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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). 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.

  • 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. 

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Cognitive Triad Inventory for Children

431 Shared Subjects

N/A
Clinical Assessments
Cognitive
12/30/2014
cti01

View Change History
01
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 patid
interview_date Date Required Date on which the interview/genetic test/sampling/imaging/biospecimen was completed. MM/DD/YYYY Required field
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 asstyp Integer Recommended Assessment type 1::20 1=TADS GATE A; 2=TADS GATE B; 3 = TADS Gate C; 4 = TADS Week 6; 5 = TADS Week 12; 6 = TADS Week 18; 7 = TADS Week 24; 8 = TADS Week 30; 9 = TADS Week 36; 10 = TADS F/U Mo 3; 11 = TADS F/U Mo 6; 12 = TADS F/U Mo 9; 13 = TADS F/U Mo 12; 14 = SOFTAD month 6; 15 = SOFTAD month 12; 16 = SOFTAD month 18; 17 = SOFTAD month 24; 18 = SOFTAD month 30; 19 = SOFTAD month 36; 20 = SOFTAD month 42
Query stage Integer Recommended Study stage
0::5; 51::53; 67; -888; -999
0 = Pre-Randomization (TADS) 1 = Stage 1 (TADS) 2 = Stage 2 (TADS) 3 = Stage 3 (TADS) 4 = Stage 4 (TADS) 5 = Stage 5 (SOFTAD); 51=Treatmentas Usual; 52=Screening Alone; 53=Intervention; 67=Unknown; -888=Not Applicable; -999=Missing;
Query bsit0 Float Recommended Weeks from Time 0/baseline to assessment ctit0
Query cti1_u Integer Recommended Question 1. I do well at many different things 0::2 2 = Yes 1 = Maybe 0 = No
Query cti2_u Integer Recommended Question 2. Schoolwork is fun 0::2 2 = Yes 1 = Maybe 0 = No
Query cti3_u Integer Recommended Question 3. Most people are friendly and helpful 0::2 2 = Yes 1 = Maybe 0 = No
Query cti4_u Integer Recommended Question 4. I am a failure 0::2 0 = Yes 1 = Maybe 2 = No
Query cti5_u Integer Recommended Question 5. I do my schoolwork okay 0::2 2 = Yes 1 = Maybe 0 = No
Query cti6_u Integer Recommended Question 6. The people I know help me when I need it 0::2 2 = Yes 1 = Maybe 0 = No
Query cti7_u Integer Recommended Question 7. I have messed up almost all the best friendships I have ever had 0::2 0 = Yes 1 = Maybe 2 = No
Query cti8_u Integer Recommended Question 8. The things I do every day are fun 0::2 2 = Yes 1 = Maybe 0 = No
Query cti9_u Integer Recommended Question 9. I can't do anything right now 0::2 0 = Yes 1 = Maybe 2 = No
Query cti10_u Integer Recommended Question 10. People like me 0::2 2 = Yes 1 = Maybe 0 = No
Query cti11_u Integer Recommended Question 11. I am as good as other people I know 0::2 2 = Yes 1 = Maybe 0 = No
Query cti12_u Integer Recommended Question 12. The world is a very mean place 0::2 0 = Yes 1 = Maybe 2 = No
Query cti13_u Integer Recommended Question 13. The important people in my life are helpful and nice to me 0::2 2 = Yes 1 = Maybe 0 = No
Query cti14_u Integer Recommended Question 14. I hate myself 0::2 0 = Yes 1 = Maybe 2 = No
