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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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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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Data Structures with shared data
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Sum Scores Mental Health Parent

11,869 Shared Subjects

Mental health summary scores, parent surveys
Clinical Assessments
Summary
01/12/2019
abcd_mhp02
05/06/2020
View Change History
02
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_age Integer Recommended 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.
interview_date Date Recommended Date on which the interview/genetic test/sampling/imaging/biospecimen was completed. MM/DD/YYYY Required field
sex String 20 Recommended Sex of the subject M;F; O; NR M = Male; F = Female; O=Other; NR = Not reported gender
eventname String 60 Recommended The event name for which the data was collected
Query pgbi_p_ss_score Integer Recommended Parent General Behavior Inventory SUM: gen_child_behav_1 + gen_child_behav_2 + gen_child_behav_3 + gen_child_behav_4 + gen_child_behav_5 + gen_child_behav_6 + gen_child_behav_7 + gen_child_behav_8 + gen_child_behav_9 + gen_child_behav_10; Validation: All items must be answered Youngstrom, E. A., Frazier, T. W., et al. (2008) Developing a 10-item mania scale from the Parent General Behavior Inventory for children and adolescents. æJ Clin Psychiatry 9(5): 831-839. pgbi_ss_score_p
Query pgbi_p_ss_score_nm Integer Recommended Parent General Behavior Inventory, Sum: Number Missing Answers pgbi_ss_score_nm_p
Query pgbi_p_ss_score_nt Integer Recommended Parent General Behavior Inventory, Sum: Number Total Questions pgbi_ss_score_nt_p
Query ple_p_ss_total_number Float Recommended Total Number of Events : Validation: No Minimum Calculation: sum( [ple_died_p], [ple_injured_p], [ple_crime_p], [ple_friend_p], [ple_friend_injur_p], [ple_financial_p], [ple_sud_p], [ple_ill_p], [ple_injur_p], [ple_argue_p], [ple_job_p], [ple_away_p], [ple_arrest_p], [ple_friend_died_p], [ple_mh_p], [ple_sib_p], [ple_victim_p], [ple_separ_p], [ple_law_p], [ple_school_p], [ple_move_p], [ple_jail_p], [ple_step_p], [ple_new_job_p], [ple_new_sib_p] ) life_events_phenx_ss_total_number_p
Query ple_p_ss_total_number_nm Integer Recommended Total Number of Events: Number Missing Answers life_events_phenx_ss_total_number_nm_p
Query ple_p_ss_total_number_nt Integer Recommended Total Number of Events : Number Total Questions life_events_phenx_ss_total_number_nt_p
Query ple_p_ss_total_good Float Recommended Total Number of Good Events : Validation: No Minimum Calculation: if([ple_died_fu_p] = '1',1,0) plus if([ple_injured_fu_p] = '1',1,0) plus if([ple_crime_fu_p]= '1',1,0) plus if([ple_friend_fu_p]= '1',1,0) plus if([ple_friend_injur_fu_p]= '1',1,0) plus if([ple_financial_fu_p]= '1',1,0) plus if([ple_sud_fu_p]= '1',1,0) plus if([ple_ill_fu_p]= '1',1,0) plus if([ple_injur_fu_p]= '1',1,0) plus if([ple_argue_fu_p]= '1',1,0) plus if([ple_job_fu_p]= '1',1,0) plus if([ple_away_fu_p]= '1',1,0) plus if([ple_arrest_fu_p]= '1',1,0) plus if([ple_friend_died_fu_p]= '1',1,0) plus if([ple_mh_fu_p]= '1',1,0) plus if([ple_sib_fu_p]= '1',1,0) plus if([ple_victim_fu_p]= '1',1,0) plus if([ple_separ_fu_p]= '1',1,0) plus if([ple_law_fu_p]= '1',1,0) plus if([ple_school_fu_p]= '1',1,0) plus if([ple_move_fu_p]= '1',1,0) plus if([ple_jail_fu_p]= '1',1,0) plus if([ple_step_fu_p]= '1',1,0) plus if([ple_new_job_fu_p]= '1',1,0) plus if([ple_new_sib_fu_p] = '1',1,0) life_events_phenx_ss_total_good_p
