View in EDS

Some Methodological Considerations in the Testing of Rasch Model Claims.

Saved in:
Bibliographic Details
Title: Some Methodological Considerations in the Testing of Rasch Model Claims.
Authors: Ramaswamy, T.
Peer Reviewed: N
Page Count: 28
Document Type: Reports - Research
Descriptors: Ability, Cloze Procedure, Correlation, Hypothesis Testing, Individual Differences, Item Analysis, Literature Reviews, Measurement Techniques, Models, Prediction, Predictor Variables, Probability, Response Style (Tests), Statistical Analysis, Testing
Abstract: The Rasch item analysis model is supposed to yield norm-free estimates of ability and easiness values, but there are several possible interpretations of the nature and extent of such norm-freeness. One such interpretation was that to involve the scores of one single experimental group of testees which were embedded in four differently skewed distributions of other scores, the testees had been administered easy and hard sets of items for the verifications of person-free and item-free ability estimations. Similarly for the verifications of person-and item-free easiness estimation by the Rasch model, the study involved the formation of four differently skewed sets of items in terms of their proportion right easiness values among which the same single set of experimental items had been embedded. These four sets of items were administered to bright and dumb groups of examinees. The no-guessing and constant discrimination power assumptions of the Rasch model were respectively made to be satisfied by using the cloze test blanks as items and by removing those blanks outside a narrow range of discrimination indices. Because of the possibility that the estimation errors may critically depend on the number of ties at each raw score level making the Rasch estimates of ability and easiness statistically different from one group of examinees or set of items at each of these score levels, a linear prediction model was used with the raw pupil scores or item easiness as predictors. (Author)
Entry Date: 1976
Accession Number: ED111868
Database: ERIC
FullText Text:
  Availability: 0
CustomLinks:
  – Url: https://eric.ed.gov/contentdelivery/servlet/ERICServlet?accno=ED111868
    Name: ERIC Full Text
    Category: fullText
    Text: Full Text from ERIC
Header DbId: eric
DbLabel: ERIC
An: ED111868
AccessLevel: 3
PubType: Report
PubTypeId: report
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Some Methodological Considerations in the Testing of Rasch Model Claims.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Ramaswamy%2C+T%2E%22">Ramaswamy, T.</searchLink>
– Name: PeerReviewed
  Label: Peer Reviewed
  Group: SrcInfo
  Data: N
– Name: Pages
  Label: Page Count
  Group: Src
  Data: 28
– Name: TypeDocument
  Label: Document Type
  Group: TypDoc
  Data: Reports - Research
– Name: Subject
  Label: Descriptors
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Ability%22">Ability</searchLink><br /><searchLink fieldCode="DE" term="%22Cloze+Procedure%22">Cloze Procedure</searchLink><br /><searchLink fieldCode="DE" term="%22Correlation%22">Correlation</searchLink><br /><searchLink fieldCode="DE" term="%22Hypothesis+Testing%22">Hypothesis Testing</searchLink><br /><searchLink fieldCode="DE" term="%22Individual+Differences%22">Individual Differences</searchLink><br /><searchLink fieldCode="DE" term="%22Item+Analysis%22">Item Analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Literature+Reviews%22">Literature Reviews</searchLink><br /><searchLink fieldCode="DE" term="%22Measurement+Techniques%22">Measurement Techniques</searchLink><br /><searchLink fieldCode="DE" term="%22Models%22">Models</searchLink><br /><searchLink fieldCode="DE" term="%22Prediction%22">Prediction</searchLink><br /><searchLink fieldCode="DE" term="%22Predictor+Variables%22">Predictor Variables</searchLink><br /><searchLink fieldCode="DE" term="%22Probability%22">Probability</searchLink><br /><searchLink fieldCode="DE" term="%22Response+Style+%28Tests%29%22">Response Style (Tests)</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+Analysis%22">Statistical Analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Testing%22">Testing</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: The Rasch item analysis model is supposed to yield norm-free estimates of ability and easiness values, but there are several possible interpretations of the nature and extent of such norm-freeness. One such interpretation was that to involve the scores of one single experimental group of testees which were embedded in four differently skewed distributions of other scores, the testees had been administered easy and hard sets of items for the verifications of person-free and item-free ability estimations. Similarly for the verifications of person-and item-free easiness estimation by the Rasch model, the study involved the formation of four differently skewed sets of items in terms of their proportion right easiness values among which the same single set of experimental items had been embedded. These four sets of items were administered to bright and dumb groups of examinees. The no-guessing and constant discrimination power assumptions of the Rasch model were respectively made to be satisfied by using the cloze test blanks as items and by removing those blanks outside a narrow range of discrimination indices. Because of the possibility that the estimation errors may critically depend on the number of ties at each raw score level making the Rasch estimates of ability and easiness statistically different from one group of examinees or set of items at each of these score levels, a linear prediction model was used with the raw pupil scores or item easiness as predictors. (Author)
– Name: DateEntry
  Label: Entry Date
  Group: Date
  Data: 1976
– Name: AN
  Label: Accession Number
  Group: ID
  Data: ED111868
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eric&AN=ED111868
RecordInfo BibRecord:
  BibEntity:
    PhysicalDescription:
      Pagination:
        PageCount: 28
    Subjects:
      – SubjectFull: Ability
        Type: general
      – SubjectFull: Cloze Procedure
        Type: general
      – SubjectFull: Correlation
        Type: general
      – SubjectFull: Hypothesis Testing
        Type: general
      – SubjectFull: Individual Differences
        Type: general
      – SubjectFull: Item Analysis
        Type: general
      – SubjectFull: Literature Reviews
        Type: general
      – SubjectFull: Measurement Techniques
        Type: general
      – SubjectFull: Models
        Type: general
      – SubjectFull: Prediction
        Type: general
      – SubjectFull: Predictor Variables
        Type: general
      – SubjectFull: Probability
        Type: general
      – SubjectFull: Response Style (Tests)
        Type: general
      – SubjectFull: Statistical Analysis
        Type: general
      – SubjectFull: Testing
        Type: general
    Titles:
      – TitleFull: Some Methodological Considerations in the Testing of Rasch Model Claims.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Ramaswamy, T.
ResultId 1