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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).

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. 

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Data Structures with shared data
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Change History For

Hollingshead Socioeconomic Rating Scale

3,594 Shared Subjects

N/A
Clinical Assessments
Socioeconomic
02/23/2016
ses01
12/21/2020
View Data Structure
01
Element Name Change Description Before Now When
weight_std NOTES, NOTES: -1 = Not known NOTES: -1 = Not known; 999 = Missing 07/12/2021 15:47 PM
sex DESCRIPTION DESCRIPTION: Sex of the subject DESCRIPTION: Sex of subject at birth 07/09/2021 10:38 AM
respondent VALUE_RANGE, VALUE_RANGE: Mother;Father;Parent;Guardian;Teacher;Child;Self;Caregiver;Other VALUE_RANGE: Mother;Father;Parent;Guardian;Teacher;Child;Self;Caregiver;Partner;Other 03/16/2021 10:46 AM
respondent VALUE_RANGE, VALUE_RANGE: Mother;Father;Parent;Guardian;Teacher;Child;Self;Other VALUE_RANGE: Mother;Father;Parent;Guardian;Teacher;Child;Self;Caregiver;Other 01/29/2021 10:36 AM
respondent VALUE_RANGE, VALUE_RANGE: Mother;Father;Both;Other;Parent;Teacher;Child; Self VALUE_RANGE: Mother;Father;Parent;Guardian;Teacher;Child;Self;Other 01/29/2021 10:26 AM
interview_date NOTES, NOTES: Required field NOTES: 01/08/2021 10:21 AM
visit NEW_MAP_ELEMENT Added data element 'visit' to data structure 'ses01'. 12/21/2020 18:03 PM
respondent VALUE_RANGE, VALUE_RANGE: Mother;Father;Both;Other;Parent;Teacher;Child VALUE_RANGE: Mother;Father;Both;Other;Parent;Teacher;Child; Self 11/13/2020 15:31 PM
respondent VALUE_RANGE, VALUE_RANGE: Mother;Father;Both;Other;Parent;Teacher VALUE_RANGE: Mother;Father;Both;Other;Parent;Teacher;Child 07/10/2020 11:13 AM
visit ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 60 06/25/2020 10:25 AM
aescode NEW_MAP_ELEMENT Added data element 'aescode' to data structure 'ses01'. 05/15/2020 16:19 PM
father NEW_MAP_ELEMENT Added data element 'father' to data structure 'ses01'. 05/15/2020 16:19 PM
q44_daterev NEW_MAP_ELEMENT Added data element 'q44_daterev' to data structure 'ses01'. 05/15/2020 16:19 PM
saps_ad10 NEW_MAP_ELEMENT Added data element 'saps_ad10' to data structure 'ses01'. 05/15/2020 16:19 PM
vr_comfort_move_date NEW_MAP_ELEMENT Added data element 'vr_comfort_move_date' to data structure 'ses01'. 05/15/2020 16:19 PM
father_title NEW_MAP_ELEMENT Added data element 'father_title' to data structure 'ses01'. 05/15/2020 16:19 PM
mother_title NEW_MAP_ELEMENT Added data element 'mother_title' to data structure 'ses01'. 05/15/2020 16:19 PM
mother_s_employment_level NEW_MAP_ELEMENT Added data element 'mother_s_employment_level' to data structure 'ses01'. 05/15/2020 16:18 PM
mother_s_employment_level NEW_DATA_ELEMENT 05/15/2020 16:18 PM
father NEW_DATA_ELEMENT 05/15/2020 16:18 PM
dem_09a VALUE_RANGE, VALUE_RANGE: 1::8;99 VALUE_RANGE: 1::9;99 05/11/2020 16:49 PM
version_form ELEMENT_SIZE, ELEMENT_SIZE: 100 ELEMENT_SIZE: 121 03/25/2020 12:57 PM
sex VALUE_RANGE, , NOTES, VALUE_RANGE: M;F NOTES: M = Male; F = Female VALUE_RANGE: M;F; O; NR NOTES: M = Male; F = Female; O=Other; NR = Not reported 02/21/2020 13:02 PM
respondent VALUE_RANGE, VALUE_RANGE: Mother;Father;Both; Child; Other; Parent VALUE_RANGE: Mother;Father;Both;Other;Parent;Teacher 02/07/2020 15:56 PM
demo_resp_status NOTES, NOTES: 1 = Married; 2 = Remarried; 3 = Live with partner (not married); 4 = Separated; 5 = Divorced; 6 = Single (never married); 7 = Widowed; 8=Married or Living Together;9 = Missing/Not Applicable; 10 = Other; 11=Refused to answer NOTES: 1 = Married; 2 = Remarried; 3 = Live with partner (not married); 4 = Separated; 5 = Divorced; 6 = Single (never married); 7 = Widowed; 8=Married or Living Together;9 = Missing/Not Applicable; 10 = Other; 11=Refused to answer; 12= Engaged 02/04/2020 13:01 PM