Query cti15_u Integer Recommended Question 15. Bad things happen to me a lot 0::2 0 = Yes 1 = Maybe 2 = No
Query cti16_u Integer Recommended Question 16. I have a friend who is nice and helpful to me 0::2 2 = Yes 1 = Maybe 0 = No
Query cti17_u Integer Recommended Question 17. I can do a lot of things well 0::2 2 = Yes 1 = Maybe 0 = No
Query cti18_u Integer Recommended Question 18. My family doesn't care what happens to me 0::2 0 = Yes 1 = Maybe 2 = No
Query cti19_u Integer Recommended Question 19. I feel guilty for a lot of things 0::2 0 = Yes 1 = Maybe 2 = No
Query cti20_u Integer Recommended Question 20. No matter what I do, other people make it hard for me to get what I need 0::2 0 = Yes 1 = Maybe 2 = No
Query cti21_u Integer Recommended Question 21. I am a good person 0::2 2 = Yes 1 = Maybe 0 = No
Query cti22_u Integer Recommended Question 22. I like myself 0::2 2 = Yes 1 = Maybe 0 = No
Query cti23_u Integer Recommended Question 23. I am faced with many difficulties 0::2 0 = Yes 1 = Maybe 2 = No
Query cti24_u Integer Recommended Question 24. I have problems with my personality 0::2 0 = Yes 1 = Maybe 2 = No
Query cti1 Integer Recommended Question 1. I do well at many different things (Imputed Version). Imputation Rule: if less than 3 of CTI1_U, CTI4_U, CTI5_U, CTI7_U, CTI9_U, CTI11_U, CTI14_U, CTI17_U, CTI19_U, CTI21_U, CTI22_U, CTI24_U are missing and CTI1 missing then CTI1 = integer(median of non-missing of (CTI1_U, CTI4_U, CTI5_U, CTI7_U, CTI9_U, CTI11_U, CTI14_U, CTI17_U, CTI19_U, CTI21_U, CTI22_U, CTI24_U)) 0::2 2 = Yes 1 = Maybe 0 = No
Query cti2 Integer Recommended Question 2. Schoolwork is fun (Imputed Version). Imputation Rule: if less than 3 of CTI2_U, CTI3_U, CTI6_U, CTI8_U, CTI10_U, CTI12_U, CTI13_U, CTI15_U, CTI16_U, CTI18_U, CTI20_U, CTI23_U are missing and CTI2 missing then CTI2 = integer(median of non-missing (CTI2_U, CTI3_U, CTI6_U, CTI8_U, CTI10_U, CTI12_U, CTI13_U, CTI15_U, CTI16_U, CTI18_U, CTI20_U, CTI23_U)) 0::2 2 = Yes 1 = Maybe 0 = No
Query cti3 Integer Recommended Question 3. Most people are friendly and helpful (Imputed Version). Imputation Rule: if less than 3 of CTI2_U, CTI3_U, CTI6_U, CTI8_U, CTI10_U, CTI12_U, CTI13_U, CTI15_U, CTI16_U, CTI18_U, CTI20_U, CTI23_U are missing and CTI3 missing then CTI3 = integer(median of non-missing (CTI2_U, CTI3_U, CTI6_U, CTI8_U, CTI10_U, CTI12_U, CTI13_U, CTI15_U, CTI16_U, CTI18_U, CTI20_U, CTI23_U)) 0::2 2 = Yes 1 = Maybe 0 = No
Query cti4 Integer Recommended Question 4. I am a failure (Imputed Version). Imputation Rule: if less than 3 of CTI1_U, CTI4_U, CTI5_U, CTI7_U, CTI9_U, CTI11_U, CTI14_U, CTI17_U, CTI19_U, CTI21_U, CTI22_U, CTI24_U are missing and CTI4 missing then CTI4 = integer(median of non-missing of (CTI1_U, CTI4_U, CTI5_U, CTI7_U, CTI9_U, CTI11_U, CTI14_U, CTI17_U, CTI19_U, CTI21_U, CTI22_U, CTI24_U)) 0::2 0 = Yes 1 = Maybe 2 = No
Query cti5 Integer Recommended Question 5. I do my schoolwork okay (Imputed Version). Imputation Rule: if less than 3 of CTI1_U, CTI4_U, CTI5_U, CTI7_U, CTI9_U, CTI11_U, CTI14_U, CTI17_U, CTI19_U, CTI21_U, CTI22_U, CTI24_U are missing and CTI5 missing then CTI5 = integer(median of non-missing of (CTI1_U, CTI4_U, CTI5_U, CTI7_U, CTI9_U, CTI11_U, CTI14_U, CTI17_U, CTI19_U, CTI21_U, CTI22_U, CTI24_U)) 0::2 2 = Yes 1 = Maybe 0 = No
