{"id":800428,"date":"2022-07-07T09:00:00","date_gmt":"2022-07-07T09:00:00","guid":{"rendered":"https:\/\/www.questionpro.com\/blog\/eslestirilmis-ornekler\/"},"modified":"2022-07-07T09:00:00","modified_gmt":"2022-07-07T09:00:00","slug":"eslestirilmis-ornekler","status":"publish","type":"post","link":"https:\/\/www.questionpro.com\/blog\/tr\/eslestirilmis-ornekler\/","title":{"rendered":"E\u015fle\u015ftirilmi\u015f \u00d6rneklemler vs Ba\u011f\u0131ms\u0131z \u00d6rneklemler: Farkl\u0131l\u0131klar"},"content":{"rendered":"

Bir yandan, iki gruplu deneyler i\u00e7in tasarlanm\u0131\u015f e\u015fle\u015ftirilmi\u015f \u00f6rnekleri kullanabiliriz (\u00f6rne\u011fin, tedavi etkilerini test etmek). \u00d6te yandan, ba\u011f\u0131ms\u0131z de\u011fi\u015fken mekansal olarak yap\u0131land\u0131r\u0131lm\u0131\u015fsa bunlar\u0131 daha karma\u015f\u0131k yap\u0131larla kullanabiliriz. <\/span>B\u00f6ylece tedaviler, uzay veya zaman i\u00e7inde ilerlerken farkl\u0131 \u00f6zne veya nesne \u00e7iftlerine uygulanabilir. <\/span><\/p>\n

B\u00f6ylece, her veri noktas\u0131n\u0131n benzersiz bir denek tan\u0131mlay\u0131c\u0131s\u0131 ve farkl\u0131 bir denekten gelen ba\u015fka bir g\u00f6zlemle ili\u015fkisi vard\u0131r. <\/span><\/p>\n

E\u015fle\u015ftirilmi\u015f \u00f6rnekler nedir?<\/h2>\n

E\u015fle\u015ftirilmi\u015f \u00f6rnekler, bir tedavinin iki davran\u0131\u015f \u00fczerindeki etkisi gibi iki e\u015fle\u015ftirilmi\u015f de\u011fi\u015fken aras\u0131ndaki farkl\u0131l\u0131klar hakk\u0131nda \u00e7\u0131kar\u0131mlar yapmak i\u00e7in kullan\u0131lan \u00f6rneklerdir. Ayr\u0131ca ara\u015ft\u0131rmac\u0131lar\u0131n bir de\u011fi\u015fkendeki varyasyonun ba\u015fka bir de\u011fi\u015fkendeki varyasyondan kaynaklanan miktar\u0131n\u0131 tahmin etmelerine yard\u0131mc\u0131 olabilirler. <\/span><\/p>\n

E\u015fle\u015ftirilmi\u015f \u00f6rneklem tasar\u0131m\u0131nda, her kat\u0131l\u0131mc\u0131 \u00f6rneklemdeki her bir veri noktas\u0131na (veya \u00e7iftine) birden fazla \u00f6l\u00e7\u00fcmle katk\u0131da bulunur. <\/span><\/p>\n

\u015eimdi e\u015fle\u015ftirilmi\u015f t-testinin rol\u00fcn\u00fc anlaman\u0131n \u00f6neminin \u00fczerinden ge\u00e7elim. Bu istatistiksel test, “\u00f6nce ve sonra” veya “tedavi ve kontrol” gibi bir \u015fekilde e\u015fle\u015ftirilmi\u015f iki de\u011fi\u015fkeni kar\u015f\u0131la\u015ft\u0131r\u0131r.<\/span><\/p>\n

E\u015fle\u015ftirilmi\u015f t-testi i\u00e7in s\u0131f\u0131r hipotezi, e\u015fle\u015ftirilmi\u015f farklar\u0131n ortalamas\u0131n\u0131n pop\u00fclasyonda s\u0131f\u0131ra e\u015fit oldu\u011funu belirtir.<\/span><\/p>\n

Yani, bu testi pop\u00fclasyonunuzdan \u00e7ok say\u0131da \u00f6rnek \u00fczerinde uygulayacak olsayd\u0131n\u0131z, bunlar\u0131n \u00e7o\u011funun ortalama e\u015fle\u015ftirilmi\u015f farklar\u0131n\u0131n s\u0131f\u0131ra yak\u0131n olmas\u0131n\u0131 beklerdiniz. Ba\u015fka bir deyi\u015fle, \u00e7o\u011fu \u00f6rneklemin de\u011ferleri aras\u0131nda k\u00fc\u00e7\u00fck pozitif veya negatif farklar olacakt\u0131r.<\/span><\/p>\n

