Akademik Veri Yönetim Sistemi
CROATIAN JOURNAL OF EDUCATION-HRVATSKI CASOPIS ZA ODGOJ I OBRAZOVANJE, cilt.16, sa.4, ss.1031-1054, 2014 (SSCI)
The main aim of this study was to investigate whether predictors such as perfectionism, school motivation, learning styles and academic achievement could distinguish gifted students from non-gifted students. The sample consisted of 386 (Female=164, Male=222) gifted and 410 (Female=209, Male=201) non-gifted upper primary school students. Information Gathering Form, Positive-Negative Perfectionism, School Motivation and Learning Styles Scales were used as data gathering tools. Independent t-test, Pearson's coefficient and discriminant analysis were used to analyse data. Classification results show that the model correctly predicted 98.4% of gifted students and 81% of non-gifted students. This was also discussed in the light of the current literature.