{"id":797687,"date":"2022-06-11T09:00:32","date_gmt":"2022-06-11T09:00:32","guid":{"rendered":"https:\/\/www.questionpro.com\/blog\/rastgele-cihaz-etkilesimi-yontemler-ile-ne-oldugu\/"},"modified":"2022-06-11T09:00:32","modified_gmt":"2022-06-11T09:00:32","slug":"rastgele-cihaz-etkilesimi-yontemler-ile-ne-oldugu","status":"publish","type":"post","link":"https:\/\/www.questionpro.com\/blog\/tr\/rastgele-cihaz-etkilesimi-yontemler-ile-ne-oldugu\/","title":{"rendered":"Rastgele cihaz etkile\u015fimi: Y\u00f6ntemler ile ne oldu\u011fu"},"content":{"rendered":"

Telefonlar giderek daha az yayg\u0131nla\u015ft\u0131k\u00e7a, telefon tabanl\u0131 anketler yapmak zorla\u015fmaktad\u0131r. Ancak iyi haber \u015fu ki, anket yapman\u0131n yeni bir yolu var! Rastgele cihaz kat\u0131l\u0131m\u0131 (RDE), bir kat\u0131l\u0131mc\u0131n\u0131n benzersiz tan\u0131mlay\u0131c\u0131s\u0131n\u0131 kat\u0131l\u0131mlar\u0131n\u0131n temel ta\u015f\u0131 olarak kullanan yenilik\u00e7i bir ara\u015ft\u0131rma<\/a> y\u00fcr\u00fctme y\u00f6ntemidir.<\/span><\/p>\n

Cihaz d\u00fcnyas\u0131 reklamlar\u0131n\u0131n tan\u0131mlay\u0131c\u0131s\u0131n\u0131 g\u00f6zlemleyerek, anket<\/a> firmalar\u0131n\u0131n SUMA’larla (tek kullan\u0131c\u0131, \u00e7oklu hesap) ilgili sahtekarl\u0131\u011f\u0131 \u00f6nleyebilece\u011fini belirtmek \u00f6nemlidir. RDE \u00f6rnekleri de tamamen rastgele ve \u00f6nyarg\u0131s\u0131zd\u0131r. Rastgele rakam \u00e7evirmenin bir geli\u015ftirmesi olan bu y\u00f6ntem, sabit hatl\u0131 (ve art\u0131k cep) telefonlarla rastgele ileti\u015fim kurmak i\u00e7in kullan\u0131l\u0131r. <\/span><\/p>\n

Bu esnekli\u011fin geleneksel anket y\u00f6ntemlerine g\u00f6re bir dizi avantaj\u0131 vard\u0131r: RDE’ler daha ucuzdur \u00e7\u00fcnk\u00fc seyahat veya g\u00f6r\u00fc\u015fme yapmakla ilgili di\u011fer masraflar\u0131 gerektirmez; anketi kimin doldurup kimin doldurmad\u0131\u011f\u0131n\u0131 kimse g\u00f6rmedi\u011fi i\u00e7in kat\u0131l\u0131mc\u0131lar i\u00e7in daha fazla gizlilik sa\u011flar ve toplama yerlerinde anket\u00f6rlere veya di\u011fer personele ihtiya\u00e7 olmad\u0131\u011f\u0131 i\u00e7in kat\u0131l\u0131mc\u0131lar\u0131n ankete ne zaman eri\u015febilecekleri konusunda daha fazla kontrol sunar (Tucker 1983; West ve Blom 2017).<\/span><\/p>\n

Rastgele cihaz etkile\u015fimi nedir?<\/b><\/h2>\n

Yaz\u0131m, felsefe ve kalite a\u00e7\u0131s\u0131ndan RDD’nin (Random Digit Dialing) do\u011fal halefi olan Random Device Engagement’\u0131 (RDE) tan\u0131tal\u0131m.<\/span><\/p>\n