Query ple_p_ss_total_good_nt Integer Recommended Total Number of Good Events : Number Total Questions life_events_phenx_ss_total_good_nt_p
Query ple_p_ss_total_bad Float Recommended Total Number of Bad Events : Validation: No Minimum Calculation: if([ple_died_fu_p] = '2',1,0) plus if([ple_injured_fu_p] = '2',1,0) plus if([ple_crime_fu_p]= '2',1,0) plus if([ple_friend_fu_p]= '2',1,0) plus if([ple_friend_injur_fu_p]= '2',1,0) plus if([ple_financial_fu_p]= '2',1,0) plus if([ple_sud_fu_p]= '2',1,0) plus if([ple_ill_fu_p]= '2',1,0) plus if([ple_injur_fu_p]= '2',1,0) plus if([ple_argue_fu_p]= '2',1,0) plus if([ple_job_fu_p]= '2',1,0) plus if([ple_away_fu_p]= '2',1,0) plus if([ple_arrest_fu_p]= '2',1,0) plus if([ple_friend_died_fu_p]= '2',1,0) plus if([ple_mh_fu_p]= '2',1,0) plus if([ple_sib_fu_p]= '2',1,0) plus if([ple_victim_fu_p]= '2',1,0) plus if([ple_separ_fu_p]= '2',1,0) plus if([ple_law_fu_p]= '2',1,0) plus if([ple_school_fu_p]= '2',1,0) plus if([ple_move_fu_p]= '2',1,0) plus if([ple_jail_fu_p]= '2',1,0) plus if([ple_step_fu_p]= '2',1,0) plus if([ple_new_job_fu_p]= '2',1,0) plus if([ple_new_sib_fu_p] = '2',1,0) life_events_phenx_ss_total_bad_p
Query ple_p_ss_total_bad_nt Integer Recommended Total Number of Bad Events : Number Total Questions life_events_phenx_ss_total_bad_nt_p
Query ple_p_ss_affected_good_sum Float Recommended How Much Affected Good: Validation: No Minimum Calculation: if([ple_died_fu_p] = '1',[ple_died_fu2_p],0) plus if([ple_injured_fu_p] = '1',[ple_injured_fu2_p],0) plus if([ple_crime_fu_p]= '1',[ple_crime_fu2_p],0) plus if([ple_friend_fu_p]= '1',[ple_friend_fu2_p],0) plus if([ple_friend_injur_fu_p] = '1',[ple_friend_injur_fu2_p],0) plus if([ple_financial_fu_p] = '1',[ple_financial_fu2_p],0) plus if([ple_sud_fu_p]= '1',[ple_sud_fu2_p],0) plus if([ple_ill_fu_p]= '1',[ple_ill_fu2_p],0) plus if([ple_injur_fu_p]= '1',[ple_injur_fu2_p],0) plus if([ple_argue_fu_p]= '1',[ple_argue_fu2_p],0) plus if([ple_job_fu_p]= '1',[ple_job_fu2_p],0) plus if([ple_away_fu_p]= '1',[ple_away_fu2_p],0) plus if([ple_arrest_fu_p]= '1',[ple_arrest_fu2_p],0) plus if([ple_friend_died_fu_p]= '1',[ple_friend_died_fu2_p],0) plus if([ple_mh_fu_p]= '1',[ple_mh_fu2_p],0) plus if([ple_sib_fu_p]= '1',[ple_sib_fu2_p],0) plus if([ple_victim_fu_p]= '1',[ple_victim_fu2_p],0) plus if([ple_separ_fu_p]= '1',[ple_separ_fu2_p],0) plus if([ple_law_fu_p]= '1',[ple_law_fu2_p],0) plus if([ple_school_fu_p]= '1',[ple_school_fu2_p],0) plus if([ple_move_fu_p]= '1',[ple_move_fu2_p],0) plus if([ple_jail_fu_p]= '1',[ple_jail_fu2_p],0) plus if([ple_step_fu_p]= '1',[ple_step_fu2_p],0) plus if([ple_new_job_fu_p]= '1',[ple_new_job_fu2_p],0) plus if([ple_new_sib_fu_p] = '1',[ple_new_sib_fu2_p],0) life_events_phenx_ss_affected_good_sum_p
Query ple_p_ss_affected_good_sum_nt Integer Recommended How Much Affected Good Sum : Number Total Questions life_events_phenx_ss_affected_good_sum_nt_p
