ScholarGate
Msaidizi
Regression modelQuasi-experimental / causal inference

Mchanganuo wa Mijadala ya Wakati wa Sera Iliyoingiliwa

Mijadala ya Wakati wa Sera Iliyoingiliwa (ITS) kwa ajili ya tathmini ya sera hutumia data za muda wa mfululizo zilizokusanywa mara kwa mara ili kukadiria athari ya kisababishi ya mabadiliko ya sera. Mfumo wa regression uliogawanywa huigawanya mfululizo katika tarehe maalum ya uingiliaji, ukikadiria mabadiliko ya kiwango cha papo hapo na mabadiliko katika mwelekeo yanayohusiana na sera — bila kuhitaji kundi la udhibiti lililopangwa kwa nasibu.

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. Bernal, J. L., Cummins, S., & Gasparrini, A. (2017). Interrupted time series regression for the evaluation of public health interventions: a tutorial. International Journal of Epidemiology, 46(1), 348-355. DOI: 10.1093/ije/dyw098
  2. Box, G. E. P., & Tiao, G. C. (1975). Intervention Analysis with Applications to Economic and Environmental Problems. Journal of the American Statistical Association, 70(349), 70-79. DOI: 10.1080/01621459.1975.10480264

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 3). Interrupted Time Series Analysis for Policy Evaluation. ScholarGate. https://scholargate.app/sw/causal-inference/policy-evaluation-interrupted-time-series

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

ScholarGatePolicy Evaluation Interrupted Time Series (Interrupted Time Series Analysis for Policy Evaluation). Imepatikana 2026-06-17 kutoka https://scholargate.app/sw/causal-inference/policy-evaluation-interrupted-time-series · Seti ya data: https://doi.org/10.5281/zenodo.20539026