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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.

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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 filter 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

  • What is a 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.
  • What do I do after filters are added to the Filter Cart?
    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.
  • Are there limitations on the amount of data a user can download?

    NDA limits the rate at which individual users can transfer data out of Amazon Web Services (AWS) S3 Object storage to non-AWS internet addresses. All users have a download limit of 20 Terabytes. This limit applies to the volume of data an individual user can transfer within a 30-day window. Only downloads to non-AWS internet addresses will be counted against the limit.

  • How does Filter Cart Boolean logic work?

    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.

Glossary

  • Workspace
    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.
  • 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 adds data using an AND condition. The opportunity to further refine data to determine what will be downloaded or sent to a miNDAR is available on the Data Packaging Page, the next step after the Filter Cart. Subsequent access to data is restricted by User Permission or Privilege; however Filter Cart use is not.
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Wechsler Adult Intelligence Scale III

2,846 Shared Subjects

Gauges intelligence in both adults and older adolescents
Clinical Assessments
IQ
12/30/2011
wais_iii01
09/13/2023
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 subject at birth M;F; O; NR M = Male; F = Female; O=Other; NR = Not reported gender
Query wais_bld_ae Integer Recommended Age Equivalent
Query wais_oba_ae Integer Recommended Age Equivalent
Query wais_vcb_ae Integer Recommended Age Equivalent 0 :: 2
Query wais_vcb_assmbl Integer Recommended Assemble 0 :: 2
Query wais_vcb_adcious Integer Recommended Audacious 0 :: 2; 999
Query wais_par_bake Integer Recommended Bake 0; 2
Query wais_inf_ballad Integer Recommended Ballad 0 :: 1
Query wais_vcb_ballad Integer Recommended Ballad 0 :: 2; 999
Query wais_pcc_barn Integer Recommended Barn 0 :: 1
Query wais_pcc_basket Integer Recommended Basket 0 :: 1
Query wais_vcb_bed Integer Recommended Bed 0 :: 2; 999
Query wais_pcc_boat Integer Recommended Boat 0 :: 1
Query wais_sml_boatato Integer Recommended Boat-Automobile 0 :: 2
Query wais_inf_brazil Integer Recommended Brazil 0 :: 1
Query wais_vcb_brkfst Integer Recommended Breakfast 0 :: 2
Query wais_pcc_brfcs Integer Recommended Briefcase 0 :: 1
Query wais_oba_bttrfly Integer Recommended Butterfly 8 :: 11
Query wais_par_cap Integer Recommended Cap 0 :: 2
Query wais_inf_cthrine Integer Recommended Catherine 0 :: 1
Query wais_pcc_chair Integer Recommended Chair 0 :: 1
Query wais_par_chase Integer Recommended Chase 0 :: 2
Query wais_cmp_chldlbr Integer Recommended Child Labor 0 :: 2
Query wais_par_choir Integer Recommended Choir 0 :: 2
Query wais_cmp_ctylnd Integer Recommended City land 0 :: 2
Query wais_inf_cvlwprs Integer Recommended Civil War President 0 :: 1
Query wais_par_clean Integer Recommended Clean 0 :: 2
Query wais_inf_cleoptr Integer Recommended Cleopatra 0 :: 1
Query wais_cmp_clothes Integer Recommended Clothes 0 :: 2
