Standard-Setting Using Item Response Theory

Tsung-Hau Jen ()
Additional contact information
Tsung-Hau Jen: Science Education Center, National Taiwan Normal University

No 2805119, Proceedings of International Academic Conferences from International Institute of Social and Economic Sciences

Abstract: Standard-setting is a procedure of providing cut-scores on measurement scales used to separate proficiency levels by classifying the test-takers with scores lower than a cut-score into one level and those whose scores are at or above the cut-score into a higher level. Different standard-setting approaches have been proposed to classify mastery levels of the target population, to find out the norms and passing rates for the population or test-takers, to induct the standards through an empirical way, and to validate the assessment framework developed based on the theories. In the current study, an evidence-based standard-setting approach was proposed to estimate the thresholds on the scales of interested latent traits by using item response theory. An empirical data set for evaluating a teacher education program was used to demonstrate the proposed approach. The strengths and limitations of the proposed method were also discussed.

Keywords: item response theory; standard-setting; methodology; proficiency levels (search for similar items in EconPapers)
Pages: 1 page
Date: 2015-10
References: Add references at CitEc
Citations:

Published in Proceedings of the Proceedings of the 19th International Academic Conference, Florence, Oct 2015, pages 346-346

Downloads: (external link)
https://iises.net/proceedings/19th-international-a ... =28&iid=063&rid=5119 First version, 2015

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:sek:iacpro:2805119

Access Statistics for this paper

More papers in Proceedings of International Academic Conferences from International Institute of Social and Economic Sciences
Bibliographic data for series maintained by Klara Cermakova ().