ScholarGate
Msaidizi
Regression modelQuasi-experimental / causal inference

Usanifu wa Muendelezo wa Kukatizwa katika Utafiti wa Elimu

Usanifu wa muendelezo wa kukatizwa (RDD) katika utafiti wa elimu unatumia kikomo cha kufuzu kinachotegemea alama — kama vile kiwango cha alama za mtihani, hitaji la GPA, au kikomo cha umri — kutathmini athari ya kisababishi cha mpango, hatua, au sera kwenye matokeo ya wanafunzi au shule. Vitengo vilivyo juu na chini ya kikomo hicho vinachukuliwa kama vimegawanywa karibu kwa nasibu, kuwezesha uhakiki wa kisababishi bila jaribio la kubahatisha.

Fungua katika MethodMindHivi karibuniApply, compare, get guidance
Tools & resources
Pakua slaidi
Learn & explore
VideoHivi karibuni

Soma mbinu kamili

Kwa wanachama pekee

Ingia kwa akaunti ya bure ili kusoma sehemu hii.

Ingia

Ramani ya mbinu

Jirani ya mbinu zinazohusiana — chagua nodi ili kuchunguza.

Vyanzo

  1. Lee, D. S., & Lemieux, T. (2010). Regression discontinuity designs in economics. Journal of Economic Literature, 48(2), 281-355. DOI: 10.1257/jel.48.2.281
  2. Thistlethwaite, D. L., & Campbell, D. T. (1960). Regression-discontinuity analysis: An alternative to the ex post facto experiment. Journal of Educational Psychology, 51(6), 309-317. DOI: 10.1037/h0044319

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 3). Regression Discontinuity Design in Education Research. ScholarGate. https://scholargate.app/sw/causal-inference/regression-discontinuity-design-in-education-research

Mbinu ipi?

Weka mbinu hii kando ya jamaa zake wa karibu na uzisome bega kwa bega — maktaba huweka vitabu mezani; uamuzi ni wako.

Linganisha bega kwa bega

Imerejelewa na

ScholarGateRegression discontinuity design in education research (Regression Discontinuity Design in Education Research). Imepatikana 2026-06-19 kutoka https://scholargate.app/sw/causal-inference/regression-discontinuity-design-in-education-research · Seti ya data: https://doi.org/10.5281/zenodo.20539026