E\u015fle\u015ftirilmi\u015f t-testi i\u00e7in alternatif hipotez, e\u015fle\u015ftirilmi\u015f farklar\u0131n ortalamas\u0131n\u0131n pop\u00fclasyonda s\u0131f\u0131ra e\u015fit olmad\u0131\u011f\u0131n\u0131 belirtir. Bu, bir etkinin g\u00f6zlemlendi\u011fi anlam\u0131na gelir – bir \u00f6rneklem k\u00fcmesinden di\u011ferine veya bir gruptan di\u011ferine bir \u015fey de\u011fi\u015fmi\u015ftir.<\/span><\/p>\n

E\u011fer p-de\u011feriniz anlaml\u0131l\u0131k d\u00fczeyinizden (\u00f6rne\u011fin 0,05) k\u00fc\u00e7\u00fckse, s\u0131f\u0131r hipotezini reddedebilir ve \u00f6rnekleminizin ortalama e\u015fle\u015ftirilmi\u015f fark\u0131n pop\u00fclasyonda s\u0131f\u0131ra e\u015fit olmad\u0131\u011f\u0131 sonucuna varmak i\u00e7in yeterince g\u00fc\u00e7l\u00fc kan\u0131t sa\u011flad\u0131\u011f\u0131 sonucuna varabilirsiniz.<\/span><\/p>\n

E\u015fle\u015ftirilmi\u015f ve ba\u011f\u0131ms\u0131z \u00f6rnekler aras\u0131ndaki fark nedir?<\/b><\/h2>\n

E\u015fle\u015ftirilmi\u015f \u00f6rneklemlerin aksine, Ba\u011f\u0131ms\u0131z \u00f6rneklemler, her bireyin yaln\u0131zca bir gruba ait oldu\u011fu iki ayr\u0131 pop\u00fclasyonu ili\u015fkisiz olarak de\u011ferlendirir. \u00d6rne\u011fin, y\u00fcksek kolesterol seviyeleri ile sa\u011fl\u0131k sonu\u00e7lar\u0131 aras\u0131ndaki ili\u015fkiyi incelemek isteyen ara\u015ft\u0131rmac\u0131lar, kardiyovask\u00fcler hastal\u0131\u011f\u0131 olan hastalar\u0131 bir tedavi grubuna atayabilir ve kardiyovask\u00fcler hastal\u0131\u011f\u0131 olmayan ancak y\u00fcksek kolesterol seviyelerine sahip olanlarla kar\u015f\u0131la\u015ft\u0131rabilir. <\/span><\/p>\n

Her iki durumda da, her bir denek rastgele bir \u00e7al\u0131\u015fma grubuna ya da kontrol grubuna atan\u0131r ve ard\u0131ndan verileri toplan\u0131r; bu t\u00fcr bir ara\u015ft\u0131rma tasar\u0131m\u0131na “ba\u011f\u0131ms\u0131z \u00f6rneklemler t-testi” denir.<\/span><\/p>\n

DAHA FAZLA BI\u0307LGI\u0307 EDI\u0307NI\u0307N:<\/strong> Pop\u00fclasyon vs \u00d6rneklem<\/a><\/p>\n

Bir \u00f6rne\u011fin e\u015fle\u015ftirilmi\u015f olup olmad\u0131\u011f\u0131n\u0131 nas\u0131l anlars\u0131n\u0131z?<\/h2>\n

\u00d6rne\u011fin, \u00f6\u011frencilerinizin \u00e7al\u0131\u015fma aras\u0131 vermeden \u00f6nceki ve \u00e7al\u0131\u015fma aras\u0131 verdikten sonraki ortalama s\u0131nav puanlar\u0131n\u0131 kar\u015f\u0131la\u015ft\u0131rmak istedi\u011finizi varsayal\u0131m. Bu durumda, iki ko\u015fulu olan bir grubunuz olacakt\u0131r: mola vermeden \u00f6nce ve mola verdikten sonra. E\u015fle\u015ftirilmi\u015f t-testi, bu iki puan grubunu kar\u015f\u0131la\u015ft\u0131rmak i\u00e7in tasarlanm\u0131\u015ft\u0131r.<\/span><\/p>\n

