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Screening Teachers Effectively Across Roles and Classrooms.

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Title: Screening Teachers Effectively Across Roles and Classrooms.
Authors: Bruno, Paul1 (AUTHOR) pbruno@illinois.edu
Source: Journal of Education Human Resources. Oct2025, Vol. 43 Issue 4, p708-734. 27p.
Subject Terms: *Teacher role, *Special education, *Teacher effectiveness, *Educators, *Predictive validity, *Teacher evaluation, *School districts, *Employee recruitment
Company/Entity: Los Angeles Unified School District
Abstract: A growing literature points to the conclusion that information collected while screening applicants has the potential to improve teacher hiring decisions. However, this work sheds little light on the extent to which the predictive validity of screening assessments varies across teacher types or teaching contexts. The author uses information on applicant teachers' performance on prehire screening assessments in the Los Angeles Unified School District to see whether the relationship between performance on specific screening assessments and the outcomes of hired teachers varies across teacher types or student characteristics. The author finds little evidence that the predictive validity of screening instruments varies between elementary or single-subject teachers, or when teachers serve larger proportions of low-income students or English learners. However, the author finds suggestive evidence that screening instruments predict teachers' outcomes somewhat differently in special education contexts. Taken as a whole, these results suggest teacher screening systems do not need to be highly differentiated to be useful or can be adapted relatively easily. This bolsters the case for using prehire screening to improve teacher quality and may also indicate the skills and attributes that define teacher quality are largely similar across roles and contexts. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Education Human Resources is the property of University of Toronto Press and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Education Research Complete
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DbLabel: Education Research Complete
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PubType: Academic Journal
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  Data: Screening Teachers Effectively Across Roles and Classrooms.
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  Data: <searchLink fieldCode="AR" term="%22Bruno%2C+Paul%22">Bruno, Paul</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> pbruno@illinois.edu</i>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Education+Human+Resources%22">Journal of Education Human Resources</searchLink>. Oct2025, Vol. 43 Issue 4, p708-734. 27p.
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  Data: *<searchLink fieldCode="DE" term="%22Teacher+role%22">Teacher role</searchLink><br />*<searchLink fieldCode="DE" term="%22Special+education%22">Special education</searchLink><br />*<searchLink fieldCode="DE" term="%22Teacher+effectiveness%22">Teacher effectiveness</searchLink><br />*<searchLink fieldCode="DE" term="%22Educators%22">Educators</searchLink><br />*<searchLink fieldCode="DE" term="%22Predictive+validity%22">Predictive validity</searchLink><br />*<searchLink fieldCode="DE" term="%22Teacher+evaluation%22">Teacher evaluation</searchLink><br />*<searchLink fieldCode="DE" term="%22School+districts%22">School districts</searchLink><br />*<searchLink fieldCode="DE" term="%22Employee+recruitment%22">Employee recruitment</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22Los+Angeles+Unified+School+District%22">Los Angeles Unified School District</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: A growing literature points to the conclusion that information collected while screening applicants has the potential to improve teacher hiring decisions. However, this work sheds little light on the extent to which the predictive validity of screening assessments varies across teacher types or teaching contexts. The author uses information on applicant teachers' performance on prehire screening assessments in the Los Angeles Unified School District to see whether the relationship between performance on specific screening assessments and the outcomes of hired teachers varies across teacher types or student characteristics. The author finds little evidence that the predictive validity of screening instruments varies between elementary or single-subject teachers, or when teachers serve larger proportions of low-income students or English learners. However, the author finds suggestive evidence that screening instruments predict teachers' outcomes somewhat differently in special education contexts. Taken as a whole, these results suggest teacher screening systems do not need to be highly differentiated to be useful or can be adapted relatively easily. This bolsters the case for using prehire screening to improve teacher quality and may also indicate the skills and attributes that define teacher quality are largely similar across roles and contexts. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of Education Human Resources is the property of University of Toronto Press and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=ehh&AN=189014794
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.3138/jehr-2023-0103
    Languages:
      – Code: eng
        Text: English
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      Pagination:
        PageCount: 27
        StartPage: 708
    Subjects:
      – SubjectFull: Teacher role
        Type: general
      – SubjectFull: Special education
        Type: general
      – SubjectFull: Teacher effectiveness
        Type: general
      – SubjectFull: Educators
        Type: general
      – SubjectFull: Predictive validity
        Type: general
      – SubjectFull: Teacher evaluation
        Type: general
      – SubjectFull: School districts
        Type: general
      – SubjectFull: Employee recruitment
        Type: general
      – SubjectFull: Los Angeles Unified School District
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      – TitleFull: Screening Teachers Effectively Across Roles and Classrooms.
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            – D: 01
              M: 10
              Text: Oct2025
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              Y: 2025
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