Query wais_pcc_clothng Integer Recommended Clothing 0 :: 1
Query wais_sml_coatsut Integer Recommended Coat-Suit 0 :: 2
Query wais_vcb_colony Integer Recommended Colony 0 :: 2
Query wais_pcc_comb Integer Recommended Comb 0 :: 1
Query wais_vcb_cmpssn Integer Recommended Compassion 0 :: 2
Query wais_vcb_confide Integer Recommended Confide 0 :: 2
Query wais_index_prct Integer Recommended Confidence Intervals ____ (%)
Query wais_fsiq_lowci Integer Recommended Confidence Intervals, lower
Query wais_piq_lowci Integer Recommended Confidence Intervals, lower
Query wais_poi_lowci Integer Recommended Confidence Intervals, lower
Query wais_psi_lowci Integer Recommended Confidence Intervals, lower
Query wais_vci_lowci Integer Recommended Confidence Intervals, lower
Query wais_viq_lowci Integer Recommended Confidence Intervals, lower
Query wais_wmi_lowci Integer Recommended Confidence Intervals, lower
Query wais_fsiq_upci Integer Recommended Confidence Intervals, upper
Query wais_piq_upci Integer Recommended Confidence Intervals, upper
Query wais_poi_upci Integer Recommended Confidence Intervals, upper
Query wais_psi_upci Integer Recommended Confidence Intervals, upper
Query wais_vci_upci Integer Recommended Confidence Intervals, upper
Query wais_viq_upci Integer Recommended Confidence Intervals, upper
Query wais_wmi_upci Integer Recommended Confidence Intervals, upper
Query wais_vcb_consume Integer Recommended Consume 0 :: 2
Query wais_inf_contnts Integer Recommended Continents 0 :: 2
Query wais_pcc_cow Integer Recommended Cow 0 :: 1
Query wais_inf_cuire Integer Recommended Curie 0 :: 1
Query wais_cmp_deaf Integer Recommended Deaf 0 :: 2
Query wais_sml_demcmon Integer Recommended Democracy-monarchy 0 :: 2
Query wais_bld_desgn1 Integer Recommended Design 1 0 :: 2
Query wais_bld_desgn10 Integer Recommended Design 10 0; 4; 5; 6; 7
Query wais_bld_desgn11 Integer Recommended Design 11 0; 4; 5; 6; 7
Query wais_bld_desgn12 Integer Recommended Design 12 0; 2; 4; 5; 6; 7
Query wais_bld_desgn13 Integer Recommended Design 13 0; 4; 5; 6; 7
Query wais_bld_desgn14 Integer Recommended Design 14 0; 4; 5; 6; 7
Query wais_bld_desgn2 Integer Recommended Design 2 0 :: 2
Query wais_bld_desgn3 Integer Recommended Design 3 0 :: 2
Query wais_bld_desgn4 Integer Recommended Design 4 0 :: 2
Query wais_bld_desgn5 Integer Recommended Design 5 0 :: 2
Query wais_bld_desgn6 Integer Recommended Design 6 0 :: 2
Query wais_bld_desgn7 Integer Recommended Design 7 0; 4; 5; 6; 7
Query wais_bld_desgn8 Integer Recommended Design 8 0; 4; 5; 6; 7
Query wais_bld_desgn9 Integer Recommended Design 9 0; 4; 5; 6; 7
Query wais_vcb_dsgnte Integer Recommended Designate 0 :: 2
Query wais_dgs_bw_ttlscore Integer Recommended Digits Backward Total Score 0::16;96 96= Missing c4075_dsb_raw
Query wais_dgs_fw_ttlscore Integer Recommended Digits Forward Total Score 0::14;96 96= Missing c4075_dsf_raw
Query wais_vcb_diverse Integer Recommended Diverse 0 :: 2
Query wais_sml_doglion Integer Recommended Dog-Lion 0 :: 2
Query wais_pcc_door Integer Recommended Door 0 :: 1
Query wais_par_dream Integer Recommended Dream 0; 2
Query wais_sml_eggseed Integer Recommended Egg-seed 0 :: 2
Query wais_oba_elephnt Integer Recommended Elephant 8; 9; 10; 11
Query wais_vcb_encmbr Integer Recommended Encumber 0; 1; 2
Query wais_sml_enmyfrd Integer Recommended Enemy-Friend 0 :: 2
Query wais_cmp_envlope Integer Recommended Envelope 0; 1; 2
