TY - JOUR
T1 - Assessing quality in higher education
T2 - New criteria for evaluating students' satisfaction
AU - Zineldin, Mosad
AU - Akdag, Hatice Camgoz
AU - Vasicheva, Valentina
PY - 2011/7
Y1 - 2011/7
N2 - The aim of this research is to present a new quality assurance model (5Qs) and to examine the major factors affecting students' perception of cumulative satisfaction. The model includes behavioural dimensions of student satisfaction. The factors included in this cumulative summation are technical, functional, infrastructure, interaction and atmosphere of higher education institutions. This study concerns students in higher education institutions in Istanbul Turkey. The questionnaire contains a total of 39 items (attributes) of newly developed five quality dimensions (5Qs). A total of 1641 complete and usable questionnaires was received. Frequency analysis, factor analysis and reliability analysis were used for analysing the data collected. Inspection of scree plot and eigenvalues enabled the analysis to reduce the 39 quality attributes to seven factors. The results can be used by higher education institutions to re-engineer and re-design creatively their quality-management processes and the future direction of their more effective education quality strategies.
AB - The aim of this research is to present a new quality assurance model (5Qs) and to examine the major factors affecting students' perception of cumulative satisfaction. The model includes behavioural dimensions of student satisfaction. The factors included in this cumulative summation are technical, functional, infrastructure, interaction and atmosphere of higher education institutions. This study concerns students in higher education institutions in Istanbul Turkey. The questionnaire contains a total of 39 items (attributes) of newly developed five quality dimensions (5Qs). A total of 1641 complete and usable questionnaires was received. Frequency analysis, factor analysis and reliability analysis were used for analysing the data collected. Inspection of scree plot and eigenvalues enabled the analysis to reduce the 39 quality attributes to seven factors. The results can be used by higher education institutions to re-engineer and re-design creatively their quality-management processes and the future direction of their more effective education quality strategies.
KW - Behavioural dimensions
KW - Citizens
KW - Higher education
KW - Management
KW - Quality model
KW - Satisfaction
KW - Students
KW - University
UR - http://www.scopus.com/inward/record.url?scp=80051607107&partnerID=8YFLogxK
U2 - 10.1080/13538322.2011.582796
DO - 10.1080/13538322.2011.582796
M3 - Article
AN - SCOPUS:80051607107
SN - 1353-8322
VL - 17
SP - 231
EP - 243
JO - Quality in Higher Education
JF - Quality in Higher Education
IS - 2
ER -
