Methods for Accounting for Co-Teaching in Value-Added Models. Working Paper
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| Title: | Methods for Accounting for Co-Teaching in Value-Added Models. Working Paper |
|---|---|
| Language: | English |
| Authors: | Hock, Heinrich, Isenberg, Eric, Mathematica Policy Research, Inc. |
| Source: | Mathematica Policy Research, Inc. 2012. |
| Availability: | Mathematica Policy Research, Inc. P.O. Box 2393, Princeton, NJ 08543-2393. Tel: 609-799-3535; Fax: 609-799-0005; e-mail: info@mathematica-mpr.com; Web site: http://www.mathematica-mpr.com |
| Peer Reviewed: | N |
| Page Count: | 24 |
| Publication Date: | 2012 |
| Document Type: | Reports - Research |
| Education Level: | Elementary Secondary Education |
| Descriptors: | Urban Schools, Achievement Gains, Academic Achievement, Teaching Methods, Teacher Influence, Team Teaching, Teacher Responsibility, Educational Methods, Comparative Analysis, School Districts |
| Abstract: | Isolating the effect of a given teacher on student achievement (value-added modeling) is complicated when the student is taught the same subject by more than one teacher. We consider three methods, which we call the Partial Credit Method, Teacher Team Method, and Full Roster Method, for estimating teacher effects in the presence of co-teaching. The Partial Credit Method apportions responsibility between teachers according to the fraction of the year a student spent with each. This method, however, has practical problems limiting its usefulness. As alternatives, we propose two methods that can be more stably estimated based on the premise that co-teachers share joint responsibility for the achievement gains of their shared students. The Teacher Team Method uses a single record for each student and a set of variables for each teacher or group of teachers with shared students, whereas the Full Roster Method contains a single variable for each teacher, but multiple records for shared students. We explore the properties of these two alternative methods and then compare the estimates generated using student achievement and teacher roster data from a large urban school district. We find that both methods produce very similar point estimates of teacher value added. However, the Full Roster Method better maintains the links between teachers and students and can be more robustly implemented in practice. Comparing Estimates from Teacher Team and Full Roster Methods is appended. (Contains 2 figures and 11 footnotes.) |
| Abstractor: | As Provided |
| Number of References: | 14 |
| EIS Cited: | ED544345, ED563446, ED550494 |
| Entry Date: | 2012 |
| Accession Number: | ED533144 |
| Database: | ERIC |
| FullText | Text: Availability: 0 CustomLinks: – Url: https://eric.ed.gov/contentdelivery/servlet/ERICServlet?accno=ED533144 Name: ERIC Full Text Category: fullText Text: Full Text from ERIC |
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| Items | – Name: Title Label: Title Group: Ti Data: Methods for Accounting for Co-Teaching in Value-Added Models. Working Paper – Name: Language Label: Language Group: Lang Data: English – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Hock%2C+Heinrich%22">Hock, Heinrich</searchLink><br /><searchLink fieldCode="AR" term="%22Isenberg%2C+Eric%22">Isenberg, Eric</searchLink><br /><searchLink fieldCode="AR" term="%22Mathematica+Policy+Research%2C+Inc%2E%22">Mathematica Policy Research, Inc.</searchLink> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="SO" term="%22Mathematica+Policy+Research%2C+Inc%22"><i>Mathematica Policy Research, Inc</i></searchLink>. 