NDA Help Center

Login Dialog

Frequently Asked Questions

Glossary

Contact NDA Help Desk

NDA Help Center

Filter Cart

Viewable at the top right of NDA pages, the Filter Cart is a temporary holder for filters and data they select. Filters are added to the Workspace first, before being submitted to The Filter Cart. Data selected by filters in the Filter Cart can be added to a Data Package or an NDA Study from the Data Packaging Page, by clicking the 'Create Data Package / Add Data to Study' button.

The filter cart supports combining multiple filters together, and depending on filter type will use "AND" or "OR"  when combining filters.

Multiple selections from the same filter type will result in those selections being applied with an ‘OR’ condition. For example, if you add an NDA Collection Filter with selections for both collections 2112 and 2563 to an empty Workspace, the subjects from NDA Collection 2112 ‘OR’ NDA Collection 2563 will be added to your Workspace even if a subject is in both NDA Collections. You can then add other NDA Collections to your Workspace which further extends the ‘OR’ condition.

If a different filter type is added to your Workspace, or a filter has already been submitted to the Filter Cart, the operation then performs a logical ‘AND’ operation. This means that given the subjects returned from the first filter, only those subjects that matched the first filter are returned by the second filter (i.e., subjects that satisfied both filters).

When combining other filters with the GUID filter, please note the GUID filter should be added last. Otherwise, preselected data may be lost. For example, a predefined filter from Featured Datasets may select a subset of data available for a subject. When combined with a GUID filter for the same subject, the filter cart will contain all data available from that subject, data structure, and dataset; this may be more data than was selected in the predefined filter for that subject. Again, you should add the GUID Filter as the last filter to your cart. This ensures 'AND' logic between filters and will limit results to the subjects, data structures, and datasets already included in your filter cart.

Note that only the subjects specific to your filter will be added to your Filter Cart and only on data shared with the research community. Other data for those same subjects may exist (i.e., within another NDA Collection, associated with a data structure that was not requested in the query, etc.). So, users should select ‘Find all Subjects Data’ to identify all data for those specific subjects. 

Additional Tips:

  • You may query the data without an account, but to gain access you will need to create an NDA user account and apply for access.  Most data access requires that you or your lab are sponsored by an NIH recognized institution with Federal Wide Assurance (FWA).  Without access, you will not be able to obtain individual-level data. 

    Once you have selected data of interest you can:
  • Create a data package - This allows you to specify format for access/download
  • Assign to Study Cohort - Associate the data to an NDA Study allowing for a DOI to be generated and the data to be linked directly to a finding, publication, or data release. 
  • Find All Subject Data - Depending on filter types being used, not all data associated with a subject will be selected.  Data may be restricted by data structure, NDA Collection, or outcome variables (e.g., NDA Study). ‘Find All Data’ expands the fliter criteria by replacing all filters in your Filter Cart with a single Query by GUID filter for all subjects selected by those filters.

    Please Note:
  • When running a query, it may take a moment to populate the Filter Cart. Queries happen in the background so you can define other queries during this time. 
  • When you add your first filter, all data associated with your query will be added to the Filter Cart (e.g., a Concept, an NDA Collection, a Data Structure/Element, etc.). As you add additional filters, they will also display in the Filter Cart. Only the name of filter will be shown in the Filter Cart, not the underlying structures. 
  • Information about the contents of the Filter Cart can be seen by clicking "Edit”.
  • Once your results appear in the Filter Cart, you can create a data package or assign subjects to a study by selecting the 'Package/Assign to Study' option. You can also 'Edit' or 'Clear' filters.
     

Frequently Asked Questions

  • The Filter Cart currently employs basic AND/OR Boolean logic. A single filter may contain multiple selections for that filter type, e.g., a single NDA Study filter might contain NDA Study 1 and NDA Study 2. A subject that is in EITHER 1 OR 2 will be returned.  Adding multiple filters to the cart, regardless of type, will AND the result of each filter.  If NDA Study 1 and NDA Study 2 are added as individual filters, data for a subject will only be selected if the subject is included in  BOTH 1 AND 2.

