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: Comparison of Johnson-Neyman, Mantel-Haenszel and partial correlation procedures for detecting differential item performance for moderate sample size
  name:
    name part: Majumdar, Dipti Goswami
    name part: 1944-
    role:
      role term: creator
  name:
    name part: Willson, Victor L.
    role:
      role term: degree supervisor.
  name:
    name part: Barker, Donald G.
    role:
      role term: degree committee member.
  name:
    name part: Martin, David J.
    role:
      role term: degree committee member.
  name:
    name part: Zellner, Ronald D.
    role:
      role term: degree committee member.
  name:
    name part: Texas A & M University
    role:
      role term: degree granting institution.
  type of resource: text
  genre: bibliography
  genre: Statistics.
  genre: Academic theses
  origin info:
    place:
      place term: xx
    date issued: 1991
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: print
    extent: xi, 132 leaves : illustrations ; 29 cm
  abstract: Three statistical techniques for detecting differential item performance (DIP) namely, the partial correlation (PC), the Mantel-Haenszel (MH) method, and the Johnson-Neyman (JN) procedure, were empirically compared for moderate sample size. In a Monte Carlo study the three techniques were compared for cases based on two different number of items (25, 50), two sample sizes (50, 100), three types of bias (uniform bias, intercept; non-uniform bias, slope; and both bias combined, intercept-slope), and two levels of bias (moderate, high). A total of 28 test conditions were each replicated 1000 times from simulation data generated by computer. Actual data from a standardization sample were analyzed. From the results it appears that the JN technique is more conservative under the null hypothesis case, while being more powerful than the PC and the MH procedures in detecting non-uniform (slope) bias. However, in case of uniform (intercept) bias, the JN seems to be as powerful as the PC and the MH procedures. When intercept and slope bias are combined, use of both the JN and the MH procedures may yield better results. Further, the JN technique is more informative than the other two methods in determining regions of significance across the ability dimension.
  note: Typescript (photocopy).
  note: Vita.
  note: "Major subject: Educational Psychology."
  note: Ph. D. Texas A & M University 1991
  note: Includes bibliographical references.
  subject:
    topic: Test bias
    topic: Evaluation
  subject:
    topic: Test bias
    genre: Statistics
  subject:
    topic: Examinations
    topic: Validity
  subject:
    topic: Major educational psychology
  subject:
    topic: Test bias
  identifier: http://proxy.library.tamu.edu/login
  related item:
    location:
      url: http://proxy.library.tamu.edu/login
  record info:
    record content source: TXA
    record creation date: 921222
    record change date: 20200904152557.0
    record identifier: in00001110311
    language of cataloging:
      language term: eng