\u00d6rne\u011fin, belirli \u00fcniversite giri\u015f s\u0131navlar\u0131n\u0131n \u00f6\u011frencilerin birinci d\u00f6nem not ortalamas\u0131n\u0131 ne kadar iyi tahmin edebildi\u011fini bilmek isteyebiliriz.<\/span><\/p>\n Giri\u015f s\u0131nav\u0131 a\u00e7\u0131klay\u0131c\u0131 de\u011fi\u015fken, kriter de\u011fi\u015fken ise birinci d\u00f6nem genel not ortalamas\u0131 olacakt\u0131r.<\/span> <\/p>\n Bu \u00f6zel a\u00e7\u0131klay\u0131c\u0131 de\u011fi\u015fkenin, kriter de\u011fi\u015fkenini tahmin etme arac\u0131 olarak kullan\u0131lmas\u0131n\u0131n ge\u00e7erli<\/em> olup olmad\u0131\u011f\u0131n\u0131 bilmek istiyoruz. Ge\u00e7erli ise \u00f6l\u00e7\u00fct ge\u00e7erlili\u011finin<\/a> var oldu\u011funu s\u00f6yleriz.<\/span><\/p>\n \u0130ki t\u00fcr kriter ge\u00e7erlili\u011fi vard\u0131r:<\/span><\/p>\n 1. Tahmin ge\u00e7erlili\u011fi<\/strong> \u2013 Bu bize, gelecekte ba\u015fka bir de\u011fi\u015fkenin de\u011ferini tahmin etmek i\u00e7in bir de\u011fi\u015fkenin de\u011ferini kullanman\u0131n ge\u00e7erli olup olmad\u0131\u011f\u0131n\u0131 s\u00f6yler.<\/span> <\/p>\n 2. E\u015fzamanl\u0131 ge\u00e7erlilik<\/strong> \u2013 Bu bize, e\u015f<\/em> zamanl\u0131 (yani ayn\u0131 anda) \u00f6l\u00e7\u00fclen ba\u015fka bir de\u011fi\u015fkenin de\u011ferini tahmin etmek i\u00e7in bir de\u011fi\u015fkenin de\u011ferini kullanman\u0131n ge\u00e7erli olup olmad\u0131\u011f\u0131n\u0131 s\u00f6yler.<\/span><\/p>\n \u00d6rne\u011fin bir \u015firket, test sonu\u00e7lar\u0131n\u0131n \u00e7al\u0131\u015fanlar\u0131n mevcut \u00fcretkenlik d\u00fczeyleriyle ili\u015fkili olup olmad\u0131\u011f\u0131n\u0131 g\u00f6rmek i\u00e7in belirli bir test t\u00fcr\u00fc uygulayabilir.<\/span> <\/p>\n Bu yakla\u015f\u0131m\u0131n avantaj\u0131, ilgilenilen de\u011fi\u015fken kriter \u00fczerinde \u00f6l\u00e7\u00fcm yapmak i\u00e7in gelecekte bir s\u00fcre beklememize gerek olmamas\u0131d\u0131r.<\/span><\/p>\n Tipik olarak her iki ge\u00e7erlilik t\u00fcr\u00fcn\u00fc de -1 ile 1 aras\u0131nda bir de\u011fer alan Pearson korelasyon katsay\u0131s\u0131n\u0131<\/a> kullanarak \u00f6l\u00e7t\u00fc\u011f\u00fcm\u00fcz\u00fc unutmay\u0131n; burada:<\/span><\/p>\n Korelasyon katsay\u0131s\u0131 s\u0131f\u0131rdan ne kadar uzaksa, iki de\u011fi\u015fken aras\u0131ndaki ili\u015fki o kadar g\u00fc\u00e7l\u00fcd\u00fcr.<\/span><\/p>\n A\u015fa\u011f\u0131daki \u00f6rnekler, bir a\u00e7\u0131klay\u0131c\u0131 de\u011fi\u015fkenin, bir \u00f6l\u00e7\u00fct de\u011fi\u015fkeninin de\u011ferini tahmin etmek i\u00e7in kullan\u0131l\u0131p kullan\u0131lamayaca\u011f\u0131n\u0131 belirlemek amac\u0131yla e\u015f zamanl\u0131 ge\u00e7erlili\u011fi kullanabilece\u011fimiz di\u011fer senaryolar\u0131 g\u00f6stermektedir.<\/span><\/p>\n \u00d6rnek 1: bir bilgi testi<\/strong><\/span><\/p>\n Bir ara\u015ft\u0131rmac\u0131, \u00f6\u011frencilerin biyoloji bilgilerini de\u011ferlendirmek i\u00e7in tasarlanm\u0131\u015f yeni bir test olu\u015fturur.<\/span><\/p>\n Ara\u015ft\u0131rmac\u0131 testi belirli bir \u00fcniversitedeki t\u00fcm biyoloji \u00f6\u011frencilerine da\u011f\u0131t\u0131r ve test sonu\u00e7lar\u0131n\u0131 mevcut genel not ortalamalar\u0131yla kar\u015f\u0131la\u015ft\u0131r\u0131r.<\/span><\/p>\n Bir ki\u015finin s\u0131nav puanlar\u0131 ile \u00f6\u011frencinin mevcut genel not ortalamas\u0131 aras\u0131nda g\u00fc\u00e7l\u00fc bir korelasyon varsa<\/span> e\u015f zamanl\u0131 ge\u00e7erlilik oldu\u011funu s\u00f6yleyebiliriz.