@article{2016,title={ABSENTEEISM ATTITUDES OF UNIVERSITY STUDENTS: LOGISTIC PREDICTION BETWEEN VARIABLES},abstractNode={The aim of the education is to create a permanent behavioral changes in students. Inducing lasting behavioral changes in students is largely dependent on experience-based and constructivist environments. Especially in formal education, the students’ levels of attendance has a fairly important effect on their level of learning. ). Educational institutions should pay close attention to student absenteeism, and consider the factors that ensure attendance. Absenteism can change according to school success, school climate, socioeconomic conditions, teacher support, academic knowledge, communication problems and anxiety. In this study, data on absenteeism attitudes obtained from students studying at Cumhuriyet University during the 2013-2014 academic year were analyzed statistically. “Absenteism Attitue Scale” (AAS) was used in the study as a scale. Also datas prapered for the analysis analysed missing value and extreme value. The absenteeism attitudes of the students were separated into three groups, which were the low, medium and high level groups. Two-stage clustering analysis was employed when performing this distinction. Since the dependent variable had an ordinal structure with three categories, ordinal logistic regression analysis was used. Study results revealed that the students’ weekly course hours, weekly hours of absence, and satisfaction with the department variables have a significant effect on their attitude towards absenteeism.},author={Hatice Gonca USTA-- Celal Teyyar UĞURLU - Ahmet Salih ŞİMŞEK},year={2016},journal={The Journal of Academic Social Science Studies}}