demo_resp_status VALUE_RANGE, VALUE_RANGE: 1 :: 11 VALUE_RANGE: 1::12 02/04/2020 13:01 PM
asq_relationship VALUE_RANGE, VALUE_RANGE: VALUE_RANGE: 01/13/2020 15:59 PM
other_marital_specify ELEMENT_SIZE, ELEMENT_SIZE: 20 ELEMENT_SIZE: 150 11/21/2019 19:03 PM
asq_relationship VALUE_RANGE, VALUE_RANGE: Parent;Grandparent or other relative;Guardian;Foster parent;Teacher;Child care provider;Other VALUE_RANGE: 11/19/2019 13:54 PM
asq_relationship NOTES, NOTES: NOTES: Parent;Grandparent or other relative;Guardian;Foster parent;Teacher;Child care provider;Other 11/19/2019 13:54 PM
cig_smoke DESCRIPTION DESCRIPTION: The amount of cigarettes you smoke DESCRIPTION: The amount of cigarettes you smoke and ages you have smoked 11/19/2019 13:54 PM
age_parentdiv NEW_MAP_ELEMENT Added data element 'age_parentdiv' to data structure 'ses01'. 11/19/2019 13:53 PM
area4_explain NEW_MAP_ELEMENT Added data element 'area4_explain' to data structure 'ses01'. 11/19/2019 13:53 PM
asq_relationship NEW_MAP_ELEMENT Added data element 'asq_relationship' to data structure 'ses01'. 11/19/2019 13:53 PM
behavioralobservations_hand NEW_MAP_ELEMENT Added data element 'behavioralobservations_hand' to data structure 'ses01'. 11/19/2019 13:53 PM
ccc2english NEW_MAP_ELEMENT Added data element 'ccc2english' to data structure 'ses01'. 11/19/2019 13:53 PM
cg1_occupation NEW_MAP_ELEMENT Added data element 'cg1_occupation' to data structure 'ses01'. 11/19/2019 13:53 PM
cg2_occupation NEW_MAP_ELEMENT Added data element 'cg2_occupation' to data structure 'ses01'. 11/19/2019 13:53 PM
cig_smoke NEW_MAP_ELEMENT Added data element 'cig_smoke' to data structure 'ses01'. 11/19/2019 13:53 PM
demo_caregiver_edu NEW_MAP_ELEMENT Added data element 'demo_caregiver_edu' to data structure 'ses01'. 11/19/2019 13:53 PM
grade_highed NEW_MAP_ELEMENT Added data element 'grade_highed' to data structure 'ses01'. 11/19/2019 13:53 PM
hh_009 NEW_MAP_ELEMENT Added data element 'hh_009' to data structure 'ses01'. 11/19/2019 13:53 PM
jobh NEW_MAP_ELEMENT Added data element 'jobh' to data structure 'ses01'. 11/19/2019 13:53 PM
other_marital_specify NEW_MAP_ELEMENT Added data element 'other_marital_specify' to data structure 'ses01'. 11/19/2019 13:53 PM
smoker NEW_MAP_ELEMENT Added data element 'smoker' to data structure 'ses01'. 11/19/2019 13:53 PM
spouse_grade_sp NEW_MAP_ELEMENT Added data element 'spouse_grade_sp' to data structure 'ses01'. 11/19/2019 13:53 PM
spseduo NEW_MAP_ELEMENT Added data element 'spseduo' to data structure 'ses01'. 11/19/2019 13:53 PM
yrbs_es NEW_MAP_ELEMENT Added data element 'yrbs_es' to data structure 'ses01'. 11/19/2019 13:53 PM
cdritem1_13 NEW_MAP_ELEMENT Added data element 'cdritem1_13' to data structure 'ses01'. 11/19/2019 13:53 PM
hh_009 NEW_DATA_ELEMENT 11/19/2019 13:53 PM
gender PERMANENTLY ALIASED gender sex 04/22/2019 00:00 AM
cdritem1_13 NEW_DATA_ELEMENT 03/21/2019 09:59 AM
site ELEMENT_SIZE, ELEMENT_SIZE: 100 ELEMENT_SIZE: 101 01/30/2019 17:56 PM
cig_smoke ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 200 01/29/2019 13:20 PM
gender DESCRIPTION DESCRIPTION: Sex of the subject DESCRIPTION: Sex of the subject 08/22/2018 10:43 AM
gender DESCRIPTION DESCRIPTION: Block Brief 2000: Sex of the subject DESCRIPTION: Sex of the subject 08/20/2018 10:21 AM
gender DESCRIPTION DESCRIPTION: Sex of the subject DESCRIPTION: Block Brief 2000: Sex of the subject 08/14/2018 16:18 PM
visit NOTES, NOTES: Character description of each type of visit NOTES: 07/18/2018 13:11 PM
vr_comfort_move_date NEW_DATA_ELEMENT 06/20/2018 15:30 PM
liveswithother DESCRIPTION DESCRIPTION: "child lives with other, specify" DESCRIPTION: Child lives with other, specify 03/12/2018 17:34 PM
ses1job ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 12/22/2017 11:57 AM