Query wais_vcb_epic Integer Recommended Epic 0; 1; 2
Query wais_vcb_evolve Integer Recommended Evolve 0; 1; 2
Query wais_sml_eyeear Integer Recommended Eye-ear 0 :: 2
Query wais_pcc_face Integer Recommended Face 0; 1
Query wais_inf_faust Integer Recommended Faust 0; 1
Query wais_pcc_fireplc Integer Recommended Fireplace 0; 1
Query wais_sml_flytree Integer Recommended Fly-tree 0 :: 2
Query wais_cmp_food Integer Recommended Food 0 :: 2
Query wais_cmp_forest Integer Recommended Forest 0 :: 2
Query wais_sml_frkspn Integer Recommended Fork-spoon 0 :: 2
Query wais_vcb_frtitde Integer Recommended Fortitude 0; 1; 2
Query wais_cmp_freeprs Integer Recommended Free press 0 :: 2
Query wais_inf_gandhi Integer Recommended Gandhi 0; 1
Query wais_vcb_gnrate Integer Recommended Generate 0; 1; 2
Query wais_inf_genesis Integer Recommended Genesis 0; 1
Query wais_pcc_glasss Integer Recommended Glasses 0; 1
Query wais_inf_hamlet Integer Recommended Hamlet 0; 1
Query wais_sml_hbrntmg Integer Recommended Hibernation-migration 0 :: 2
Query wais_cmp_history Integer Recommended History 0 :: 2
Query wais_oba_house Integer Recommended House 7; 8; 9; 10
Query wais_par_hunt Integer Recommended Hunt 0; 1; 2
Query wais_fsiq_indexscre Integer Recommended WAIS. IQ/Index Scores
Query wais_piq_indexscre Integer Recommended WAIS. Performance IQ/Index Scores
Query wais_poi_indexscre Integer Recommended IQ/Index Scores
Query wais_psi_indexscre Integer Recommended IQ/Index Scores wais_111_psi
Query wais_vci_indexscre Integer Recommended IQ/Index Scores
Query wais_viq_indexscre Integer Recommended WAIS. Verbal IQ/Index Scores
Query wais_wmi_indexscre Integer Recommended IQ/Index Scores wais_111_wmi
Query wais_inf_italy Integer Recommended Italy 0; 1
Query wais_pcc_jogging Integer Recommended Jogging 0; 1
Query wais_cmp_jury Integer Recommended Jury 0 :: 2
Query wais_pcc_knife Integer Recommended Knife 0; 1
Query wais_inf_koran Integer Recommended Koran 0; 1
Query wais_pcc_leaf Integer Recommended Leaf 0; 1
Query wais_pcc_lockers Integer Recommended Lockers 0; 1
Query wais_ldsb_score1 Integer Recommended Longest Digit Span Backward: Score 1 0::8;96;999 96= Missing c4075_dsb_max
Query wais_ldsf_score1 Integer Recommended Longest Digit Span Forward: Score 1 0::9;96;999 96= Missing c4075_dsf_max
Query wais_par_lunch Integer Recommended Lunch 0; 1; 2
Query wais_inf_mlkjr Integer Recommended MLK, JR. 0; 1
Query wais_oba_man Integer Recommended Man 5; 6; 7; 8
Query wais_cmp_mrglcns Integer Recommended Marriage license 0 :: 2
Query wais_mxr_matrix1 Integer Recommended Matrix 1 0; 1
Query wais_mxr_matrix10 Integer Recommended Matrix 10 0; 1
Query wais_mxr_matrix11 Integer Recommended Matrix 11 0; 1
Query wais_mxr_matrix12 Integer Recommended Matrix 12 0; 1
Query wais_mxr_matrix13 Integer Recommended Matrix 13 0; 1
Query wais_mxr_matrix14 Integer Recommended Matrix 14 0; 1
Query wais_mxr_matrix15 Integer Recommended Matrix 15 0; 1
Query wais_mxr_matrix16 Integer Recommended Matrix 16 0; 1
Query wais_mxr_matrix17 Integer Recommended Matrix 17 0; 1
Query wais_mxr_matrix18 Integer Recommended Matrix 18 0; 1
Query wais_mxr_matrix19 Integer Recommended Matrix 19 0; 1
Query wais_mxr_matrix2 Integer Recommended Matrix 2 0; 1
Query wais_mxr_matrix20 Integer Recommended Matrix 20 0; 1
Query wais_mxr_matrix21 Integer Recommended Matrix 21 0; 1
Query wais_mxr_matrix22 Integer Recommended Matrix 22 0; 1
Query wais_mxr_matrix23 Integer Recommended Matrix 23 0; 1
