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Monday, August 10, 2020 | History

4 edition of Detecting DIF for polytomously scored items found in the catalog.

Detecting DIF for polytomously scored items

Detecting DIF for polytomously scored items

an adaptation of the SIBTEST procedure

  • 377 Want to read
  • 32 Currently reading

Published by Educational Testing Service, U.S. Dept. of Education, Office of Educational Research and Improvement, Educational Resources Information Center in Princeton, N.J, [Washington, DC] .
Written in English

    Subjects:
  • Identification,
  • Robust statistics

  • Edition Notes

    Other titlesAdaptation of the SIBTEST procedure.
    StatementHua-Hua Chang, John Mazzeo, Louis Roussos.
    ContributionsMazzeo, John., Roussos, Louis A. 1955-, Educational Resources Information Center (U.S.)
    The Physical Object
    FormatMicroform
    Pagination1 v.
    ID Numbers
    Open LibraryOL16268322M
    OCLC/WorldCa35677270

    Some of these new item types can be polytomously scored. DIF methodology is well-defined for traditional dichotomously scored multiple-choice items. This paper provides a classification scheme of DIF procedures for dichotomously scored items that is applicable to new DIF procedures for polytomously scored items. In the process, a formal Cited by: Identifying nonuniform DIF in polytomously scored test items. Iowa City, Iowa: American College Testing Program, © (OCoLC) Document Type: Book: All Authors / Contributors: Judith A Spray; Timothy R Miller; American College Testing Program.

    The purpose of this study was to evaluate the effectiveness of two methods of detecting differential item functioning (DIF) in the presence of multilevel data and polytomously scored items. The assessment of DIF with multilevel data (e.g., patients nested within hospitals, hospitals nested within districts) from large-scale assessment programs Cited by: 2. As part of test score validity, differential item functioning (DIF) is a quantitative characteristic used to evaluate potential item bias. In applications where a small number of examinees take a test, statistical power of DIF detection methods may be affected. Researchers have proposed modifications to DIF detection methods to account for small focal group examinee sizes for the case when Cited by: 1.

    1. Introduction. Differential item functioning DIF analysis is typically used to identify test items that are differentially difficult for respondents who have the same Ability level of knowledge or skill but differ in ways that should be irrelevant to their performance on a test is a collection of statistical methods utilized to determine if examination items are appropriate and fair Author: Ferdinand Ukanda, Lucas Othuon, John Agak, Paul Oleche. NAEP Technical Documentation Polytomously Scored Items. Enhanced procedures are employed for constructed-response items that are scored polytomously. Methods parallel to those used for dichotomously scored items result in values reported for each distinct response category for the item. Response categories for each item are defined in two ways—one using the original codes for .


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Detecting DIF for polytomously scored items Download PDF EPUB FB2

Detecting DIF for Polytomously Scored Items: An Adaptation of the SIBTEST ProcedureCited by: detecting dif for polytomously scored items: an adaptation of the sibtest procedure. Recently, R. Shealy and W. Stout () proposed a procedure for detecting differential item functioning (DIF) called SIBTEST.

Current versions of SIBTEST can only be used for dichotomously scored items, but this paper presents an extension to handle polytomous : Hua-Hua Chang. Detecting DIF for Polytomously Scored Items: An Adaptation of the SIBTEST Procedure Hua-Hua Chang John Mazzeo Louis Roussos Abstract Shealy and Stout () proposed a DIF detection procedure called SIBTEST and demonstrated its utility with both simulated and real data sets.

Current versions of SIBTEST can be used only for dichotomous items. Detecting DIF for Polytomously Scored Items: An Adaptation of the SIBTEST Procedure. detecting dif in polytomously scored testlet based items: a simulation study via bayesian mcmc estimation by wei xu a dissertation presented to the graduate school of the university of florida in partial fulfillment of the requirements for the degree of doctor of Detecting DIF for polytomously scored items book university of florida page 2 wei xu page 3 t o my mom page 4.

Request PDF | Detecting DIF for polytomously scored items: An adaptation of the SIBTEST procedure | Shealy and Stout () proposed a DIF detection procedure called SIBTEST and demonstrated its. Detecting DIF for Polytomously Scored Items: An Adaptation of the SIBTEST Procedure.