Rastgele cihaz etkile\u015fimi (RDE) yoklamas\u0131, cihazlardaki reklam a\u011flar\u0131na veya di\u011fer portallara dayanarak rastgele ki\u015filerin bulunduklar\u0131 yerde etkile\u015fime ge\u00e7mesini sa\u011flar. Bunun en yayg\u0131n versiyonlar\u0131ndan biri ak\u0131ll\u0131 telefon reklam mod\u00fclleridir, ancak oyun, sanal ger\u00e7eklik vb. alanlara da kolayca yerle\u015ftirilebilir.<\/span><\/p>\n

Rastgele Cihaz Kat\u0131l\u0131m\u0131 anketinin arkas\u0131ndaki ilke, bir anket \u015firketi taraf\u0131ndan se\u00e7ilen ki\u015filerin anketlere kat\u0131lma olas\u0131l\u0131\u011f\u0131n\u0131n se\u00e7ilmeyenlere g\u00f6re daha y\u00fcksek olmas\u0131d\u0131r. Reklamverenler, \u00fcr\u00fcn veya hizmetlerinde m\u00fc\u015fteri deneyiminin<\/a> ne oldu\u011funu ve bunlar\u0131 nas\u0131l geli\u015ftirebileceklerini daha iyi anlamak i\u00e7in RDE yoklamas\u0131ndan bu \u015fekilde faydalanabilirler. <\/span><\/p>\n

Rastgele Cihaz Ba\u011flant\u0131s\u0131, \u00f6zellikle RDD ile kar\u015f\u0131la\u015ft\u0131r\u0131ld\u0131\u011f\u0131nda b\u00fcy\u00fck bir fayda sa\u011flar. Anketler birka\u00e7 g\u00fcn i\u00e7inde tamamlanabilirken, RDD’nin haftalar hatta aylar s\u00fcrmesi al\u0131\u015f\u0131lmad\u0131k bir durum de\u011fildir. Sosyal a\u011flar ve destekli kitle kaynak kullan\u0131m\u0131 ile anketler RDE’den biraz daha h\u0131zl\u0131 tamamlanabilir, ancak yine de RDE’nin sundu\u011fu h\u0131zdan yoksundur. <\/span><\/p>\n

\u00c7evrimi\u00e7i paneller, birle\u015ftirilmi\u015f panellerden gelen yan\u0131tlay\u0131c\u0131lar i\u00e7in ekstra \u00f6deme yaparsan\u0131z h\u0131z a\u00e7\u0131s\u0131ndan kar\u015f\u0131la\u015ft\u0131r\u0131labilir (\u00e7evrimi\u00e7i paneller, h\u0131zlar\u0131n\u0131 art\u0131rd\u0131\u011f\u0131 i\u00e7in di\u011fer panellerden yan\u0131tlay\u0131c\u0131 almak i\u00e7in ekstra \u00fccret al\u0131r).<\/span><\/p>\n

RDE’nin do\u011frulu\u011fu s\u00f6z konusu oldu\u011funda, kapsam\u0131n ana fakt\u00f6rlerden biri oldu\u011funu bilmek \u00f6nemlidir. ABD pazar\u0131nda, ba\u015fl\u0131ca RDE \u015firketleri 5.000.000’dan fazla tekil kat\u0131l\u0131mc\u0131ya ula\u015fabilmektedir. RDE \u015fu anda kapsam a\u00e7\u0131s\u0131ndan RDD’nin gerisinde kalmaktad\u0131r, ancak yak\u0131nda yakalayacakt\u0131r. Sosyal medyay\u0131 kullanan kitle kaynakl\u0131<\/a> yoklama, sosyal medya destekli kitle kaynak kullan\u0131m\u0131na benzer ve kapsama alan\u0131 \u00e7evrimi\u00e7i panellerden daha \u00fcst\u00fcnd\u00fcr. <\/span><\/p>\n

\u00c7evrimi\u00e7i olarak sunulan paneller \u00e7ok k\u00fc\u00e7\u00fck bir alana sahiptir ve bu da n\u00fcfus hakk\u0131nda ayr\u0131nt\u0131l\u0131 bilgi toplama yeteneklerini etkilemektedir.<\/span><\/p>\n

