Item response theory:
"To date, much of the application of IRT has been in the field of educational measurement, where for example, IRT has been used extensively by the Educational Testing Service for the development of scholastic aptitude tests. IRT has played a major role in all major college and graduate school a...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Hoboken, NJ
Wiley
2021
|
| Edition: | First edition |
| Subjects: | |
| Summary: | "To date, much of the application of IRT has been in the field of educational measurement, where for example, IRT has been used extensively by the Educational Testing Service for the development of scholastic aptitude tests. IRT has played a major role in all major college and graduate school admission tests (SAT, ACT, GRE, GMAT, MCAT, ...). Unlike traditional tests based on classical test theory that summarizes the test result by a simple counting operation of number of correct responses, IRT provides model-based measurements in which the difficulty of the items, discrimination of high and low levels of the underlying latent variable(s) and the corresponding ability of the respondents can be estimated. In IRT scoring of tests, a certain number of items can be arbitrarily added, deleted, or replaced without losing comparability of scores on the scale. Only the precision of measurement at some points on the scale is affected. This property of scaled measurement, as opposed to counts of events, is the most salient advantage of IRT over classical methods of educational and psychological measurement. The evolution of IRT is now going beyond educational measurement. Recent advances in multidimensional extensions of IRT and computerized adaptive testing are leading to major advances in patient reported outcome measures of physical and emotional well being. In mental health research, IRT is now leading to a major paradigm shift in the screening and measurement of mental health disorders, substance abuse and suicidality, one of the leading causes of death in the world. Multidimensional IRT extends the tools used to evaluate essentially unidimensional constructs such as mathematical ability to the measurement of complex traits such as depression, anxiety and psychosis [...]." |
| Item Description: | Includes bibliographical references and index |
| Physical Description: | xvii, 366 Seiten Diagramme |
| ISBN: | 9781119716686 |
Staff View
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| 520 | 3 | |a "To date, much of the application of IRT has been in the field of educational measurement, where for example, IRT has been used extensively by the Educational Testing Service for the development of scholastic aptitude tests. IRT has played a major role in all major college and graduate school admission tests (SAT, ACT, GRE, GMAT, MCAT, ...). Unlike traditional tests based on classical test theory that summarizes the test result by a simple counting operation of number of correct responses, IRT provides model-based measurements in which the difficulty of the items, discrimination of high and low levels of the underlying latent variable(s) and the corresponding ability of the respondents can be estimated. In IRT scoring of tests, a certain number of items can be arbitrarily added, deleted, or replaced without losing comparability of scores on the scale. Only the precision of measurement at some points on the scale is affected. This property of scaled measurement, as opposed to counts of events, is the most salient advantage of IRT over classical methods of educational and psychological measurement. The evolution of IRT is now going beyond educational measurement. Recent advances in multidimensional extensions of IRT and computerized adaptive testing are leading to major advances in patient reported outcome measures of physical and emotional well being. In mental health research, IRT is now leading to a major paradigm shift in the screening and measurement of mental health disorders, substance abuse and suicidality, one of the leading causes of death in the world. Multidimensional IRT extends the tools used to evaluate essentially unidimensional constructs such as mathematical ability to the measurement of complex traits such as depression, anxiety and psychosis [...]." | |
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| author | Bock, Richard Darrell 1927-2021 Gibbons, Robert D. 1955- |
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| id | DE-604.BV047959740 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T19:40:08Z |
| indexdate | 2024-12-11T17:01:58Z |
| institution | BVB |
| isbn | 9781119716686 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-033340959 |
| oclc_num | 1322799962 |
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| owner | DE-355 DE-BY-UBR |
| owner_facet | DE-355 DE-BY-UBR |
| physical | xvii, 366 Seiten Diagramme |
| publishDate | 2021 |
| publishDateSearch | 2021 |
| publishDateSort | 2021 |
| publisher | Wiley |
| record_format | marc |
| spelling | Bock, Richard Darrell 1927-2021 Verfasser (DE-588)153400846 aut Item response theory R. Darrell Bock, Robert D. Gibbons, University of Chicago First edition Hoboken, NJ Wiley 2021 xvii, 366 Seiten Diagramme txt rdacontent n rdamedia nc rdacarrier Includes bibliographical references and index "To date, much of the application of IRT has been in the field of educational measurement, where for example, IRT has been used extensively by the Educational Testing Service for the development of scholastic aptitude tests. IRT has played a major role in all major college and graduate school admission tests (SAT, ACT, GRE, GMAT, MCAT, ...). Unlike traditional tests based on classical test theory that summarizes the test result by a simple counting operation of number of correct responses, IRT provides model-based measurements in which the difficulty of the items, discrimination of high and low levels of the underlying latent variable(s) and the corresponding ability of the respondents can be estimated. In IRT scoring of tests, a certain number of items can be arbitrarily added, deleted, or replaced without losing comparability of scores on the scale. Only the precision of measurement at some points on the scale is affected. This property of scaled measurement, as opposed to counts of events, is the most salient advantage of IRT over classical methods of educational and psychological measurement. The evolution of IRT is now going beyond educational measurement. Recent advances in multidimensional extensions of IRT and computerized adaptive testing are leading to major advances in patient reported outcome measures of physical and emotional well being. In mental health research, IRT is now leading to a major paradigm shift in the screening and measurement of mental health disorders, substance abuse and suicidality, one of the leading causes of death in the world. Multidimensional IRT extends the tools used to evaluate essentially unidimensional constructs such as mathematical ability to the measurement of complex traits such as depression, anxiety and psychosis [...]." Probabilistische Testtheorie (DE-588)4496586-2 gnd rswk-swf Item response theory Psychology / Mathematical models Psychology ; Mathematical models Probabilistische Testtheorie (DE-588)4496586-2 s DE-604 Gibbons, Robert D. 1955- Verfasser (DE-588)140292551 aut Erscheint auch als Online-Ausgabe, EPUB 978-1-119-71671-6 Erscheint auch als Online-Ausgabe, PDF 978-1-119-71667-9 Erscheint auch als Online-Ausgabe 978-1-119-71672-3 |
| spellingShingle | Bock, Richard Darrell 1927-2021 Gibbons, Robert D. 1955- Item response theory Probabilistische Testtheorie (DE-588)4496586-2 gnd |
| subject_GND | (DE-588)4496586-2 |
| title | Item response theory |
| title_auth | Item response theory |
| title_exact_search | Item response theory |
| title_exact_search_txtP | Item response theory |
| title_full | Item response theory R. Darrell Bock, Robert D. Gibbons, University of Chicago |
| title_fullStr | Item response theory R. Darrell Bock, Robert D. Gibbons, University of Chicago |
| title_full_unstemmed | Item response theory R. Darrell Bock, Robert D. Gibbons, University of Chicago |
| title_short | Item response theory |
| title_sort | item response theory |
| topic | Probabilistische Testtheorie (DE-588)4496586-2 gnd |
| topic_facet | Probabilistische Testtheorie |
| work_keys_str_mv | AT bockricharddarrell itemresponsetheory AT gibbonsrobertd itemresponsetheory |