Chang, Hua-Hua; And Others. Journal of Educational Measurement, v33 n3 p Fall An extension to the SIBTEST procedure of R. Shealy and W. Stout () to detect differential item functioning (DIF) is proposed to handle polytomous items.

Cited by: title = "Detecting DIF for polytomously scored items: An adaptation of the SIBTEST procedure", abstract = "Shealy and Stout () proposed a DIF detection procedure called SIBTEST and demonstrated its utility with both simulated and real data by: polytomously-scored test items under different conditions.

The use of step difficulty parameter estimates should provide a much better idea about the functioning of polytomous-scored items over the proficiency scale. For instance, there could be situations where some steps become easier and some steps become harder in a polytomous Size: KB. Detecting DIF for Polytomously Scored Items: An Adaptation of the SIBTEST Procedure Hua-Hua Chang and John Mazzeo Educational Testing Service Louis Roussos Law School Admission Council Shealy and Stout () proposed a DIF detection procedure called SIBTEST and demonstrated its utility with both simulated and real data sets.

Current. Data from a large-scale performance assessment (N= ,) were analyzed with five differential item functioning (DIF) detection methods for polytomous items to examine the congruence among the.

Another method proposed to detect situations of nonuniform DIF in polytomous items is called logistic discriminant function analysis (LDFA). This method has recently been suggested as a useful procedure for the identification of DIF (both uniform and nonuniform cases) in.

Detecting DIF for polytomously scored items: An adaptation of the SIBTEST procedure (Research Rep. Princeton NJ: Educational Testing Service.

Google ScholarCited by: DIF Assessment for Polytomously Scored Items: A Framework for Classification and Evaluation Maria T. Potenza and Neil J. Dorans Educational Testing Service Increased use of alternatives to the traditional di-chotomously scored multiple-choice item yield com-plex responses that require complex scoring rules.

Detecting DIF for polytomously scored items: an adaptation of the SIBTEST procedure Author: Hua-Hua Chang ; John Mazzeo ; Louis Roussos ; Educational Resources Information Center (U.S.). Detecting differential item functioning using generalized logistic regression in the context of large-scale assessments Potenza MT, Dorans NJ: DIF assessment for polytomously scored items: a framework for Rutkowski, L.

Detecting differential item functioning using generalized logistic regression in the context of large-scale assessmentsCited by: 3. It was found that (1) logistic regression is effective in detecting both uniform and non-uniform DIF and can be applied to detect polytomously 25 Supa Apinyapibal et al.

/ Procedia - Social and Behavioral Sciences () 21 – 25 scored DIF; the analysis model is flexible and easy to use; it can also be used to detect DIF with Cited by: 2. Differential item functioning (DIF) is a threat to the validity of a patient-reported outcome (PRO) instrument.

DIF occurs when subjects on the same level of the latent trait, such as disease severity, answer differently to the same item depending on their group memberships (e.g., age group, gender, race) (Chang, ; Holland & Thayer, ).The validity of the instrument is threatened.

Methods for detecting differential item functioning (DIF) are now commonly used to identify potentially biased items. A Comparison of Four Methods for Detecting Differential Item Functioning in Ordered Response Items Show all authors.

Identifying nonuniform DIF in polytomously scored test items (American College Testing Research Report Cited by:. Testing for Differential Item Functioning in Performance Assessments Michelle Y.

Chen1, scored items or polytomously scored items with few possible scoring categories 9. Testing for differential item functioning with no internal matching variable and continuous item.Detecting DIF for Polytomously Scored Items: An Adaptation of the SIBTEST Procedure (ETS Research Report RR).

Princeton, NJ: Educational Testing Service. Cheung, O., Clements, B., and Miu, Y.C. (). The Feasibility of Collecting Comparable National Statistics About Students With LEP. Washington, DC: National Center for Education.Abstract.

In this study, two common techniques for detecting biased items based on Rasch measurement procedures are demonstrated. One technique involves an examination of differences in threshold values of items among groups and the other technique involves an examination of fit Cited by: 6.