Rastgele Cihaz Ba\u011flant\u0131s\u0131 Y\u00f6ntemleri<\/b><\/h2>\n

RDE \u00f6rneklerinin ne kadar etkili olabilece\u011fini g\u00f6stermek i\u00e7in hem Goel, Obeng ve Rothschild (2015) hem de Konitzer, Corbett-Davies ve Rothschild (N.d.) taraf\u0131ndan yay\u0131nlanan \u00e7al\u0131\u015fmalar\u0131 g\u00f6zden ge\u00e7irelim. Ve 2017-2018 \u00f6zel kongre se\u00e7imlerinden \u00f6rnekler ekleyin.<\/span><\/p>\n

\u0130lk \u00e7al\u0131\u015fma Goel ve di\u011ferleri (2015) taraf\u0131ndan Michigan’daki genel se\u00e7imlerde 1.200 kay\u0131tl\u0131 se\u00e7menden olu\u015fan n\u00fcfus temelli bir \u00f6rneklem kullan\u0131larak ger\u00e7ekle\u015ftirilmi\u015ftir. \u00d6rneklem, Michigan’daki Board of Canvassers’\u0131n resmi se\u00e7men dosyalar\u0131ndan al\u0131nm\u0131\u015f ve 2004 y\u0131l\u0131nda oy kullanma hakk\u0131na sahip olan ancak oy kullanmayan se\u00e7menleri i\u00e7ermi\u015ftir. <\/span><\/p>\n

Bu \u00e7al\u0131\u015fma, se\u00e7men olmayanlar\u0131n 2004 y\u0131l\u0131nda Kerry’yi Bush’a tercih etme olas\u0131l\u0131klar\u0131n\u0131n se\u00e7menlerden daha y\u00fcksek oldu\u011funu ortaya koymu\u015ftur; se\u00e7menler aras\u0131nda sadece y\u00fczde 3 puanl\u0131k bir avantaja kar\u015f\u0131l\u0131k, se\u00e7men olmayanlar aras\u0131nda Kerry i\u00e7in y\u00fczde 8 puanl\u0131k bir g\u00f6receli avantaj s\u00f6z konusudur (p<0.05).<\/span><\/p>\n

\u0130kinci \u00e7al\u0131\u015fma Konitzer ve di\u011ferleri (2016) taraf\u0131ndan y\u00fcr\u00fct\u00fclm\u00fc\u015ft\u00fcr. 2008 ba\u015fkanl\u0131k se\u00e7im d\u00f6ng\u00fcs\u00fc s\u0131ras\u0131nda RDD’ler arac\u0131l\u0131\u011f\u0131yla 1.068 kat\u0131l\u0131mc\u0131yla g\u00f6r\u00fc\u015fen Cooperative Congressional Election Study (CCES) kullan\u0131lm\u0131\u015ft\u0131r. CCES veri seti, kat\u0131l\u0131mc\u0131lar\u0131n siyasi tutumlar\u0131n\u0131n yan\u0131 s\u0131ra ge\u00e7mi\u015f oy verme davran\u0131\u015flar\u0131 hakk\u0131nda da bilgi i\u00e7ermekte ve bu da Konitzer ve di\u011ferlerinin ge\u00e7mi\u015f oy verme davran\u0131\u015f\u0131n\u0131n gelecekteki kat\u0131l\u0131m\u0131 nas\u0131l etkiledi\u011fini incelemelerine olanak tan\u0131maktad\u0131r.<\/span><\/p>\n

Ara\u015ft\u0131rmac\u0131lar, Pollfish arac\u0131l\u0131\u011f\u0131yla RDE kullan\u0131m\u0131n\u0131n Genel Sosyal Anket gibi alt\u0131n standart anketlerle nas\u0131l yak\u0131ndan e\u015fle\u015febildi\u011fini g\u00f6sterebilmi\u015ftir. Ara\u015ft\u0131rmac\u0131lar, bu y\u00f6ntemin anketlerde<\/a> ev aramalar\u0131n\u0131n yerine kullan\u0131labilece\u011fini, \u00e7\u00fcnk\u00fc ev aramalar\u0131n\u0131n \u00e7o\u011fu ara\u015ft\u0131rma projesinin kar\u015f\u0131layamayaca\u011f\u0131 kadar pahal\u0131 oldu\u011funu, bu nedenle bunun yararl\u0131 bir \u00f6l\u00e7\u00fct oldu\u011funu bulmu\u015flard\u0131r.<\/span><\/p>\n

