce I have figured out a single cause for a person's behavior I don't usually go any further.-3::33 = Strongly disagree ; 0 = Neither agree nor disagree; -3 = Strongly agree
attcom3IntegerRecommendedI believe it is important to analyze and understand our own thinking processes.-3::3-3 = Strongly disagree ; 0 = Neither agree nor disagree; 3 = Strongly agree
attcom4IntegerRecommendedI think a lot about the influence that I have on people's behavior.-3::3-3 = Strongly disagree ; 0 = Neither agree nor disagree; 3 = Strongly agree
attcom5IntegerRecommendedI have found that relationships between a person's attitudes, beliefs, and character traits are usually simple and straightforward.-3::33 = Strongly disagree ; 0 = Neither agree nor disagree; -3 = Strongly agree
attcom6IntegerRecommendedIf I see people behaving in a really strange or unusual manner, I usually put it down to the fact that they are strange or unusual people and don't bother to explain it any further.-3::33 = Strongly disagree ; 0 = Neither agree nor disagree; -3 = Strongly agree
attcom7IntegerRecommendedI have thought a lot about the family background and personal history of people who are close to me, in order to understand why they are the sort of people they are.-3::3-3 = Strongly disagree ; 0 = Neither agree nor disagree; 3 = Strongly agree
attcom8IntegerRecommendedI don't enjoy getting into discussions where the causes for people's behavior are being talked about.-3::33 = Strongly disagree ; 0 = Neither agree nor disagree; -3 = Strongly agree
attcom9IntegerRecommendedI have found that the causes for people's behavior are usually complex rather than simple.-3::3-3 = Strongly disagree ; 0 = Neither agree nor disagree; 3 = Strongly agree
attcom10IntegerRecommendedI am very interested in understanding how my own thinking works when I make judgments about people or attach causes to their behavior.-3::3-3 = Strongly disagree ; 0 = Neither agree nor disagree; 3 = Strongly agree
attcom11IntegerRecommendedI think very little about the different ways that people influence each other.-3::33 = Strongly disagree ; 0 = Neither agree nor disagree; -3 = Strongly agree
attcom12IntegerRecommendedTo understand a person's personality/behavior I have found it is important to know how that person's attitudes, beliefs, and character traits fit together.-3::3-3 = Strongly disagree ; 0 = Neither agree nor disagree; 3 = Strongly agree
attcom13IntegerRecommendedWhen I try to explain other people's behavior I concentrate on the other person and don't worry too much about all the existing external factors that might be affecting them.-3::33 = Strongly disagree ; 0 = Neither agree nor disagree; -3 = Strongly agree
attcom14IntegerRecommendedI have often found that the basic cause for a person's behavior is located far back in time.-3::3-3 = Strongly disagree ; 0 = Neither agree nor disagree; 3 = Strongly agree
attcom15IntegerRecommendedI really enjoy analyzing the reasons or causes for people's behavior.-3::3-3 = Strongly disagree ; 0 = Neither agree nor disagree; 3 = Strongly agree
attcom16IntegerRecommendedI usually find that complicated explanations for people's behavior are confusing rather than helpful.-3::33 = Strongly disagree ; 0 = Neither agree nor disagree; -3 = Strongly agree
attcom17IntegerRecommendedI give little thought to how my thinking works in the process of understanding or explaining people's behavior.-3::33 = Strongly disagree ; 0 = Neither agree nor disagree; -3 = Strongly agree
attcom18IntegerRecommendedI think very little about the influence that other people have on my behavior.-3::33 = Strongly disagree ; 0 = Neither agree nor disagree; -3 = Strongly agree
attcom19IntegerRecommendedI have thought a lot about the way that different parts of my personality influence other parts (e.g., beliefs affecting attitudes or attitudes affecting character traits).-3::3-3 = Strongly disagree ; 0 = Neither agree nor disagree; 3 = Strongly agree
attcom20IntegerRecommendedI think a lot about the influence that society has on other people.-3::3-3 = Strongly disagree ; 0 = Neither agree nor disagree; 3 = Strongly agree
attcom21IntegerRecommendedWhen I analyze a person's behavior I often find the causes form a chain that goes back in time, sometimes for years.-3::3-3 = Strongly disagree ; 0 = Neither agree nor disagree; 3 = Strongly agree
attcom22IntegerRecommendedI am not really curious about human behavior.-3::33 = Strongly disagree ; 0 = Neither agree nor disagree; -3 = Strongly agree
attcom23IntegerRecommendedI prefer simple rather than complex explanations for people's behavior.-3::33 = Strongly disagree ; 0 = Neither agree nor disagree; -3 = Strongly agree
attcom24IntegerRecommendedWhen the reasons I give for my own behavior are different from someone else's, this often makes me think about the thinking processes that lead to my explanations.-3::3-3 = Strongly disagree ; 0 = Neither agree nor disagree; 3 = Strongly agree
attcom25IntegerRecommendedI believe that to understand a person you need to understand the people who that person has close contact with.-3::3-3 = Strongly disagree ; 0 = Neither agree nor disagree; 3 = Strongly agree
attcom26IntegerRecommendedI tend to take people's behavior at face value and not worry about the inner causes for their behavior (e.g., attitudes, beliefs, etc.).-3::33 = Strongly disagree ; 0 = Neither agree nor disagree; -3 = Strongly agree
attcom27IntegerRecommendedI think a lot about the influence that society has on my behavior and personality.-3::3-3 = Strongly disagree ; 0 = Neither agree nor disagree; 3 = Strongly agree
attcom28IntegerRecommendedI have thought very little about my own family background and personal history in order to understand why I am the sort of person I am.-3::33 = Strongly disagree ; 0 = Neither agree nor disagree; -3 = Strongly agree
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: attcom01 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.