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Teachers and Students' Postsecondary Outcomes: Testing the Predictive Power of Test and Nontest Teacher Quality Measures. Working Paper No. 270-1022

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Title: Teachers and Students' Postsecondary Outcomes: Testing the Predictive Power of Test and Nontest Teacher Quality Measures. Working Paper No. 270-1022
Language: English
Authors: Backes, Ben, Cowan, James, Goldhaber, Dan, Theobald, Roddy, National Center for Analysis of Longitudinal Data in Education Research (CALDER) at American Institutes for Research
Source: National Center for Analysis of Longitudinal Data in Education Research (CALDER). 2022.
Availability: National Center for Analysis of Longitudinal Data in Education Research. American Institutes for Research, 1000 Thomas Jefferson Street NW, Washington, DC 20007. Tel: 202-403-5796; Fax: 202-403-6783; e-mail: info@caldercenter.org; Web site: https://caldercenter.org
Peer Reviewed: N
Page Count: 59
Publication Date: 2022
Sponsoring Agency: Institute of Education Sciences (ED)
Contract Number: R305S210012
Document Type: Reports - Research
Education Level: Higher Education
Postsecondary Education
High Schools
Secondary Education
Junior High Schools
Middle Schools
Grade 10
Elementary Education
Grade 7
Grade 8
Descriptors: Teacher Effectiveness, Measurement Techniques, Outcomes of Education, Attendance Patterns, Grades (Scholastic), School Effectiveness, Educational Quality, Teacher Competency Testing, Graduation Rate, College Attendance, Middle School Students, High School Students, Grade 10, Grade 7, Grade 8
Geographic Terms: Massachusetts
Abstract: We examine how different measures of teacher quality are related to students' long-run trajectories. Comparing teachers' "test-based" value-added to "nontest" value-added -- based on contributions to student absences and grades -- we find that test and nontest value-added have similar effects on the average quality of colleges that students attend. However, test-based teacher quality measures have more explanatory power for outcomes relevant for students at the top of the achievement distribution such as attending a more selective college, while nontest measures have more explanatory power for whether students graduate from high school and enroll in college at all.
Abstractor: As Provided
IES Funded: Yes
Entry Date: 2023
Accession Number: ED625574
Database: ERIC
FullText Text:
  Availability: 0
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PubType: Report
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  Data: Teachers and Students' Postsecondary Outcomes: Testing the Predictive Power of Test and Nontest Teacher Quality Measures. Working Paper No. 270-1022
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  Data: <searchLink fieldCode="AR" term="%22Backes%2C+Ben%22">Backes, Ben</searchLink><br /><searchLink fieldCode="AR" term="%22Cowan%2C+James%22">Cowan, James</searchLink><br /><searchLink fieldCode="AR" term="%22Goldhaber%2C+Dan%22">Goldhaber, Dan</searchLink><br /><searchLink fieldCode="AR" term="%22Theobald%2C+Roddy%22">Theobald, Roddy</searchLink><br /><searchLink fieldCode="AR" term="%22National+Center+for+Analysis+of+Longitudinal+Data+in+Education+Research+%28CALDER%29+at+American+Institutes+for+Research%22">National Center for Analysis of Longitudinal Data in Education Research (CALDER) at American Institutes for Research</searchLink>
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  Data: National Center for Analysis of Longitudinal Data in Education Research. American Institutes for Research, 1000 Thomas Jefferson Street NW, Washington, DC 20007. Tel: 202-403-5796; Fax: 202-403-6783; e-mail: info@caldercenter.org; Web site: https://caldercenter.org
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  Data: 59
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  Data: <searchLink fieldCode="EL" term="%22Higher+Education%22">Higher Education</searchLink><br /><searchLink fieldCode="EL" term="%22Postsecondary+Education%22">Postsecondary Education</searchLink><br /><searchLink fieldCode="EL" term="%22High+Schools%22">High Schools</searchLink><br /><searchLink fieldCode="EL" term="%22Secondary+Education%22">Secondary Education</searchLink><br /><searchLink fieldCode="EL" term="%22Junior+High+Schools%22">Junior High Schools</searchLink><br /><searchLink fieldCode="EL" term="%22Middle+Schools%22">Middle Schools</searchLink><br /><searchLink fieldCode="EL" term="%22Grade+10%22">Grade 10</searchLink><br /><searchLink fieldCode="EL" term="%22Elementary+Education%22">Elementary Education</searchLink><br /><searchLink fieldCode="EL" term="%22Grade+7%22">Grade 7</searchLink><br /><searchLink fieldCode="EL" term="%22Grade+8%22">Grade 8</searchLink>