Query wais_mxr_matrix24 Integer Recommended Matrix 24 0; 1
Query wais_mxr_matrix25 Integer Recommended Matrix 25 0; 1
Query wais_mxr_matrix26 Integer Recommended Matrix 26 0; 1
Query wais_mxr_matrix3 Integer Recommended Matrix 3 0; 1
Query wais_mxr_matrix4 Integer Recommended Matrix 4 0; 1
Query wais_mxr_matrix5 Integer Recommended Matrix 5 0; 1
Query wais_mxr_matrix6 Integer Recommended Matrix 6 0; 1
Query wais_mxr_matrix7 Integer Recommended Matrix 7 0; 1
Query wais_mxr_matrix8 Integer Recommended Matrix 8 0; 1
Query wais_mxr_matrix9 Integer Recommended Matrix 9 0; 1
Query wais_sub_mps String 255 Recommended Mean Performance Score
Query wais_sub_mvs String 255 Recommended Mean Verbal Score
Query wais_pcc_mirror Integer Recommended Mirror 0; 1
Query wais_cmp_money Integer Recommended Money 0 :: 2
Query wais_inf_months Integer Recommended Months 0; 1
network String 20 Recommended Network CPEA or STAART Network
Query wais_sub_pst Integer Recommended Number of Perf. Subtests
Query wais_sub_vst Integer Recommended Number of Verbal Subtests
Query wais_inf_olympcs Integer Recommended Olympics 0; 1
Query wais_vcb_ominous Integer Recommended Ominous 0; 1; 2
Query wais_par_opens Integer Recommended Opens 0; 2
Query wais_sml_orngban Integer Recommended Orange-banana 0 :: 2
wais_sub_omean String 255 Recommended Overall Mean
Query wais_cmp_parole Integer Recommended Parole 0 :: 2
Query wais_vcb_penny Integer Recommended Penny 0; 1; 2
Query wais_fsiq_prcntile Integer Recommended Percentiles
Query wais_piq_prcntile Integer Recommended Percentiles
Query wais_poi_prcntile Integer Recommended Percentiles
Query wais_psi_prcntile Integer Recommended Percentiles
Query wais_vci_prcntile Integer Recommended Percentiles
Query wais_viq_prcntile Integer Recommended Percentiles
Query wais_wmi_prcntile Float Recommended Percentiles
Query wais_pops_diff Integer Recommended Perceptual Organization - Processing Speed: Difference
Query wais_pops_frqdiff Float Recommended Perceptual Organization - Processing Speed: Frequency of Difference in Standardization Sample
Query wais_pops_statsig Float Recommended Perceptual Organization - Processing Speed: Statistical Significance
Query wais_powm_diff Integer Recommended Perceptual Organization - Working Memory: Difference
Query wais_powm_frqdiff Float Recommended Perceptual Organization - Working Memory: Frequency of Difference in Standardization Sample
Query wais_powm_statsig Float Recommended Perceptual Organization - Working Memory: Statistical Significance
Query wais_sml_pnodrum Integer Recommended Piano-drum 0 :: 2
Query wais_pcc_pie Integer Recommended Pie 0; 1
Query wais_pcc_ptchr Integer Recommended Pitcher 0; 1
Query wais_vcb_plgrize Integer Recommended Plagiarize 0; 1; 2
Query wais_pcc_pliers Integer Recommended Pliers 0; 1
Query wais_sml_poemstt Integer Recommended Poem-statue 0 :: 2
Query wais_vcb_ponder Integer Recommended Ponder 0; 1; 2
Query wais_vcb_pout Integer Recommended Pout 0; 1; 2
Query wais_sml_prspnmt Integer Recommended Praise-punishment 0 :: 2
Query wais_arm_prblm1 Integer Recommended Problem 1 0; 1
Query wais_arm_prblm10 Integer Recommended Problem 10 0; 1
Query wais_arm_prblm11 Integer Recommended Problem 11 0; 1
Query wais_arm_prblm12 Integer Recommended Problem 12 0; 1
Query wais_arm_prblm13 Integer Recommended Problem 13 0; 1
Query wais_arm_prblm14 Integer Recommended Problem 14 0; 1
Query wais_arm_prblm15 Integer Recommended Problem 15 0; 1
