{"id":790044,"date":"2023-03-19T11:00:00","date_gmt":"2023-03-19T18:00:00","guid":{"rendered":"https:\/\/www.questionpro.com\/blog\/uyarlanabilir-konjoint-analizi-nedir-turleri-ve-kullanici-durumlari\/"},"modified":"2025-08-21T00:22:19","modified_gmt":"2025-08-21T07:22:19","slug":"uyarlanabilir-konjoint-analizi-nedir-turleri-ve-kullanici-durumlari","status":"publish","type":"post","link":"https:\/\/www.questionpro.com\/blog\/tr\/uyarlanabilir-konjoint-analizi-nedir-turleri-ve-kullanici-durumlari\/","title":{"rendered":"Uyarlanabilir Konjoint Analizi: Nedir, T\u00fcrleri ve Kullan\u0131c\u0131 Durumlar\u0131"},"content":{"rendered":"\n<p>Adaptif konjoint analizi (ACA) web \u00fczerinden veya web&#8217;e ba\u011fl\u0131 olmayan bilgisayarlardan (CAPI modu) veri toplamak i\u00e7in kullan\u0131labilir. \u00dcr\u00fcn \u00f6zelliklerine y\u00f6nelik t\u00fcketici tercihlerini \u00f6l\u00e7mek i\u00e7in kullan\u0131lan bir t\u00fcr <a href=\"https:\/\/www.questionpro.com\/blog\/tr\/konjoint-analizi-tanim-ornek-turler-ve-model\/\">konjoint analizidir<\/a>. &#8220;Uyarlanabilir&#8221; terimi, her bir kat\u0131l\u0131mc\u0131n\u0131n bilgisayar taraf\u0131ndan y\u00f6netilen m\u00fclakat\u0131n\u0131n \u00f6zelle\u015ftirildi\u011fi anlam\u0131na gelmektedir.<\/p>\n\n\n\n<p>ACA, geleneksel konjoint analizinden daha do\u011fru ve g\u00fc\u00e7l\u00fcd\u00fcr \u00e7\u00fcnk\u00fc anket sorular\u0131n\u0131 yan\u0131tlarken her kat\u0131l\u0131mc\u0131n\u0131n bireysel tercihlerine uyum sa\u011flar. Bu da ACA&#8217;n\u0131n insanlar\u0131n neleri sat\u0131n ald\u0131\u011f\u0131 hakk\u0131nda daha do\u011fru bilgiler verebilece\u011fi ve i\u015fletmelerin daha iyi pazarlama planlar\u0131 ve \u00fcr\u00fcn tasar\u0131mlar\u0131 yapmalar\u0131na yard\u0131mc\u0131 olabilece\u011fi anlam\u0131na geliyor.<\/p>\n\n\n\n<p>ACA, \u00f6zellikle dikkate al\u0131nmas\u0131 gereken \u00e7ok say\u0131da olas\u0131 \u00fcr\u00fcn \u00f6zelli\u011fi veya niteli\u011fi oldu\u011funda faydal\u0131d\u0131r \u00e7\u00fcnk\u00fc ara\u015ft\u0131rmac\u0131lar\u0131n farkl\u0131 pazar b\u00f6l\u00fcmleri i\u00e7in hangi \u00f6zelliklerin en \u00f6nemli oldu\u011funu belirlemelerine yard\u0131mc\u0131 olur.<\/p>\n\n\n\n<p>Uyarlanabilir konjoint analizi, m\u00fc\u015fterileri hakk\u0131nda daha fazla bilgi edinmek ve s\u00fcrekli de\u011fi\u015fen bir pazarda rekabette bir ad\u0131m \u00f6nde olmak isteyen t\u00fcm i\u015fletmeler i\u00e7in faydal\u0131 bir ara\u00e7t\u0131r.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Uyarlanabilir konjoint analizi nedir?  <\/h2>\n\n\n\n<p>Uyarlanabilir konjoint analizi (ACA), t\u00fcketicilerin hangi \u00fcr\u00fcn \u00f6zelliklerini en \u00e7ok sevdi\u011fini belirlemek i\u00e7in kullan\u0131lan bir pazar ara\u015ft\u0131rmas\u0131 y\u00f6ntemidir. Her bir ki\u015finin tercihlerini dikkate almak i\u00e7in anket sorular\u0131n\u0131 yan\u0131tlad\u0131k\u00e7a de\u011fi\u015fen bir t\u00fcr konjoint analizidir.<\/p>\n\n\n\n<p>Tipik bir YAA \u00e7al\u0131\u015fmas\u0131nda, kat\u0131l\u0131mc\u0131lara farkl\u0131 \u00f6zelliklere veya niteliklere (\u00f6rne\u011fin, fiyat, renk, boyut, vb.) sahip \u00fcr\u00fcn profillerinin bir listesi verilir. Anket daha sonra kat\u0131l\u0131mc\u0131lardan her bir setten favori se\u00e7eneklerini se\u00e7melerini ister ve \u00f6nceki yan\u0131tlar\u0131na dayanarak yeni \u00fcr\u00fcn profilleri olu\u015fturur.  <\/p>\n\n\n\n<p>Ara\u015ft\u0131rmac\u0131lar, kat\u0131l\u0131mc\u0131lar\u0131n se\u00e7imlerine bakarak farkl\u0131 \u00fcr\u00fcn \u00f6zelliklerinin g\u00f6receli \u00f6nemini ve t\u00fcketicilerin bunlar aras\u0131nda yapmaya istekli olduklar\u0131 \u00f6d\u00fcnle\u015fmeleri belirleyebilirler.<\/p>\n\n\n\n<p>Dikkate al\u0131nmas\u0131 gereken \u00e7ok say\u0131da olas\u0131 \u00fcr\u00fcn \u00f6zelli\u011fi veya niteli\u011fi oldu\u011funda, YAA \u00f6zellikle yararl\u0131d\u0131r \u00e7\u00fcnk\u00fc ara\u015ft\u0131rmac\u0131lar\u0131n farkl\u0131 pazar b\u00f6l\u00fcmleri i\u00e7in hangi \u00f6zelliklerin en \u00f6nemli oldu\u011funu anlamalar\u0131n\u0131 sa\u011flar. \u0130nsanlar\u0131n nas\u0131l hareket etti\u011fini anlamak i\u00e7in g\u00fc\u00e7l\u00fc bir ara\u00e7t\u0131r ve i\u015fletmelerin daha iyi pazarlama planlar\u0131 ve \u00fcr\u00fcn tasar\u0131mlar\u0131 yapmas\u0131na yard\u0131mc\u0131 olabilir.<\/p>\n\n\n\n<p>Uyarlanabilir konjoint analizi (ACA), son birka\u00e7 y\u0131ld\u0131r giderek daha pop\u00fcler hale gelen sofistike bir pazar ara\u015ft\u0131rmas\u0131 y\u00f6ntemidir.  <\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Uyarlanabilir konjoint analizinin kullan\u0131labilirli\u011fi<\/h2>\n\n\n\n<p>Uyarlanabilir konjoint analizi (ACA), son birka\u00e7 y\u0131ld\u0131r giderek daha pop\u00fcler hale gelen sofistike bir pazar ara\u015ft\u0131rmas\u0131 y\u00f6ntemidir. Bu analizin her ad\u0131m\u0131nda, kat\u0131l\u0131mc\u0131n\u0131n tercihleri hakk\u0131nda m\u00fcmk\u00fcn oldu\u011funca fazla bilgi edinmek amac\u0131yla bir sonraki sorunun ne olaca\u011f\u0131na karar vermek i\u00e7in \u00f6nceki yan\u0131tlar kullan\u0131l\u0131r.<\/p>\n\n\n\n<p>ACA&#8217;n\u0131n iki \u00f6nemli \u00f6zelli\u011fi vard\u0131r:  <\/p>\n\n\n\n<ol>\n<li>\u0130lk olarak, ara\u015ft\u0131rmac\u0131n\u0131n bilgisayar etkile\u015fimli bir m\u00fclakat tasarlamas\u0131na ve bunu kat\u0131l\u0131mc\u0131lara vermesine olanak tan\u0131r.