– Name: Subject
  Label: Descriptors
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Teacher+Effectiveness%22">Teacher Effectiveness</searchLink><br /><searchLink fieldCode="DE" term="%22Measurement+Techniques%22">Measurement Techniques</searchLink><br /><searchLink fieldCode="DE" term="%22Outcomes+of+Education%22">Outcomes of Education</searchLink><br /><searchLink fieldCode="DE" term="%22Attendance+Patterns%22">Attendance Patterns</searchLink><br /><searchLink fieldCode="DE" term="%22Grades+%28Scholastic%29%22">Grades (Scholastic)</searchLink><br /><searchLink fieldCode="DE" term="%22School+Effectiveness%22">School Effectiveness</searchLink><br /><searchLink fieldCode="DE" term="%22Educational+Quality%22">Educational Quality</searchLink><br /><searchLink fieldCode="DE" term="%22Teacher+Competency+Testing%22">Teacher Competency Testing</searchLink><br /><searchLink fieldCode="DE" term="%22Graduation+Rate%22">Graduation Rate</searchLink><br /><searchLink fieldCode="DE" term="%22College+Attendance%22">College Attendance</searchLink><br /><searchLink fieldCode="DE" term="%22Middle+School+Students%22">Middle School Students</searchLink><br /><searchLink fieldCode="DE" term="%22High+School+Students%22">High School Students</searchLink><br /><searchLink fieldCode="DE" term="%22Grade+10%22">Grade 10</searchLink><br /><searchLink fieldCode="DE" term="%22Grade+7%22">Grade 7</searchLink><br /><searchLink fieldCode="DE" term="%22Grade+8%22">Grade 8</searchLink>
– Name: Subject
  Label: Geographic Terms
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Massachusetts%22">Massachusetts</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: We examine how different measures of teacher quality are related to students' long-run trajectories. Comparing teachers' "test-based" value-added to "nontest" value-added -- based on contributions to student absences and grades -- we find that test and nontest value-added have similar effects on the average quality of colleges that students attend. However, test-based teacher quality measures have more explanatory power for outcomes relevant for students at the top of the achievement distribution such as attending a more selective college, while nontest measures have more explanatory power for whether students graduate from high school and enroll in college at all.
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  Data: As Provided
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  Data: Yes
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  Data: 2023
– Name: AN
  Label: Accession Number
  Group: ID
  Data: ED625574
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eric&AN=ED625574
RecordInfo BibRecord:
  BibEntity:
    Languages:
      – Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 59
    Subjects:
      – SubjectFull: Teacher Effectiveness
        Type: general
      – SubjectFull: Measurement Techniques
        Type: general
      – SubjectFull: Outcomes of Education
        Type: general
      – SubjectFull: Attendance Patterns
        Type: general
      – SubjectFull: Grades (Scholastic)
        Type: general
      – SubjectFull: School Effectiveness
        Type: general
      – SubjectFull: Educational Quality
        Type: general
      – SubjectFull: Teacher Competency Testing
        Type: general
      – SubjectFull: Graduation Rate
        Type: general
      – SubjectFull: College Attendance
        Type: general
      – SubjectFull: Middle School Students
        Type: general
      – SubjectFull: High School Students
        Type: general
      – SubjectFull: Grade 10
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      – SubjectFull: Grade 7
        Type: general
      – SubjectFull: Grade 8
        Type: general
      – SubjectFull: Massachusetts
        Type: general
    Titles:
      – TitleFull: Teachers and Students' Postsecondary Outcomes: Testing the Predictive Power of Test and Nontest Teacher Quality Measures. Working Paper No. 270-1022
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              Y: 2022
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