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Screen Twice, Cut Once: Assessing the Predictive Validity of Applicant Selection Tools

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Title: Screen Twice, Cut Once: Assessing the Predictive Validity of Applicant Selection Tools
Language: English
Authors: Goldhaber, Dan, Grout, Cyrus, Huntington-Klein, Nick
Source: Grantee Submission. 2017.
Peer Reviewed: Y
Page Count: 49
Publication Date: 2017
Sponsoring Agency: Institute of Education Sciences (ED)
Contract Number: R305H130030
R305A060018
Document Type: Reports - Research
Descriptors: Predictive Validity, Admission (School), Public Schools, Selection Tools, Teacher Selection, Competitive Selection, Screening Tests, Value Added Models, Faculty Mobility, Mathematics Achievement, Teacher Attendance
Geographic Terms: Washington
DOI: 10.1162/EDFP_a_00200
Abstract: Despite their widespread use, there is little academic evidence on whether applicant selection instruments can improve teacher hiring. We examine the relationship between two screening instruments used by Spokane Public Schools to select classroom teachers, and three teacher outcomes: value added, absences, and attrition. We observe all applicants to the district (not only those who are hired), allowing us to estimate sample selection corrected models using random tally errors and variation in the level of competition across job postings as instruments. Ratings on the screening instruments significantly predict value added in math and teacher attrition, but not absences--an increase of one standard deviation in screening scores is associated with an increase of about 0.06 standard deviations of student math achievement, and a decrease in teacher attrition of 3 percentage points. The use of selection instruments may represent an efficient means of improving the quality of the teacher workforce. [This paper was published in "Education Finance and Policy" v12 n2 p197-223 2017 (EJ1137959).]
Abstractor: As Provided
IES Funded: Yes
Entry Date: 2022
Accession Number: ED618316
Database: ERIC
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  Data: Despite their widespread use, there is little academic evidence on whether applicant selection instruments can improve teacher hiring. We examine the relationship between two screening instruments used by Spokane Public Schools to select classroom teachers, and three teacher outcomes: value added, absences, and attrition. We observe all applicants to the district (not only those who are hired), allowing us to estimate sample selection corrected models using random tally errors and variation in the level of competition across job postings as instruments. Ratings on the screening instruments significantly predict value added in math and teacher attrition, but not absences--an increase of one standard deviation in screening scores is associated with an increase of about 0.06 standard deviations of student math achievement, and a decrease in teacher attrition of 3 percentage points. The use of selection instruments may represent an efficient means of improving the quality of the teacher workforce. [This paper was published in "Education Finance and Policy" v12 n2 p197-223 2017 (EJ1137959).]
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        PageCount: 49
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      – SubjectFull: Predictive Validity
        Type: general
      – SubjectFull: Admission (School)
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      – SubjectFull: Public Schools
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      – SubjectFull: Selection Tools
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      – SubjectFull: Teacher Selection
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      – SubjectFull: Competitive Selection
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      – SubjectFull: Screening Tests
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      – SubjectFull: Value Added Models
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      – SubjectFull: Mathematics Achievement
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      – SubjectFull: Teacher Attendance
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      – SubjectFull: Washington
        Type: general
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