E\u015fle\u015ftirilmemi\u015f bir t-testi ise iki ba\u011f\u0131ms\u0131z grubun veya \u00f6\u011fenin ortalamalar\u0131n\u0131 kar\u015f\u0131la\u015ft\u0131r\u0131r. \u00d6rne\u011fin, erkek ve k\u0131z \u00f6\u011frenciler aras\u0131nda ortalama s\u0131nav puanlar\u0131nda herhangi bir fark olup olmad\u0131\u011f\u0131n\u0131 g\u00f6rmek istedi\u011finizi varsayal\u0131m. Bu durumda, cinsiyetler aras\u0131nda herhangi bir varyans fark\u0131 oldu\u011funu varsaymadan puanlar\u0131n\u0131 kar\u015f\u0131la\u015ft\u0131rmak i\u00e7in e\u015fle\u015ftirilmemi\u015f bir t-testi kullanabilirsiniz.<\/span><\/p>\n

Varyans\u0131n ko\u015fullar aras\u0131nda e\u015fit oldu\u011fu varsay\u0131lmayan e\u015fle\u015ftirilmemi\u015f bir t-testinin aksine, e\u015fle\u015ftirilmi\u015f bir t-testinde varyans\u0131n ko\u015fullar aras\u0131nda e\u015fit oldu\u011fu kabul edilir. <\/span><\/p>\n

E\u015fle\u015ftirilmi\u015f\/ba\u011f\u0131ms\u0131z bir \u00f6rneklemin ne zaman gerekli oldu\u011funu anlamak i\u00e7in a\u015fa\u011f\u0131daki \u00f6rne\u011fi kullanal\u0131m.<\/span><\/p>\n

Sonu\u00e7<\/h2>\n

Ara\u015ft\u0131rmada e\u015fle\u015ftirilmi\u015f \u00f6rnekler toplamak, bir\u00e7ok pazar ara\u015ft\u0131rmas\u0131 t\u00fcr\u00fcnde alt\u0131 sigma iyile\u015ftirmeleri sa\u011flayabilecek, yeterince kullan\u0131lmayan bir tekniktir. Ayr\u0131ca daha iyi i\u015f kararlar\u0131 al\u0131nmas\u0131n\u0131 sa\u011flayacak de\u011ferli i\u00e7g\u00f6r\u00fcler de toplayabilir. Ayr\u0131ca, daha y\u00fcksek d\u00fczeyde istatistiksel verimlilik, daha kar\u015f\u0131la\u015ft\u0131r\u0131labilir yan\u0131tlar ve \u00fcst\u00fcn veri kalitesi \u00fcretecektir. <\/span><\/p>\n

QuestionPro’da, t\u00fcm ara\u015ft\u0131rma ihtiya\u00e7lar\u0131n\u0131z i\u00e7in do\u011fru \u00f6rnekleme tekni\u011finin de\u011ferini anl\u0131yoruz, b\u0131rak\u0131n zor i\u015fi biz yapal\u0131m. <\/span>\u015eimdi \u00dccretsiz Teklif \u0130steyin!<\/span><\/p>\n

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

Bir yandan, iki gruplu deneyler i\u00e7in tasarlanm\u0131\u015f e\u015fle\u015ftirilmi\u015f \u00f6rnekleri kullanabiliriz (\u00f6rne\u011fin, tedavi etkilerini test etmek). \u00d6te yandan, ba\u011f\u0131ms\u0131z de\u011fi\u015fken mekansal […]<\/p>\n","protected":false},"author":67,"featured_media":714747,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_yoast_wpseo_focuskw":"e\u015fle\u015ftirilmi\u015f \u00f6rnekler","_yoast_wpseo_title":"","_yoast_wpseo_metadesc":"E\u015fle\u015ftirilmi\u015f \u00f6rnekler, bir de\u011fi\u015fkendeki varyasyonun ba\u015fka bir de\u011fi\u015fkendeki varyasyondan kaynaklanan miktar\u0131n\u0131 tahmin etmeye yard\u0131mc\u0131 olur. Bu konuda daha fazla bilgi edinin.","_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":"\nE\u015fle\u015ftirilmi\u015f \u00d6rneklemler vs Ba\u011f\u0131ms\u0131z \u00d6rneklemler: Farkl\u0131l\u0131klar | QuestionPro<\/title>\n<meta name=\"description\" content=\"E\u015fle\u015ftirilmi\u015f \u00f6rnekler, bir de\u011fi\u015fkendeki varyasyonun ba\u015fka bir de\u011fi\u015fkendeki varyasyondan kaynaklanan miktar\u0131n\u0131 tahmin etmeye yard\u0131mc\u0131 olur. 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