Survey Development: Student Satisfaction in Online Education

Polat, Öykü
Gündüz, Ayşe Öykü
Karakaş, Buse
Sarraf, Batuhan Cem
Saniç, Nihan
Baytek , Ece Naz
Yankaç, Ömer Faruk
Taşkesen, Nureda
Demir, Berkan
Barutçu Yıldırım, Kadriye Funda


Individual variation in the spatial reference and working memory assessed under allothetic and idiothetic orientation cues in rat
Jakubowska-Dogru, E; Gumusbas, U; Kara, F (2003-01-01)
The present study was designed to examine which kind of memory: reference or working, better correlates with individual variation in rats' spatial learning abilities. To answer this question two groups of rats were trained to an arbitrary criterion in a partially baited 12-arm radial maze under two different experimental conditions: with or without allothetic cues. After 10 days break, rats were examined under the same conditions for memory retention. Within- and between-group variation in the length of tra...
Response Variance Estimation in Personal Interview Surveys with Several Interviewer Allocation Schemes
Batmaz, İnci (2015-12-01)
Sampling variance estimation in complex sample surveys.
Toprak, A Ömer; Öztaş, Ayhan; Department of Statistics (1996)
Individual Differences as Predictors of Illicit Drug Use Among Turkish College Students
Ayvasik, H. Belgin; Sümer, Hayriye Canan (2010-01-01)
Although the prevalence of drug use in the young adult population in Turkey is still far below the figures reported for most European Union countries and the United States, there seems to be a noteworthy increase in drug use, especially among high school and college students. The purpose of the present study was to examine the extent of drug use among college students in Turkey and to identify some of the individual-difference variables associated with drug use. Participants were 781 college students. A sur...
Statistical downscaling of monthly reservoir inflows for Kemer watershed in Turkey: use of machine learning methods, multiple GCMs and emission scenarios
OKKAN, UMUT; İnan, Gül (Wiley, 2015-09-01)
In this study, statistical downscaling of general circulation model (GCM) simulations to monthly inflows of Kemer Dam in Turkey under A1B, A2, and B1 emission scenarios has been performed using machine learning methods, multi-model ensemble and bias correction approaches. Principal component analysis (PCA) has been used to reduce the dimension of potential predictors of National Centers for Environmental Prediction and National Center for Atmospheric Research (NCEP/NCAR) reanalysis data. Then, the reasonabl...
Citation Formats
Ö. Polat et al., “Survey Development: Student Satisfaction in Online Education,” presented at the IX th International Eurasian Educational Research Congress, İzmir, Türkiye, 2022, Accessed: 00, 2022. [Online]. Available: