An equating method of two latent ability scales by using subjects estimated scale values and test informations

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2 Citations (Scopus)

Abstract

The purpose of this study is to propose an equating method for equating two latent ability scales (scale θ & θ) by using subjects estimated ability scale values and test information functions. This method uses asymptotic property of maximum likelihood estimator's distribution. The practical application of this method is demonstrated by using a part of the test for word meaning comprehension (Shiba & Noguchi; 1982). As a result the computer simulation shows that this method has smaller error of estimate than Noguchi's (1983).

Original languageEnglish
Pages (from-to)163-167
Number of pages5
JournalJapanese Journal of Educational Psychology
Volume34
Issue number2
DOIs
Publication statusPublished - 1986
Externally publishedYes

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Aptitude
ability
Values
computer simulation
Computer Simulation
comprehension

Keywords

  • Computer Simulation
  • Equating
  • Latent Ability Scale
  • Maximum Likelihood Estimator
  • Test Information Function

ASJC Scopus subject areas

  • Education
  • Developmental and Educational Psychology

Cite this

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AB - The purpose of this study is to propose an equating method for equating two latent ability scales (scale θ∗ & θ) by using subjects estimated ability scale values and test information functions. This method uses asymptotic property of maximum likelihood estimator's distribution. The practical application of this method is demonstrated by using a part of the test for word meaning comprehension (Shiba & Noguchi; 1982). As a result the computer simulation shows that this method has smaller error of estimate than Noguchi's (1983).

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KW - Test Information Function

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