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:
    title: Multidimensional Item Response Theory
  name:
    name part: Reckase, M.D.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxu
    date issued: 2009
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: X, 354 p. online resource.
  abstract: Multidimensional Item Response Theory is the first book to give thorough coverage to this emerging area of psychometrics. The book describes the commonly used multidimensional item response theory (MIRT) models and the important methods needed for their practical application. These methods include ways to determine the number of dimensions required to adequately model data, procedures for estimating model parameters, ways to define the space for a MIRT model, and procedures for transforming calibrations from different samples to put them in the same space. A full chapter is devoted to methods for multidimensional computerized adaptive testing. The text is appropriate for an advanced course in psychometric theory or as a reference work for those interested in applying MIRT methodology. A working knowledge of unidimensional item response theory and matrix algebra is assumed. Knowledge of factor analysis is also helpful. Mark D. Reckase is a professor of Measurement and Quantitative Methods in the College of Education at Michigan State University. He has been president of the National Council of Measurement in Education, Vice President of Division D of the American Educational Research Association, on the Board of Trustees of the Psychometric Society, and the editor of Applied Psychological Measurement and the Journal of Educational Measurement. He has been doing research in the area of MIRT since 1972.
  table of contents: Unidimensional Item Response Theory Models -- Historical Background for Multidimensional Item Response Theory (MIRT) -- Multidimensional Item Response Theory Models -- Statistical Descriptions of Item and Test Functioning -- Estimation of Item and Person Parameters -- Analyzing the Structure of Test Data -- Transforming Parameter Estimates to a Specified Coordinate System -- Linking and Scaling -- Computerized Adaptive Testing Using MIRT.
  note: by M.D. Reckase.
  subject:
    topic: Statistics
  subject:
    topic: Computer simulation
  subject:
    topic: Social sciences
  subject:
    topic: Psychology
    topic: Methodology
  subject:
    topic: Psychological measurement
  subject:
    topic: Psychometrics
  subject:
    topic: Statistics
  subject:
    topic: Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law
  subject:
    topic: Psychometrics
  subject:
    topic: Simulation and Modeling
  subject:
    topic: Psychological Methods/Evaluation
  subject:
    topic: Methodology of the Social Sciences
  classification: QA276-280
  classification: 519.5
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Statistics for Social and Behavioral Sciences
  identifier: 9780387899763
  identifier: http://dx.doi.org/10.1007/978-0-387-89976-3
  record info:
    record creation date: 110414
    record change date: 20151125221015.0
    record identifier: 978-0-387-89976-3