Query ple_p_ss_affected_good_mean Float Recommended How Much Affected Good Mean : Validation: No Minimum Calculation: [ple_p_ss_affected_good_sum] / [ple_p_ss_total_good] life_events_phenx_ss_affected_good_mean_p
Query ple_p_ss_affected_good_mean_nt Integer Recommended How Much Affected Good Mean : Number Total Questions life_events_phenx_ss_affected_good_mean_nt_p
Query ple_p_ss_affected_bad_sum Float Recommended How Much Affected Bad Sum : Validation: No Minimum Calculation: if([ple_died_fu_p] = '2',[ple_died_fu2_p],0) plus if([ple_injured_fu_p] = '2',[ple_injured_fu2_p],0) plus if([ple_crime_fu_p]= '2',[ple_crime_fu2_p],0) plus if([ple_friend_fu_p]= '2',[ple_friend_fu2_p],0) plus if([ple_friend_injur_fu_p] = '2',[ple_friend_injur_fu2_p],0) plus if([ple_financial_fu_p]= '2',[ple_financial_fu2_p],0) plus if([ple_sud_fu_p]= '2',[ple_sud_fu2_p],0) plus if([ple_ill_fu_p]= '2',[ple_ill_fu2_p],0) plus if([ple_injur_fu_p]= '2',[ple_injur_fu2_p],0) plus if([ple_argue_fu_p]= '2',[ple_argue_fu2_p],0) plus if([ple_job_fu_p]= '2',[ple_job_fu2_p],0) plus if([ple_away_fu_p]= '2',[ple_away_fu2_p],0) plus if([ple_arrest_fu_p]= '2',[ple_arrest_fu2_p],0) plus if([ple_friend_died_fu_p]= '2',[ple_friend_died_fu2_p],0) plus if([ple_mh_fu_p]= '2',[ple_mh_fu2_p],0) plus if([ple_sib_fu_p]= '2',[ple_sib_fu2_p],0) plus if([ple_victim_fu_p]= '2',[ple_victim_fu2_p],0) plus if([ple_separ_fu_p]= '2',[ple_separ_fu2_p],0) plus if([ple_law_fu_p]= '2',[ple_law_fu2_p],0) plus if([ple_school_fu_p]= '2',[ple_school_fu2_p],0) plus if([ple_move_fu_p]= '2',[ple_move_fu2_p],0) plus if([ple_jail_fu_p]= '2',[ple_jail_fu2_p],0) plus if([ple_step_fu_p]= '2',[ple_step_fu2_p],0) plus if([ple_new_job_fu_p]= '2',[ple_new_job_fu2_p],0) plus if([ple_new_sib_fu_p] = '2',[ple_new_sib_fu2_p],0) life_events_phenx_ss_affected_bad_sum_p
Query ple_p_ss_affected_bad_sum_nt Float Recommended How Much Affected Bad Sum : Number Total Questions life_events_phenx_ss_affected_bad_sum_nt_p
Query ple_p_ss_affected_bad_mean Float Recommended How Much Affected Bad Mean : Validation: No Minimum Calculation: [ple_p_ss_affected_bad_sum] / [ple_p_ss_total_bad] life_events_phenx_ss_affected_bad_mean_p
Query ple_p_ss_affected_bad_mean_nt Integer Recommended How Much Affected Bad Mean : Number Total Questions life_events_phenx_ss_affected_bad_mean_nt_p
Query ple_p_ss_affected_mean Float Recommended How Much Affected Mean : Validation: No Minimum Calculation: mean( [ple_died_fu2_p], [ple_injured_fu2_p], [ple_crime_fu2_p], [ple_friend_fu2_p], [ple_friend_injur_fu2_p], [ple_financial_fu2_p], [ple_sud_fu2_p], [ple_ill_fu2_p], [ple_injur_fu2_p], [ple_argue_fu2_p], [ple_job_fu2_p], [ple_away_fu2_p], [ple_arrest_fu2_p], [ple_friend_died_fu2_p], [ple_mh_fu2_p], [ple_sib_fu2_p], [ple_victim_fu2_p], [ple_separ_fu2_p], [ple_law_fu2_p], [ple_school_fu2_p], [ple_move_fu2_p],[ple_jail_fu2_p], [ple_step_fu2_p], [ple_new_job_fu2_p], [ple_new_sib_fu2_p] ) life_events_phenx_ss_affected_mean_p
Query ple_p_ss_affected_mean_nt Integer Recommended How Much Affected Mean : Number Total Questions life_events_phenx_ss_affected_mean_nt_p
