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A Comment on "Delivering Remote Learning Using a Low-Tech Solution: Evidence from a Randomized Controlled Trial in Bangladesh"

Author

Listed:
  • Fiala, Lenka
  • Fitzgerald, Jack
  • Kujansuu, Essi
  • Mikola, Derek
  • Valenta, David
  • Aparicio, Juan P.
  • Wiebe, Michael
  • Webb, Matthew D.
  • Brodeur, Abel

Abstract

Wang et al. (2024) report that Bangladeshi students randomly given access to lessons on a phone server saw significant learning gains during COVID- 19 school closures. We identify three sets of anomalies. First, this experiment shares participants with another experiment conducted simultaneously in the same region, but test scores for the same children systematically differ between the two experiments. Second, test scores for treated participants exhibit a uniform upward shift that is completely insensitive to the number of lessons children complete. Third, numerous documentation inconsistencies (e.g., concerning survey materials, randomization procedures, etc.) cast doubt on the study's data.

Suggested Citation

  • Fiala, Lenka & Fitzgerald, Jack & Kujansuu, Essi & Mikola, Derek & Valenta, David & Aparicio, Juan P. & Wiebe, Michael & Webb, Matthew D. & Brodeur, Abel, 2025. "A Comment on "Delivering Remote Learning Using a Low-Tech Solution: Evidence from a Randomized Controlled Trial in Bangladesh"," I4R Discussion Paper Series 241, The Institute for Replication (I4R).
    • Handle: RePEc:zbw:i4rdps:241
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    JEL classification:

    • B41 - Schools of Economic Thought and Methodology - - Economic Methodology - - - Economic Methodology
    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality

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