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Description
Value Range
Notes
Data Structures with shared data
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Dickman Impulsivity Inventory

dickman

01

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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
dick1IntegerRecommendedI would travel a great deal if I had the chance0;11=True; 0=False
dick2IntegerRecommendedI don't like to make decisions quickly, even simple decisions, such as choosing what to wear, or what to have for dinner0;11=True; 0=False
dick3IntegerRecommendedI seldom tell lies0;11=True; 0=False
dick4IntegerRecommendedI will often say whatever comes into my head without thinking first0;11=True; 0=False
dick5IntegerRecommendedI have many hobbies0;11=True; 0=False
dick6IntegerRecommendedI am good at taking advantage of unexpected opportunities, where you have to do something immediately or lose your chance0;11=True; 0=False
dick7IntegerRecommendedI would rather read fiction than non-fiction0;11=True; 0=False
dick8IntegerRecommendedI enjoy working out problems slowly and carefully0;11=True; 0=False
dick9IntegerRecommendedI would not drive over the speed limit, even if I knew I would not be caught0;11=True; 0=False
dick10IntegerRecommendedI am uncomfortable when I have to make up my mind rapidly0;11=True; 0=False
dick11IntegerRecommendedI consider myself a sympathetic person0;11=True; 0=False
dick12IntegerRecommendedI frequently make appointments without thinking about whether I will be able to keep them0;11=True; 0=False
dick13IntegerRecommendedI enjoy exercising0;11=True; 0=False
dick14IntegerRecommendedI like to take part in really fast-paced conversations, where you don't have much time to think before you speak0;11=True; 0=False
capi4IntegerRecommendedI like most people0;10=Disagree; 1=Agreedick15
dick16IntegerRecommendedI frequently buy things without thinking about whether or not I can really afford them0;11=True; 0=False
dick17IntegerRecommendedI watch television about as much as most people do0;11=True; 0=False
dick18IntegerRecommendedMost of the time, I can put my thoughts into words very rapidly0;11=True; 0=False
dick19IntegerRecommendedI enjoy outdoor activities0;11=True; 0=False
dick20IntegerRecommendedI often make up my mind without taking the time to consider the situation from all angles0;11=True; 0=False
dick21IntegerRecommendedI have read more books than most of my friends0;11=True; 0=False
dick22IntegerRecommendedI don't like to do things quickly, even when I am doing something that is not very difficult0;11=True; 0=False
dick23IntegerRecommendedI am more alert than most people late at night0;11=True; 0=False
dick24IntegerRecommendedOften, I don't spend enough time thinking over a situation before I act0;11=True; 0=False
dick25IntegerRecommendedI like to read about scientific research0;11=True; 0=False
dick26IntegerRecommendedI would enjoy working at a job that required me to make a lot of split-second decisions0;11=True; 0=False
dick27IntegerRecommendedReligion is very important in my life0;11=True; 0=False
dick28IntegerRecommendedI often get into trouble because I don't think before I act0;11=True; 0=False
dick29IntegerRecommendedI have more curiosity than most people0;11=True; 0=False
dick30IntegerRecommendedI like sports and games in which you have to choose your next move very quickly0;11=True; 0=False
dick31IntegerRecommendedI read the newspaper almost every day0;11=True; 0=False
dick32IntegerRecommendedMany times the plans I make don't work out because I haven't gone over them carefully enough in advance0;11=True; 0=False
dick33IntegerRecommendedI sometimes get depressed for no good reason0;11=True; 0=False
dick34IntegerRecommendedPeople have admired me because I can think quickly0;11=True; 0=False
dick35IntegerRecommendedI enjoy it when I get a chance to visit a city I've never seen before0;11=True; 0=False
dick36IntegerRecommendedI rarely get involved in projects without first considering the potential problems0;11=True; 0=False
dick37IntegerRecommendedI am easily embarrassed0;11=True; 0=False
dick38IntegerRecommendedI have often missed out on opportunities because I couldn't make up my mind fast enough0;11=True; 0=False
dick39IntegerRecommendedI am more alert than most people early in the morning0;11=True; 0=False
dick40IntegerRecommendedBefore making any important decision, I carefully weigh the pros and cons0;11=True; 0=False
dick41IntegerRecommendedI make an effort to take care of my health0;11=True; 0=False
dick42IntegerRecommendedI try to avoid activities where you have to act without much time to think first0;11=True; 0=False
dick43IntegerRecommendedI generally go to bed at a later hour than most people do0;11=True; 0=False
dick44IntegerRecommendedI am good at careful reasoning0;11=True; 0=False
dick45IntegerRecommendedI think that I am more creative than most of my friends0;11=True; 0=False
pdq46IntegerRecommendedI do a lot of things without considering the consequences.0;1;-70=False; 1=True; -7=Refuseddick46
dysfunc_posIntegerRecommendedDysfunctional Impulsivity positive score
dysfunc_negIntegerRecommendedDysfunctional Impulsivity negative score
dysfunc_totalIntegerRecommendedTotal Dysfunctional Impulsivity score
func_posIntegerRecommendedFunctional Impulsivity positive score
func_negIntegerRecommendedFunctional Impulsivity negative score
func_totalIntegerRecommendedTotal Functional Impulsivity 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: dickman01 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.