Query wais_arm_prblm16 Integer Recommended Problem 16 0; 1
Query wais_arm_prblm17 Integer Recommended Problem 17 0; 1
Query wais_arm_prblm18 Integer Recommended Problem 18 0; 1
Query wais_arm_prblm19 Integer Recommended Problem 19 0; 1; 2
Query wais_arm_prblm2 Integer Recommended Problem 2 0; 1
Query wais_arm_prblm20 Integer Recommended Problem 20 0; 1; 2
Query wais_arm_prblm3 Integer Recommended Problem 3 0; 1
Query wais_arm_prblm4 Integer Recommended Problem 4 0; 1
Query wais_arm_prblm5 Integer Recommended Problem 5 0; 1
Query wais_arm_prblm6 Integer Recommended Problem 6 0; 1
Query wais_arm_prblm7 Integer Recommended Problem 7 0; 1
Query wais_arm_prblm8 Integer Recommended Problem 8 0; 1
Query wais_arm_prblm9 Integer Recommended Problem 9 0; 1
Query wais_cmp_prfsrvc Integer Recommended Professional service 0 :: 2
Query wais_oba_profile Integer Recommended Profile 9; 10; 11; 12
Query wais_bld_rawscre Integer Recommended Raw Score
Query wais_arm_rgss Integer Recommended Reference Group Scaled Scores
Query wais_bld_rgss Integer Recommended Reference Group Scaled Scores
Query wais_cmp_rgss Integer Recommended Reference Group Scaled Scores
Query wais_dgs_rgss Integer Recommended Reference Group Scaled Scores
Query wais_dsc_rgss Integer Recommended Reference Group Scaled Scores
Query wais_inf_rgss Integer Recommended Reference Group Scaled Scores
Query wais_lns_rgss Integer Recommended Reference Group Scaled Scores
Query wais_mxr_rgss Integer Recommended Reference Group Scaled Scores
Query wais_oba_rgss Integer Recommended Reference Group Scaled Scores
Query wais_par_rgss Integer Recommended Reference Group Scaled Scores
Query wais_pcc_rgss Integer Recommended Reference Group Scaled Scores
Query wais_sbs_rgss Integer Recommended Reference Group Scaled Scores
Query wais_sml_rgss Integer Recommended Reference Group Scaled Scores
Query wais_vcb_rgss Integer Recommended Reference Group Scaled Scores
Query wais_inf_rltvty Integer Recommended Relativity 0; 1
Query wais_vcb_rlctnt Integer Recommended Reluctant 0; 1; 2
Query wais_vcb_rmrse Integer Recommended Remorse 0; 1; 2
Query wais_vcb_repair Integer Recommended Repair 0; 1; 2
Query wais_pcc_roses Integer Recommended Roses 0; 1
Query wais_inf_shrdsrt Integer Recommended Sahara Desert 0; 1
Query wais_par_smlaml Integer Recommended Samuel/Amuels 0; 1; 2
Query wais_vcb_snctry Integer Recommended Sanctuary 0; 1; 2
Query wais_inf_saturdy Integer Recommended Saturday 0; 1
Query wais_arm_scldscre Integer Recommended Scaled Score
Query wais_bld_scldscre Integer Recommended Scaled Score
Query wais_cmp_scldscre Integer Recommended Scaled Score
Query wais_dgs_scldscre Integer Recommended Scaled Score
Query wais_dsc_scldscre Integer Recommended Scaled Score
Query wais_inf_scldscre Integer Recommended Scaled Score
Query wais_lns_scldscre Integer Recommended Scaled Score
Query wais_mxr_scldscre Integer Recommended Scaled Score
Query wais_oba_scldscre Integer Recommended Scaled Score
Query wais_par_scldscre Integer Recommended Scaled Score
Query wais_pcc_scldscre Integer Recommended Scaled Score
Query wais_sbs_scldscre Integer Recommended Scaled Score
Query wais_sml_scldscre Integer Recommended Scaled Score
Query wais_vcb_scldscre Integer Recommended Scaled Score
Query wais_vcb_sntnce Integer Recommended Sentence 0; 1; 2
Query wais_lns_squnc1 Integer Recommended Sequence 1 0; 1; 2; 3
Query wais_lns_squnc2 Integer Recommended Sequence 2 0; 1; 2; 3