spouse_empl VALUE_RANGE, , NOTES, VALUE_RANGE: 0::2 NOTES: 0=No; 1=Yes part-time; 2=Yes full-time VALUE_RANGE: 0::2; 7 NOTES: 0=No; 1=Yes part-time; 2=Yes full-time; 7=Retired 12/22/2017 11:18 AM
gender DELETED_TRANSLATION_RULE 1 = M 12/19/2017 14:44 PM
gender NEW_TRANSLATION_RULE 1 = M 12/19/2017 14:39 PM
version_form DESCRIPTION DESCRIPTION: Form used DESCRIPTION: Form used/assessment name 11/24/2017 16:39 PM
interview_date DESCRIPTION DESCRIPTION: Date on which the interview/genetic test/sampling/imaging was completed. MM/DD/YYYY DESCRIPTION: Date on which the interview/genetic test/sampling/imaging/biospecimen was completed. MM/DD/YYYY 08/28/2017 15:10 PM
version_form NOTES NOTES: 0 NOTES: 08/01/2017 15:06 PM
version_form NOTES NOTES: NOTES: 0 08/01/2017 14:25 PM
dem_09a NOTES NOTES: 1=Higher executive, proprietor of large concern, major professional; 2=Business manager or large concern, proprietor of medium-sized business, lesser professiona;l 3=Administrative personnel, owner of small independent business, minor professional; 4=Clerical or sales worker, technician, owner of little business;5=Skilled manual employee; 6=Machine operator, semi-skilled employee; 7=Unskilled employee; 8=Never worked in paid employment; 99=Not ascertained; 9 = Not in household NOTES: 1=Higher executive, proprietor of large concern, major professional; 2=Business manager or large concern, proprietor of medium-sized business, lesser professiona;l 3=Administrative personnel, owner of small independent business, minor professional; 4=Clerical or sales worker, technician, owner of little business;5=Skilled manual employee; 6=Machine operator, semi-skilled employee; 7=Unskilled employee; 8=farm laborers, menial service workers, students, housewives, (dependent on welfare, no regular occupation); 99=Not ascertained; 9 = Not in household 07/11/2017 12:15 PM
dem_09b NOTES NOTES: 1=Higher executive, proprietor of large concern, major professional; 2=Business manager or large concern, proprietor of medium-sized business, lesser professiona;l 3=Administrative personnel, owner of small independent business, minor professional; 4=Clerical or sales worker, technician, owner of little business;5=Skilled manual employee; 6=Machine operator, semi-skilled employee; 7=Unskilled employee; 8=Never worked in paid employment; 99=Not ascertained; 9 = Not in household NOTES: 1=Higher executive, proprietor of large concern, major professional; 2=Business manager or large concern, proprietor of medium-sized business, lesser professiona;l 3=Administrative personnel, owner of small independent business, minor professional; 4=Clerical or sales worker, technician, owner of little business;5=Skilled manual employee; 6=Machine operator, semi-skilled employee; 7=Unskilled employee; 8=farm laborers, menial service workers, students, housewives, (dependent on welfare, no regular occupation); 99=Not ascertained; 9 = Not in household 07/11/2017 12:15 PM
job_ptcu NOTES NOTES: 1=Higher executive, proprietor of large concern, major professional; 2=Business manager or large concern, proprietor of medium-sized business, lesser professiona;l 3=Administrative personnel, owner of small independent business, minor professional; 4=Clerical or sales worker, technician, owner of little business;5=Skilled manual employee; 6=Machine operator, semi-skilled employee; 7=Unskilled employee; 8=Never worked in paid employment; 99=Not ascertained; 9 = Not in household NOTES: 1=Higher executive, proprietor of large concern, major professional; 2=Business manager or large concern, proprietor of medium-sized business, lesser professiona;l 3=Administrative personnel, owner of small independent business, minor professional; 4=Clerical or sales worker, technician, owner of little business;5=Skilled manual employee; 6=Machine operator, semi-skilled employee; 7=Unskilled employee; 8=farm laborers, menial service workers, students, housewives, (dependent on welfare, no regular occupation); 99=Not ascertained; 9 = Not in household 07/11/2017 12:15 PM
