IRT model fit from different perspectives

Muhammad Naveed Khalid

Research output: ThesisPhD Thesis - Research external, graduation UT

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Abstract

Item response theory (IRT) is a collection of statistical models that used for development, evaluation, and scoring of instruments. IRT models describe, in probabilistic terms, the relationship between a person's response to a test item and his or her standing on the construct being measured by the test. These measured constructs include any latent (i.e., unobservable) variable, such as depression, achievement, or attitude, that requires multiple test items to estimate a person's level on the construct. The properties of these models offer many well-known advantages in testing applications. However, the extent to which these properties are attained is dependent on the degree to which the IRT model itself is appropriate. This thesis is concerned with evaluation of model fit from two perspectives: the items and the respondents.
Original languageEnglish
Awarding Institution
  • University of Twente
Supervisors/Advisors
  • Glas, Cees A.W., Supervisor
  • Veldkamp, Bernard P., Co-Supervisor
Award date9 Dec 2009
Place of PublicationEnschede
Publisher
Print ISBNs978-90-365-2900-6
DOIs
Publication statusPublished - 9 Dec 2009

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model theory
human being
evaluation

Keywords

  • METIS-262295

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Khalid, Muhammad Naveed. / IRT model fit from different perspectives. Enschede : Ipskamp Printing, 2009. 130 p.
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IRT model fit from different perspectives. / Khalid, Muhammad Naveed.

Enschede : Ipskamp Printing, 2009. 130 p.

Research output: ThesisPhD Thesis - Research external, graduation UT

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AU - Khalid, Muhammad Naveed

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Y1 - 2009/12/9

N2 - Item response theory (IRT) is a collection of statistical models that used for development, evaluation, and scoring of instruments. IRT models describe, in probabilistic terms, the relationship between a person's response to a test item and his or her standing on the construct being measured by the test. These measured constructs include any latent (i.e., unobservable) variable, such as depression, achievement, or attitude, that requires multiple test items to estimate a person's level on the construct. The properties of these models offer many well-known advantages in testing applications. However, the extent to which these properties are attained is dependent on the degree to which the IRT model itself is appropriate. This thesis is concerned with evaluation of model fit from two perspectives: the items and the respondents.

AB - Item response theory (IRT) is a collection of statistical models that used for development, evaluation, and scoring of instruments. IRT models describe, in probabilistic terms, the relationship between a person's response to a test item and his or her standing on the construct being measured by the test. These measured constructs include any latent (i.e., unobservable) variable, such as depression, achievement, or attitude, that requires multiple test items to estimate a person's level on the construct. The properties of these models offer many well-known advantages in testing applications. However, the extent to which these properties are attained is dependent on the degree to which the IRT model itself is appropriate. This thesis is concerned with evaluation of model fit from two perspectives: the items and the respondents.

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M3 - PhD Thesis - Research external, graduation UT

SN - 978-90-365-2900-6

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Khalid MN. IRT model fit from different perspectives. Enschede: Ipskamp Printing, 2009. 130 p. https://doi.org/10.3990/1.9789036529006