    When combining other filters with the GUID filter, please note the GUID filter should be added last. Otherwise, preselected data may be lost. For example, a predefined filter from Featured Datasets may select a subset of data available for a subject. When combined with a GUID filter for the same subject, the filter cart will contain all data available from that subject, data structure, and dataset; this may be more data than was selected in the predefined filter for that subject. Again, you should add the GUID Filter as the last filter to your cart. This ensures 'AND' logic between filters and will limit results to the subjects, data structures, and datasets already included in your filter cart.

  • Viewable at the top right of NDA pages, the Filter Cart is a temporary holder of data identified by the user, through querying or browsing, as being of some potential interest. The Filter Cart is where you send the data from your Workspace after it has been filtered.

  • After filters are added to the Filter Cart, users have options to ‘Create a Package’ for download, ‘Associate to Study Cohort’, or ‘Find All Subject Data’. Selecting ‘Find All Subject Data’ identifies and pulls all data for the subjects into the Filter Cart. Choosing ‘Create a Package’ allows users to package and name their query information for download. Choosing ‘Associate to Study Cohort’ gives users the opportunity to choose the Study Cohort they wish to associate this data.

Glossary

  • Once your filter cart contains the subjects of interest, select Create Data Package/Assign to Data Study which will provide options for accessing item level data and/or assigning to a study.  

  • Once queries have been added to your workspace, the next step is to Submit the Filters in the workspace to the Filter Cart.  This process runs the queries selected, saving the results within a filter cart attached to your account.  

  • The Workspace within the General Query Tool is a holding area where you can review your pending filters prior to adding them to Filter Cart. Therefore, the first step in accessing data is to select one or more items and move it into the Workspace. 

Contact NDA Help Desk

Loading...

Login
Reset Password

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.

Warning Notice

This is a U.S. Government computer system, which may be accessed and used only for authorized Government business by authorized personnel. Unauthorized access or use of this computer system may subject violators to criminal, civil, and/or administrative action. All information on this computer system may be intercepted, recorded, read, copied, and disclosed by and to authorized personnel for official purposes, including criminal investigations. Such information includes sensitive data encrypted to comply with confidentiality and privacy requirements. Access or use of this computer system by any person, whether authorized or unauthorized, constitutes consent to these terms. There is no right of privacy in this system.

Update Password

You have logged in with a temporary password. Please update your password. Passwords must contain 8 or more characters and must contain at least 3 of the following types of characters:

  • Uppercase
  • Lowercase
  • Numbers
  • Special Characters limited to: %,_,!,@,#,$,-,%,&,+,=,),(,*,^,:,;
Update Password

Subscribe to our mailing list

Mailing List(s)
Email Format

You are now leaving the NIMH Data Archive (NDA) web site to go to:

Click on the address above if the page does not change within 10 seconds.

Disclaimer

NDA is not responsible for the content of this external site and does not monitor other web sites for accuracy.

Accept Terms
NIMH Data Archive
Filter Cart
No filters selected
Description
Value Range
Notes
Data Structures with shared data
No filters have been selected
Switch User