Query cti6 Integer Recommended Question 6. The people I know help me when I need it (Imputed Version). Imputation Rule: if less than 3 of CTI2_U, CTI3_U, CTI6_U, CTI8_U, CTI10_U, CTI12_U, CTI13_U, CTI15_U, CTI16_U, CTI18_U, CTI20_U, CTI23_U are missing and CTI6 missing then CTI6 = integer(median of non-missing (CTI2_U, CTI3_U, CTI6_U, CTI8_U, CTI10_U, CTI12_U, CTI13_U, CTI15_U, CTI16_U, CTI18_U, CTI20_U, CTI23_U)) 0::2 2 = Yes 1 = Maybe 0 = No
Query cti7 Integer Recommended Question 7. I have messed up almost all the best friendships I have ever had (Imputed Version). Imputation Rule: if less than 3 of CTI1_U, CTI4_U, CTI5_U, CTI7_U, CTI9_U, CTI11_U, CTI14_U, CTI17_U, CTI19_U, CTI21_U, CTI22_U, CTI24_U are missing and CTI7 missing then CTI7 = integer(median of non-missing of (CTI1_U, CTI4_U, CTI5_U, CTI7_U, CTI9_U, CTI11_U, CTI14_U, CTI17_U, CTI19_U, CTI21_U, CTI22_U, CTI24_U)) 0::2 0 = Yes 1 = Maybe 2 = No
Query cti8 Integer Recommended Question 8. The things I do every day are fun (Imputed Version). Imputation Rule: if less than 3 of CTI2_U, CTI3_U, CTI6_U, CTI8_U, CTI10_U, CTI12_U, CTI13_U, CTI15_U, CTI16_U, CTI18_U, CTI20_U, CTI23_U are missing and CTI8 missing then CTI8 = integer(median of non-missing (CTI2_U, CTI3_U, CTI6_U, CTI8_U, CTI10_U, CTI12_U, CTI13_U, CTI15_U, CTI16_U, CTI18_U, CTI20_U, CTI23_U)) 0::2 2 = Yes 1 = Maybe 0 = No
Query cti9 Integer Recommended Question 9. I can't do anything right now (Imputed Version). Imputation Rule: if less than 3 of CTI1_U, CTI4_U, CTI5_U, CTI7_U, CTI9_U, CTI11_U, CTI14_U, CTI17_U, CTI19_U, CTI21_U, CTI22_U, CTI24_U are missing and CTI9 missing then CTI9 = integer(median of non-missing of (CTI1_U, CTI4_U, CTI5_U, CTI7_U, CTI9_U, CTI11_U, CTI14_U, CTI17_U, CTI19_U, CTI21_U, CTI22_U, CTI24_U)) 0::2 0 = Yes 1 = Maybe 2 = No
Query cti10 Integer Recommended Question 10. People like me (Imputed Version). Imputation Rule: if less than 3 of CTI2_U, CTI3_U, CTI6_U, CTI8_U, CTI10_U, CTI12_U, CTI13_U, CTI15_U, CTI16_U, CTI18_U, CTI20_U, CTI23_U are missing and CTI10 missing then CTI10 = integer(median of non-missing (CTI2_U, CTI3_U, CTI6_U, CTI8_U, CTI10_U, CTI12_U, CTI13_U, CTI15_U, CTI16_U, CTI18_U, CTI20_U, CTI23_U)) 0::2 2 = Yes 1 = Maybe 0 = No
Query cti11 Integer Recommended Question 11. I am as good as other people I know (Imputed Version). Imputation Rule: if less than 3 of CTI1_U, CTI4_U, CTI5_U, CTI7_U, CTI9_U, CTI11_U, CTI14_U, CTI17_U, CTI19_U, CTI21_U, CTI22_U, CTI24_U are missing and CTI11 missing then CTI11 = integer(median of non-missing of (CTI1_U, CTI4_U, CTI5_U, CTI7_U, CTI9_U, CTI11_U, CTI14_U, CTI17_U, CTI19_U, CTI21_U, CTI22_U, CTI24_U)) 0::2 2 = Yes 1 = Maybe 0 = No