Query wais_lns_squnc3 Integer Recommended Sequence 3 0; 1; 2; 3
Query wais_lns_squnc4 Integer Recommended Sequence 4 0; 1; 2; 3
Query wais_lns_squnc5 Integer Recommended Sequence 5 0; 1; 2; 3
Query wais_lns_squnc6 Integer Recommended Sequence 6 0; 1; 2; 3
Query wais_lns_squnc7 Integer Recommended Sequence 7 0; 1; 2; 3
Query wais_cmp_shlwbrk Integer Recommended Shallow brooks 0 :: 2
Query wais_par_shark Integer Recommended Shark 0; 2
Query wais_vcb_ship Integer Recommended Ship 0; 1; 2
Query wais_inf_stnchpl Integer Recommended Sistine Chapel 0; 1
Query wais_sml_sckshoe Integer Recommended Socks-shoes 0 :: 2
Query wais_inf_spdlght Integer Recommended Speed of Light 0; 1
Query wais_comp_siglevel Float Recommended Statistical Significance ___ Level
Query wais_sml_stmfog Integer Recommended Steam-fog 0 :: 2
Query wais_fsiq_scldscre Integer Recommended Sums of Scaled Scores
Query wais_piq_scldscre Integer Recommended Sums of Scaled Scores
Query wais_poi_scldscre Integer Recommended Sums of Scaled Scores
Query wais_psi_scldscre Integer Recommended Sums of Scaled Scores
Query wais_vci_scldscre Integer Recommended Sums of Scaled Scores
Query wais_viq_scldscre Integer Recommended Sums of Scaled Scores
Query wais_wmi_scldscre Integer Recommended Sums of Scaled Scores
Query wais_inf_sunrise Integer Recommended Sunrise 0; 1
Query wais_cmp_swallow Integer Recommended Swallow 0 :: 2
Query wais_pcc_table Integer Recommended Table 0; 1
Query wais_sml_tblchr Integer Recommended Table-chair 0 :: 2
Query wais_vcb_tngble Integer Recommended Tangible 0; 1; 2
Query wais_cmp_taxes Integer Recommended Taxes 0 :: 2
Query wais_pcc_tnnshs Integer Recommended Tennis Shoes 0; 1
Query wais_vcb_trmnte Integer Recommended Terminate 0; 1; 2
Query wais_inf_thrmmtr Integer Recommended Thermometer 0; 1
Query wais_vcb_tirade Integer Recommended Tirade 0; 1; 2
Query wais_arm_rawscre Integer Recommended Total Raw Score 0 :: 22; 999 999 = Unknown
Query wais_cmp_rawscre Integer Recommended Total Raw Score 0 :: 33; 999 999 = Unknown
Query wais_dgs_rawscre Integer Recommended Total Raw Score 0 :: 30; 999 999 = Unknown
Query wais_dsc_rawscre Integer Recommended Total Raw Score 0 :: 133; 999 999 = Unknown
Query wais_inf_rawscre Integer Recommended Total Raw Score 0 :: 28; 999 999 = Unknown
Query wais_lns_rawscre Integer Recommended Total Raw Score 0 :: 21
Query wais_mxr_rawscre Integer Recommended Total Raw Score 0 :: 26; 999 999 = Unknown
Query wais_oba_rawscre Integer Recommended Total Raw Score 0 :: 52
Query wais_par_rawscre Integer Recommended Total Raw Score 0 :: 22; 999 999 = Unknown
Query wais_pcc_rawscre Integer Recommended Total Raw Score 0 :: 25; 999 999 = Unknown
Query wais_sbs_rawscre Integer Recommended Total Raw Score -60 :: 60
Query wais_sml_rawscre Integer Recommended Total Raw Score 0 :: 33; 999 999 = Unknown
Query wais_vcb_rawscre Integer Recommended Total Raw Score 0 :: 66; 999 999 = Unknown
Query wais_sub_subtests Integer Recommended Total Subtests
Query wais_pcc_train Integer Recommended Train 0; 1
Query wais_vcb_trnquil Integer Recommended Tranquil 0; 1; 2
Query wais_dgs_bw_trial1 Integer Recommended Trial 1 0; 1; 2
Query wais_dgs_fw_trial1 Integer Recommended Trial 1 0; 1; 2
Query wais_dgs_bw_trial2 Integer Recommended Trial 2 0; 1; 2
Query wais_dgs_fw_trial2 Integer Recommended Trial 2 0; 1; 2
Query wais_dgs_bw_trial3 Integer Recommended Trial 3 0; 1; 2