<\/span> <\/p>\n \u00d6rnek 2: dayan\u0131kl\u0131l\u0131k testi<\/strong><\/span><\/p>\n Bir atletik antren\u00f6r, sporcular\u0131n\u0131n dayan\u0131kl\u0131l\u0131k seviyelerini de\u011ferlendirmek i\u00e7in tasarlanm\u0131\u015f yeni bir dayan\u0131kl\u0131l\u0131k m\u00fccadelesi yarat\u0131r. Sporcular\u0131n\u0131n her birinin m\u00fccadeleye girmesine izin veriyor ve puanlar\u0131n\u0131 mevcut performans seviyeleriyle kar\u015f\u0131la\u015ft\u0131r\u0131yor.<\/span><\/p>\n Dayan\u0131kl\u0131l\u0131k m\u00fccadelesi ile mevcut performans seviyeleri aras\u0131nda g\u00fc\u00e7l\u00fc bir korelasyon varsa, e\u015fzamanl\u0131 ge\u00e7erlili\u011fin oldu\u011fu iddia edilebilir.<\/span><\/p>\n Ba\u015fka bir deyi\u015fle dayan\u0131kl\u0131l\u0131k m\u00fccadelesinin sporcular\u0131n performans d\u00fczeylerini de\u011ferlendirmek i\u00e7in kullan\u0131lmas\u0131 ge\u00e7erli olacakt\u0131r.<\/span> <\/p>\n \u00d6rnek 3: Bir liderlik testi<\/strong><\/span><\/p>\n Bir i\u015fletme y\u00f6neticisi, bir \u015firket \u00e7al\u0131\u015fanlar\u0131n\u0131n liderlik yeteneklerini de\u011ferlendirmek i\u00e7in yeni bir test olu\u015fturur. Testi \u015firketteki her \u00e7al\u0131\u015fana da\u011f\u0131t\u0131yor ve puanlar\u0131n\u0131 mevcut hakemli liderlik seviyeleriyle kar\u015f\u0131la\u015ft\u0131r\u0131yor.<\/span><\/p>\n Test ile mevcut akran de\u011ferlendirmeli liderlik seviyeleri aras\u0131nda g\u00fc\u00e7l\u00fc bir korelasyon varsa, o zaman e\u015f zamanl\u0131 bir ge\u00e7erlilik oldu\u011funu iddia edebilir.<\/span><\/p>\n Ba\u015fka bir deyi\u015fle testin \u015firketteki farkl\u0131 \u00e7al\u0131\u015fanlar\u0131n liderlik seviyelerini de\u011ferlendirmek i\u00e7in kullan\u0131lmas\u0131 ge\u00e7erli olacakt\u0131r.<\/span> <\/p>\n A\u00e7\u0131klay\u0131c\u0131 de\u011fi\u015fkenler ve yan\u0131t de\u011fi\u015fkenleri<\/a> \u0130statistikte genellikle a\u00e7\u0131klay\u0131c\u0131 bir de\u011fi\u015fkenin de\u011ferinin bir yan\u0131t de\u011fi\u015fkeninin de\u011ferini tahmin edip edemeyece\u011fini anlamak isteriz. Bu yan\u0131t de\u011fi\u015fkenine bazen kriter de\u011fi\u015fkeni ad\u0131 verilir. \u00d6rne\u011fin, belirli \u00fcniversite giri\u015f s\u0131navlar\u0131n\u0131n \u00f6\u011frencilerin birinci d\u00f6nem not ortalamas\u0131n\u0131 ne kadar iyi tahmin edebildi\u011fini bilmek isteyebiliriz. Giri\u015f s\u0131nav\u0131 a\u00e7\u0131klay\u0131c\u0131 de\u011fi\u015fken, kriter de\u011fi\u015fken ise birinci d\u00f6nem genel not ortalamas\u0131 olacakt\u0131r. Bu \u00f6zel […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11],"tags":[],"class_list":["post-1480","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\n![\"Kriterlerin](\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/criterevalidite1.png\")
<\/p>\n![\"\"](\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/criterevalidite2.png\")
<\/p>\n![\"\"](\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/criterevalidite3.png\")
<\/p>\n\n
E\u015fzamanl\u0131 Ge\u00e7erlilik \u00d6rnekleri<\/strong><\/span><\/h3>\n
![\"E\u015fzamanl\u0131](\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/concurrent1.png\")
<\/p>\n![\"\"](\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/concurrent2.png\")
<\/p>\n![\"E\u015fzamanl\u0131](\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/concurrent3.png\")
<\/p>\n Ek kaynaklar<\/strong><\/span><\/h3>\n
Kriter de\u011fi\u015fkeni nedir?<\/a>
Kriter ge\u00e7erlili\u011fi nedir?<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"