ABSENTEEISM ATTITUDES OF UNIVERSITY STUDENTS: LOGISTIC PREDICTION BETWEEN VARIABLES

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...

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Autores principales:	Hatice Gonca USTA, Celal Teyyar UĞURLU, Ahmet Salih ŞİMŞEK
Formato:	article
Lenguaje:	DE EN FR TR
Publicado:	Fırat University 2019
Materias:	absenteeism attitude logistic regression hours of absence course hours satisfaction with the dep Social Sciences H Social sciences (General) H1-99
Acceso en línea:	https://doaj.org/article/bc89da23205942458c177a0d9a45bea1
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spelling	oai:doaj.org-article:bc89da23205942458c177a0d9a45bea12021-11-24T09:20:49ZABSENTEEISM ATTITUDES OF UNIVERSITY STUDENTS: LOGISTIC PREDICTION BETWEEN VARIABLES2148-416310.9761/JASSS3633https://doaj.org/article/bc89da23205942458c177a0d9a45bea12019-08-01T00:00:00Zhttps://jasstudies.com/index.jsp?mod=tammetin&makaleadi=646090759_11-Yrd.%20Do%C3%A7.%20Dr.%20Hatice%20Gonca%20USTA.pdf&key=28037https://doaj.org/toc/2148-4163The 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.Hatice Gonca USTACelal Teyyar UĞURLUAhmet Salih ŞİMŞEKFırat Universityarticleabsenteeism attitudelogistic regressionhours of absencecourse hourssatisfaction with the depSocial SciencesHSocial sciences (General)H1-99DEENFRTRJournal of Academic Social Science Studies , Vol 9, Iss 50, Pp 169-182 (2019)
institution	DOAJ
collection	DOAJ
language	DE EN FR TR
topic	absenteeism attitude logistic regression hours of absence course hours satisfaction with the dep Social Sciences H Social sciences (General) H1-99
spellingShingle	absenteeism attitude logistic regression hours of absence course hours satisfaction with the dep Social Sciences H Social sciences (General) H1-99 Hatice Gonca USTA Celal Teyyar UĞURLU Ahmet Salih ŞİMŞEK ABSENTEEISM ATTITUDES OF UNIVERSITY STUDENTS: LOGISTIC PREDICTION BETWEEN VARIABLES
description	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.
format	article
author	Hatice Gonca USTA Celal Teyyar UĞURLU Ahmet Salih ŞİMŞEK
author_facet	Hatice Gonca USTA Celal Teyyar UĞURLU Ahmet Salih ŞİMŞEK
author_sort	Hatice Gonca USTA
title	ABSENTEEISM ATTITUDES OF UNIVERSITY STUDENTS: LOGISTIC PREDICTION BETWEEN VARIABLES
title_short	ABSENTEEISM ATTITUDES OF UNIVERSITY STUDENTS: LOGISTIC PREDICTION BETWEEN VARIABLES
title_full	ABSENTEEISM ATTITUDES OF UNIVERSITY STUDENTS: LOGISTIC PREDICTION BETWEEN VARIABLES
title_fullStr	ABSENTEEISM ATTITUDES OF UNIVERSITY STUDENTS: LOGISTIC PREDICTION BETWEEN VARIABLES
title_full_unstemmed	ABSENTEEISM ATTITUDES OF UNIVERSITY STUDENTS: LOGISTIC PREDICTION BETWEEN VARIABLES
title_sort	absenteeism attitudes of university students: logistic prediction between variables
publisher	Fırat University
publishDate	2019
url	https://doaj.org/article/bc89da23205942458c177a0d9a45bea1
work_keys_str_mv	AT haticegoncausta absenteeismattitudesofuniversitystudentslogisticpredictionbetweenvariables AT celalteyyarugurlu absenteeismattitudesofuniversitystudentslogisticpredictionbetweenvariables AT ahmetsalihsimsek absenteeismattitudesofuniversitystudentslogisticpredictionbetweenvariables
_version_	1718415504211705856

ABSENTEEISM ATTITUDES OF UNIVERSITY STUDENTS: LOGISTIC PREDICTION BETWEEN VARIABLES

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