Akademik Veri Yönetim Sistemi
HACETTEPE UNIVERSITESI EGITIM FAKULTESI DERGISI-HACETTEPE UNIVERSITY JOURNAL OF EDUCATION, cilt.32, sa.4, ss.838-862, 2017 (ESCI)
In this research, it was determined that how all of the OECD member countries and other participant countries clustered according to their average self-efficacy, interest and attitude scores included in PISA 2012. The population of this research which is compatible with general screen model involves the OECD member countries and other participant countries attending PISA 2012 student questionnaire. Throughout the study, in order to determine the way in which clusters will unite or disperse full connection method was utilized through hierarchical clustering approaches. K-means and discriminate analysis methods were utilized in order to obtain evidence associated with the validity of the number of clusters obtained at the end of the analysis. Results conclude that 8 different clusters for self-efficacy scores, 7 different clusters for interest scores, and 6 different for attitude scores were obtained. Cluster analyses results yield that with the self-efficacy scores Shanghai and Japan formed one cluster for each; and with the attitude scores Denmark and Norway, Japan and Korea composed another for each. It can be seen that according to the self-efficacy scores, Turkey is in the same cluster with Australia, France, Chile, United Kingdom, Ireland, Belgium, Lithuania, New Zealand, Denmark, Sweden, Norway. According to this result, it can be seen that the countries tending to form a cluster individually in the cluster analysis can easily be distinguished visually thanks to the multi-dimensional scaling method however this method cannot be succeeded in differentiating cluster elements as long as the number of the cluster increase