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Conference Paper: A Not-So-Gentle Introduction to Item Response Theory
Title | A Not-So-Gentle Introduction to Item Response Theory |
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Authors | |
Issue Date | 2020 |
Citation | Research Seminar /Methodology and Statistics Workshop on Item Response Theory, Human Communication, Development and Information Sciences (CDIS), Faculty of Education, the University of Hong Kong, Hong Kong, China, 24 November 2020
How to Cite? |
Abstract | This presentation will start with a comparison of classical test theory and item response theory (IRT), where the advantages of the former over the latter will be highlighted. It will be followed by a presentation of a number of both commonly and not-so-commonly encountered IRT models in the literature, which include models for dichotomous, polytomous, multiple-choice, rating, preference, and forced-choice data. General applications of IRT will be then discussed followed by some specific application examples. A brief demonstration of IRT analysis using R packages will follow. Finally, the presentation will conclude with a discussion of cognitive diagnosis models, which can be construed as a specific type of IRT model. |
Description | Invited presentation |
Persistent Identifier | http://hdl.handle.net/10722/312538 |
DC Field | Value | Language |
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dc.contributor.author | de la Torre, J | - |
dc.date.accessioned | 2022-04-27T08:00:07Z | - |
dc.date.available | 2022-04-27T08:00:07Z | - |
dc.date.issued | 2020 | - |
dc.identifier.citation | Research Seminar /Methodology and Statistics Workshop on Item Response Theory, Human Communication, Development and Information Sciences (CDIS), Faculty of Education, the University of Hong Kong, Hong Kong, China, 24 November 2020 | - |
dc.identifier.uri | http://hdl.handle.net/10722/312538 | - |
dc.description | Invited presentation | - |
dc.description.abstract | This presentation will start with a comparison of classical test theory and item response theory (IRT), where the advantages of the former over the latter will be highlighted. It will be followed by a presentation of a number of both commonly and not-so-commonly encountered IRT models in the literature, which include models for dichotomous, polytomous, multiple-choice, rating, preference, and forced-choice data. General applications of IRT will be then discussed followed by some specific application examples. A brief demonstration of IRT analysis using R packages will follow. Finally, the presentation will conclude with a discussion of cognitive diagnosis models, which can be construed as a specific type of IRT model. | - |
dc.language | eng | - |
dc.relation.ispartof | HKU, Faculty of Education, Human Communication, Development and Information Sciences (CDIS) Research Seminar / Methodology and Statistics Workshop | - |
dc.title | A Not-So-Gentle Introduction to Item Response Theory | - |
dc.type | Conference_Paper | - |
dc.identifier.email | de la Torre, J: j.delatorre@hku.hk | - |
dc.identifier.authority | de la Torre, J=rp02159 | - |
dc.identifier.hkuros | 328205 | - |