dem_09a NOTES NOTES: 1=Higher executive, proprietor of large concern, major professional ; 2=Business manager or large concern, proprietor of medium-sized business, lesser professional 3=Administrative personnel, owner of small independent business, minor professional 4=Clerical or sales worker, technician, owner of little business 5=Skilled manual employee ; 6=Machine operator, semi-skilled employee 7=Unskilled employee ; 8=farm laborers, menial service workers, students, housewives, (dependent on welfare, no regular occupation); 99=Not ascertained NOTES: 1=Higher executive, proprietor of large concern, major professional; 2=Business manager or large concern, proprietor of medium-sized business, lesser professiona;l 3=Administrative personnel, owner of small independent business, minor professional; 4=Clerical or sales worker, technician, owner of little business;5=Skilled manual employee; 6=Machine operator, semi-skilled employee; 7=Unskilled employee; 8=Never worked in paid employment; 99=Not ascertained; 9 = Not in household 07/11/2017 12:14 PM
dem_09b NOTES NOTES: 1=Higher executive, proprietor of large concern, major professional ; 2=Business manager or large concern, proprietor of medium-sized business, lesser professiona;l 3=Administrative personnel, owner of small independent business, minor professional; 4=Clerical or sales worker, technician, owner of little business; 5=Skilled manual employee; 6=Machine operator, semi-skilled employee; 7=Unskilled employee; 8=Never worked in paid employment; 99=Not ascertained; 9 = Not in household NOTES: 1=Higher executive, proprietor of large concern, major professional; 2=Business manager or large concern, proprietor of medium-sized business, lesser professiona;l 3=Administrative personnel, owner of small independent business, minor professional; 4=Clerical or sales worker, technician, owner of little business;5=Skilled manual employee; 6=Machine operator, semi-skilled employee; 7=Unskilled employee; 8=Never worked in paid employment; 99=Not ascertained; 9 = Not in household 07/11/2017 12:14 PM
job_ptcu NOTES NOTES: 1=Higher executive, proprietor of large concern, major professional; 2=Business manager of large concern, proprietor of medium sized business, lesser professional; 3=Administrative personnel, owner of small independent business, minor professional, owner of a large farm; 4=Clerical or sales worker, technician, owner of a little business, owner of a medium sized farm; 5=Skilled manual employee, owner of a small farm; 6=Machine operator, semi-skilled employee, tenant farmer who owns little equipment; 7=Unskilled employee, share cropper; 9=Never had paid employment/Not currently employed; 99=not scertained NOTES: 1=Higher executive, proprietor of large concern, major professional; 2=Business manager or large concern, proprietor of medium-sized business, lesser professiona;l 3=Administrative personnel, owner of small independent business, minor professional; 4=Clerical or sales worker, technician, owner of little business;5=Skilled manual employee; 6=Machine operator, semi-skilled employee; 7=Unskilled employee; 8=Never worked in paid employment; 99=Not ascertained; 9 = Not in household 07/11/2017 12:14 PM