2012. – Name: Avail Label: Availability Group: Avail Data: Mathematica Policy Research, Inc. P.O. Box 2393, Princeton, NJ 08543-2393. Tel: 609-799-3535; Fax: 609-799-0005; e-mail: info@mathematica-mpr.com; Web site: http://www.mathematica-mpr.com – Name: PeerReviewed Label: Peer Reviewed Group: SrcInfo Data: N – Name: Pages Label: Page Count Group: Src Data: 24 – Name: DatePubCY Label: Publication Date Group: Date Data: 2012 – Name: TypeDocument Label: Document Type Group: TypDoc Data: Reports - Research – Name: Audience Label: Education Level Group: Audnce Data: <searchLink fieldCode="EL" term="%22Elementary+Secondary+Education%22">Elementary Secondary Education</searchLink> – Name: Subject Label: Descriptors Group: Su Data: <searchLink fieldCode="DE" term="%22Urban+Schools%22">Urban Schools</searchLink><br /><searchLink fieldCode="DE" term="%22Achievement+Gains%22">Achievement Gains</searchLink><br /><searchLink fieldCode="DE" term="%22Academic+Achievement%22">Academic Achievement</searchLink><br /><searchLink fieldCode="DE" term="%22Teaching+Methods%22">Teaching Methods</searchLink><br /><searchLink fieldCode="DE" term="%22Teacher+Influence%22">Teacher Influence</searchLink><br /><searchLink fieldCode="DE" term="%22Team+Teaching%22">Team Teaching</searchLink><br /><searchLink fieldCode="DE" term="%22Teacher+Responsibility%22">Teacher Responsibility</searchLink><br /><searchLink fieldCode="DE" term="%22Educational+Methods%22">Educational Methods</searchLink><br /><searchLink fieldCode="DE" term="%22Comparative+Analysis%22">Comparative Analysis</searchLink><br /><searchLink fieldCode="DE" term="%22School+Districts%22">School Districts</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Isolating the effect of a given teacher on student achievement (value-added modeling) is complicated when the student is taught the same subject by more than one teacher. We consider three methods, which we call the Partial Credit Method, Teacher Team Method, and Full Roster Method, for estimating teacher effects in the presence of co-teaching. The Partial Credit Method apportions responsibility between teachers according to the fraction of the year a student spent with each. This method, however, has practical problems limiting its usefulness. As alternatives, we propose two methods that can be more stably estimated based on the premise that co-teachers share joint responsibility for the achievement gains of their shared students. The Teacher Team Method uses a single record for each student and a set of variables for each teacher or group of teachers with shared students, whereas the Full Roster Method contains a single variable for each teacher, but multiple records for shared students. We explore the properties of these two alternative methods and then compare the estimates generated using student achievement and teacher roster data from a large urban school district. We find that both methods produce very similar point estimates of teacher value added. However, the Full Roster Method better maintains the links between teachers and students and can be more robustly implemented in practice. Comparing Estimates from Teacher Team and Full Roster Methods is appended. (Contains 2 figures and 11 footnotes.) – Name: AbstractInfo Label: Abstractor Group: Ab Data: As Provided – Name: Ref Label: Number of References Group: RefInfo Data: 14 – Name: CodeSource Label: EIS Cited Group: SrcInfo Data: ED544345, ED563446, ED550494 – Name: DateEntry Label: Entry Date Group: Date Data: 2012 – Name: AN Label: Accession Number Group: ID Data: ED533144 |
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| RecordInfo | BibRecord: BibEntity: Languages: – Text: English PhysicalDescription: Pagination: PageCount: 24 Subjects: – SubjectFull: Urban Schools Type: general – SubjectFull: Achievement Gains Type: general – SubjectFull: Academic Achievement Type: general – SubjectFull: Teaching Methods Type: general – SubjectFull: Teacher Influence Type: general – SubjectFull: Team Teaching Type: general – SubjectFull: Teacher Responsibility Type: general – SubjectFull: Educational Methods Type: general – SubjectFull: Comparative Analysis Type: general – SubjectFull: School Districts Type: general Titles: – TitleFull: Methods for Accounting for Co-Teaching in Value-Added Models. Working Paper Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Mathematica Policy Research, Inc. – PersonEntity: Name: NameFull: Hock, Heinrich – PersonEntity: Name: NameFull: Isenberg, Eric IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Type: published Y: 2012 Titles: – TitleFull: Mathematica Policy Research, Inc Type: main |
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