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June 11, 2026Quantitative Science StudiesOpen Access

Triangulating outcomes, timeframes, and estimation methods in quasi-experimental research funding evaluation: a case from Poland

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Authors

APAdam Płoszaj

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Overview

Quasi-experimental analysis shows how evaluation outcomes can vary based on methodological choices, informing policymakers.

Key Points

  • The aim is to demonstrate how changes in evaluation methods and timeframes affect outcomes in quasi-experimental research funding evaluations.
  • Comparison of 12 outcome variables across six different timeframes.
  • Application of three quasi-experimental methods: difference-in-differences, propensity score matching, and regression discontinuity design.
  • Assessment of the consistency of effects across various methodological combinations.
  • Outcomes varied significantly based on different methodological choices.
  • Only a few effects were consistent across most evaluation methods.
  • Findings highlight the importance of methodological rigor in research evaluation, impacting policy decisions.

Cite This Study

Adam Płoszaj (2026) studied this question.

synapsesocial.com/papers/6a2a51d780c8f91e7f39dfa3https://doi.org/10.1162/qss.a.491
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Also Consider

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  4. 4Methodological Assessment of Quasi-Experimental Designs in Tanzanian Secondary Schools Systems2010
  5. 5Methodological Assessment of Quasi-Experimental Designs for Evaluating Community Health Centre Systems in Tanzania,2001