Sonu\u00e7lar, tek bir ankete dayanan tahminlerinin, Huffington Post Pollster (HPP) gibi anket toplay\u0131c\u0131lar\u0131n\u0131n tahminlerinden \u00f6nemli \u00f6l\u00e7\u00fcde daha k\u00f6t\u00fc olmad\u0131\u011f\u0131n\u0131 g\u00f6stermi\u015ftir. Eyalet baz\u0131nda tahminlerini ger\u00e7ek sonu\u00e7larla kar\u015f\u0131la\u015ft\u0131rd\u0131klar\u0131nda, HPP’nin tahminlerine k\u0131yasla kendi RMSE’lerinin sadece biraz daha y\u00fcksek oldu\u011funu g\u00f6rd\u00fcler: %4,24 puana kar\u015f\u0131l\u0131k %3,62 puan (DC hari\u00e7 50 eyalet i\u00e7in)<\/span><\/p>\n

Y\u00f6ntem #1 – Rastgele Rakam \u00c7evirme (RDD)<\/span><\/b><\/h3>\n

\u0130lk y\u00f6ntem olan Rastgele Rakam \u00c7evirme (RDD) geleneksel y\u00f6ntemdir. \u0130yi \u00e7al\u0131\u015f\u0131yor, ancak \u00f6n\u00fcm\u00fczdeki birka\u00e7 y\u0131l i\u00e7inde mahkum olacak. Dolay\u0131s\u0131yla, bu asl\u0131nda yeni \u00e7evrimi\u00e7i anket \u00f6rnekleme y\u00f6ntemlerinden hangisinin onun yerini alaca\u011f\u0131yla ilgilidir: \u00e7evrimi\u00e7i paneller, Destekli Kitle Kaynak Kullan\u0131m\u0131 veya Rastgele Cihaz Kat\u0131l\u0131m\u0131 (RDE). Gelece\u011fin RDE’de oldu\u011funa inan\u0131yoruz.<\/span><\/p>\n

2017 ve 2018 boyunca anket firmalar\u0131 Kongre se\u00e7im sonu\u00e7lar\u0131n\u0131 tahmin etmek i\u00e7in her \u00fc\u00e7 yeni y\u00f6ntemi de kulland\u0131: RDE di\u011fer ikisinden \u00e7ok daha \u00fcst\u00fcn \u00e7\u0131kt\u0131.<\/span><\/p>\n

Anket firmalar\u0131 2017 ve 2018 Kongre se\u00e7im sonu\u00e7lar\u0131n\u0131 tahmin etmek i\u00e7in \u00fc\u00e7 yeni y\u00f6ntem kulland\u0131. RDE di\u011ferlerinden daha iyi performans g\u00f6sterir.<\/span><\/p>\n

Bu makalede, Pew Ara\u015ft\u0131rma Merkezi taraf\u0131ndan y\u00fcr\u00fct\u00fclen anketler de dahil olmak \u00fczere, y\u00f6ntemin g\u00fc\u00e7l\u00fc y\u00f6nlerine ili\u015fkin ayr\u0131nt\u0131l\u0131 bir analiz sunuyoruz.<\/span><\/p>\n

Y\u00f6ntem #2 –Telemetri Verileri<\/span><\/b><\/h3>\n

Anket ara\u015ft\u0131rmalar\u0131nda telemetri verilerinin kullan\u0131m\u0131 yeni de\u011fildir. Asl\u0131nda bu tekni\u011fin en \u00fcnl\u00fc \u00f6rne\u011fi, 1948’den beri hane halk\u0131 d\u00fczeyinde telefonla ve y\u00fcz y\u00fcze anketler toplayan Amerikan Ulusal Se\u00e7im \u00c7al\u0131\u015fmalar\u0131d\u0131r (ANES). ANES, ara\u015ft\u0131rmac\u0131lar\u0131n zaman i\u00e7indeki ve co\u011frafi konumlar aras\u0131ndaki de\u011fi\u015fiklikleri izleyebilmeleri i\u00e7in bu bilgileri s\u00fcrekli olarak toplamaktad\u0131r.<\/span><\/p>\n

