2015
DOI: 10.16986/huje.2015014136
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Kavram Haritası Puanlarının Güvenirliğinin İncelenmesi: Genellenebilirlik Kuramında Çaprazlanmış Karışık Desen Örneği

Abstract: ÖZ:Bu çalışmada ölçme ve değerlendirme dersinin "Ölçme ve Değerlendirmeyle İlgili Temel Kavramlar" konusunu ölçen iki farklı doldurma kavram haritası tekniğinin genellenebilirlik kuramı ile elde edilen parametreleri araştırılmıştır. Araştırma verileri, 2012Araştırma verileri, -2013 Öğretim Yılı'nda Sakarya Üniversitesi Psikolojik Danışmanlık ve Rehberlik Bölümü 3. sınıfta okuyan 49'u (%53,8) kız 42'si (%46,2) erkek toplam 91 öğrenciden elde edilmiştir. Çalışmada o (öğrenci) x m (madde) x h (harita) çaprazlanm… Show more

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(2 citation statements)
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“…As it is previously revealed, in generalizability studies, the fact that the rate of the predicted variance for person main effect in the total variance is high, is a wanted case. This displays that differences between persons can be revealed at the dimension obtained with measurement (Brennan, 2001;Kaya Uyanık & Güler, 2016). According to the result obtained in this study, it can be said that the measurement process performed with the open-ended items can greatly show the difference between persons.…”
Section: Findings For Nested Random Design Pxrx (I:t)supporting
confidence: 62%
See 1 more Smart Citation
“…As it is previously revealed, in generalizability studies, the fact that the rate of the predicted variance for person main effect in the total variance is high, is a wanted case. This displays that differences between persons can be revealed at the dimension obtained with measurement (Brennan, 2001;Kaya Uyanık & Güler, 2016). According to the result obtained in this study, it can be said that the measurement process performed with the open-ended items can greatly show the difference between persons.…”
Section: Findings For Nested Random Design Pxrx (I:t)supporting
confidence: 62%
“…When the predicted variance and rates of variances accounted for the total variance as a result of pxrxi crossed random design G study are examined, the variance component (7.44) predicted for the main effect of person (p) explains 66% of the total variance. In generalizability studies, main effect of person is evaluated as universe score variance and states difference between persons in terms of the trait measured (Brennan, 2001;Güler et al, 2012;Kaya Uyanık & Güler, 2016;Shavelson & Webb, 1991). The fact that the rate of the predicted variance for students in the total variance is great is a wanted status.…”
Section: Findings For Crossed Random Design (Pxrxi)mentioning
confidence: 99%