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“Logistic Regression” için 10 makale

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Examining the Effective Variables on Classification of School's Success through PISA 2012 Turkey Data

Yesim ÖZER ÖZKAN

iojesCilt 2016/8, Sayı 2-legacy-3311

Bu araştırmanın amacı “yetenek gruplarına ayırma”, “okulda öğrencilere sunulan extra etkinlikler”, “okul fiziksel kaynaklarının kalitesi”, “eğitimsel kaynakların kalitesi”, “öğretmen başına düşen öğrenci sayısı”, “öğretim faaliyetlerini aksatan öğrenci ve öğretmen ile ilişkili değişkenler”, “öğretmen katılımı” ve “sınıf ve okul büyüklüğü” değişkenlerinin …

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A Comparison of Logistic Regression Models for DIF Detection in Polytomous Items: The Effect of Small Sample Sizes and Non-Normality of Ability Distributions

Yasemin Kaya, Walter L. Leite, M. David Miller

International Journal of Assessment Tools in EducationCilt 2015/2-legacy-1189, Sayı 1

This study investigated the effectiveness of logistic regression models to detect uniform and non-uniform DIF in polytomous items across small sample sizes and non-normality of ability distributions. A simulation study was used to compare three logistic regression models, which were …

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Gender Differential Item Functioning on a National Field-specific Test: The Case of PhD Entrance Exam of TEFL in Iran

Alireza Ahmadi, Ali Darabi Bazvand

Iranian Journal of Language Teaching Research (IJLTR)Cilt 2016/4, Sayı 1

Differential Item Functioning (DIF) exists when examinees of equal ability from different groups have different probabilities of successful performance in a certain item. This study examined gender differential item functioning across the PhD Entrance Exam of TEFL (PEET) in Iran, …

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Yükseköğretimde Öğrenci Başarılarının Sınıflandırılmasında Yapay Sinir Ağları ve Lojistik Regresyon Yöntemlerinin Kullanılması

Gülçin Çirak, Ömay Çokluk

Akdeniz İnsani Bilimler Dergisi/Mediterranean Journal of HumanitiesCilt 2013/2, Sayı 2

In this study, according to the results of the survey conducted by the researcher entitled "Variables Which Affect the Success of University Students” artificial neural networks and logistic regression methods’ performances were compared to indicate the estimated future success of …

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