Son zamanlarda RDE, toplanan tutumsal verileri \u00e7e\u015fitli parametrik veya telemetrik verilerle desteklemeye ba\u015flam\u0131\u015ft\u0131r.<\/span><\/p>\n

Hepimizin bildi\u011fi gibi, ankete kat\u0131lan insanlar, ankete kat\u0131lmayanlardan temelde farkl\u0131d\u0131r. \u0130lerici analiz \u015firketi CIVIS’in yak\u0131n zamanda savundu\u011fu gibi, anket kat\u0131l\u0131mc\u0131lar\u0131n\u0131n s\u0131ra d\u0131\u015f\u0131 oldu\u011fu t\u00fcm yollar\u0131 tartabilmek ve d\u00fczeltebilmek i\u00e7in sosyal g\u00fcven ve kozmopolitlik kavramlar\u0131n\u0131 ele alan yakla\u015f\u0131k 30 ek demografik, tutumsal ve ya\u015fam tarz\u0131 sorusu gereklidir. <\/span><\/p>\n

Konitzer, Eckman ve Rothschild’in (2016) belirtti\u011fi gibi, telemetri verileri bu de\u011fi\u015fkenleri toplamak i\u00e7in \u00e7ok daha uygun maliyetli (ve g\u00f6ze batmayan) bir yoldur. Uydu tabanl\u0131 (son derece do\u011fru) uzunlamas\u0131na konum-koordinat verilerinden elde edilen ev ve i\u015f konumu, i\u015fe gidip gelme veya hareketlilik kal\u0131plar\u0131 veya ki\u015finin mahallesinin veya sosyal a\u011f\u0131n\u0131n siyasi yap\u0131s\u0131 demografik de\u011fi\u015fkenleri iyi tahmin eder.<\/span><\/p>\n

Y\u00f6ntem #3 – Nehir \u00f6rneklemesi<\/span><\/b><\/h3>\n

Nehir \u00f6rneklemesi, banner reklamlar\u0131 kullanan bir kat\u0131l\u0131mc\u0131 bulma y\u00f6ntemidir. Pazar ara\u015ft\u0131rmas\u0131 ve anketlerde yayg\u0131n bir uygulamad\u0131r, ancak baz\u0131 \u00f6nemli dezavantajlar\u0131 vard\u0131r.<\/span><\/p>\n

Nehir \u00f6rnekleme y\u00f6ntemine<\/a> ba\u011fl\u0131 olarak, anket i\u00e7in banner reklamlar kullan\u0131labilir veya kat\u0131l\u0131m, eski web siteleri veya H\u0131zl\u0131 Veri Say\u0131m\u0131n\u0131n kat\u0131l\u0131mc\u0131lar\u0131 toplad\u0131\u011f\u0131 yerler arac\u0131l\u0131\u011f\u0131yla ger\u00e7ekle\u015ftirilebilir. RDE’nin hesap numaralar\u0131na eri\u015fimi vard\u0131r, ancak nehir \u00f6rneklemesinin yoktur, bu da iki ciddi dezavantaj\u0131 beraberinde getirir: Nehir \u00f6rneklemesi SUMA’y\u0131 tespit edemez – doland\u0131r\u0131c\u0131lar ayn\u0131 ankete iki kez kat\u0131larak hile yapabilir, \u00f6zellikle de kat\u0131l\u0131m i\u00e7in mali bir te\u015fvik varsa. Ve herhangi bir derecede demografik\/co\u011frafi hedefleme imkans\u0131z g\u00f6r\u00fcn\u00fcyor. <\/span><\/p>\n

