The irtQR package: a user-friendly tool for item response theory- based test data analysis and calibration.
Computerized adaptive testing (CAT) has become a widely adopted test design for high-stakes licensing and certification exams, particularly in the health professions in the United States, due to its ability to tailor test difficulty in real time, reducing testing time while providing precise ability...
| Publicado en: | Journal of Educational Evaluation for Health Professions Vol. 21; pp. 1 - 15 |
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| Autores principales: | , |
| Formato: | computer program equations & formulas pictorial research Journal Article |
| Publicado: |
National Health Personnel Licensing Examination Board
2024
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=182175679&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 182175679 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 19755937 B0CC jtl: Journal of Educational Evaluation for Health Professions issn: 19755937 maglogo: N pubinfo: dt: 2024 vid: 21 pid: 58691 pub: National Health Personnel Licensing Examination Board artinfo: ui: 182175679 182175679 182175679 10.3352/jeehp.2024.21.23 182175679 ppf: 1 ppct: 14 formats: fmt: @attributes: type: P tig: atl: The irtQR package: a user-friendly tool for item response theory- based test data analysis and calibration. aug: au: Hwanggyu Lim Kyungseok Kang affil: College of Education, Inha University, Incheon, Korea sug: subj: Credentialing Examinations Computerized Adaptive Testing Computerized Educational Testing Software Design Evaluation Algorithms Calibration Psychometrics Evaluation Human Models, Statistical User-Computer Interface Metadata Item Analysis ab: Computerized adaptive testing (CAT) has become a widely adopted test design for high-stakes licensing and certification exams, particularly in the health professions in the United States, due to its ability to tailor test difficulty in real time, reducing testing time while providing precise ability estimates. A key component of CAT is item response theory (IRT), which facilitates the dynamic selection of items based on examinees' ability levels during a test. Accurate estimation of item and ability parameters is essential for successful CAT implementation, necessitating convenient and reliable software to ensure precise parameter estimation. This paper introduces the irtQR package (http://CRAN.R-project.org/), which simplifies IRT-based analysis and item calibration under unidimensional IRT models. While it does not directly simulate CAT, it provides essential tools to support CAT development, including parameter estimation using marginal maximum likelihood estimation via the expectation-maximization algorithm, pre-test item calibration through fixed item parameter calibration and fixed ability parameter calibration methods, and examinee ability estimation. The package also enables users to compute item and test characteristic curves and information functions necessary for evaluating the psychometric properties of a test. This paper illustrates the key features of the irtQ package through examples using simulated datasets, demonstrating its utility in IRT applications such as test data analysis and ability scoring. By providing a user-friendly environment for IRT analysis, irtQ significantly enhances the capacity for efficient adaptive testing research and operations. Finally, the paper highlights additional core functionalities of irtQ emphasizing its broader applicability to the development and operation of IRT-based assessments. pubtype: Academic Journal doctype: computer program equations & formulas pictorial research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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