Query ple_p_ss_affect_sum Float Recommended How Much Affected Sum : Validation: No Minimum Calculation: sum( [ple_died_fu2_p], [ple_injured_fu2_p], [ple_crime_fu2_p], [ple_friend_fu2_p], [ple_friend_injur_fu2_p], [ple_financial_fu2_p], [ple_sud_fu2_p], [ple_ill_fu2_p], [ple_injur_fu2_p], [ple_argue_fu2_p], [ple_job_fu2_p], [ple_away_fu2_p], [ple_arrest_fu2_p], [ple_friend_died_fu2_p], [ple_mh_fu2_p], [ple_sib_fu2_p], [ple_victim_fu2_p], [ple_separ_fu2_p], [ple_law_fu2_p], [ple_school_fu2_p], [ple_move_fu2_p], [ple_jail_fu2_p], [ple_step_fu2_p], [ple_new_job_fu2_p], [ple_new_sib_fu2_p] ) life_events_phenx_ss_affect_sum_p
Query ple_p_ss_affect_sum_nt Integer Recommended How Much Affected Sum : Number Total Questions life_events_phenx_ss_affect_sum_nt_p
Query ssrs_p_ss_sum Integer Recommended SSRS sum[ssrs_15r, ssrs_6, ssrs_16, ssrs_18, ssrs_24, ssrs_29, ssrs_35, ssrs_37, ssrs_39, ssrs_42, ssrs_58] ; Validation: All items must be answered ssrs_ss_sum_p
Query ssrs_p_ss_sum_nm Integer Recommended SSRS Sum: Number Missing Questions ssrs_ss_sum_nm_p
Query ssrs_ss_sum_nt Integer Recommended SSRS Sum: Number Total Questions ssrs_ss_sum_nt_p
Query gish_p_ss_m_sum Integer Recommended GISH Male sum(gish_m1_p:gish_m14_p). Validation: All items must be answered gish_ss_m_sum_p
Query gish_p_ss_m_sum_nm Integer Recommended GISH Male Sum: Number Missing Questions gish_ss_m_sum_nm_p
Query gish_p_ss_m_sum_nt Integer Recommended GISH Male Sum : Number Total Questions gish_ss_m_sum_nt_p
Query gish_p_ss_f_sum Integer Recommended GISH Female sum(gish_f1_p:gish_f14_p). Validation: All items must be answered gish_ss_f_sum_p
Query gish_p_ss_f_sum_nm Integer Recommended GISH Female Sum: Number Missing Questions gish_ss_f_sum_nm_p
Query gish_p_ss_f_sum_nt Integer Recommended GISH Female Sum: Number Total Questions gish_ss_f_sum_nt_p
eatq_p_ss_aggression_nm Integer Recommended Parent aggression number missing eatq_phenx_ss_aggression_nm_p
eatq_p_ss_aggression_nt Integer Recommended PhenX Early Adolescent Temperament Q - Parent aggression number total eatq_phenx_ss_aggression_nt_p
eatq_p_ss_attention Float Recommended PhenX Early Adolescent Temperament Q - Parent attention; sum(eatq_phenx_concentrate_p, eatq_phenx_distracted_p, eatq_phenx_try_focus_p, eatq_phenx_peripheral_p, eatq_phenx_sidetracked_p, eatq_phenx_close_attention_p); Validation: Maximum of 1 item missing eatq_phenx_ss_attention_p
eatq_p_ss_attention_nm Integer Recommended Parent attention number missing eatq_phenx_ss_attention_nm_p
eatq_p_ss_attention_nt Integer Recommended PhenX Early Adolescent Temperament Q - Parent attention number total eatq_phenx_ss_attention_nt_p
eatq_p_ss_depressive_mood Float Recommended PhenX Early Adolescent Temperament Q - Parent depressive_mood; sum(eatq_phenx_enjoy_p, eatq_phenx_cry_p, eatq_phenx_sad_p, eatq_phenx_hardly_sad_p, eatq_phenx_seems_sad_p); Validation: Maximum of 1 item missing eatq_phenx_ss_depressive_p_mood
eatq_p_ss_depressive_mood_nm Integer Recommended PhenX Early Adolescent Temperament Q - Parent depressive_mood number missing eatq_phenx_ss_depressive_mood_nm_p
eatq_p_ss_depressive_mood_nt Integer Recommended PhenX Early Adolescent Temperament Q - Parent depressive_mood number total eatq_phenx_ss_depressive_mood_nt_p
eatq_p_ss_effort_cont_ss Float Recommended Super Scale Effortful Control Sum Score mean(eatq_p_ss_attention, eatq_p_ss_inhibitory,eatq_p_ss_activation); Validation: All three scores calculated eatq_phenx_ss_effort_cont_sup_scale_p
eatq_p_ss_effort_cont_ss_nm Integer Recommended Super Scale Effortful Control Sum Score Number Missing eatq_phenx_ss_effort_cont_sup_scale_nm_p