Query wais_dgs_fw_trial3 Integer Recommended Trial 3 0; 1; 2
Query wais_dgs_bw_trial4 Integer Recommended Trial 4 0; 1; 2
Query wais_dgs_fw_trial4 Integer Recommended Trial 4 0; 1; 2
Query wais_dgs_bw_trial5 Integer Recommended Trial 5 0; 1; 2
Query wais_dgs_fw_trial5 Integer Recommended Trial 5 0; 1; 2
Query wais_dgs_bw_trial6 Integer Recommended Trial 6 0; 1; 2
Query wais_dgs_fw_trial6 Integer Recommended Trial 6 0; 1; 2
Query wais_dgs_bw_trial7 Integer Recommended Trial 7 0; 1; 2
Query wais_dgs_fw_trial7 Integer Recommended Trial 7 0; 1; 2
Query wais_dgs_fw_trial8 Integer Recommended Trial 8 0; 1; 2
Query wais_vcpo_diff Integer Recommended Verbal Comprehension - Perceptual Organization: Difference
Query wais_vcpo_frqdiff Float Recommended Verbal Comprehension - Perceptual Organization: Frequency of Difference in Standardization Sample
Query wais_vcpo_statsig Float Recommended Verbal Comprehension - Perceptual Organization: Statistical Significance
Query wais_vcps_diff Integer Recommended Verbal Comprehension - Processing Speed: Difference
Query wais_vcps_frqdiff Float Recommended Verbal Comprehension - Processing Speed: Frequency of Difference in Standardization Sample
Query wais_vcps_statsig Float Recommended Verbal Comprehension - Processing Speed: Statistical Significance
Query wais_vcwm_diff Integer Recommended Verbal Comprehension - Working Memory: Difference
Query wais_vcwm_frqdiff Float Recommended Verbal Comprehension - Working Memory: Frequency of Difference in Standardization Sample
Query wais_vcwm_statsig Float Recommended Verbal Comprehension - Working Memory: Statistical Significance
Query wais_vipi_diff Integer Recommended Verbal IQ - Performance IQ: Difference
Query wais_vipi_frqdiff Float Recommended Verbal IQ - Performance IQ: Frequency of Difference in Standardization Sample
Query wais_vipi_statsig Float Recommended Verbal IQ - Performance IQ: Statistical Significance
Query wais_inf_vessels Integer Recommended Vessels 0; 1
Query wais_nviq_iq Integer Recommended WAIS Non-Verbal IQ
Query wais_cmp_watches Integer Recommended Watches 0 :: 2
Query wais_inf_water Integer Recommended Water 0; 1
Query wais_inf_weeks Integer Recommended Weeks 0; 1
Query wais_vcb_winter Integer Recommended Winter 0; 1; 2
Query wais_pcc_woman Integer Recommended Woman 0; 1
Query wais_sml_wrkply Integer Recommended Work-play 0 :: 2
Query wais_wmps_diff Integer Recommended Working Memory - Processing Speed: Difference
wais_wmps_frqdiff String 255 Recommended Working Memory - Processing Speed: Frequency of Difference in Standardization Sample
Query wais_wmps_statsig Float Recommended Working Memory - Processing Speed: Statistical Significance
Query wais_inf_wrldpop Integer Recommended World Population 0; 1
Query wais_sml_ylwgrn Integer Recommended Yellow-Green 0 :: 2
Query wais_vcb_ystrdy Integer Recommended Yesterday 0; 1; 2
Query visit String 60 Recommended Visit name
visit_year Integer Recommended Year of visit
fi4t2 Integer Recommended Forward, Item 4, Trial 2 1;2;9 1=Correct; 2=Wrong; 9=Missing
fi5t1 Integer Recommended Forward, Item 5, Trial 1 1;2;9 1=Correct; 2=Wrong; 9=Missing
fi5t2 Integer Recommended Forward, Item 5, Trial 2 1;2;9 1=Correct; 2=Wrong; 9=Missing
fi6t1 Integer Recommended Forward, Item 6, Trial 1 1;2;9 1=Correct; 2=Wrong; 9=Missing
fi6t2 Integer Recommended Forward, Item 6, Trial 2 1;2;9 1=Correct; 2=Wrong; 9=Missing
fi7t1 Integer Recommended Forward, Item 7, Trial 1 1;2;9 1=Correct; 2=Wrong; 9=Missing
