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Msaidizi
Regression modelQuasi-experimental / causal inference

Tofauti-ndani-ya-Tofauti katika Utafiti wa Elimu

Tofauti-ndani-ya-Tofauti (DiD) katika utafiti wa elimu hutumia kipimo cha kawaida cha karibu-kiholela cha DiD kutathmini sera, programu, na mageuzi ya elimu. Watafiti hulinganisha mabadiliko katika matokeo ya wanafunzi, shule, au wilaya kati ya kundi lililoathiriwa na uingiliaji na kundi linalofanana ambalo halikuathiriwa katika vipindi vya kabla na baada ya uingiliaji, wakitenga athari za sera kutoka kwa mienendo ya msingi.

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Vyanzo

  1. Dynarski, S. M. (2003). Does Aid Matter? Measuring the Effect of Student Aid on College Attendance and Completion. American Economic Review, 93(1), 279-288. DOI: 10.1257/000282803321455287
  2. Angrist, J. D., & Lavy, V. (1999). Using Maimonides' Rule to Estimate the Effect of Class Size on Scholastic Achievement. Quarterly Journal of Economics, 114(2), 533-575. DOI: 10.1162/003355399556061

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 3). Difference-in-Differences Estimator Applied to Education Research. ScholarGate. https://scholargate.app/sw/causal-inference/difference-in-differences-in-education-research

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Imerejelewa na

ScholarGateDifference-in-Differences in Education Research (Difference-in-Differences Estimator Applied to Education Research). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/causal-inference/difference-in-differences-in-education-research · Seti ya data: https://doi.org/10.5281/zenodo.20539026