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Filter Cart

The Filter Cart provides a powerful way to query and access data for which you may be interested.  

A few points related to the filter cart are important to understand with the NDA Query/Filter implementation: 

First, the filter cart is populated asyncronously.  So, when you run a query, it may take a moment to populate but this will happen in the background so you can define other queries during this time.  

When you are adding your first filter, all data associated with your query will be added to the filter cart (whether it be a collection, a concept, a study, a data structure/elment or subjects). Not all data structures or collections will necessarily be displayed.  For example, if you select the NDA imaging structure image03, and further restrict that query to scan_type fMRI, only fMRI images will appear and only the image03 structure will be shown.  To see other data structures, select "Find All Subject Data" which will query all data for those subjects. When a secord or third filter is applied, an AND condition is used.  A subject must exist in all filters.  If the subject does not appear in any one filter, that subjects data will not be included in your filter cart. If that happens, clear your filter cart, and start over.  

It is best to package more data than you need and access those data using other tools, independent of the NDA (e.g. miNDAR snapshot), to limit the data selected.  If you have any questions on data access, are interested in using avaialble web services, or need help accessing data, please contact us for assistance.  

Frequently Asked Questions



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CELF Preschool-2



Clinical Evaluation of Language Fundamentals - Preschool, Second Edition (CELF Preschool-2) (2004) as defined by University of Illinois at Chicago