Buss-Perry Aggression Questionnaire

318 Shared Subjects

N/A
Clinical Assessments
Aggression
09/12/2017
bpaq01
12/16/2020
View Change History
01
Definition
Submission Template
Query Element Name Data Type Size Required Description Value Range Notes Aliases
subjectkey GUID Required The NDAR Global Unique Identifier (GUID) for research subject NDAR*
src_subject_id String 20 Required Subject ID how it's defined in lab/project
interview_date Date Required Date on which the interview/genetic test/sampling/imaging/biospecimen was completed. MM/DD/YYYY
interview_age Integer Required Age in months at the time of the interview/test/sampling/imaging. 0 :: 1260 Age 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.
sex String 20 Required Sex of the subject M;F; O; NR M = Male; F = Female; O=Other; NR = Not reported gender
Query agression_strike Integer Recommended Once in a while I can't control the urge to strike another person. PX640701_Aggression_Urge_ToStrike 1::5 1=Extremely uncharacteristic; 2=Somewhat uncharacteristic; 3=Neither uncharacteristic nor characteristic; 4=Somewhat characteristic; 5=Extremely characteristic bpaq_1
Query agression_provocation Integer Recommended Given enough provocation, I may hit another person. PX640701_Aggression_Provocation_Hit 1::5 1=Extremely uncharacteristic; 2=Somewhat uncharacteristic; 3=Neither uncharacteristic nor characteristic; 4=Somewhat characteristic; 5=Extremely characteristic bpaq_2
Query agression_hitback Integer Recommended If somebody hits me, I hit back. PX640701_Aggression_Hit_Back 1::5 1=Extremely uncharacteristic; 2=Somewhat uncharacteristic; 3=Neither uncharacteristic nor characteristic; 4=Somewhat characteristic; 5=Extremely characteristic bpaq_3
Query agression_fights Integer Recommended I get into fights a little more than the average person. PX640701_Aggression_Get_Into_Fights 1::5 1=Extremely uncharacteristic; 2=Somewhat uncharacteristic; 3=Neither uncharacteristic nor characteristic; 4=Somewhat characteristic; 5=Extremely characteristic bpaq_4
Query agression_violence Integer Recommended If I have to resort to violence to protect my rights, I will. PX640701_Aggression_Resort_ToViolence 1::5 1=Extremely uncharacteristic; 2=Somewhat uncharacteristic; 3=Neither uncharacteristic nor characteristic; 4=Somewhat characteristic; 5=Extremely characteristic bpaq_5
Query agression_blows Integer Recommended There are people who pushed me so far that we came to blows. PX640701_Aggression_Pushed_To_Blows 1::5 1=Extremely uncharacteristic; 2=Somewhat uncharacteristic; 3=Neither uncharacteristic nor characteristic; 4=Somewhat characteristic; 5=Extremely characteristic bpaq_6
Query agression_noreason Integer Recommended I can think of no good reason for ever hitting a person (R). PX640701_Aggression_No_Reason_ToHIt 1::5 1=Extremely uncharacteristic; 2=Somewhat uncharacteristic; 3=Neither uncharacteristic nor characteristic; 4=Somewhat characteristic; 5=Extremely characteristic bpaq_7
Query agression_threat Integer Recommended I have threatened people I know. PX640701_Aggression_Threatened_People 1::5 1=Extremely uncharacteristic; 2=Somewhat uncharacteristic; 3=Neither uncharacteristic nor characteristic; 4=Somewhat characteristic; 5=Extremely characteristic bpaq_8
Query agression_broken Integer Recommended I have become so mad that I have broken things. PX640701_Aggression_Mad_Broken_Things 1::5 1=Extremely uncharacteristic; 2=Somewhat uncharacteristic; 3=Neither uncharacteristic nor characteristic; 4=Somewhat characteristic; 5=Extremely characteristic bpaq_9
Query agression_opendis Integer Recommended I tell my friends openly when I disagree with them. PX640701_Aggression_Openly_Disagree 1::5 1=Extremely uncharacteristic; 2=Somewhat uncharacteristic; 3=Neither uncharacteristic nor characteristic; 4=Somewhat characteristic; 5=Extremely characteristic bpaq_10
