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  1. Publication bias and model uncertainty in measuring the effect of class size on achievement
    Autor*in: Opatrny, Matej; Havránek, Tomáš; Havránková, Zuzana; Scasny, Milan
    Erschienen: [2023]
    Verlag:  Institute of Economic Studies, Faculty of Social Sciences, Charles University in Prague, Prague

    Class size reduction mandates are frequent and invariably justified by studies reporting positive effects on student achievement. Yet other studies report no effects, and the literature as a whole awaits correction for potential publication bias.... mehr

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    Standort:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    Signatur:
    DS 167
    Fernleihe:
    keine Fernleihe

     

    Class size reduction mandates are frequent and invariably justified by studies reporting positive effects on student achievement. Yet other studies report no effects, and the literature as a whole awaits correction for potential publication bias. Moreover, if identification drives results systematically, the relevance of individual studies will vary. We build a sample of 1,767 estimates collected from 62 studies and for each estimate codify 42 factors reflecting estimation context. We employ recently developed nonlinear techniques for publication bias correction and Bayesian model averaging techniques that address model uncertainty. The results suggest publication bias among studies featured in top five economics journals, but not elsewhere. The implied class size effect is zero for all identification approaches except Tennessee's Student/Teacher Achievement Ratio project. The effect remains zero for disadvantaged students and across subjects, school types, and countries.

     
    Export in Literaturverwaltung   RIS-Format
      BibTeX-Format
    Quelle: Verbundkataloge
    Sprache: Englisch
    Medientyp: Buch (Monographie)
    Format: Online
    Weitere Identifier:
    hdl: 10419/286348
    Schriftenreihe: IES working paper ; 2023, 19
    Schlagworte: Class size; student learning; meta-analysis; publication bias; Bayesian model averaging
    Umfang: 1 Online-Ressource (circa 51 Seiten), Illustrationen
  2. Publication bias and model uncertainty in measuring the effect of class size on achievement
    Autor*in: Opatrny, Matej; Havránek, Tomáš; Havránková, Zuzana; Scasny, Milan
    Erschienen: 24 May 2023
    Verlag:  Centre for Economic Policy Research, London

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    Verlag (lizenzpflichtig)
    Verlag (lizenzpflichtig)

    Standort:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    Signatur:
    LZ 161
    Fernleihe:
    keine Fernleihe

    Standort:
    Universitätsbibliothek Mannheim
    Fernleihe:
    keine Fernleihe
    Export in Literaturverwaltung   RIS-Format
      BibTeX-Format
    Quelle: Verbundkataloge
    Sprache: Englisch
    Medientyp: Buch (Monographie)
    Format: Online
    Schriftenreihe: Array ; DP18159
    Schlagworte: Class size; student learning; meta-analysis; publication bias; Bayesian model averaging
    Umfang: 1 Online-Ressource (circa 50 Seiten), Illustrationen