View in EDS

The Role of Secondary Covariates When Estimating Latent Trait Population Distributions.

Saved in:
Bibliographic Details
Title: The Role of Secondary Covariates When Estimating Latent Trait Population Distributions.
Language: English
Authors: Thomas, Neal
Source: Psychometrika. Mar 2002 67(1):33-48.
Peer Reviewed: Y
Page Count: 16
Publication Date: 2002
Document Type: Journal Articles
Reports - Research
Descriptors: Elementary Education, Elementary School Students, Estimation (Mathematics), Junior High School Students, Junior High Schools, Matrices, Multivariate Analysis, Population Distribution, Sampling
Assessment and Survey Identifiers: National Assessment of Educational Progress
ISSN: 0033-3123
Abstract: Studied the improvement in precision of population estimates from the inclusion of extensive covariates in the multivariate procedure that imputes values for the missing proficiencies. Analysis of data from the National Assessment of Educational Progress (samples of 10,291 eighth graders and 8,416 fourth graders) shows that improvement in precision depends on the matrix sampling designs for the cognitive assessments. (SLD)
Entry Date: 2003
Accession Number: EJ669025
Database: ERIC
FullText Text:
  Availability: 0
Header DbId: eric
DbLabel: ERIC
An: EJ669025
AccessLevel: 3
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: The Role of Secondary Covariates When Estimating Latent Trait Population Distributions.
– Name: Language
  Label: Language
  Group: Lang
  Data: English
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Thomas%2C+Neal%22">Thomas, Neal</searchLink>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="SO" term="%22Psychometrika%22"><i>Psychometrika</i></searchLink>. Mar 2002 67(1):33-48.
– Name: PeerReviewed
  Label: Peer Reviewed
  Group: SrcInfo
  Data: Y
– Name: Pages
  Label: Page Count
  Group: Src
  Data: 16
– Name: DatePubCY
  Label: Publication Date
  Group: Date
  Data: 2002
– Name: TypeDocument
  Label: Document Type
  Group: TypDoc
  Data: Journal Articles<br />Reports - Research
– Name: Subject
  Label: Descriptors
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Elementary+Education%22">Elementary Education</searchLink><br /><searchLink fieldCode="DE" term="%22Elementary+School+Students%22">Elementary School Students</searchLink><br /><searchLink fieldCode="DE" term="%22Estimation+%28Mathematics%29%22">Estimation (Mathematics)</searchLink><br /><searchLink fieldCode="DE" term="%22Junior+High+School+Students%22">Junior High School Students</searchLink><br /><searchLink fieldCode="DE" term="%22Junior+High+Schools%22">Junior High Schools</searchLink><br /><searchLink fieldCode="DE" term="%22Matrices%22">Matrices</searchLink><br /><searchLink fieldCode="DE" term="%22Multivariate+Analysis%22">Multivariate Analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Population+Distribution%22">Population Distribution</searchLink><br /><searchLink fieldCode="DE" term="%22Sampling%22">Sampling</searchLink>
– Name: SubjectThesaurus
  Label: Assessment and Survey Identifiers
  Group: Su
  Data: <searchLink fieldCode="SU" term="%22National+Assessment+of+Educational+Progress%22">National Assessment of Educational Progress</searchLink>
– Name: ISSN
  Label: ISSN
  Group: ISSN
  Data: 0033-3123
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Studied the improvement in precision of population estimates from the inclusion of extensive covariates in the multivariate procedure that imputes values for the missing proficiencies. Analysis of data from the National Assessment of Educational Progress (samples of 10,291 eighth graders and 8,416 fourth graders) shows that improvement in precision depends on the matrix sampling designs for the cognitive assessments. (SLD)
– Name: DateEntry
  Label: Entry Date
  Group: Date
  Data: 2003
– Name: AN
  Label: Accession Number
  Group: ID
  Data: EJ669025
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eric&AN=EJ669025
RecordInfo BibRecord:
  BibEntity:
    Languages:
      – Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 16
        StartPage: 33
    Subjects:
      – SubjectFull: Elementary Education
        Type: general
      – SubjectFull: Elementary School Students
        Type: general
      – SubjectFull: Estimation (Mathematics)
        Type: general
      – SubjectFull: Junior High School Students
        Type: general
      – SubjectFull: Junior High Schools
        Type: general
      – SubjectFull: Matrices
        Type: general
      – SubjectFull: Multivariate Analysis
        Type: general
      – SubjectFull: Population Distribution
        Type: general
      – SubjectFull: Sampling
        Type: general
      – SubjectFull: National Assessment of Educational Progress
        Type: general
    Titles:
      – TitleFull: The Role of Secondary Covariates When Estimating Latent Trait Population Distributions.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Thomas, Neal
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2002
          Identifiers:
            – Type: issn-print
              Value: 0033-3123
          Numbering:
            – Type: volume
              Value: 67
            – Type: issue
              Value: 1
          Titles:
            – TitleFull: Psychometrika
              Type: main
ResultId 1