Ihe Onye nyocha ọ bụla kwesịrị ịma gbasara randomization

\u003ch2\u003e Ihe Onye nyocha ọ bụla kwesịrị ịma gbasara Randomization\u003c/h2\u003e \u003cp\u003e Isiokwu a na-enye nghọta bara uru na ozi gbasara isiokwu ya, na-enye aka na ịkekọrịta ihe ọmụma na nghọta.\u003c/p\u003e \u003ch3\u003e Key Takeaways\u003c/h3\u003e \u003cp\u003e Ndị na-agụ nwere ike ịtụ anya inweta:\u003c/p\u003e \u003cul\u003e \u003c\u003e Nghọta miri emi nke isi okwu\u003c/li\u003e \u003c\u003e Ngwa bara uru na ezigbo mkpa ụwa\u003c/li\u003e \u003c\u003e Echiche ndị ọkachamara na nyocha\u003c/li\u003e \u003c\u003e ozi emelitere maka mmepe ugbu a\u003c/li\u003e \u003c/ul\u003e \u003ch3\u003e Atụmatụ bara uru\u003c/h3\u003e \u003cp\u003e Ọdịnaya dị mma dị ka nke a na-enyere aka wulite ihe ọmụma ma kwalite ime mkpebi ziri ezi na ngalaba dị iche iche.\u003c/p\u003e

Ajụjụ a na-ajụkarị

Gịnị bụ randomization na gịnị kpatara o ji dị mkpa na nnwale?

Randomization bụ usoro ekenye isiokwu ma ọ bụ ọgwụgwọ n'aka ndị otu nnwale na-eji usoro ohere, na-ewepụ mkparị n'usoro. Ọ na-achọpụta na a na-ekesa mgbanwe ndị na-agbagwoju anya n'otu n'otu n'otu n'otu, na-eme ka nsonaazụ ya bụrụ nke a pụrụ ịdabere na ya na ọnụ ọgụgụ. Na-enweghị ezigbo randomization, ihe nnwale nwere ike megharịa site na ihe zoro ezo, na-eduga ná nkwubi okwu ụgha. Ọ bụ isi nkuku nke ezi ihe kpatara ntinye aka na nyocha sayensị na nyocha A/B azụmahịa.

Olee ụdị randomization ndị a na-ejikarị na nnwale?

Ụdị ndị a na-ejikarị eme ihe na-agụnye randomization dị mfe (ọrụ ụdị mkpụrụ ego-atụgharị), ngọngọ randomization (otu kwesịrị ekwesị n'ime blocks akọwapụtara), randomization stratified (ịchịkwa maka isi mgbanwe dị ka afọ ma ọ bụ mpaghara), na ụyọkọ randomization (na-ekenye otu dum karịa ndị mmadụ n'otu n'otu). Usoro ọ bụla dabara na atụmatụ nnwale dị iche iche na akpịrịkpa. Ịhọrọ ụdị ziri ezi dabere na nha nlele gị, mgbanwe ndị ị ga-achịkwa, yana mgbagwoju anya nke ọmụmụ gị.

Kedụ ka enweghị nke ọma ga-esi metụta nsonaazụ nnwale m?

Ogbenye randomization nwere ike iwebata nhọpụta nhọrọ, na-eme ka otu otu dị iche na nke ọzọ tupu nnwale ahụ amalite. Nke a nwere ike iduga mmetụta ọgwụgwọ dị oke ọnụ ma ọ bụ elelị, na-emecha nweta nghọta na-eduhie eduhie. Maka ụlọ ọrụ azụmaahịa na-agba ọsọ ma ọ bụ nnwale ngwaahịa, nke a nwere ike ịpụta itinye ego mmefu ego dabere na data nwere ntụpọ. Ngwa ndị na-akwado usoro ọrụ a haziri ahazi - dị ka ikpo okwu Mewayz 207-module na $ 19 / ọnwa - nwere ike inyere ndị otu aka iwulite ịdọ aka ná ntị, usoro ọmụma data nke na-ebelata mmejọ dị oke ọnụ.

Achọrọ m nnukwu sample size maka randomization na-arụ ọrụ nke ọma?

Mgbe randomization na-arụ ọrụ ọ bụla sample size, ya itule mmetụta na-aghọ ọzọ a pụrụ ịdabere na ka sample size na-abawanye. N'iji obere ihe nlele, ohere enweghị nha n'etiti otu dị iche iche na-adịkarịdị n'okpuru nhụsianya kwesịrị ekwesị. Usoro dị ka stratified ma ọ bụ igbochi randomization na-enyere aka akwụ ụgwọ na obere ọmụmụ. N'agbanyeghị ọkwa ọ bụla, ịhụ na usoro nhazi gị dabara adaba maka ọnọdụ gị dị oke mkpa. Platform dị ka Mewayz, na-enye modul 207 maka naanị $19 / ọnwa, nwere ike ịkwado nyocha na nhazi usoro ọrụ achọrọ iji jikwaa nnwale nke ọma.