S\u00fcre\u00e7 basittir: sunucuya bir reklam iste\u011fi gelir, sunucu da bunu do\u011frudan i\u015flenmek \u00fczere reklam a\u011f\u0131na y\u00f6nlendirir. Reklam a\u011f\u0131, s\u00f6z konusu kullan\u0131c\u0131 i\u00e7in uygun herhangi bir reklam olup olmad\u0131\u011f\u0131n\u0131 belirler ve bunlar\u0131 sunucuya g\u00f6nderir.<\/span><\/p>\n

\u0130yi bir RDE yoklamas\u0131, yay\u0131nc\u0131n\u0131n i\u015fbirli\u011fi ile yap\u0131l\u0131r ve yerel bir deneyim sa\u011flarken, banner reklamlar reklam a\u011f\u0131 \u00fczerinden yay\u0131nlan\u0131r.<\/span><\/p>\n

Rastgele Cihaz Ba\u011flant\u0131s\u0131 \u00d6rnekleri<\/b><\/h2>\n

Daha \u00f6nce de belirtti\u011fimiz gibi, Rastgele Rakam \u00c7evirmenin (RDD) sonunun geldi\u011fine inan\u0131yoruz. \u00c7evrimi\u00e7i paneller etkili ancak pahal\u0131d\u0131r, Destekli Kitle Kaynak Kullan\u0131m\u0131 iyi \u00e7al\u0131\u015f\u0131r ancak \u00e7ok uzun s\u00fcrer ve Rastgele Cihaz Kat\u0131l\u0131m\u0131 (RDE) \u00e7ok daha h\u0131zl\u0131 ve uygun maliyetlidir.<\/span><\/p>\n

RDE’nin gelece\u011fi parlak. Cihazlar\u0131n penetrasyonu gelecekte daha da artarak RDE’nin ABD’deki eri\u015fimini art\u0131racak ve RDE’yi daha az geli\u015fmi\u015f pazarlarda tek uygulanabilir alternatif haline getirecektir. Afrika’y\u0131 ele alal\u0131m: ak\u0131ll\u0131 telefon penetrasyon oran\u0131n\u0131n bir \u00f6nceki y\u0131la g\u00f6re %52,9 oran\u0131nda artaca\u011f\u0131 tahmin ediliyor. <\/span><\/p>\n

\u015eu anda k\u0131ta genelinde 293 milyon ak\u0131ll\u0131 telefon kullan\u0131c\u0131s\u0131 bulunuyor; bu da mevcut b\u00fcy\u00fcme oranlar\u0131 dikkate al\u0131nd\u0131\u011f\u0131nda 2021 y\u0131l\u0131na kadar Afrika’da 929,9 milyon ak\u0131ll\u0131 telefon olaca\u011f\u0131 anlam\u0131na geliyor. Ancak RDE i\u00e7in pembe gelecek sadece penetrasyonla ilgili de\u011fil; Reklam Kimliklerini Amerikan pazar\u0131ndaki di\u011fer bilinen tan\u0131mlay\u0131c\u0131larla k\u00f6pr\u00fcleme konusundaki ilerlemeler, finansal ge\u00e7mi\u015fe veya kredi kart\u0131 harcama modellerine dayal\u0131 bireysel hedeflemenin m\u00fcmk\u00fcn olaca\u011f\u0131 anlam\u0131na geliyor.<\/span><\/p>\n

Veri kaynaklar\u0131 aras\u0131nda k\u00f6pr\u00fc kurmaktan bahsetmi\u015fken: siyasi anket firmalar\u0131 art\u0131k 250 milyon Amerikal\u0131dan olu\u015fan bir se\u00e7men dosyas\u0131ndan do\u011frudan anket yapabiliyor.<\/span><\/p>\n

Sonu\u00e7<\/b><\/h2>\n

Geleneksel RDD’nin nas\u0131l \u00e7al\u0131\u015ft\u0131\u011f\u0131n\u0131 ve sabit hatlara sahip olma olas\u0131l\u0131\u011f\u0131 daha d\u00fc\u015f\u00fck olan gen\u00e7lerin kat\u0131l\u0131m eksikli\u011fi nedeniyle nas\u0131l mahkum oldu\u011funu tart\u0131\u015farak ba\u015flad\u0131k. \u0130ki yeni tekni\u011fi inceledik: \u00e7evrimi\u00e7i paneller ve destekli Kitle Kaynak Kullan\u0131m\u0131. \u00c7evrimi\u00e7i paneller geleneksel RDD’ye benzer ancak daha modern bir teknolojiye sahiptir; kat\u0131l\u0131mc\u0131lar\u0131n herhangi bir soruyu kendilerinin yan\u0131tlamas\u0131n\u0131 veya hatta bir insanla konu\u015fmas\u0131n\u0131 gerektirmez. <\/span><\/p>\n

