The items that are suitable for everyone's own ability level with the support of computer programs instead of paper and pencil tests may help students to reach more accurate results. Computer adaptive tests (CAT), which are developed based on certain assumptions in this direction, are to create an optimum test for every person taking the exam. It then becomes essential to examine the development process of such important exams and to monitor what studies have contributed to this development in what year. Citespace is a program developed to map information fields, explain the relationship between different disciplines, examine and estimate the studies in a certain period of time, uncover the latest studies and predict the trend issues that occur according to the analysis of bibliographic records of related publications. In this study, it is aimed to find out what articles about CAT are produced in which areas, at what time periods e and which articles have a significant effect in these periods. CiteSpace program was used to make a document/article co-citation analysis. Articles on CAT between 1946-2016 were scanned by “or” connector. A total of 637 articles were used, the analyses were finalized according to the networks. As a result of the research, clusters were determined based on the relationship in the citations, articles that were the most cited and important among studies on CAT were presented

Bu çalışma bireylerin sosyal beğenirlik düzeylerinin belirlenebilmesine yönelik bir ölçeğin geliştirilmesini amaçlamaktadır. Katılımcılar yaşları 17 ile 45 arasında değişen (Ortyaş=21.33, Ss=2.32) 527’si kadın (%62), 325’i erkek (%38) toplamda 852 öğrenciden oluşmaktadır. Araştırma kapsamında ölçek maddelerinin dil, anlam ve kapsam geçerliği sağlanmış, pilot uygulama ardından formun nihai hali 426 öğrenciye uygulanarak açımlayıcı faktör analizi yapılmıştır. Analiz sonucunda elde edilen faktör yapısının toplam varyansın %52.29’unu açıkladığı belirlenmiştir. Iki faktörlü ve 15 maddeden oluşan yapının doğrulayıcı faktör analizi 426 kişilik farklı bir örnekleme uygulanmış elde edilen sonuçlar faktörlerin yapısal uyum gösterdiğini ortaya koymuştur (χ2/df= 2.50, GFI= .93, CFI= .92, AGFI= .91, RMSEA= .06). Güvenirlik analizi için Cronbach Alpha İç Tutarlılık katsayısından faydalanılmıştır. Analiz sonucunda ölçeğin bütününün ait güvenirlik katsayısı .84, kabul görme alt boyutunun .85 ve dikkat çekme al boyutunun .75 olarak belirlenmiştir. Çalışma sonucunda, ortaya çıkan 15 maddeli ölçeğin bireylerin sosyal beğenirlik düzeylerinin belirlenmesinde kullanılabilecek geçerli ve güvenilir bir ölçme aracı olduğu görülmüştür.

In this study purposes to indicate the effect of the number of DIF items and the distribution of DIF items in these forms, which be equalized on equating error. Mean-mean, mean-standard deviation, Haebara and Stocking-Lord Methods used in common item design equal groups as equalization methods. The study included six different simulation conditions. The conditions were compared according to the number of DIF items and the distribution of DIF items on tests. The results illustrated that adding DIF items to tests were equated caused an increase in the errors obtained by equating methods. We may state that the change in errors is lowest in characteristic curve transformation methods, largest in moment methods depending on the situations in these conditions.

In this study, one-dimensional item response theory models were evaluated using different scaling methods. In this context, the equating errors and the area under the curve of four scaling methods (Stocking-Lord, Heabara, Mean-Sigma, Mean-Mean), and one, two, and three parameters logistic models (1PL, 2PL, and 3PL) in non-equivalent groups with anchor test (NEAT) design were examined. Additionally, the equating errors of the scaling methods and the results obtained from ROC analysis were compared. Qatar's and Australia's PISA 2012 mathematical literacy test data were used in the study. The minimum error was obtained from the Mean-Mean method with the 1PL model, and the maximum error was obtained from the Mean-Mean method with the 3PL model. Similar results were observed in all comparisons and supported each other. It is concluded that ROC analysis can be used to compare different conditions, methods and models.

Bu çalışmada yaratıcılık ve üstün yetenek kavramlarını içeren makaleler sosyal ağ analizi ile incelenmiştir. Bu makalalerin daha çok hangi zaman aralığında yapıldığı ve hangi makalelerin bu zaman aralıklarında önemli bir etkiye sahip olduğu araştırılmıştır. Ortak atıf analizini ve doküman analizini gerçekleştirmek için CiteSpace programı kullnılmıştır. Araştırma sonucunda, atıflar arasındaki ilişkiye göre, üstün yetenek ve yaratıcılık kavramlarıı içeren en çok atıf alan ve önemli makaleler sunulmuştur. Veri tabanında yer alan önemli makaleler arasıda Türkiye de yapılmış olan makaleleri de görmek mümkündür. CiteSpace gibi sosyal ağ profilini yansıtan programların yardımıyla, çalışma konusu belirlenebilir, literatürdeki eksiklikler veya boşluklar hakkında güncel bilgiler elde edilebilir.

Likert-type scales are often used in education and psychology. In Likert-type scales, response options/categories, like items, are expected not to direct individuals’ responses. Although the researchers themselves make decision on how to arrange categories during scale development, it is possible that different categories reveal different response behaviors. In the literature, it has been observed that differentiations in the number of categories of forms are studied more, yet there are a limited number of studies investigating the middle category in the forms with different labels. Furthermore, it has also been observed that there are limited number of empirical studies conducted based on polytomous Item Response Theory. This study, which was conducted to close this gap in the literature, was carried out with 377 students. The options of the attitude scale were denominated with different labels, and thus four different forms were generated. Only the middle category names were changed in the first three forms, and in the fourth form, the categories were graded. The data obtained from the forms were analyzed using the Graded Response Model and the Generalized Partial Credit Model depending on Item Response Theory. After the examination of reliability of the forms, the parameters in these forms, and the relationships between the parameters according to both models, inferences were made as to how the differences of the middle category in the forms had an effect on the perceptions of individuals.