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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
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Notes
Data Structures with shared data
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NIH Toolbox Emotion Domain - Self-Efficacy Survey

self_effic

01

NIH Toolbox Emotion Domain - Self-Efficacy Survey

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 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
gse01IntegerRecommendedI can manage to solve difficult problems if I try hard enough.1::51=Never; 2=Almost Never; 3=Sometimes; 4=Fairly Often; 5=Very Oftenpxygse01
gse02IntegerRecommendedIf someone opposes me, I can find the means and ways to get what I want.1::51=Never; 2=Almost Never; 3=Sometimes; 4=Fairly Often; 5=Very Oftengse02m, pxygse02m
gse03IntegerRecommendedIt is easy for me to stick to my aims and accomplish my goals.1::51=Never; 2=Almost Never; 3=Sometimes; 4=Fairly Often; 5=Very Oftengse03m, pxygse03m
gse04IntegerRecommendedI am confident that I could deal efficiently with unexpected events.1::51=Never; 2=Almost Never; 3=Sometimes; 4=Fairly Often; 5=Very Oftengse04m, pxygse04m
gse05mIntegerRecommendedThanks to my talents and skills, I know how to handle unexpected situations.1::51=Never; 2=Almost Never; 3=Sometimes; 4=Fairly Often; 5=Very Oftenpxygse05m
gse06mIntegerRecommendedI can solve most problems if I try hard enough.1::51=Never; 2=Almost Never; 3=Sometimes; 4=Fairly Often; 5=Very Oftenpxygse06m
gse07mIntegerRecommendedI stay calm when facing difficulties because I can handle them.1::51=Never; 2=Almost Never; 3=Sometimes; 4=Fairly Often; 5=Very Oftenpxygse07m
gse08mIntegerRecommendedWhen I have a problem, I can find several ways to solve it.1::51=Never; 2=Almost Never; 3=Sometimes; 4=Fairly Often; 5=Very Oftenpxygse08m
gse09IntegerRecommendedIf I am in trouble, I can think of a solution.1::51=Never; 2=Almost Never; 3=Sometimes; 4=Fairly Often; 5=Very Oftenpxygse09
gse10IntegerRecommendedI can handle whatever comes my way.1::51=Never; 2=Almost Never; 3=Sometimes; 4=Fairly Often; 5=Very Oftenpxygse10
nih_tlbx_rawscoreFloatRequiredRawScore
nih_tlbx_tscoreFloatRequiredT-score0::200
nih_tlbx_seFloatRequiredStandard Error
nih_tlbx_thetaFloatRecommendedThetaselfefficacy13_17, selfefficacy18_85, selfefficacy8_12, selfefficacyprox8_12
nih_pinString25RecommendedPIN number assigned by the NIH Toolbox
version_formString100RequiredForm used
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: self_effic01 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.