Query cti12 Integer Recommended Question 12. The world is a very mean place (Imputed Version). Imputation Rule: if less than 3 of CTI2_U, CTI3_U, CTI6_U, CTI8_U, CTI10_U, CTI12_U, CTI13_U, CTI15_U, CTI16_U, CTI18_U, CTI20_U, CTI23_U are missing and CTI12 missing then CTI12 = integer(median of non-missing (CTI2_U, CTI3_U, CTI6_U, CTI8_U, CTI10_U, CTI12_U, CTI13_U, CTI15_U, CTI16_U, CTI18_U, CTI20_U, CTI23_U)) 0::2 0 = Yes 1 = Maybe 2 = No
Query cti13 Integer Recommended Question 13. The important people in my life are helpful and nice to me (Imputed Version). Imputation Rule: if less than 3 of CTI2_U, CTI3_U, CTI6_U, CTI8_U, CTI10_U, CTI12_U, CTI13_U, CTI15_U, CTI16_U, CTI18_U, CTI20_U, CTI23_U are missing and CTI13 missing then CTI13 = integer(median of non-missing (CTI2_U, CTI3_U, CTI6_U, CTI8_U, CTI10_U, CTI12_U, CTI13_U, CTI15_U, CTI16_U, CTI18_U, CTI20_U, CTI23_U)) 0::2 2 = Yes 1 = Maybe 0 = No
Query cti14 Integer Recommended Question 14. I hate myself (Imputed Version). Imputation Rule: if less than 3 of CTI1_U, CTI4_U, CTI5_U, CTI7_U, CTI9_U, CTI11_U, CTI14_U, CTI17_U, CTI19_U, CTI21_U, CTI22_U, CTI24_U are missing and CTI14 missing then CTI14 = integer(median of non-missing of (CTI1_U, CTI4_U, CTI5_U, CTI7_U, CTI9_U, CTI11_U, CTI14_U, CTI17_U, CTI19_U, CTI21_U, CTI22_U, CTI24_U)) 0::2 0 = Yes 1 = Maybe 2 = No
Query cti15 Integer Recommended Question 15. Bad things happen to me a lot (Imputed Version). Imputation Rule: if less than 3 of CTI2_U, CTI3_U, CTI6_U, CTI8_U, CTI10_U, CTI12_U, CTI13_U, CTI15_U, CTI16_U, CTI18_U, CTI20_U, CTI23_U are missing and CTI15 missing then CTI15 = integer(median of non-missing (CTI2_U, CTI3_U, CTI6_U, CTI8_U, CTI10_U, CTI12_U, CTI13_U, CTI15_U, CTI16_U, CTI18_U, CTI20_U, CTI23_U)) 0::2 0 = Yes 1 = Maybe 2 = No
Query cti16 Integer Recommended Question 16. I have a friend who is nice and helpful to me (Imputed Version). Imputation Rule: if less than 3 of CTI2_U, CTI3_U, CTI6_U, CTI8_U, CTI10_U, CTI12_U, CTI13_U, CTI15_U, CTI16_U, CTI18_U, CTI20_U, CTI23_U are missing and CTI16 missing then CTI16 = integer(median of non-missing (CTI2_U, CTI3_U, CTI6_U, CTI8_U, CTI10_U, CTI12_U, CTI13_U, CTI15_U, CTI16_U, CTI18_U, CTI20_U, CTI23_U)) 0::2 2 = Yes 1 = Maybe 0 = No
Query cti17 Integer Recommended Question 17. I can do a lot of things well (Imputed Version). Imputation Rule: if less than 3 of CTI1_U, CTI4_U, CTI5_U, CTI7_U, CTI9_U, CTI11_U, CTI14_U, CTI17_U, CTI19_U, CTI21_U, CTI22_U, CTI24_U are missing and CTI17 missing then CTI17 = integer(median of non-missing of (CTI1_U, CTI4_U, CTI5_U, CTI7_U, CTI9_U, CTI11_U, CTI14_U, CTI17_U, CTI19_U, CTI21_U, CTI22_U, CTI24_U)) 0::2 2 = Yes 1 = Maybe 0 = No
Query cti18 Integer Recommended Question 18. My family doesn't care what happens to me (Imputed Version). Imputation Rule: if less than 3 of CTI2_U, CTI3_U, CTI6_U, CTI8_U, CTI10_U, CTI12_U, CTI13_U, CTI15_U, CTI16_U, CTI18_U, CTI20_U, CTI23_U are missing and CTI18 missing then CTI18 = integer(median of non-missing (CTI2_U, CTI3_U, CTI6_U, CTI8_U, CTI10_U, CTI12_U, CTI13_U, CTI15_U, CTI16_U, CTI18_U, CTI20_U, CTI23_U)) 0::2 0 = Yes 1 = Maybe 2 = No