<\/li>\n<\/ol>\n\n\n\n<p>G\u00f6r\u00fc\u015fme s\u0131ras\u0131nda, kat\u0131l\u0131mc\u0131n\u0131n kendisi i\u00e7in en \u00f6nemli oldu\u011funu s\u00f6yledi\u011fi \u015feylere ve seviyelere odaklanabilirsiniz. Sorgulama &#8220;ak\u0131ll\u0131&#8221; bir \u015fekilde yap\u0131l\u0131r. G\u00f6r\u00fc\u015fme devam ettik\u00e7e kat\u0131l\u0131mc\u0131n\u0131n hizmetleri s\u00fcrekli olarak yeniden tahmin edilir. Her bir soru, kat\u0131l\u0131mc\u0131n\u0131n de\u011ferleri hakk\u0131nda halihaz\u0131rda bilinenler g\u00f6z \u00f6n\u00fcne al\u0131nd\u0131\u011f\u0131nda en fazla ek bilgiyi sa\u011flayacak \u015fekilde se\u00e7ilmi\u015ftir. G\u00f6r\u00fc\u015fme tamamland\u0131\u011f\u0131nda kat\u0131l\u0131mc\u0131 yard\u0131mc\u0131 programlar\u0131 mevcut olacakt\u0131r.<\/p>\n\n\n\n<ol start=\"2\">\n<li>\u0130kinci olarak, ACA ara\u015ft\u0131rmac\u0131lar\u0131n kat\u0131l\u0131mc\u0131lar\u0131n yeni veya de\u011fi\u015ftirilmi\u015f \u00fcr\u00fcnlere y\u00f6nelik tercihlerini sim\u00fcle etmelerini sa\u011flar.  <\/li>\n<\/ol>\n\n\n\n<p>ACA sim\u00fclat\u00f6r\u00fc, fiyatland\u0131rma, \u00fcr\u00fcn form\u00fclasyonu veya pazarlama faaliyetlerindeki de\u011fi\u015fiklikler gibi &#8220;what-if&#8221; senaryolar\u0131n\u0131 ara\u015ft\u0131rmak i\u00e7in kullan\u0131labilir. Ara\u015ft\u0131rmac\u0131, her bir \u00fcr\u00fcn\u00fcn her bir \u00f6zellikteki seviyesini tan\u0131mlayarak, bir grup uydurma \u00fcr\u00fcn\u00fc tan\u0131mlamaktad\u0131r. Kat\u0131l\u0131mc\u0131 ara\u00e7lar\u0131, her bir \u00fcr\u00fcn i\u00e7in tercih veya sat\u0131n alma olas\u0131l\u0131klar\u0131n\u0131n g\u00fc\u00e7lerini tahmin eder. Sonu\u00e7lar, her bir \u00fcr\u00fcn i\u00e7in tercih paylar\u0131n\u0131 veya ortalama tahmini sat\u0131n alma olas\u0131l\u0131klar\u0131n\u0131 vermek \u00fczere t\u00fcm kat\u0131l\u0131mc\u0131lar \u00fczerinden ortalan\u0131r.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Uyarlanabilir konjoint analizi t\u00fcrleri  <\/h2>\n\n\n\n<p>Uyarlanabilir konjoint analiz tekniklerinin bir\u00e7ok t\u00fcr\u00fc vard\u0131r. Kullan\u0131lan teknik, ara\u015ft\u0131rma hedeflerine, incelenen \u00fcr\u00fcn\u00fcn t\u00fcr\u00fcne ve ara\u015ft\u0131rman\u0131n oda\u011f\u0131nda yer alacak ki\u015filerin \u00f6zelliklerine ba\u011fl\u0131 olacakt\u0131r.  <\/p>\n\n\n\n<p>Bunlar, \u015fu anda mevcut olan farkl\u0131 t\u00fcrdeki uyarlanabilir konjoint analiz tekniklerinden sadece birka\u00e7 \u00f6rnektir:<a href=\"https:\/\/drive.google.com\/file\/d\/1A7VFIr0oBtzYN2aqwnOOfQP0W68ceq5i\/view?usp=sharing\"><\/a><\/p>\n\n\n\n<ul>\n<li>Uyarlanabilir Se\u00e7im Tabanl\u0131 Konjoint (ACBC):  <\/li>\n<\/ul>\n\n\n\n<p>ACBC, insanlara bir dizi evet\/hay\u0131r se\u00e7ene\u011fi sunarak \u00fcr\u00fcn \u00f6zelliklerine ili\u015fkin tercihlerini soran bir ACA t\u00fcr\u00fcd\u00fcr. Kat\u0131l\u0131mc\u0131lara \u00fcr\u00fcn profillerinden olu\u015fan bir liste verilmi\u015f ve her gruptan en be\u011fendiklerini se\u00e7meleri istenmi\u015ftir. Anket, her bir ki\u015finin verdi\u011fi cevaba g\u00f6re de\u011fi\u015fir ve onlara \u00f6nceki se\u00e7imlerine g\u00f6re yeni \u00fcr\u00fcn profilleri g\u00f6sterir.<\/p>\n\n\n\n<ul>\n<li>Uyarlanabilir Kendini A\u00e7\u0131klayan Konjoint (ASEC):  <\/li>\n<\/ul>\n\n\n\n<p>ASEC, \u00fcr\u00fcn \u00f6zelliklerine y\u00f6nelik tercihleri ortaya \u00e7\u0131karmak i\u00e7in bir dizi derecelendirme \u00f6l\u00e7e\u011fi kullanan bir ACA t\u00fcr\u00fcd\u00fcr. Kat\u0131l\u0131mc\u0131lara \u00fcr\u00fcn a\u00e7\u0131klamalar\u0131n\u0131n bir listesi verilmi\u015f ve her birini ne kadar be\u011fendiklerini 0 ile 100 aras\u0131nda bir \u00f6l\u00e7ek kullanarak derecelendirmeleri istenmi\u015ftir. Anket, her kat\u0131l\u0131mc\u0131n\u0131n daha \u00f6nce nas\u0131l yan\u0131t verdi\u011fine ba\u011fl\u0131 olarak de\u011fi\u015fir ve onlara ge\u00e7mi\u015fte \u00fcr\u00fcnleri nas\u0131l de\u011ferlendirdiklerine ba\u011fl\u0131 olarak yeni \u00fcr\u00fcn profilleri g\u00f6sterir.<\/p>\n\n\n\n<ul>\n<li>Birey D\u00fczeyinde Heterojenlik ve Uyarlanabilir Konjoint Analizi:<\/li>\n<\/ul>\n\n\n\n<p>ACAIH, bireysel d\u00fczeydeki tercihleri dikkate alan bir ACA t\u00fcr\u00fcd\u00fcr. Kat\u0131l\u0131mc\u0131lar\u0131n \u00fcr\u00fcn \u00f6zellikleri i\u00e7in tercih a\u011f\u0131rl\u0131klar\u0131n\u0131 tahmin etmek ve yeni \u00fcr\u00fcn profilleri i\u00e7in tercihlerini tahmin etmek i\u00e7in hiyerar\u015fik bir Bayesian modeli kullan\u0131r.<\/p>\n\n\n\n<ul>\n<li>Uyarlanabilir Men\u00fc Tabanl\u0131 Se\u00e7im (AMBC):  <\/li>\n<\/ul>\n\n\n\n<p>AMBC, kat\u0131l\u0131mc\u0131lara \u00fcr\u00fcn se\u00e7eneklerinin bir listesinin verildi\u011fi ve en be\u011fendiklerini se\u00e7melerinin istendi\u011fi bir ACA t\u00fcr\u00fcd\u00fcr. Anket, kat\u0131l\u0131mc\u0131lar\u0131n ge\u00e7mi\u015fte se\u00e7tiklerine g\u00f6re de\u011fi\u015ferek onlara yeni men\u00fc se\u00e7enekleri sunar.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Uyarlanabilir konjoint analizinin kullan\u0131c\u0131 \u00f6rne\u011fi<\/h2>\n\n\n\n<p>Uyarlanabilir konjoint analizi (ACA), sa\u011fl\u0131k ara\u015ft\u0131rmalar\u0131 alan\u0131nda hastalar\u0131n farkl\u0131 tedavi se\u00e7enekleri hakk\u0131nda nas\u0131l hissettiklerini bulmak i\u00e7in kullan\u0131labilir.