Query agression_disagree Integer Recommended I often find myself disagreeing with people. PX640701_Aggression_Often_Disagreeeing 1::5 1=Extremely uncharacteristic; 2=Somewhat uncharacteristic; 3=Neither uncharacteristic nor characteristic; 4=Somewhat characteristic; 5=Extremely characteristic bpaq_11
Query aggression_think Integer Recommended When people annoy me, I may tell them what I think of them. PX640701_Aggression_Tell_What_Ithink 1::5 1=Extremely uncharacteristic; 2=Somewhat uncharacteristic; 3=Neither uncharacteristic nor characteristic; 4=Somewhat characteristic; 5=Extremely characteristic bpaq_12
Query agression_argue Integer Recommended I can't help getting into arguments when people disagree with me. PX640701_Aggression_Arguments_Disagree 1::5 1=Extremely uncharacteristic; 2=Somewhat uncharacteristic; 3=Neither uncharacteristic nor characteristic; 4=Somewhat characteristic; 5=Extremely characteristic bpaq_13
Query anger_argue Integer Recommended My friends say that I'm somewhat argumentative. PX640701_Anger_Argumentative 1::5 1=Extremely uncharacteristic; 2=Somewhat uncharacteristic; 3=Neither uncharacteristic nor characteristic; 4=Somewhat characteristic; 5=Extremely characteristic bpaq_14
Query anger_flareup Integer Recommended I flare up quickly but get over it quickly. PX640701_Anger_Flare_Up_Quickly 1::5 1=Extremely uncharacteristic; 2=Somewhat uncharacteristic; 3=Neither uncharacteristic nor characteristic; 4=Somewhat characteristic; 5=Extremely characteristic bpaq_15
Query anger_frustrated Integer Recommended When frustrated, I let my irritation show. PX640701_Anger_Frustrated_Show_Irritation 1::5 1=Extremely uncharacteristic; 2=Somewhat uncharacteristic; 3=Neither uncharacteristic nor characteristic; 4=Somewhat characteristic; 5=Extremely characteristic bpaq_16
Query anger_explode Integer Recommended I sometimes feel like a powder keg ready to explode. PX640701_Anger_Feel_Ready_ToExplode 1::5 1=Extremely uncharacteristic; 2=Somewhat uncharacteristic; 3=Neither uncharacteristic nor characteristic; 4=Somewhat characteristic; 5=Extremely characteristic bpaq_17
Query anger_eventempered Integer Recommended I am an even-tempered person PX640701_Anger_Even-Tempered 1::5 1=Extremely uncharacteristic; 2=Somewhat uncharacteristic; 3=Neither uncharacteristic nor characteristic; 4=Somewhat characteristic; 5=Extremely characteristic bpaq_18
Query anger_hothead Integer Recommended Some of my friends think I'm a hothead. PX640701_Anger_Hothead 1::5 1=Extremely uncharacteristic; 2=Somewhat uncharacteristic; 3=Neither uncharacteristic nor characteristic; 4=Somewhat characteristic; 5=Extremely characteristic bpaq_19
Query anger_flyoff Integer Recommended Sometimes I fly off the handle for no good reason. PX640701_Anger_Fly_Off_Handle 1::5 1=Extremely uncharacteristic; 2=Somewhat uncharacteristic; 3=Neither uncharacteristic nor characteristic; 4=Somewhat characteristic; 5=Extremely characteristic bpaq_20
Query hostility_control Integer Recommended I have trouble controlling my temper. PX640701_Hostility_Trouble_Controlling_Temper 1::5 1=Extremely uncharacteristic; 2=Somewhat uncharacteristic; 3=Neither uncharacteristic nor characteristic; 4=Somewhat characteristic; 5=Extremely characteristic bpaq_21
Query hostility_jealous Integer Recommended I am sometimes eaten up with jealousy. PX640701_Hostility_Sometimes_Jealous 1::5 1=Extremely uncharacteristic; 2=Somewhat uncharacteristic; 3=Neither uncharacteristic nor characteristic; 4=Somewhat characteristic; 5=Extremely characteristic bpaq_22
Query hostility_rawdeal Integer Recommended At times I feel I have gotten a raw deal out of life. PX640701_Hostility_Raw_Deal_OfLife 1::5 1=Extremely uncharacteristic; 2=Somewhat uncharacteristic; 3=Neither uncharacteristic nor characteristic; 4=Somewhat characteristic; 5=Extremely characteristic bpaq_23
Query hostility_other_breaks Integer Recommended Other people always seem to get the breaks. PX640701_Hostility_Others_Get_Breaks 1::5 1=Extremely uncharacteristic; 2=Somewhat uncharacteristic; 3=Neither uncharacteristic nor characteristic; 4=Somewhat characteristic; 5=Extremely characteristic bpaq_24