eatq_p_ss_effort_cont_ss_nt Integer Recommended Super Scale Effortful Control Sum Score Number Total eatq_phenx_ss_effort_cont_sup_scale_nt_p
eatq_p_ss_fear Float Recommended PhenX Early Adolescent Temperament Q - Parent fear; sum(eatq_phenx_trouble_p, eatq_phenx_attachment_p, eatq_phenx_ball_scared_p, eatq_phenx_dark_scared_p, eatq_phenx_alone_p, eatq_phenx_worry_p); Validation: Maximum of 1 item missing eatq_phenx_ss_fear_p
eatq_p_ss_fear_nm Integer Recommended Parent fear number missing eatq_phenx_ss_fear_nm_p
eatq_p_ss_fear_nt Integer Recommended PhenX Early Adolescent Temperament Q - Parent fear number total eatq_phenx_ss_fear_nt_p
eatq_p_ss_frustration Float Recommended PhenX Early Adolescent Temperament Q - Parent frustration ; sum(eatq_phenx_annoyed_p, eatq_phenx_irritated_crit_p, eatq_phenx_irritated_place_p, eatq_phenx_irritated_enjoy_p, eatq_phenx_disagree_p, eatq_phenx_frustrated_p); Validation: Maximum of 1 item missing eatq_phenx_ss_frustration_p
eatq_p_ss_frustration_nm Integer Recommended Parent frustration number missing eatq_phenx_ss_frustration_nm_p
eatq_p_ss_frustration_nt Integer Recommended PhenX Early Adolescent Temperament Q - Parent frustration number total eatq_phenx_ss_frustration_nt_p
eatq_p_ss_inhibitory Float Recommended PhenX Early Adolescent Temperament Q - Parent inhibitory; sum(eatq_phenx_turn_taking_p, eatq_phenx_open_present_p, eatq_phenx_impulse_p, eatq_phenx_laugh_control_p, eatq_phenx_stick_to_plan_p); Validation: Maximum of 1 item missing eatq_phenx_ss_inhibitory_p
eatq_p_ss_inhibitory_nm Integer Recommended Parent inhibitory number missing eatq_phenx_ss_inhibitory_nm_p
eatq_p_ss_inhibitory_nt Integer Recommended PhenX Early Adolescent Temperament Q - Parent inhibitory number total eatq_phenx_ss_inhibitory_nt_p
eatq_p_ss_activation Float Recommended PhenX Early Adolescent Temperament Q - Parent activation; sum(eatq_phenx_finish_p, eatq_phenx_deal_p, eatq_phenx_before_hw_p, eatq_phenx_right_away_p, eatq_phenx_finish_hw_p, eatq_phenx_early_start_p, eatq_phenx_puts_off_p); Validation: Maximum of 1 item missing eatq_phenx_ss_activation_p
eatq_p_ss_neg_affect_ss Float Recommended Super Scale Negative Affect mean(eatq_phenx_ss_frustration_p, eatq_phenx_ss_depressive_mood_p, eatq_phenx_ss_aggression_p); Validation: All three scores calculated eatq_phenx_ss_neg_affect_sup_scale_p
eatq_p_ss_neg_affect_ss_nm Integer Recommended Super Scale Negative Affect Number Missing eatq_phenx_ss_neg_affect_sup_scale_nm_p
eatq_p_ss_neg_affect_ss_nt Integer Recommended Super Scale Negative Affect Number Total eatq_phenx_ss_neg_affect_sup_scale_nt_p
eatq_p_ss_shyness Float Recommended PhenX Early Adolescent Temperament Q - Parent shyness; sum(eatq_phenx_social_p, eatq_phenx_is_shy_p, eatq_phenx_not_shy_p, eatq_phenx_meet_p, eatq_phenx_shy_meet_p); Validation: Maximum of 1 item missing eatq_phenx_ss_shyness_p
eatq_p_ss_shyness_nm Integer Recommended Parent shyness number missing eatq_phenx_ss_shyness_nm_p
eatq_p_ss_shyness_nt Integer Recommended PhenX Early Adolescent Temperament Q - Parent shyness number total eatq_phenx_ss_shyness_nt_p
