Towards an Integrated Methodology for Assessing Items in Mathematics Assessments
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| Title: | Towards an Integrated Methodology for Assessing Items in Mathematics Assessments |
|---|---|
| Language: | English |
| Authors: | Darryl Chamberlain (ORCID |
| Source: | Intersection: A Journal at the Intersection of Assessment and Learning. 2026 7(1):40-70. |
| Availability: | Association for the Assessment of Learning in Higher Education. 6844 Bardstown Road #910, Louisville, KY 40291. Tel: 502-406-8012; e-mail: info@aalhe.org; Web site: https://www.aalhe.org/intersection |
| Peer Reviewed: | Y |
| Page Count: | 31 |
| Publication Date: | 2026 |
| Document Type: | Journal Articles Reports - Descriptive |
| Descriptors: | Mathematics Tests, Test Items, Evaluation Methods, Item Analysis, Test Validity, Test Reliability, Multiple Choice Tests, Test Theory, Item Response Theory, Difficulty Level, Algebra |
| Geographic Terms: | Florida |
| ISSN: | 2688-7207 |
| Abstract: | There is no singular methodology for analyzing educational assessments. Moreover, educational assessment primarily serves to assess students over some curriculum rather than as collections of items with the most predictive power. It is thus necessary to develop a practical methodology to provide a robust analysis of an educational assessment that attends to both assessment of knowledge and predictive power. This study presents a unifying methodology that considers measures of validity, reliability, and knowledge to provide a robust analysis of an educational assessment. This paper presents classification bounds that inform labeling items as sufficiently discriminating for the purposes of an educational assessment. It then presents an analysis of 4 multiple-choice exams to illustrate how the metrics can be used in concert to identify validity, reliability, and knowledge at the item and assessment level. The paper concludes with a brief discussion of how this methodology can be applied to different types of assessments. |
| Abstractor: | As Provided |
| Entry Date: | 2026 |
| Accession Number: | EJ1506584 |
| Database: | ERIC |
| FullText | Text: Availability: 0 CustomLinks: – Url: https://eric.ed.gov/contentdelivery/servlet/ERICServlet?accno=EJ1506584 Name: ERIC Full Text Category: fullText Text: Full Text from ERIC |
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| Header | DbId: eric DbLabel: ERIC An: EJ1506584 AccessLevel: 3 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Towards an Integrated Methodology for Assessing Items in Mathematics Assessments – Name: Language Label: Language Group: Lang Data: English – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Darryl+Chamberlain%22">Darryl Chamberlain</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0001-9724-3225">0000-0001-9724-3225</externalLink>)<br /><searchLink fieldCode="AR" term="%22Russell+Jeter%22">Russell Jeter</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0002-3019-2387">0000-0002-3019-2387</externalLink>)<br /><searchLink fieldCode="AR" term="%22Kelvin+Rozier%22">Kelvin Rozier</searchLink> (ORCID <externalLink term="https://orcid.org/0009-0007-5101-6183">0009-0007-5101-6183</externalLink>) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="SO" term="%22Intersection%3A+A+Journal+at+the+Intersection+of+Assessment+and+Learning%22"><i>Intersection: A Journal at the Intersection of Assessment and Learning</i></searchLink>. 2026 7(1):40-70. – Name: Avail Label: Availability Group: Avail Data: Association for the Assessment of Learning in Higher Education. 6844 Bardstown Road #910, Louisville, KY 40291. Tel: 502-406-8012; e-mail: info@aalhe.org; Web site: https://www.aalhe.org/intersection – Name: PeerReviewed Label: Peer Reviewed Group: SrcInfo Data: Y – Name: Pages Label: Page Count Group: Src Data: 31 – Name: DatePubCY Label: Publication Date Group: Date Data: 2026 – Name: TypeDocument Label: Document Type Group: TypDoc Data: Journal Articles<br />Reports - Descriptive – Name: Subject Label: Descriptors Group: Su Data: <searchLink fieldCode="DE" term="%22Mathematics+Tests%22">Mathematics Tests</searchLink><br /><searchLink fieldCode="DE" term="%22Test+Items%22">Test Items</searchLink><br /><searchLink fieldCode="DE" term="%22Evaluation+Methods%22">Evaluation Methods</searchLink><br /><searchLink fieldCode="DE" term="%22Item+Analysis%22">Item Analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Test+Validity%22">Test Validity</searchLink><br /><searchLink fieldCode="DE" term="%22Test+Reliability%22">Test Reliability</searchLink><br /><searchLink fieldCode="DE" term="%22Multiple+Choice+Tests%22">Multiple Choice Tests</searchLink><br /><searchLink fieldCode="DE" term="%22Test+Theory%22">Test Theory</searchLink><br /><searchLink fieldCode="DE" term="%22Item+Response+Theory%22">Item Response Theory</searchLink><br /><searchLink fieldCode="DE" term="%22Difficulty+Level%22">Difficulty Level</searchLink><br /><searchLink fieldCode="DE" term="%22Algebra%22">Algebra</searchLink> – Name: Subject Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Florida%22">Florida</searchLink> – Name: ISSN Label: ISSN Group: ISSN Data: 2688-7207 – Name: Abstract Label: Abstract Group: Ab Data: There is no singular methodology for analyzing educational assessments. Moreover, educational assessment primarily serves to assess students over some curriculum rather than as collections of items with the most predictive power. It is thus necessary to develop a practical methodology to provide a robust analysis of an educational assessment that attends to both assessment of knowledge and predictive power. This study presents a unifying methodology that considers measures of validity, reliability, and knowledge to provide a robust analysis of an educational assessment. This paper presents classification bounds that inform labeling items as sufficiently discriminating for the purposes of an educational assessment. It then presents an analysis of 4 multiple-choice exams to illustrate how the metrics can be used in concert to identify validity, reliability, and knowledge at the item and assessment level. The paper concludes with a brief discussion of how this methodology can be applied to different types of assessments. – Name: AbstractInfo Label: Abstractor Group: Ab Data: As Provided – Name: DateEntry Label: Entry Date Group: Date Data: 2026 – Name: AN Label: Accession Number Group: ID Data: EJ1506584 |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eric&AN=EJ1506584 |
| RecordInfo | BibRecord: BibEntity: Languages: – Text: English PhysicalDescription: Pagination: PageCount: 31 StartPage: 40 Subjects: – SubjectFull: Mathematics Tests Type: general – SubjectFull: Test Items Type: general – SubjectFull: Evaluation Methods Type: general – SubjectFull: Item Analysis Type: general – SubjectFull: Test Validity Type: general – SubjectFull: Test Reliability Type: general – SubjectFull: Multiple Choice Tests Type: general – SubjectFull: Test Theory Type: general – SubjectFull: Item Response Theory Type: general – SubjectFull: Difficulty Level Type: general – SubjectFull: Algebra Type: general – SubjectFull: Florida Type: general Titles: – TitleFull: Towards an Integrated Methodology for Assessing Items in Mathematics Assessments Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Darryl Chamberlain – PersonEntity: Name: NameFull: Russell Jeter – PersonEntity: Name: NameFull: Kelvin Rozier IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 2688-7207 Numbering: – Type: volume Value: 7 – Type: issue Value: 1 Titles: – TitleFull: Intersection: A Journal at the Intersection of Assessment and Learning Type: main |
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