Query hostility_bitter Integer Recommended I wonder why sometimes I feel so bitter about things. PX640701_HostilityBitter 1::5 1=Extremely uncharacteristic; 2=Somewhat uncharacteristic; 3=Neither uncharacteristic nor characteristic; 4=Somewhat characteristic; 5=Extremely characteristic bpaq_25
Query hostility_friends Integer Recommended I know that "friends" talk about me behind my back. PX640701_Hostility_Friends_Talk_AboutMe 1::5 1=Extremely uncharacteristic; 2=Somewhat uncharacteristic; 3=Neither uncharacteristic nor characteristic; 4=Somewhat characteristic; 5=Extremely characteristic bpaq_26
Query hostility_suspicious Integer Recommended I am suspicious of overly friendly strangers. PX640701_Hostility_Suspicious_Of_Strangers 1::5 1=Extremely uncharacteristic; 2=Somewhat uncharacteristic; 3=Neither uncharacteristic nor characteristic; 4=Somewhat characteristic; 5=Extremely characteristic bpaq_27
Query hostility_laughing Integer Recommended I sometimes feel that people are laughing at me behind me back. PX640701_Hostility_People_Laughing_AtMe 1::5 1=Extremely uncharacteristic; 2=Somewhat uncharacteristic; 3=Neither uncharacteristic nor characteristic; 4=Somewhat characteristic; 5=Extremely characteristic bpaq_28
Query hostility_nice Integer Recommended When people are especially nice, I wonder what they want. PX640701_Hostility_People_Nice_Iwonder 1::5 1=Extremely uncharacteristic; 2=Somewhat uncharacteristic; 3=Neither uncharacteristic nor characteristic; 4=Somewhat characteristic; 5=Extremely characteristic bpaq_29
Query bpaq_pas Integer Recommended Physical Aggression score 9::45 items 1-9
Query bpaq_vas Integer Recommended Verbal Aggression score 5::25 items 10-14
Query bpaq_as Integer Recommended Anger score 7::35 items 15-21
Query bpaq_hs Integer Recommended Hostility Score 8::40 items 22-29
Query agression_score Integer Recommended Physical Aggression score. PX640701_Aggression_Score 1::145 Physical Aggression subscale: items 1-9. Verbal Aggression subscale: items 10-14. Anger subscale: items 15-21. Hostility subscale: items 22-29. The score for each scale is the sum or the ratings for its items. The two items (7 and 18) worded in the direction opposite to aggression are reverse-scored. The total score for aggression is the sum of these scale scores. Higher scores indicate higher aggressive behavior. PX640701_Aggression_Score
aqsf08 Integer Recommended Given enough provocation, I may hit another person 1::6 1=extremely unlike me; 6=extremely like me
aqsf09 Integer Recommended I can?t help getting into arguments when people disagree with me 1::6 1=extremely unlike me; 6=extremely like me
aqsf10 Integer Recommended Other people always seem to get the breaks 1::6 1=extremely unlike me; 6=extremely like me
aqsf11 Integer Recommended There are people who pushed me so far that we came to blows 1::6 1=extremely unlike me; 6=extremely like me
aqsf12 Integer Recommended Sometimes I fly off the handle for no good reason 1::6 1=extremely unlike me; 6=extremely like me
aqsf01 Integer Recommended I often find myself disagreeing with people 1::6 1=extremely unlike me; 6=extremely like me
aqsf02 Integer Recommended At times I feel I have gotten a raw deal out of life 1::6 1=extremely unlike me; 6=extremely like me
aqsf03 Integer Recommended I have threatened people I know 1::6 1=extremely unlike me; 6=extremely like me
aqsf04 Integer Recommended I wonder why sometimes I feel so bitter about things 1::6 1=extremely unlike me; 6=extremely like me
aqsf05 Integer Recommended I have trouble controlling my temper 1::6 1=extremely unlike me; 6=extremely like me
aqsf06 Integer Recommended My friends say I am somewhat argumentative 1::6 1=extremely unlike me; 6=extremely like me
aqsf07 Integer Recommended I flare up quickly but get over it quickly 1::6 1=extremely unlike me; 6=extremely like me
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.