This study aimed to compare the Graded Response Model (GRM) and the Mixed-Graded Response Model (MixGRM) in terms of model data-fit and parameters and demonstrate the application of MixGRM on real ...data. In this context, this study is basic research based on the International Computer and Information Literacy Study in 2013 conducted with eighth-grade participants from Turkey. The data from a total of 2,356 students were used in the study. In testing the models, data was obtained from an 11-item Likert scale that measured the students' interest and enjoyment in using Information and Communication Technologies (ICTs). When the GRM- and MixGRM-based model data-fit results were compared, the model with the best fit was the MixGRM with four latent classes. Students who reported to enjoy using ICT and who had the highest computer and information literacy (CIL) score were found to be in the first latent class, those with least enjoyment or dislike and those with the lowest CIL score were in the fourth latency class. The findings show that reducing the heterogeneity of Mixed-Item Response Theory models in the dataset is a preferable model for research situations and that Turkish students are not yet prepared for life in the digital age.
The purpose of this study is to determine the best IRT model Rasch, 2PL, 3PL, 4PL and mixed IRT (2 and 3PL) for the science and technology subtest of the Transition from Basic Education to Secondary ...Education (TEOG) exam, which is carried out at national level, it is also aimed to predict the item parameters under the best model. This study is a basic research as it contributes to the information production which is fundamental for test development theories. The study group of the research is composed of 5000 students who were randomly selected from students who participated in TEOG exam in 2015. The analyses were carried out on 17 multiple choice items in TEOG science and technology subtest. When model fit indices were evaluated, the MixIRT model with two parameters and three latent classes was found to fit the data best. According to this model, when the difficulties and discrimination averages of the items are taken into account, it can be expressed that items are moderately difficult and discriminative for students in latent class-1; the items are considerably easy and able to slightly distinguish the students in latent class-2; the items are difficult to the students in the third latent class and they can slightly distinguish the students in this group.
In this study, it is aimed to distinguish the reading skills of students participating in PISA 2015 application into multi-level latent classes at the student and country level. Furthermore, it is ...aimed to examine how the clusters emerged at country-level is predicted by variables as students have the information and communication technology (ICT) resources. The population of this research, which is in a descriptive survey model consists of all students who are aged 15 from 72 countries which participated in the PISA 2015 application. As for sample, it is made up of 519,334 students and 17,908 schools which were chosen randomly for PISA 2015 application from these countries. In analyzing data, a multi-level latent class and three-step analysis were employed. Analyses have shown that having ICT resources at home is the most influential variable on the reading skills of countries. It is determined both in in-country and across countries that there are some differences in ICT resources at home and school. In this context, it may be stated that the equal opportunity in education has not been provided in many countries on international scale.
The Short Mood and Feelings Questionnaire-Child Self Report (SMFQ-C; 13-item) was developed to assess depression among children and adolescents. The SMFQ-C is one of the widely used instruments due ...to its easy administration, open-access feature, and good psychometric properties. The present study attempted to investigate psychometric properties of the Turkish translated version of the SMFQ-C with a total of 428 children and adolescents, between ages 9 and 17. To analyze data, independent samples
t
-tests, ANOVA, Cronbach’s alpha statistics, Pearson’s correlations, and confirmatory factor analysis were utilized. Our study findings suggested that the test–retest reliability of the 13-item Turkish SMFQ-C was significant, and there were favorable evidences for both convergent and discriminant evidence. Confirmatory factor analysis supported that the Turkish version of the SMFQ-C has appropriate psychometric properties for utilization, including reasonably good fit of the model with a Cronbach’s alpha value of .89. Group comparison analyses revealed that female students and high school students scored significantly higher on the Turkish SMFQ-C. We concluded that the Turkish translated version of the SMFQ-C is a reliable and valid tool for rapid screening of depression among non-clinical, Turkish-speaking children and youth.
Bu çalışmanın amacı, 2012-2015 yılları arasında Sosyal Bilimler Atıf İndeksi’nde (Social Science Citation Index-SSCI) taranan ölçme ve değerlendirme alanındaki makalelerin; yazar sayısı, konu seçimi, ...evren-örneklem/çalışma grubu büyüklüğü ve özellikleri, veri toplama teknikleri/araçlarının türü, veri analiz yöntemleri ve kullanılan paket programları açısından inceleyerek yıllara göre mevcut eğilimleri ortaya koymaktır. Betimsel tarama modelinde olan araştırmanın evreni, ölçme ve değerlendirme alanında SSCI'da taranan tüm dergilerdir. Çalışmada, amaçlı örnekleme yöntemlerinden ölçüt örnekleme yöntemiyle seçilen üç dergideki 358 makale incelenmiştir. Verilerin analizinde içerik analizi türlerinden kategorisel ve frekans analizi kullanılmıştır. Analizler sonucu, en fazla çalışılan konu ve veri analiz yönteminin “farklılaşan madde fonksiyonu” olduğu, makalelerdeki örneklem büyüklüğünün oldukça yüksek olduğu, çalışmaların yarısında simülasyon verileri kullanıldığı ve R yazılım diline bağlı paketlerin kullanımının arttığı tespit edilmiştir.
The purpose of the current study was to identify latent profiles of COVID-19 fear, depression, anxiety, stress, mindfulness, and resilience among university students. A total of 506 university ...undergraduate and graduate students from various universities were recruited through online platforms in Turkey. Data were collected utilizing self-report scales and were analyzed utilizing latent profile analysis. Results indicated significant relationships among COVID-19 fear, depression, anxiety, stress, resilience, and mindfulness. A three-class solution was adapted to fit the current data. Findings revealed that 46% of the participants were classified into the high COVID-19 fear and medium psychological symptoms profile. Also, 38% of the participants were identified as low psychological symptoms and high mindfulness and resilience. Additionally, 16% of the participants were classified as high COVID-19 fear, psychological symptoms and low mindfulness and resilience. Female gender was positively associated with COVID-19 fear, depression, anxiety, and stress. Life satisfaction and social support were positively associated with the mindfulness and resilience, and were negatively related to COVID-19 fear, depression, anxiety, and stress.
This study tested the applicability of the theoretical Examination for Candidates of Driving License (ECODL) in Turkey as a computerized adaptive test (CAT). Firstly, various simulation conditions ...were tested for the live CAT through an item response theory-based calibrated item bank. The application of the simulated CAT was based on data from e-exams administered by the Ministry of National Education (MoNE). Results of the first stage of the study were used to determine the rules for starting, continuing, and terminating the live CAT exam for ECODL. Secondly, the live CAT exam was applied according to the results of the simulation. Candidate drivers (n = 280) who had taken the ECODL as an e-test participated in the second stage. Thirdly, the opinions of the individuals who took the computer-based test towards the computer-based testing application were mapped. In the termination rule of the CAT-based ECODL, testing with a fixed number of questions yielded the smallest estimated measurement error. We also found that when ECODL was implemented as CAT, it could reliably differentiate among testers in terms of competence of theoretical knowledge of driving and provide basis for accurate decisions regarding their proficiency. According to the findings obtained on the candidates’ opinions on the computer-based testing application, it was seen that they considered computer-based application more practical an easier in terms of testing.
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