<\/p>\n\n\n\n<p>\u00d6rne\u011fin, ara\u015ft\u0131rmac\u0131lar ACA&#8217;y\u0131 insanlar\u0131n kanser gibi belirli bir t\u0131bbi durum i\u00e7in nas\u0131l tedavi edilmek istediklerini incelemek i\u00e7in kullanabilirler. \u00c7al\u0131\u015fma, hastalara yan etkiler, ba\u015far\u0131 oranlar\u0131 ve maliyet gibi konularda farkl\u0131l\u0131k g\u00f6steren bir dizi farkl\u0131 tedavi se\u00e7ene\u011fi sunmay\u0131 i\u00e7erebilir.<\/p>\n\n\n\n<p>Hastalar kararlar\u0131n\u0131 verdik\u00e7e, anket tercihlerine uyacak \u015fekilde de\u011fi\u015fir ve daha \u00f6nce s\u00f6ylediklerine dayanarak onlara yeni tedavi se\u00e7enekleri g\u00f6sterir. Ara\u015ft\u0131rmac\u0131lar, hastalar\u0131n se\u00e7imlerine bakarak tedavinin her bir y\u00f6n\u00fcn\u00fcn ne kadar \u00f6nemli oldu\u011funu ve hastalar\u0131n bir di\u011feri kar\u015f\u0131l\u0131\u011f\u0131nda nelerden vazge\u00e7meye istekli olduklar\u0131n\u0131 belirleyebilirler.<\/p>\n\n\n\n<p>Uygun Bak\u0131m Yasas\u0131 (ACA), hastalar\u0131n ne istedi\u011fini ve sa\u011fl\u0131k hizmetlerinin verili\u015f \u015feklinin nas\u0131l iyile\u015ftirilece\u011fini \u00f6\u011frenmek i\u00e7in harika bir yol olabilir. ACA \u00e7al\u0131\u015fmas\u0131n\u0131n sonu\u00e7lar\u0131, sa\u011fl\u0131k hizmeti sa\u011flay\u0131c\u0131lar\u0131n\u0131n ve politika yap\u0131c\u0131lar\u0131n hastalar\u0131n isteklerine uygun tedavi se\u00e7enekleri ve hastalar\u0131n daha iyi olmalar\u0131na yard\u0131mc\u0131 olacak politikalar geli\u015ftirmelerine yard\u0131mc\u0131 olabilir. ACA, hastane olanaklar\u0131, doktor ileti\u015fim tarzlar\u0131 ve randevu planlama se\u00e7enekleri gibi sa\u011fl\u0131k hizmetlerine y\u00f6nelik tercihleri incelemek i\u00e7in de kullan\u0131labilir.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">QuestionPro Anket Yaz\u0131l\u0131m\u0131 uyarlanabilir konjoint analizine nas\u0131l yard\u0131mc\u0131 olabilir?<\/h2>\n\n\n\n<p>Ara\u015ft\u0131rmac\u0131lar, QuestionPro Anket Yaz\u0131l\u0131m\u0131n\u0131n sa\u011flad\u0131\u011f\u0131 \u00f6zellikler sayesinde uyarlanabilir konjoint analizi (ACA) \u00e7al\u0131\u015fmalar\u0131n\u0131 daha etkin bir \u015fekilde y\u00fcr\u00fctebilirler.<\/p>\n\n\n\n<ol>\n<li>\u0130lk olarak, QuestionPro&#8217;nun konjoint analiz arac\u0131, ara\u015ft\u0131rmac\u0131lar\u0131n birden fazla nitelik ve seviyeye sahip \u00fcr\u00fcn profilleri olu\u015fturmas\u0131na ve ard\u0131ndan bunlar\u0131 rastgele ve dengeli bir \u015fekilde kat\u0131l\u0131mc\u0131lara sunmas\u0131na olanak tan\u0131r. Bu, kat\u0131l\u0131mc\u0131lar\u0131n \u00e7ok \u00e7e\u015fitli \u00fcr\u00fcn \u00f6zellikleri ve nitelik kombinasyonlar\u0131 g\u00f6rmesini sa\u011flar; bu da t\u00fcketicilerin ne istedi\u011fine dair do\u011fru bir resim elde etmek i\u00e7in \u00f6nemlidir.