fi7t2 Integer Recommended Forward, Item 7, Trial 2 1;2;9 1=Correct; 2=Wrong; 9=Missing
fi8t1 Integer Recommended Forward, Item 8, Trial 1 1;2;9 1=Correct; 2=Wrong; 9=Missing
fi8t2 Integer Recommended Forward, Item 8, Trial 2 1;2;9 1=Correct; 2=Wrong; 9=Missing
bi1t1 Integer Recommended Backward, Item 1, Trial 1 1;2;9 1=Correct; 2=Wrong; 9=Missing
bi1t2 Integer Recommended Backward, Item 1, Trial 2 1;2;9 1=Correct; 2=Wrong; 9=Missing
bi2t1 Integer Recommended Backward, Item 2, Trial 1 1;2;9 1=Correct; 2=Wrong; 9=Missing
bi2t2 Integer Recommended Backward, Item 2, Trial 2 1;2;9 1=Correct; 2=Wrong; 9=Missing
bi3t1 Integer Recommended Backward, Item 3, Trial 1 1;2;9 1=Correct; 2=Wrong; 9=Missing
bi3t2 Integer Recommended Backward, Item 3, Trial 2 1;2;9 1=Correct; 2=Wrong; 9=Missing
bi4t1 Integer Recommended Backward, Item 4, Trial 1 1;2;9 1=Correct; 2=Wrong; 9=Missing
bi4t2 Integer Recommended Backward, Item 4, Trial 2 1;2;9 1=Correct; 2=Wrong; 9=Missing
bi5t1 Integer Recommended Backward, Item 5, Trial 1 1;2;9 1=Correct; 2=Wrong; 9=Missing
bi5t2 Integer Recommended Backward, Item 5, Trial 2 1;2;9 1=Correct; 2=Wrong; 9=Missing
bi6t1 Integer Recommended Backward, Item 6, Trial 1 1;2;9 1=Correct; 2=Wrong; 9=Missing
fi1t1 Integer Recommended Forward, Item 1, Trial 1 1;2;9 1=Correct; 2=Wrong; 9=Missing
bi6t2 Integer Recommended Backward, Item 6, Trial 2 1;2;9 1=Correct; 2=Wrong; 9=Missing
bi7t1 Integer Recommended Backward, Item 7, Trial 1 1;2;9 1=Correct; 2=Wrong; 9=Missing
bi7t2 Integer Recommended Backward, Item 7, Trial 2 1;2;9 1=Correct; 2=Wrong; 9=Missing
dst Integer Recommended Digit Span Total (Forward and Back Raw Scores) 0::30; 96 96 = Missing
digit_sym_coding_compl_time Integer Recommended Digit Symbol - Coding Completion Time 0::120; 994::998 994=Refused to Answer; 995=Do not Know; 996=Missing; 997=Accidentally Skipped; 998=Purposely Skipped
digit_sym_coding_total_raw Integer Recommended Digit Symbol - Coding Total Raw Score 0::133; 994::998 994=Refused to Answer; 995=Do not Know; 996=Missing; 997=Accidentally Skipped; 998=Purposely Skipped
symbol_search_compl_time Integer Recommended Symbol Search Completion Time 0::120; 994::998 994=Refused to Answer; 995=Do not Know; 996=Missing; 997=Accidentally Skipped; 998=Purposely Skipped
symbol_search_num_correct Integer Recommended Symbol Search Number Correct 0::60; 94::98 94=Refused to Answer; 95=Do not Know; 96=Missing; 97=Accidentally Skipped; 98=Purposely Skipped
symbol_search_num_incorrect Integer Recommended Symbol Search Number Incorrect 0::60; 94::98 94=Refused to Answer; 95=Do not Know; 96=Missing; 97=Accidentally Skipped; 98=Purposely Skipped
symbol_search_total_raw Integer Recommended Symbol Search Total Raw Score 0::60; 94::98 94=Refused to Answer; 95=Do not Know; 96=Missing; 97=Accidentally Skipped; 98=Purposely Skipped
fi1t2 Integer Recommended Forward, Item 1, Trial 2 1;2;9 1=Correct; 2=Wrong; 9=Missing
fi2t1 Integer Recommended Forward, Item 2, Trial 1 1;2;9 1=Correct; 2=Wrong; 9=Missing
fi2t2 Integer Recommended Forward, Item 2, Trial 2 1;2;9 1=Correct; 2=Wrong; 9=Missing
fi3t1 Integer Recommended Forward, Item 3, Trial 1 1;2;9 1=Correct; 2=Wrong; 9=Missing
fi3t2 Integer Recommended Forward, Item 3, Trial 2 1;2;9 1=Correct; 2=Wrong; 9=Missing
fi4t1 Integer Recommended Forward, Item 4, Trial 1 1;2;9 1=Correct; 2=Wrong; 9=Missing
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.