Nea Ɛsɛ sɛ Ɔsɔhwɛfo Biara Hu Fa Randomization Ho

\u003ch2\u003eNea Ɛsɛ sɛ Ɔsɔhwɛfoɔ Biara Hu Fa Randomization ho\u003c/h2\u003e \u003cp\u003eAsɛm yi de nhumu ne nsɛm a ɛsom bo ma wɔ n'asɛmti ho, na ɛboa ma nimdeɛ kyɛ ne nteaseɛ.\u003c/p\u003e \u003ch3\u003eNneɛma a Wɔde Fa Nneɛma Titiriw\u003c/h3\u003e \u003cp\u003eAkenkanfoɔ bɛtumi ahwɛ kwan sɛ wɔbɛnya mfasoɔ:\u003c/p\u003e \u003cul\u003e na ɛwɔ hɔ \u003cli\u003eNteaseɛ a emu dɔ wɔ asɛmti no ho\u003c/li\u003e \u003cli\u003eNneɛma a wɔde di dwuma a mfaso wɔ so ne wiase ankasa mu mfaso\u003c/li\u003e \u003cli\u003eAnimdefoɔ adwene ne nhwehwɛmu\u003c/li\u003e \u003cli\u003eNsɛm a wɔayɛ no foforo a ɛfa mprempren nkɔso ho\u003c/li\u003e \u003c/ul\u003e na ɛyɛ adwuma \u003ch3\u003eBoɔ a Wɔde Di Dwuma\u003c/h3\u003e \u003cp\u003eNsɛm a ɛyɛ papa te sɛ yei boa ma wɔkyekye nimdeɛ na ɛhyɛ gyinaesie a ɛwɔ nimdeɛ ho nkuran wɔ nnwuma ahodoɔ mu.\u003c/p\u003e

Nsɛmmisa a Wɔtaa Bisa

Dɛn ne randomization na adɛn nti na ɛho hia wɔ nhwehwɛmu mu?

Randomization yɛ ɔkwan a wɔfa so de asɛmti anaa ayaresa ma nhwehwɛmu akuw denam akwanhyia kwan so, na wɔyi nhyehyɛe mu animhwɛ fi hɔ. Ɛhwɛ sɛ wɔbɛkyekyɛ nsakraeɛ a ɛma adwene tu fra no mu pɛpɛɛpɛ wɔ akuo ahodoɔ mu, na ɛma nea ɛfiri mu ba no yɛ nea wotumi de ho to so na ɛyɛ akontaabuo mu deɛ ɛyɛ nokware. Sɛ wɔanhyehyɛ nea wɔanhyɛ da yiye a, nneɛma a ahintaw betumi asɛe nea efi sɔhwɛ ahorow mu ba no, na ɛde atoro aba awiei. Ɛyɛ tweatibo a ɛwɔ causal inference a ɛfata wɔ nyansahu mu nhwehwɛmu ne adwumayɛ A/B sɔhwɛ nyinaa mu.

Dɛn ne randomization ahorow a wɔtaa de di dwuma wɔ sɔhwɛ ahorow mu?

Ahodoɔ a wɔde di dwuma kɛseɛ ne randomization a ɛnyɛ den (coin-flip style assignment), block randomization (akuo a ɛkari pɛ wɔ blocks a wɔakyerɛkyerɛ mu), stratified randomization (a ɛhwɛ nsakraeɛ titire te sɛ mfeɛ anaa ɔmantam so), ne cluster randomization (a wɔde ma akuo mũ no nyinaa mmom sen ankorankoro). Ɔkwan biara fata sɔhwɛ nhyehyɛe ne nsenia ahorow. Ɔkwan a ɛfata a wobɛpaw no gyina wo nhwɛsode kɛse, nsakrae ahorow a ɛsɛ sɛ wudi so, ne sɛnea w’adesua no yɛ den so.

Ɛbɛyɛ dɛn na randomization a enye betumi aka me nhwehwɛmu aba?

Randomization a enye betumi de selection bias aba, na ama kuw biako ayɛ soronko wɔ nhyehyɛe kwan so wɔ foforo ho ansa na sɔhwɛ no afi ase mpo. Eyi betumi ama wɔabu ayaresa no nkɛntɛnso a ɛboro so anaasɛ wɔabu no adewa, na awiei koraa no, ɛde nhumu a ɛdaadaa aba. Wɔ nnwuma a wɔreyɛ nkɔso anaa nneɛma a wɔyɛ ho sɔhwɛ ahorow fam no, eyi betumi akyerɛ sɛ wɔbɛkyekyɛ sikasɛm nhyehyɛe a ɛnteɛ a egyina nsɛm a mfomso wom so. Nnwinnadeɛ a ɛboa adwumayɛ nhyehyɛeɛ a wɔahyehyɛ — te sɛ 207-module Mewayz platform a ɛyɛ $19/ɔsram — bɛtumi aboa akuo ma wɔakyekyere nteɛsoɔ, data-informed processes a ɛtew mfomsoɔ a ɛho ka yɛ den saa.

So mehia nhwɛsoɔ kɛseɛ kɛseɛ ma randomization na ayɛ adwuma yie?

Bere a randomization yɛ adwuma wɔ sample size biara mu no, ne balance effect no bɛyɛ nea wotumi de ho to so kɛse bere a sample size kɔ soro no. Sɛ wɔde nhwɛsode nketewa di dwuma a, ɛda adi sɛ akuw ahorow ntam a ɛnkari pɛ wɔ akwanhyia mu no ba kɛse wɔ randomization a ɛfata mpo ase. Akwan te sɛ stratified anaa block randomization boa ma wotua ka wɔ nhwehwɛmu nketewa mu. Ɛmfa ho sɛnea kɛse te no, hwɛ a wobɛhwɛ sɛ wo randomization kwan no fata wo nsɛm a ɛfa ho no ho hia yiye. Platforms te sɛ Mewayz, a ɛde module 207 ma $19/ɔsram pɛ no, betumi aboa nhwehwɛmu ne adwumayɛ nhyehyɛe a ɛho hia na wɔadi sɔhwɛ ahorow ho dwuma yiye.