View in EDS

Incorporating Measurement Errors in Fixed Person Parameter Calibration

Saved in:
Bibliographic Details
Title: Incorporating Measurement Errors in Fixed Person Parameter Calibration
Language: English
Authors: Ikkyu Choi, Yi Cao, Hongwen Guo, Zhuangzhuang Han, Sooyeon Kim
Source: Journal of Educational Measurement. 2026 63(1).
Availability: Wiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: cs-journals@wiley.com; Web site: https://www.wiley.com/en-us
Peer Reviewed: Y
Page Count: 28
Publication Date: 2026
Document Type: Journal Articles
Reports - Research
Descriptors: Error of Measurement, Ability, Computation, Bayesian Statistics, Sample Size, Test Items
DOI: 10.1111/jedm.70035
ISSN: 0022-0655
1745-3984
Abstract: In this study, we propose a new fixed person parameter calibration (FPC) strategy that incorporates measurement error in examinee ability estimates. Specifically, the proposed FPC method is an application of the mixed-effect structural equation model of Junker et al. (2012) to the small-sample item calibration context and relies on a Bayesian iterative sampling procedure for parameter estimation. We evaluated the proposed FPC method using simulated data sets that varied in terms of sample size, item composition, and examinee ability distribution. The parameter recovery performance of the proposed method was compared to those from alternative small-sample calibration methods two other FPC methods and the state-of-the-art fixed item parameter calibration (FIC) method. The results from the simulation study showed that the proposed method consistently outperformed the compared FPC and FIC methods. The encouraging performance of the proposed method demonstrates the impact of properly accounting for measurement error and provides a justification for its use as a competent small-sample item calibration method.
Abstractor: As Provided
Entry Date: 2026
Accession Number: EJ1501285
Database: ERIC
FullText Text:
  Availability: 0
Header DbId: eric
DbLabel: ERIC
An: EJ1501285
AccessLevel: 3
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Incorporating Measurement Errors in Fixed Person Parameter Calibration
– Name: Language
  Label: Language
  Group: Lang
  Data: English
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Ikkyu+Choi%22">Ikkyu Choi</searchLink><br /><searchLink fieldCode="AR" term="%22Yi+Cao%22">Yi Cao</searchLink><br /><searchLink fieldCode="AR" term="%22Hongwen+Guo%22">Hongwen Guo</searchLink><br /><searchLink fieldCode="AR" term="%22Zhuangzhuang+Han%22">Zhuangzhuang Han</searchLink><br /><searchLink fieldCode="AR" term="%22Sooyeon+Kim%22">Sooyeon Kim</searchLink>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="SO" term="%22Journal+of+Educational+Measurement%22"><i>Journal of Educational Measurement</i></searchLink>. 2026 63(1).
– Name: Avail
  Label: Availability
  Group: Avail
  Data: Wiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: cs-journals@wiley.com; Web site: https://www.wiley.com/en-us
– Name: PeerReviewed
  Label: Peer Reviewed
  Group: SrcInfo
  Data: Y
– Name: Pages
  Label: Page Count
  Group: Src
  Data: 28
– Name: DatePubCY
  Label: Publication Date
  Group: Date
  Data: 2026
– Name: TypeDocument
  Label: Document Type
  Group: TypDoc
  Data: Journal Articles<br />Reports - Research
– Name: Subject
  Label: Descriptors
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Error+of+Measurement%22">Error of Measurement</searchLink><br /><searchLink fieldCode="DE" term="%22Ability%22">Ability</searchLink><br /><searchLink fieldCode="DE" term="%22Computation%22">Computation</searchLink><br /><searchLink fieldCode="DE" term="%22Bayesian+Statistics%22">Bayesian Statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Sample+Size%22">Sample Size</searchLink><br /><searchLink fieldCode="DE" term="%22Test+Items%22">Test Items</searchLink>
– Name: DOI
  Label: DOI
  Group: ID
  Data: 10.1111/jedm.70035
– Name: ISSN
  Label: ISSN
  Group: ISSN
  Data: 0022-0655<br />1745-3984
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: In this study, we propose a new fixed person parameter calibration (FPC) strategy that incorporates measurement error in examinee ability estimates. Specifically, the proposed FPC method is an application of the mixed-effect structural equation model of Junker et al. (2012) to the small-sample item calibration context and relies on a Bayesian iterative sampling procedure for parameter estimation. We evaluated the proposed FPC method using simulated data sets that varied in terms of sample size, item composition, and examinee ability distribution. The parameter recovery performance of the proposed method was compared to those from alternative small-sample calibration methods two other FPC methods and the state-of-the-art fixed item parameter calibration (FIC) method. The results from the simulation study showed that the proposed method consistently outperformed the compared FPC and FIC methods. The encouraging performance of the proposed method demonstrates the impact of properly accounting for measurement error and provides a justification for its use as a competent small-sample item calibration method.
– Name: AbstractInfo
  Label: Abstractor
  Group: Ab
  Data: As Provided
– Name: DateEntry
  Label: Entry Date
  Group: Date
  Data: 2026
– Name: AN
  Label: Accession Number
  Group: ID
  Data: EJ1501285
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eric&AN=EJ1501285
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1111/jedm.70035
    Languages:
      – Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 28
    Subjects:
      – SubjectFull: Error of Measurement
        Type: general
      – SubjectFull: Ability
        Type: general
      – SubjectFull: Computation
        Type: general
      – SubjectFull: Bayesian Statistics
        Type: general
      – SubjectFull: Sample Size
        Type: general
      – SubjectFull: Test Items
        Type: general
    Titles:
      – TitleFull: Incorporating Measurement Errors in Fixed Person Parameter Calibration
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Ikkyu Choi
      – PersonEntity:
          Name:
            NameFull: Yi Cao
      – PersonEntity:
          Name:
            NameFull: Hongwen Guo
      – PersonEntity:
          Name:
            NameFull: Zhuangzhuang Han
      – PersonEntity:
          Name:
            NameFull: Sooyeon Kim
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 03
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
              Value: 0022-0655
            – Type: issn-electronic
              Value: 1745-3984
          Numbering:
            – Type: volume
              Value: 63
            – Type: issue
              Value: 1
          Titles:
            – TitleFull: Journal of Educational Measurement
              Type: main
ResultId 1