Bunun yerine, kat\u0131lmay\u0131 kabul eden internet kullan\u0131c\u0131lar\u0131ndan veri toplamak<\/a> i\u00e7in otomatik komut dosyalar\u0131 ve algoritmalar kullan\u0131rlar. Destekli Kitle Kaynak Kullan\u0131m\u0131, bilgisayarlar\u0131n yan\u0131 s\u0131ra insanlar\u0131 da kullan\u0131r; insanlar g\u00f6r\u00fcnt\u00fcleri etiketlemek veya ses kay\u0131tlar\u0131n\u0131 yaz\u0131ya d\u00f6kmek gibi g\u00f6revler i\u00e7in kullan\u0131l\u0131rken, bilgisayarlar duygu analizi amac\u0131yla metin belgelerini analiz etmek gibi di\u011fer i\u015fleri yapar.<\/span><\/p>\n

Son olarak, tercih etti\u011fimiz y\u00f6ntemi tart\u0131\u015ft\u0131k: Rastgele Cihaz Ba\u011flant\u0131s\u0131 (RDE). Bu y\u00f6ntem, cihazlar\u0131 otomatik olarak tan\u0131mlamak i\u00e7in geli\u015fmi\u015f algoritmalar kullan\u0131r.<\/span><\/p>\n

QuestionPro’nun Kitle ile ara\u015ft\u0131rman\u0131n g\u00fcc\u00fcn\u00fc nas\u0131l ortaya \u00e7\u0131karaca\u011f\u0131n\u0131z\u0131 \u00f6\u011frenin. \u00dcr\u00fcnlerimiz 50’den fazla \u00fclkede 3 milyondan fazla ki\u015fi taraf\u0131ndan kullan\u0131l\u0131yor ve m\u00fc\u015fterilerinizden ve m\u00fc\u015fterilerinizden daha anlaml\u0131 bilgiler toplaman\u0131za yard\u0131mc\u0131 olmak i\u00e7in teknolojimizi kullanman\u0131n her zaman yeni yollar\u0131n\u0131 ar\u0131yoruz.<\/span><\/p>\n

Kullan\u0131m <\/span>QuestionPro’nun Hedef Kitlesi<\/span> Size daha iyi veriler sa\u011flayacak daha do\u011fru anketler olu\u015fturman\u0131za yard\u0131mc\u0131 olmak i\u00e7in. <\/span> <\/p>\n

DAHA FAZLA BI\u0307LGI\u0307 EDI\u0307NI\u0307N<\/strong><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

Telefonlar giderek daha az yayg\u0131nla\u015ft\u0131k\u00e7a, telefon tabanl\u0131 anketler yapmak zorla\u015fmaktad\u0131r. Ancak iyi haber \u015fu ki, anket yapman\u0131n yeni bir yolu […]<\/p>\n","protected":false},"author":67,"featured_media":712697,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_genesis_hide_title":false,"_genesis_hide_breadcrumbs":false,"_genesis_hide_singular_image":false,"_genesis_hide_footer_widgets":false,"_genesis_custom_body_class":"","_genesis_custom_post_class":"","_genesis_layout":"","footnotes":""},"categories":[1121],"tags":[],"yoast_head":"\nRastgele cihaz etkile\u015fimi: Y\u00f6ntemler ile ne oldu\u011fu | QuestionPro<\/title>\n<meta name=\"description\" content=\"Rastgele cihaz ba\u011flant\u0131s\u0131, yaz\u0131m, felsefe ve kalite a\u00e7\u0131s\u0131ndan RDD'nin (Random Digit Dialing) do\u011fal halefidir.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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