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Beyond “Treatment Versus Control†: How Bayesian Analysis Makes Factorial Experiments Feasible in Education Research

Author

Listed:
  • Daniel Kassler
  • Ira Nichols-Barrer
  • Mariel Finucane

Abstract

Researchers often wish to test a large set of related interventions or approaches to implementation.

Suggested Citation

  • Daniel Kassler & Ira Nichols-Barrer & Mariel Finucane, "undated". "Beyond “Treatment Versus Control†: How Bayesian Analysis Makes Factorial Experiments Feasible in Education Research," Mathematica Policy Research Reports f5702436ca9d46d5ad4ae54bb, Mathematica Policy Research.
  • Handle: RePEc:mpr:mprres:f5702436ca9d46d5ad4ae54bb032e7e8
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    File URL: https://journals.sagepub.com/doi/10.1177/0193841X18818903
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    Keywords

    methodological development; content area; design and evaluation of programs and policies; experimental design; factorial design; Bayesian modeling;
    All these keywords.

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