Using Samples-of-Opportunity to Assess Gender Bias in Principal Evaluations of Teachers: A Cautionary Tale.

This paper uses two “samples-of-opportunity” datasets to examine whether principal evaluations of teachers differ systematically across genders after controlling for arguably gender unbiased measures of teacher productivity—-namely value-added student test scores calculated relative to other teacher...

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Publicado en:Journal of Labor Research Vol. 39; no. 3; pp. 235 - 259
Autores principales: Bjerk, David, Ozbeklik, Serkan
Formato: Artículo
Publicado: Springer Nature Sep2018
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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      pub: Springer Nature
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        10.1007/s12122-018-9271-1
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        atl: Using Samples-of-Opportunity to Assess Gender Bias in Principal Evaluations of Teachers: A Cautionary Tale.
      aug:
        au:
          Bjerk, David
          Ozbeklik, Serkan
        affil: The Robert Day School of Economics and Finance, Claremont McKenna College, Claremont, USA
      su:
        Higher education
        Sex discrimination
        Decision making
        Regression analysis
        Employee selection
      sug:
        subj:
          Higher education
          Sex discrimination
          Decision making
          Regression analysis
          Employee selection
      keyword:
        Discrimination
        External validity
        I21
        J16
        J71
        Principal ratings
        Teacher quality
        Discrimination
        External validity
        I21
        J16
        J71
        Principal ratings
        Teacher quality
      ab: This paper uses two “samples-of-opportunity” datasets to examine whether principal evaluations of teachers differ systematically across genders after controlling for arguably gender unbiased measures of teacher productivity—-namely value-added student test scores calculated relative to other teachers in the same grade/school (where teachers are randomly allocated to classrooms within the same grade/school). While the two datasets appear to be quite similar in nature, both were samples-of-opportunity in that they were not representative of any particular population. Our findings differ substantially across datasets. This exercise reveals how results in the education and discrimination literature may be sensitive to the sample used.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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