rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    non sort: The
    title: Kernel method of test equating
  name:
    name part: Davier, Alina A. von.
    role:
      role term: creator
  name:
    name part: Holland, Paul W.
  name:
    name part: Thayer, Dorothy T.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: nyu
    date issued: 2004
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (xxii, 229 pages) : illustrations.
  abstract: Kernel Equating (KE) is a powerful, modern and unified approach to test equating. It is based on a flexible family of equipercentile-like equating functions and contains the linear equating function as a special case. Any equipercentile equating method has five steps or parts. They are: 1) pre-smoothing; 2) estimation of the score-probabilities on the target population; 3) continuization; 4) computing and diagnosing the equating function; 5) computing the standard error of equating and related accuracy measures. KE brings these steps together in an organized whole rather than treating them as disparate problems. KE exploits pre-smoothing by fitting log-linear models to score data, and incorporates it into step 5) above. KE provides new tools for diagnosing a given equating function, and for comparing two or more equating functions in order to choose between them. In this book, KE is applied to the four major equating designs and to both Chain Equating and Post-Stratification Equating for the Non-Equivalent groups with Anchor Test Design. This book will be an important reference for several groups: (a) Statisticians and others interested in the theory behind equating methods and the use of model-based statistical methods for data smoothing in applied work; (b) Practitioners who need to equate testsincluding those with these responsibilities in testing companies, state testing agencies and school districts; and (c) Instructors in psychometric and measurement programs. The authors assume some familiarity with linear and equipercentile test equating, and with matrix algebra. Alina von Davier is an Associate Research Scientist in the Center for Statistical Theory and Practice, at Educational Testing Service. She has been a research collaborator at the Universities of Trier, Magdeburg, and Kiel, an assistant professor at the Politechnical University of Bucharest and a research scientist at the Institute for Psychology in Bucharest. Paul Holland holds the Frederic M. Lord …
  note: Alina A. von Davier, Paul W. Holland, Dorothy T. Thayer.
  note: Electronic resource.
  note: Includes bibliographical references (pages [217]-222) and indexes.
  subject:
    topic: Examinations
    topic: Scoring
  subject:
    topic: Examinations
    topic: Interpretation
  subject:
    topic: Examinations
    topic: Design and construction
  subject:
    topic: Educational tests and measurements
    topic: Standards
  subject:
    topic: EDUCATION
    topic: Evaluation
  subject:
    topic: STUDY AIDS
    topic: Tests
  subject:
    topic: EDUCATION
    topic: Testing & Measurement
  subject:
    topic: Educational tests and measurements
    topic: Standards
  subject:
    topic: Examinations
    topic: Design and construction
  subject:
    topic: Examinations
    topic: Interpretation
  subject:
    topic: Examinations
    topic: Scoring
  classification: LB3060.77 .D38 2004eb
  classification: 371.26/01/3
  related item:
    title info:
      title: Kernel method of test equating
    name:
      name part: Davier, Alina A. von.
    origin info:
      publisher: New York : Springer, ©2004
    identifier: (DLC) 2003050494
    identifier: (OCoLC)52092088
  related item:
    title info:
      title: Statistics for social science and public policy
  identifier: 0387217193 (electronic bk.)
  identifier: 9780387217192 (electronic bk.)
  identifier: 0387019855
  identifier: 9780387019857
  identifier: https://proxy.library.tamu.edu/login
  related item:
    location:
      url: https://proxy.library.tamu.edu/login
  record info:
    record content source: N$T
    record creation date: 040709
    record change date: 20220105154822.0
    record identifier: in00002116146
    language of cataloging:
      language term: eng