dem_09a NOTES NOTES: 1=Higher executive, proprietor of large concern, major professional 2=Business manager or large concern, proprietor of medium-sized business, lesser professional 3=Administrative personnel, owner of small independent business, minor professional 4=Clerical or sales worker, technician, owner of little business 5=Skilled manual employee 6=Machine operator, semi-skilled employee 7=Unskilled employee 8=Never worked in paid employment 99=Not ascertained NOTES: 1=Higher executive, proprietor of large concern, major professional ; 2=Business manager or large concern, proprietor of medium-sized business, lesser professional 3=Administrative personnel, owner of small independent business, minor professional 4=Clerical or sales worker, technician, owner of little business 5=Skilled manual employee ; 6=Machine operator, semi-skilled employee 7=Unskilled employee ; 8=farm laborers, menial service workers, students, housewives, (dependent on welfare, no regular occupation); 99=Not ascertained 07/11/2017 12:07 PM
yrbs_es NEW_DATA_ELEMENT 06/08/2017 10:08 AM
saps_ad10 NOTES NOTES: 99 = Missing NOTES: 06/02/2017 11:32 AM
saps_ad10 NOTES NOTES: NOTES: 99 = Missing 06/02/2017 11:32 AM
version_form ELEMENT_SIZE ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 02/02/2017 16:38 PM
demo_resp_status VALUE_RANGE, NOTES VALUE_RANGE: 1 :: 10 NOTES: 1 = Married; 2 = Remarried; 3 = Live with partner (not married); 4 = Separated; 5 = Divorced; 6 = Single (never married); 7 = Widowed; 8=Married or Living Together;9 = Missing/Not Applicable; 10 = Other VALUE_RANGE: 1 :: 11 NOTES: 1 = Married; 2 = Remarried; 3 = Live with partner (not married); 4 = Separated; 5 = Divorced; 6 = Single (never married); 7 = Widowed; 8=Married or Living Together;9 = Missing/Not Applicable; 10 = Other; 11=Refused to answer 01/06/2017 16:19 PM
bsimo POSITION POSITION: 49 POSITION: 48 12/19/2016 18:02 PM
disabilitybenefitsa POSITION POSITION: 34 POSITION: 33 12/19/2016 18:02 PM
educ POSITION POSITION: 41 POSITION: 40 12/19/2016 18:02 PM
emply POSITION POSITION: 43 POSITION: 42 12/19/2016 18:02 PM
ftepay POSITION POSITION: 36 POSITION: 35 12/19/2016 18:02 PM
loansupport POSITION POSITION: 38 POSITION: 37 12/19/2016 18:02 PM
occupation POSITION POSITION: 42 POSITION: 41 12/19/2016 18:02 PM
occupationsp POSITION POSITION: 46 POSITION: 45 12/19/2016 18:02 PM
other_sup POSITION POSITION: 39 POSITION: 38 12/19/2016 18:02 PM
parsupport POSITION POSITION: 35 POSITION: 34 12/19/2016 18:02 PM
partp POSITION POSITION: 37 POSITION: 36 12/19/2016 18:02 PM
px_heatlh_ins1 POSITION POSITION: 33 POSITION: 32 12/19/2016 18:02 PM
px_heatlh_ins12 POSITION POSITION: 31 POSITION: 30 12/19/2016 18:02 PM
px_heatlh_ins4 POSITION POSITION: 32 POSITION: 31 12/19/2016 18:02 PM
ses1job POSITION POSITION: 40 POSITION: 39 12/19/2016 18:02 PM
ses2educ POSITION POSITION: 45 POSITION: 44 12/19/2016 18:02 PM
ses2job POSITION POSITION: 44 POSITION: 43 12/19/2016 18:02 PM
sestot POSITION POSITION: 48 POSITION: 47 12/19/2016 18:02 PM
spouse_empl POSITION POSITION: 47 POSITION: 46 12/19/2016 18:02 PM
strschooltype1 POSITION POSITION: 30 POSITION: 29 12/19/2016 18:02 PM
demo_resp_status POSITION POSITION: 29 POSITION: 28 12/19/2016 18:02 PM
height_st POSITION POSITION: 22 POSITION: 21 12/19/2016 18:02 PM
liveswithother POSITION POSITION: 28 POSITION: 27 12/19/2016 18:02 PM
livwith POSITION POSITION: 27 POSITION: 26 12/19/2016 18:02 PM
parent_id POSITION POSITION: 26 POSITION: 25 12/19/2016 18:02 PM
respondent POSITION POSITION: 24 POSITION: 23 12/19/2016 18:02 PM
respondent_other_specify POSITION POSITION: 25 POSITION: 24 12/19/2016 18:02 PM
weight_std POSITION POSITION: 23 POSITION: 22 12/19/2016 18:02 PM
bsimo NEW_MAP_ELEMENT Added data element 'bsimo' to data structure 'ses01'. 12/19/2016 18:02 PM
bsimo DESCRIPTION DESCRIPTION: Months from TADS Time 0 to assessment DESCRIPTION: Months from Time 0 to assessment 12/19/2016 17:29 PM
respondent VALUE_RANGE VALUE_RANGE: Mother;Father;Both; Child; Other VALUE_RANGE: Mother;Father;Both; Child; Other; Parent 12/14/2016 18:06 PM