Download Definition as
Download Submission Template as
Element NameData TypeSizeRequiredDescriptionValue RangeNotesAliases
subjectkeyGUIDRequiredThe NDAR Global Unique Identifier (GUID) for research subjectNDAR*Unique_ID
src_subject_idString20RequiredSubject ID how it's defined in lab/projectSubject_ID
interview_dateDateRequiredDate on which the interview/genetic test/sampling/imaging/biospecimen was completed. MM/DD/YYYYRequired fieldCELFP2_DOE
interview_ageIntegerRequiredAge in months at the time of the interview/test/sampling/imaging.0 :: 1260Age 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.CELFP2_CA
celfp2_measureString20RecommendedMeasure UsedCELF-P2
celfp2_yearString20RecommendedCELF-P2: year from published/most recent copywrite2004
celfp2_sents_rawIntegerRequiredSentence Structure. Raw Score0 :: 22; 999999 = Not available
celfp2_sents_scldIntegerRecommendedCELF-P2 Sentence Structure Scaled Score1 :: 19
celfp2_sents_percent_rkString20RecommendedSentence Structure. Percentile Rank
celfp2_sents_aeString10RecommendedCELF-P2 Sentence Structure Age Equivalent (in months)
celfp2_ws_rawIntegerRequiredWord Structure. Raw Score0 :: 24; 999999 = Not availablecelf_ws_raw
celfp2_ws_scldIntegerRecommendedCELF-P2 Word Structure Scaled Score1 :: 19celf_ws_scld_scr
celfp2_ws_percent_rkString20RecommendedWord Structure. Percentile Rank
celfp2_ws_aeString10RecommendedCELF-P2 Word Structure Age Equivalent (in months)celf_ws_ae
celfp2_ev_rawIntegerRequiredCELF-P2 Expressive Vocabulary Raw Score0 :: 40; 999999 = Not available
celfp2_ev_scldIntegerRecommendedCELF-P2 Expressive Vocabulary Scaled Score1 :: 19
celfp2_ev_percent_rkString20RecommendedCELF-P2 Expressive Vocabulary Scaled Score Percentile Rank (<0.1 to >99.9)
celfp2_ev_aeString10RecommendedCELF-P2 Expressive Vocabulary Age Equivalent (in months)
celfp2_cfd_rawIntegerRequiredCELF-P2 Concepts & Following Directions Raw Score0 :: 22; 999999 = Not available
celfp2_cfd_scldIntegerRecommendedCELF-P2 Concepts & Following Directions Scaled Score1 :: 19
celfp2_cfd_percent_rkString20RecommendedCELF-P2 Concepts & Following Directions Scaled Score Percentile Rank (<0.1 to >99.9)
celfp2_cfd_aeString10RecommendedCELF-P2 Concepts & Following Directions Age Equivalent (in months)
celfp2_rs_rawIntegerRequiredCELF-P2 Recalling Sentences Raw Score0 :: 39; 999999 = Not available
celfp2_rs_scldIntegerRecommendedCELF-P2 Recalling Sentences Scaled Score1 :: 19
celfp2_rs_percent_rkString20RecommendedCELF-P2 Recalling Sentences Scaled Score Percentile Rank (<0.1 to >99.9)
celfp2_rs_aeString10RecommendedCELF-P2 Recalling Sentences Age Equivalent (in months)
celfp2_bc_rawIntegerRequiredBasic Concepts. Raw Score0 :: 18; 999999 = Not available
celfp2_bc_scldIntegerRecommendedCELF-P2 Basic Concepts Scaled Score1 :: 19
celfp2_bc_percent_rkString20RecommendedBasic Concepts. Percentile Rank
celfp2_bc_aeString10RecommendedCELF-P2 Basic Concepts Age Equivalent (in months)
celfp2_wc_r_rawIntegerRequiredCELF-P2 Word Classes Receptive Raw Score0 :: 20; 999999 = Not available
celfp2_wc_r_scldIntegerRecommendedCELF-P2 Word Classes Receptive Scaled Score1 :: 19
celfp2_wc_r_percent_rkString20RecommendedCELF-P2 Word Classes Receptive Scaled Score Percentile Rank (<0.1 to >99.9)
celfp2_wc_r_aeString10RecommendedCELF-P2 Word Classes Receptive Age Equivalent (in months)
celfp2_wc_e_rawIntegerRequiredCELF-P2 Word Classes Expressive Raw Score0 :: 20; 999999 = Not available
celfp2_wc_e_scldIntegerRecommendedCELF-P2 Word Classes Expressive Scaled Score1 :: 19
celfp2_wc_e_percent_rkString20RecommendedCELF-P2 Word Classes Expressive Scaled Score Percentile Rank (<0.1 to >99.9)
celfp2_wc_e_aeString10RecommendedCELF-P2 Word Classes Expressive Age Equivalent (in months)
celfp2_wc_t_rawIntegerRequiredCELF-P2 Word Classes Total Raw Score (Ages 4-6)0 :: 40; 999999 = Not available
celfp2_wc_rplswc_e_scld_sumIntegerRecommendedCELF-P2 Word Classes Sum of WC-R and WC-E Scaled Scores2 :: 38
celfp2_wc_t_scldIntegerRecommendedCELF-P2 Word Classes Total Scaled Score1 :: 19
celfp2_wc_t_percent_rkString20RecommendedCELF-P2 Word Classes Total Scaled Score Percentile Rank (<0.1 to >99.9)
celfp2_wc_t_aeString10RecommendedCELF-P2 Word Classes Total Age Equivalent (in months)
celfp2_cl_sumIntegerRecommendedCELF-P2 Core Language Sum of Scaled Scores3 :: 57celf_cl_Sum_scld_scr
celfp2_cl_ssIntegerRecommendedCELF-P2 Core Language Standard Score45 :: 155celf_cl_ss
celfp2_cl_percent_rkString20RecommendedCELF-P2 Core Language Percentile Rank (<0.1 to >99.9)
celfp2_rli_sumIntegerRecommendedCELF-P2 Receptive Language Index Sum of Scaled Scores3 :: 57
celfp2_rli_ssIntegerRecommendedCELF-P2 Receptive Language Index Standard Score45 :: 155
celfp2_rli_percent_rkString20RecommendedCELF-P2 Receptive Language Index Percentile Rank (<0.1 to >99.9)
celfp2_eli_sumIntegerRecommendedCELF-P2 Expressive Language Index Sum of Scaled Scores3 :: 57
celfp2_eli_ssIntegerRecommendedCELF-P2 Expressive Language Index Standard Score45 :: 155
celfp2_eli_percent_rkString20RecommendedCELF-P2 Expressive Language Index Percentile Rank (<0.1 to >99.9)
celfp2_lci_sumIntegerRecommendedCELF-P2 Language Content Index Sum of Scaled Scores3 :: 57
celfp2_lci_ssIntegerRecommendedCELF-P2 Language Content Index Standard Score45 :: 155
celfp2_lci_percent_rkString20RecommendedCELF-P2 Language Content Index Percentile Rank (<0.1 to >99.9)
celfp2_lsi_sumIntegerRecommendedCELF-P2 Language Structure Index Sum of Scaled Scores3 :: 57
celfp2_lsi_ssIntegerRecommendedCELF-P2 Language Structure Index Standard Score45 :: 155
celfp2_lsi_percent_rkString20RecommendedCELF-P2 Language Structure Index Percentile Rank (<0.1 to >99.9)
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.

Distribution for DataStructure: celf_p201 and Element:
Chart Help

Filters enable researchers to view the data shared in NDA before applying for access or for selecting specific data for download or NDA Study assignment. For those with access to NDA shared data, you may select specific values to be included by selecting an individual bar chart item or by selecting a range of values (e.g. interview_age) using the "Add Range" button. Note that not all elements have appropriately distinct values like comments and subjectkey and are not available for filtering. Additionally, item level detail is not always provided by the research community as indicated by the number of null values given.

Filters for multiple data elements within a structure are supported. Selections across multiple data structures will be supported in a future version of NDA.