Anchor-Based Methods for Judgmentally Estimating Item Difficulty Parameters. LSAC Research Report Series.
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| Title: | Anchor-Based Methods for Judgmentally Estimating Item Difficulty Parameters. LSAC Research Report Series. |
|---|---|
| Language: | English |
| Authors: | Hambleton, Ronald K., Sireci, Stephen G., Swaminathan, H., Xing, Dehui, Rizavi, Saba, Law School Admission Council, Newtown, PA. |
| Peer Reviewed: | N |
| Page Count: | 48 |
| Publication Date: | 2003 |
| Document Type: | Reports - Research |
| Descriptors: | Adaptive Testing, College Entrance Examinations, Computer Assisted Testing, Difficulty Level, Estimation (Mathematics), Field Tests |
| Assessment and Survey Identifiers: | Law School Admission Test |
| Abstract: | The purposes of this research study were to develop and field test anchor-based judgmental methods for enabling test specialists to estimate item difficulty statistics. The study consisted of three related field tests. In each, researchers worked with six Law School Admission Test (LSAT) test specialists and one or more of the LSAT subtests. The three field tests produced a number of conclusions. A considerable amount was learned about the process of extracting test specialists' estimates of item difficulty. The ratings took considerably longer to obtain than had been expected. Training, initial ratings, and discussion took a considerable amount of time. Test specialists felt they could be trained to estimate item difficulty accurately and, to some extent, they demonstrated this. Average error in the estimates of item difficulty varied from about 11% to 13 %. Also the discussions were popular with the panelists, and almost always resulted in improved item difficulty estimates. By the end of the study, the two expected frameworks that developers thought they might provide test specialists, had merged to one. Test specialists seemed to benefit from the descriptions of items located at three levels of difficulty and from information about the item statistics of many items. Four appendixes describe tasks and contain the field test materials. (Contains 8 tables and 18 references.) (SLD) |
| Entry Date: | 2004 |
| Accession Number: | ED482926 |
| Database: | ERIC |
| FullText | Text: Availability: 0 CustomLinks: – Url: https://eric.ed.gov/contentdelivery/servlet/ERICServlet?accno=ED482926 Name: ERIC Full Text Category: fullText Text: Full Text from ERIC |
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| Items | – Name: Title Label: Title Group: Ti Data: Anchor-Based Methods for Judgmentally Estimating Item Difficulty Parameters. LSAC Research Report Series. – Name: Language Label: Language Group: Lang Data: English – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Hambleton%2C+Ronald+K%2E%22">Hambleton, Ronald K.</searchLink><br /><searchLink fieldCode="AR" term="%22Sireci%2C+Stephen+G%2E%22">Sireci, Stephen G.</searchLink><br /><searchLink fieldCode="AR" term="%22Swaminathan%2C+H%2E%22">Swaminathan, H.</searchLink><br /><searchLink fieldCode="AR" term="%22Xing%2C+Dehui%22">Xing, Dehui</searchLink><br /><searchLink fieldCode="AR" term="%22Rizavi%2C+Saba%22">Rizavi, Saba</searchLink><br /><searchLink fieldCode="AR" term="%22Law+School+Admission+Council%2C+Newtown%2C+PA%2E%22">Law School Admission Council, Newtown, PA.</searchLink> – Name: PeerReviewed Label: Peer Reviewed Group: SrcInfo Data: N – Name: Pages Label: Page Count Group: Src Data: 48 – Name: DatePubCY Label: Publication Date Group: Date Data: 2003 – Name: TypeDocument Label: Document Type Group: TypDoc Data: Reports - Research – Name: Subject Label: Descriptors Group: Su Data: <searchLink fieldCode="DE" term="%22Adaptive+Testing%22">Adaptive Testing</searchLink><br /><searchLink fieldCode="DE" term="%22College+Entrance+Examinations%22">College Entrance Examinations</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+Assisted+Testing%22">Computer Assisted Testing</searchLink><br /><searchLink fieldCode="DE" term="%22Difficulty+Level%22">Difficulty Level</searchLink><br /><searchLink fieldCode="DE" term="%22Estimation+%28Mathematics%29%22">Estimation (Mathematics)</searchLink><br /><searchLink fieldCode="DE" term="%22Field+Tests%22">Field Tests</searchLink> – Name: SubjectThesaurus Label: Assessment and Survey Identifiers Group: Su Data: <searchLink fieldCode="SU" term="%22Law+School+Admission+Test%22">Law School Admission Test</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The purposes of this research study were to develop and field test anchor-based judgmental methods for enabling test specialists to estimate item difficulty statistics. The study consisted of three related field tests. In each, researchers worked with six Law School Admission Test (LSAT) test specialists and one or more of the LSAT subtests. The three field tests produced a number of conclusions. A considerable amount was learned about the process of extracting test specialists' estimates of item difficulty. The ratings took considerably longer to obtain than had been expected. Training, initial ratings, and discussion took a considerable amount of time. Test specialists felt they could be trained to estimate item difficulty accurately and, to some extent, they demonstrated this. Average error in the estimates of item difficulty varied from about 11% to 13 %. Also the discussions were popular with the panelists, and almost always resulted in improved item difficulty estimates. By the end of the study, the two expected frameworks that developers thought they might provide test specialists, had merged to one. Test specialists seemed to benefit from the descriptions of items located at three levels of difficulty and from information about the item statistics of many items. Four appendixes describe tasks and contain the field test materials. (Contains 8 tables and 18 references.) (SLD) – Name: DateEntry Label: Entry Date Group: Date Data: 2004 – Name: AN Label: Accession Number Group: ID Data: ED482926 |
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| RecordInfo | BibRecord: BibEntity: Languages: – Text: English PhysicalDescription: Pagination: PageCount: 48 Subjects: – SubjectFull: Adaptive Testing Type: general – SubjectFull: College Entrance Examinations Type: general – SubjectFull: Computer Assisted Testing Type: general – SubjectFull: Difficulty Level Type: general – SubjectFull: Estimation (Mathematics) Type: general – SubjectFull: Field Tests Type: general – SubjectFull: Law School Admission Test Type: general Titles: – TitleFull: Anchor-Based Methods for Judgmentally Estimating Item Difficulty Parameters. LSAC Research Report Series. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Law School Admission Council, Newtown, PA. – PersonEntity: Name: NameFull: Hambleton, Ronald K. – PersonEntity: Name: NameFull: Sireci, Stephen G. – PersonEntity: Name: NameFull: Swaminathan, H. – PersonEntity: Name: NameFull: Xing, Dehui – PersonEntity: Name: NameFull: Rizavi, Saba IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 10 Type: published Y: 2003 |
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