| dc.creator |
Meral Yay |
|
| dc.creator |
Eylem Deniz Akıncı |
|
| dc.date |
2009-06-01T00:00:00Z |
|
| dc.date.accessioned |
2015-08-12T11:17:49Z |
|
| dc.date.available |
2015-08-12T11:17:49Z |
|
| dc.identifier |
1305-9076 |
|
| dc.identifier |
1305-905X |
|
| dc.identifier |
https://doaj.org/article/9ed5430849d949f5870d773fe1122625 |
|
| dc.identifier.uri |
http://evidence.thinkportal.org/handle/123456789/26497 |
|
| dc.description |
Measuring student satisfaction is an important issue especially for university administration, in order to improvestudent services and opportunities. The major objective of this study is to provide a solution for this issue.Consequently, student satisfaction has been measured with an ordered five-point Likert scale. A student satisfactionquestionnaire was applied to a total of 314 university students, consisting of 208 female and 106 male students, andsatisfaction was measured by asking students to respond to 19 questionnaire items. Ordinal regression and artificalneural network methods were applied to the collected data which emphasized the differences between the twomethods in terms of the correct classification percentages |
|
| dc.language |
English |
|
| dc.language |
Turskish |
|
| dc.publisher |
World Education, Science, Research and Counseling Center |
|
| dc.relation |
http://www.world-education-center.org/index.php/cjes/article/view/72/35 |
|
| dc.relation |
https://doaj.org/toc/1305-9076 |
|
| dc.relation |
https://doaj.org/toc/1305-905X |
|
| dc.rights |
CC BY-NC |
|
| dc.source |
Cypriot Journal of Educational Sciences , Vol 4, Iss 1, Pp 58-69 (2009) |
|
| dc.subject |
artifical neural networks |
|
| dc.subject |
ordinal logistic regression |
|
| dc.subject |
student satisfaction |
|
| dc.subject |
Education (General) |
|
| dc.subject |
L7-991 |
|
| dc.subject |
Education |
|
| dc.subject |
L |
|
| dc.subject |
DOAJ:Education |
|
| dc.subject |
DOAJ:Social Sciences |
|
| dc.subject |
Education (General) |
|
| dc.subject |
L7-991 |
|
| dc.subject |
Education |
|
| dc.subject |
L |
|
| dc.subject |
DOAJ:Education |
|
| dc.subject |
DOAJ:Social Sciences |
|
| dc.subject |
Education (General) |
|
| dc.subject |
L7-991 |
|
| dc.subject |
Education |
|
| dc.subject |
L |
|
| dc.subject |
Education (General) |
|
| dc.subject |
L7-991 |
|
| dc.subject |
Education |
|
| dc.subject |
L |
|
| dc.subject |
Education (General) |
|
| dc.subject |
L7-991 |
|
| dc.subject |
Education |
|
| dc.subject |
L |
|
| dc.title |
Application of Ordinal Logistic Regression and Artifical Neural Networks in a Study of Student Satistaction |
|
| dc.type |
article |
|