Query cti19 Integer Recommended Question 19. I feel guilty for a lot of things (Imputed Version). Imputation Rule: if less than 3 of CTI1_U, CTI4_U, CTI5_U, CTI7_U, CTI9_U, CTI11_U, CTI14_U, CTI17_U, CTI19_U, CTI21_U, CTI22_U, CTI24_U are missing and CTI19 missing then CTI19 = integer(median of non-missing of (CTI1_U, CTI4_U, CTI5_U, CTI7_U, CTI9_U, CTI11_U, CTI14_U, CTI17_U, CTI19_U, CTI21_U, CTI22_U, CTI24_U)) 0::2 0 = Yes 1 = Maybe 2 = No
Query cti20 Integer Recommended Question 20. No matter what I do, other people make it hard for me to get what I need (Imputed Version). Imputation Rule: if less than 3 of CTI2_U, CTI3_U, CTI6_U, CTI8_U, CTI10_U, CTI12_U, CTI13_U, CTI15_U, CTI16_U, CTI18_U,CTI20_U, CTI23_U are missing and CTI20 missing then CTI20 = integer(median of non-missing (CTI2_U, CTI3_U, CTI6_U, CTI8_U, CTI10_U, CTI12_U, CTI13_U, CTI15_U, CTI16_U, CTI18_U, CTI20_U, CTI23_U)) 0::2 0 = Yes 1 = Maybe 2 = No
Query cti21 Integer Recommended Question 21. I am a good person (Imputed Version). Imputation Rule: if less than 3 of CTI1_U, CTI4_U, CTI5_U, CTI7_U, CTI9_U, CTI11_U, CTI14_U, CTI17_U, CTI19_U, CTI21_U, CTI22_U, CTI24_U are missing and CTI21 missing then CTI21 = integer(median of non-missing of (CTI1_U, CTI4_U, CTI5_U, CTI7_U, CTI9_U, CTI11_U, CTI14_U, CTI17_U, CTI19_U, CTI21_U, CTI22_U, CTI24_U)) 0::2 2 = Yes 1 = Maybe 0 = No
Query cti22 Integer Recommended Question 22. I like myself (Imputed Version). Imputation Rule: if less than 3 of CTI1_U, CTI4_U, CTI5_U, CTI7_U, CTI9_U, CTI11_U, CTI14_U, CTI17_U, CTI19_U, CTI21_U, CTI22_U, CTI24_U are missing and CTI22 missing then CTI22 = integer(median of non-missing of (CTI1_U, CTI4_U, CTI5_U, CTI7_U, CTI9_U, CTI11_U, CTI14_U, CTI17_U, CTI19_U, CTI21_U, CTI22_U, CTI24_U)) 0::2 2 = Yes 1 = Maybe 0 = No
Query cti23 Integer Recommended Question 23. I am faced with many difficulties (Imputed Version). Imputation Rule: if less than 3 of CTI2_U, CTI3_U, CTI6_U, CTI8_U, CTI10_U, CTI12_U, CTI13_U, CTI15_U, CTI16_U, CTI18_U, CTI20_U, CTI23_U are missing and CTI23 missing then CTI23 = integer(median of non-missing (CTI2_U, CTI3_U, CTI6_U, CTI8_U, CTI10_U, CTI12_U, CTI13_U, CTI15_U, CTI16_U, CTI18_U, CTI20_U, CTI23_U)) 0::2 0 = Yes 1 = Maybe 2 = No
Query cti24 Integer Recommended Question 24. I have problems with my personality (Imputed Version). Imputation Rule: if less than 3 of CTI1_U, CTI4_U, CTI5_U, CTI7_U, CTI9_U, CTI11_U, CTI14_U, CTI17_U, CTI19_U, CTI21_U, CTI22_U, CTI24_U are missing and CTI24 missing then CTI24 = integer(median of non-missing of (CTI1_U, CTI4_U, CTI5_U, CTI7_U, CTI9_U, CTI11_U, CTI14_U, CTI17_U, CTI19_U, CTI21_U, CTI22_U, CTI24_U)) 0::2 0 = Yes 1 = Maybe 2 = No
Query ctiself Integer Recommended View of the Self Scale using imputed values 0::24 Items included in score: CTI1, CTI4, CTI5, CTI7, CTI9, CTI11, CTI14, CTI17, CTI19, CTI21, CTI22, CTI24
Query ctiworld Integer Recommended View of the World Scale using imputed values 0::24 Items included in score: CTI2, CTI3, CTI6, CTI8, CTI10, CTI12, CTI13, CTI15, CTI16, CTI18, CTI20, CTI23
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.