dem_09b VALUE_RANGE, NOTES VALUE_RANGE: 1::8;99 NOTES: 1=Higher executive, proprietor of large concern, major professional 2=Business manager or large concern, proprietor of medium-sized business, lesser professional 3=Administrative personnel, owner of small independent business, minor professional 4=Clerical or sales worker, technician, owner of little business 5=Skilled manual employee 6=Machine operator, semi-skilled employee 7=Unskilled employee 8=Never worked in paid employment 99=Not ascertained VALUE_RANGE: 1::9;99 NOTES: 1=Higher executive, proprietor of large concern, major professional ; 2=Business manager or large concern, proprietor of medium-sized business, lesser professiona;l 3=Administrative personnel, owner of small independent business, minor professional; 4=Clerical or sales worker, technician, owner of little business; 5=Skilled manual employee; 6=Machine operator, semi-skilled employee; 7=Unskilled employee; 8=Never worked in paid employment; 99=Not ascertained; 9 = Not in household 12/06/2016 15:43 PM
livwith VALUE_RANGE, NOTES VALUE_RANGE: 1::21 NOTES: 1 = Both natural parents; 2 = Both natural parents, but joint custody; 3 = Natural mother and stepfather; 4 = Natural father and stepmother; 5 = Natural mother and boyfriend/girlfriend; 6 = Natural father and boyfriend/girlfriend; 7 = Natural mother only; 8 = Natural father only; 10 = Stepmother only; 11 = Stepfather only; 12 = Grandparent; 13 = Adoptive parent; 14 = Other relative/friend; 15 = Foster home; 16 = Group home; 17 = Residential institution; 18 = Boarding home; 19 = Runaway; 20 = College student; 21 = Lives independently; 22=Aunt/Uncle; 23=Legal Guardian;88 = other; 99 = missing VALUE_RANGE: 1::25; 88; 99 NOTES: 1 = Both natural parents; 2 = Both natural parents, but joint custody; 3 = Natural mother and stepfather; 4 = Natural father and stepmother; 5 = Natural mother and boyfriend/girlfriend; 6 = Natural father and boyfriend/girlfriend; 7 = Natural mother only; 8 = Natural father only; 10 = Stepmother only; 11 = Stepfather only; 12 = Grandparent; 13 = Adoptive parent; 14 = Other relative/friend; 15 = Foster home; 16 = Group home; 17 = Residential institution; 18 = Boarding home; 19 = Runaway; 20 = College student; 21 = Lives independently; 22=Aunt/Uncle; 23=Legal Guardian;24 = Military; 25 = Spouse/significant other88 = other; 99 = missing 11/17/2016 16:03 PM
educ NEW_MAP_ELEMENT Added data element 'educ' to data structure 'ses01'. 11/17/2016 15:59 PM
emply NEW_MAP_ELEMENT Added data element 'emply' to data structure 'ses01'. 11/17/2016 15:59 PM
loansupport NEW_MAP_ELEMENT Added data element 'loansupport' to data structure 'ses01'. 11/17/2016 15:59 PM
occupation NEW_MAP_ELEMENT Added data element 'occupation' to data structure 'ses01'. 11/17/2016 15:59 PM
occupationsp NEW_MAP_ELEMENT Added data element 'occupationsp' to data structure 'ses01'. 11/17/2016 15:59 PM
other_sup NEW_MAP_ELEMENT Added data element 'other_sup' to data structure 'ses01'. 11/17/2016 15:59 PM
partp NEW_MAP_ELEMENT Added data element 'partp' to data structure 'ses01'. 11/17/2016 15:59 PM
ses1job NEW_MAP_ELEMENT Added data element 'ses1job' to data structure 'ses01'. 11/17/2016 15:59 PM
ses2educ NEW_MAP_ELEMENT Added data element 'ses2educ' to data structure 'ses01'. 11/17/2016 15:59 PM
ses2job NEW_MAP_ELEMENT Added data element 'ses2job' to data structure 'ses01'. 11/17/2016 15:59 PM
sestot NEW_MAP_ELEMENT Added data element 'sestot' to data structure 'ses01'. 11/17/2016 15:59 PM
spouse_empl NEW_MAP_ELEMENT Added data element 'spouse_empl' to data structure 'ses01'. 11/17/2016 15:59 PM
demo_resp_status NEW_MAP_ELEMENT Added data element 'demo_resp_status' to data structure 'ses01'. 11/17/2016 15:59 PM
disabilitybenefitsa NEW_MAP_ELEMENT Added data element 'disabilitybenefitsa' to data structure 'ses01'. 11/17/2016 15:59 PM
ftepay NEW_MAP_ELEMENT Added data element 'ftepay' to data structure 'ses01'. 11/17/2016 15:59 PM
height_st NEW_MAP_ELEMENT Added data element 'height_st' to data structure 'ses01'. 11/17/2016 15:59 PM
liveswithother NEW_MAP_ELEMENT Added data element 'liveswithother' to data structure 'ses01'. 11/17/2016 15:59 PM