eatq_p_ss_surgency Float Recommended PhenX Early Adolescent Temperament Q - Parent surgency; sum(eatq_phenx_africa_p, eatq_phenx_ski_slope_p, eatq_phenx_city_move_p, eatq_phenx_sea_dive_p, eatq_phenx_travel_p, eatq_phenx_race_car_p, eatq_phenx_school_excite_p, eatq_phenx_energized_p, eatq_phenx_rides_scared_p); Validation: Maximum of 1 item missing eatq_phenx_ss_surgency_p
eatq_p_ss_surgency_nm Integer Recommended Parent surgency number missing eatq_phenx_ss_surgency_nm_p
eatq_p_ss_surgency_nt Integer Recommended PhenX Early Adolescent Temperament Q - Parent surgency number total eatq_phenx_ss_surgency_nt_p
eatq_p_ss_surgency_ss Float Recommended Super Scale Surgency Sum Score mean(eatq_ss_surgency_sum_p of fear items (reverse scored), sum of shyness items (reverse scored); Validation: All three scores calculated eatq_phenx_ss_surgency_sup_scale_p
eatq_p_ss_activation_nm Integer Recommended Parent activation number missing eatq_phenx_ss_activation_nm_p
eatq_p_ss_surgency_ss_nm Integer Recommended Super Scale Surgency Number Missing eatq_phenx_ss_surgency_sup_scale_nm_p
eatq_p_ss_surgency_ss_nt Integer Recommended Super Scale Surgency Number Total eatq_phenx_ss_surgency_sup_scale_nt_p
gish_p_ss_f_sum2 Integer Recommended GISH Female Sum V2 (gish_f9_p, gish_f11_p removed from gish_p_ss_f_sum); Sum all female values = sum(gish_f1_p, gish_f2_p, gish_f3_p, gish_f4_p, gish_f5_p, gish_f6_p, gish_f7_p, gish_f8_p, gish_f10_p, gish_f12_p, gish_f13_p, gish_f14_p); Validation: All items must be answered gish_ss_f_sum2_p
gish_p_ss_f_sum2_nm Integer Recommended GISH Female Sum V2; Number Missing Questions gish_ss_f_sum2_nm_p
gish_p_ss_f_sum2_nt Integer Recommended GISH Female Sum V2; Number Total Questions gish_ss_f_sum2_nt_p
gish_p_ss_m_sum2 Integer Recommended GISH Male Sum V2 (gish_m9_p, gish_m11_p removed from gish_p_ss_m_sum); Sum all male values = sum(gish_m1_p, gish_m2_p, gish_m3_p, gish_m4_p, gish_m5_p, gish_m6_p, gish_m7_p, gish_m8_p, gish_m10_p, gish_m12_p, gish_m13_p, gish_m14_p); Validation: All items must be answered gish_ss_m_sum2_p
gish_p_ss_m_sum2_nm Integer Recommended GISH Male Sum V2; Number Missing Questions gish_ss_m_sum2_nm_p
gish_p_ss_m_sum2_nt Integer Recommended GISH Male Sum V2; Number Total Questions gish_ss_m_sum2_nt_p
eatq_p_ss_activation_nt Integer Recommended PhenX Early Adolescent Temperament Q - Parent activation number total eatq_phenx_ss_activation_nt_p
eatq_p_ss_affiliation Float Recommended PhenX Early Adolescent Temperament Q - Parent affiliation; sum(eatq_phenx_care_p, eatq_phenx_share_p, eatq_phenx_spend_time_p, eatq_phenx_hugs_p, eatq_phenx_close_rel_p, eatq_phenx_friendly_p); Validation: Maximum of 1 item missing eatq_phenx_ss_affiliation_p
eatq_p_ss_affiliation_nm Integer Recommended Parent affiliation number missing eatq_phenx_ss_affiliation_nm_p
eatq_p_ss_affiliation_nt Integer Recommended PhenX Early Adolescent Temperament Q - Parent affiliation number total eatq_phenx_ss_affiliation_nt_p
eatq_p_ss_aggression Float Recommended PhenX Early Adolescent Temperament Q - Parent aggression; sum(eatq_phenx_insult_p, eatq_phenx_angry_hit_p, eatq_phenx_rude_p, eatq_phenx_blame_p, eatq_phenx_doorslam_p, eatq_phenx_makes_fun_p, eatq_phenx_no_criticize_p); Validation: Maximum of 1 item missing eatq_phenx_ss_aggression_p
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

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