<\/li>\n\n\n\n<li>\u0130kinci olarak, QuestionPro&#8217;nun uyarlanabilir konjoint analizi (ACA) arac\u0131, ara\u015ft\u0131rmac\u0131lar\u0131n \u00f6nceki yan\u0131tlar\u0131na g\u00f6re yeni \u00fcr\u00fcn profilleri sunarak anketi her bir kat\u0131l\u0131mc\u0131n\u0131n tercihlerine g\u00f6re uyarlamas\u0131na olanak tan\u0131r. Bu, anketin her bir kat\u0131l\u0131mc\u0131n\u0131n tercihlerine g\u00f6re uyarlanmas\u0131n\u0131 sa\u011flayarak daha do\u011fru ve faydal\u0131 bilgiler verir.<\/li>\n\n\n\n<li>\u00dc\u00e7\u00fcnc\u00fcs\u00fc, QuestionPro, ara\u015ft\u0131rmac\u0131lar\u0131n ACA \u00e7al\u0131\u015fmalar\u0131ndan elde edilen verileri analiz etmelerine ve ayr\u0131nt\u0131l\u0131 raporlar ve g\u00f6rselle\u015ftirmeler yapmalar\u0131na olanak tan\u0131yan geli\u015fmi\u015f analitik ve raporlama \u00f6zelliklerine sahiptir. Bu, en \u00f6nemli \u00fcr\u00fcn \u00f6zelliklerinin ve nitelik d\u00fczeylerinin ve t\u00fcketicilerin bunlar aras\u0131nda yapmaya istekli olduklar\u0131 \u00f6d\u00fcnle\u015fimlerin belirlenmesini kolayla\u015ft\u0131r\u0131r.<\/li>\n<\/ol>\n\n\n\n<p>QuestionPro Anket Yaz\u0131l\u0131m\u0131, uyarlanabilir konjoint analizi \u00e7al\u0131\u015fmalar\u0131 yapmak i\u00e7in g\u00fc\u00e7l\u00fc bir ara\u00e7t\u0131r ve ara\u015ft\u0131rmac\u0131lar\u0131n insanlar\u0131n yapt\u0131klar\u0131 se\u00e7imleri nas\u0131l ve neden yapt\u0131klar\u0131 hakk\u0131nda daha fazla bilgi edinmelerine yard\u0131mc\u0131 olabilir. \u015eimdi QuestionPro&#8217;ya kaydolun ve arad\u0131\u011f\u0131n\u0131z \u00f6zellikler ve \u00e7ok daha fazlas\u0131 hakk\u0131nda daha fazla bilgi edinin.  <\/p>\n\n\n\n<p><p><\/p><p style=\"text-align: center;\"><a href=\"https:\/\/www.questionpro.com\/research-edition-survey-software\/\" target=\"_blank\" rel=\"noopener\">\n  <button>DAHA FAZLA BI\u0307LGI\u0307 EDI\u0307NI\u0307N<\/button>\n<\/a>       <a href=\"https:\/\/www.questionpro.com\/a\/showEntry.do?classID=1053&amp;sourceRef=blog\" target=\"_blank\" rel=\"noopener\">\n  <button>\u00dcCRETS\u0130Z DENEME<\/button>\n<\/a><\/p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Adaptif konjoint analizi (ACA) web \u00fczerinden veya web&#8217;e ba\u011fl\u0131 olmayan bilgisayarlardan (CAPI modu) veri toplamak i\u00e7in kullan\u0131labilir. \u00dcr\u00fcn \u00f6zelliklerine y\u00f6nelik [&hellip;]<\/p>\n","protected":false},"author":80,"featured_media":783703,"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":[1114],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO 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