livwith NEW_MAP_ELEMENT Added data element 'livwith' to data structure 'ses01'. 11/17/2016 15:59 PM
loansupport NEW_DATA_ELEMENT 11/17/2016 15:59 PM
parent_id NEW_MAP_ELEMENT Added data element 'parent_id' to data structure 'ses01'. 11/17/2016 15:59 PM
parsupport NEW_DATA_ELEMENT 11/17/2016 15:59 PM
parsupport NEW_MAP_ELEMENT Added data element 'parsupport' to data structure 'ses01'. 11/17/2016 15:59 PM
partp NEW_DATA_ELEMENT 11/17/2016 15:59 PM
px_heatlh_ins1 NEW_MAP_ELEMENT Added data element 'px_heatlh_ins1' to data structure 'ses01'. 11/17/2016 15:59 PM
px_heatlh_ins12 NEW_MAP_ELEMENT Added data element 'px_heatlh_ins12' to data structure 'ses01'. 11/17/2016 15:59 PM
px_heatlh_ins4 NEW_MAP_ELEMENT Added data element 'px_heatlh_ins4' to data structure 'ses01'. 11/17/2016 15:59 PM
respondent NEW_MAP_ELEMENT Added data element 'respondent' to data structure 'ses01'. 11/17/2016 15:59 PM
respondent_other_specify NEW_MAP_ELEMENT Added data element 'respondent_other_specify' to data structure 'ses01'. 11/17/2016 15:59 PM
ses1job NEW_DATA_ELEMENT 11/17/2016 15:59 PM
ses2educ NEW_DATA_ELEMENT 11/17/2016 15:59 PM
ses2job NEW_DATA_ELEMENT 11/17/2016 15:59 PM
site NEW_MAP_ELEMENT Added data element 'site' to data structure 'ses01'. 11/17/2016 15:59 PM
strschooltype1 NEW_MAP_ELEMENT Added data element 'strschooltype1' to data structure 'ses01'. 11/17/2016 15:59 PM
weight_std NEW_MAP_ELEMENT Added data element 'weight_std' to data structure 'ses01'. 11/17/2016 15:59 PM
livwith NOTES NOTES: 1 = Both natural parents; 2 = Both natural parents, but joint custody; 3 = Natural mother and stepfather; 4 = Natural father and stepmother; 5 = Natural mother and boyfriend/girlfriend; 6 = Natural father and boyfriend/girlfriend; 7 = Natural mother only; 8 = Natural father only; 10 = Stepmother only; 11 = Stepfather only; 12 = Grandparent; 13 = Adoptive parent; 14 = Other relative/friend; 15 = Foster home; 16 = Group home; 17 = Residential institution; 18 = Boarding home; 19 = Runaway; 20 = College student; 21 = Lives independently; 88 = other; 99 = missing NOTES: 1 = Both natural parents; 2 = Both natural parents, but joint custody; 3 = Natural mother and stepfather; 4 = Natural father and stepmother; 5 = Natural mother and boyfriend/girlfriend; 6 = Natural father and boyfriend/girlfriend; 7 = Natural mother only; 8 = Natural father only; 10 = Stepmother only; 11 = Stepfather only; 12 = Grandparent; 13 = Adoptive parent; 14 = Other relative/friend; 15 = Foster home; 16 = Group home; 17 = Residential institution; 18 = Boarding home; 19 = Runaway; 20 = College student; 21 = Lives independently; 22=Aunt/Uncle; 23=Legal Guardian;88 = other; 99 = missing 11/16/2016 15:10 PM
demo_resp_status VALUE_RANGE, NOTES VALUE_RANGE: 1 :: 8 NOTES: 1 = Married; 2 = Remarried; 3 = Live with partner (not married); 4 = Separated; 5 = Divorced; 6 = Single (never married); 7 = Widowed; 8=Married or Living Together VALUE_RANGE: 1 :: 10 NOTES: 1 = Married; 2 = Remarried; 3 = Live with partner (not married); 4 = Separated; 5 = Divorced; 6 = Single (never married); 7 = Widowed; 8=Married or Living Together;9 = Missing/Not Applicable; 10 = Other 11/16/2016 11:46 AM
grade_highed NOTES NOTES: 1 = Less than 6th grade; 2 = Some high school; 3 = High school diploma or GED; 4 = Some college, no degree; 5 = Associate's degree; 6 = Bachelor's degree; 7 = Some graduate school; 8 = Master's degree and above; 9=Some post-graduate training, no degree; 10=Completed 8th grade, no high school; 99=Information not available; 11= High schoo;l 12= College or University; 13= Graduate school; 14= Other NOTES: 1 = Less than 6th grade; 2 = Some high school; 3 = High school diploma or GED; 4 = Some college, no degree; 5 = Associate's degree; 6 = Bachelor's degree; 7 = Some graduate school; 8 = Master's degree and above; 9=Some post-graduate training, no degree; 10=Completed 8th grade, no high school; 99=Information not available; 11= High schoo;l 12= College or University; 13= Graduate school; 14= Other; 15 = Less than high school 10/07/2016 16:00 PM
