Determining the significance of estimated signed and unsigned areas between two item response functions

Loading...
Thumbnail Image

View/Download File

Persistent link to this item

Statistics
View Statistics

Journal Title

Journal ISSN

Volume Title

Title

Determining the significance of estimated signed and unsigned areas between two item response functions

Published Date

1990

Publisher

Type

Article

Abstract

Asymptotic sampling distributions (means and variances) of estimated signed and unsigned areas between two item response functions (IRFS) are presented for the Rasch model, the two-parameter model, and the three-parameter model with fixed lower asymptotes. In item bias or differential item functioning research, it may be of interest to determine whether the estimated signed and unsigned areas between IRFS calibrated with two different groups are significantly different from 0. The usefulness of these sampling distributions in this context is discussed and illustrated. More empirical research with the proposed significance tests is necessary. Index terms: asymptotic mean and variance, differential item functioning, item bias, item response functions, item response theory.

Keywords

Description

Related to

Replaces

License

Series/Report Number

Funding information

Isbn identifier

Doi identifier

Previously Published Citation

Raju, Nambury S. (1990). Determining the significance of estimated signed and unsigned areas between two item response functions. Applied Psychological Measurement, 14, 197-207. doi:10.1177/014662169001400208

Suggested citation

Raju, Nambury S.. (1990). Determining the significance of estimated signed and unsigned areas between two item response functions. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/113559.

Content distributed via the University Digital Conservancy may be subject to additional license and use restrictions applied by the depositor. By using these files, users agree to the Terms of Use. Materials in the UDC may contain content that is disturbing and/or harmful. For more information, please see our statement on harmful content in digital repositories.