cg2_occupation DESCRIPTION DESCRIPTION: Caregiver 2's Occupation DESCRIPTION: Caregiver/Parent 2's Occupation 09/22/2016 18:50 PM
cg1_occupation DESCRIPTION DESCRIPTION: Caregiver 1's Occupation DESCRIPTION: Caregiver/Parent 1's Occupation 09/22/2016 18:50 PM
grade_highed NOTES NOTES: 1 = Less than 6th grade; 2 = Some high school; 3 = High school diploma or GED; 4 = Some college, no degree; 5 = Associate's degree; 6 = Bachelor's degree; 7 = Some graduate school; 8 = Master's degree and above; 9=Some post-graduate training, no degree; 10=Completed 8th grade, no high school; 99=Information not available NOTES: 1 = Less than 6th grade; 2 = Some high school; 3 = High school diploma or GED; 4 = Some college, no degree; 5 = Associate's degree; 6 = Bachelor's degree; 7 = Some graduate school; 8 = Master's degree and above; 9=Some post-graduate training, no degree; 10=Completed 8th grade, no high school; 99=Information not available; 11= High schoo;l 12= College or University; 13= Graduate school; 14= Other 09/19/2016 17:56 PM
demo_resp_status VALUE_RANGE, NOTES VALUE_RANGE: 1 :: 7 NOTES: 1 = Married; 2 = Remarried; 3 = Live with partner (not married); 4 = Separated; 5 = Divorced; 6 = Single (never married); 7 = Widowed VALUE_RANGE: 1 :: 8 NOTES: 1 = Married; 2 = Remarried; 3 = Live with partner (not married); 4 = Separated; 5 = Divorced; 6 = Single (never married); 7 = Widowed; 8=Married or Living Together 08/10/2016 11:17 AM
version_form ELEMENT_SIZE ELEMENT_SIZE: 20 ELEMENT_SIZE: 50 07/11/2016 14:45 PM
educ NEW_DATA_ELEMENT 05/26/2016 14:42 PM
emply NEW_DATA_ELEMENT 05/26/2016 14:42 PM
livwith NEW_DATA_ELEMENT 05/26/2016 14:42 PM
occupation NEW_DATA_ELEMENT 05/26/2016 14:42 PM
occupationsp NEW_DATA_ELEMENT 05/26/2016 14:42 PM
educat TYPE TYPE: Integer TYPE: Float 05/26/2016 10:44 AM
gender VALUE_RANGE, NOTES VALUE_RANGE: M;F; T NOTES: M = Male; F = Female; T= Transgender VALUE_RANGE: M;F NOTES: M = Male; F = Female 05/25/2016 11:51 AM
gender DESCRIPTION DESCRIPTION: Gender DESCRIPTION: Sex of the subject 05/25/2016 11:50 AM
father_edu_years TYPE TYPE: Integer TYPE: Float 05/18/2016 10:25 AM
mother_edu_years TYPE TYPE: Integer TYPE: Float 05/18/2016 10:25 AM
job_ptcu VALUE_RANGE, NOTES VALUE_RANGE: 1::9 NOTES: 1=Higher executive, proprietor of large concern, major professional; 2=Business manager of large concern, proprietor of medium sized business, lesser professional; 3=Administrative personnel, owner of small independent business, minor professional, owner of a large farm; 4=Clerical or sales worker, technician, owner of a little business, owner of a medium sized farm; 5=Skilled manual employee, owner of a small farm; 6=Machine operator, semi-skilled employee, tenant farmer who owns little equipment; 7=Unskilled employee, share cropper; 9=Never had paid employment/Not currently employed VALUE_RANGE: 1::9; 99 NOTES: 1=Higher executive, proprietor of large concern, major professional; 2=Business manager of large concern, proprietor of medium sized business, lesser professional; 3=Administrative personnel, owner of small independent business, minor professional, owner of a large farm; 4=Clerical or sales worker, technician, owner of a little business, owner of a medium sized farm; 5=Skilled manual employee, owner of a small farm; 6=Machine operator, semi-skilled employee, tenant farmer who owns little equipment; 7=Unskilled employee, share cropper; 9=Never had paid employment/Not currently employed; 99=not scertained 03/08/2016 16:19 PM
demo_caregiver_edu NEW_DATA_ELEMENT 02/29/2016 15:33 PM
Data Structure Change History

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