Service quality has increasingly been the subject of research in recent years. Parasuraman,
Zeithaml, and Berry presented and tested a generic model SERVQUAL to measure the perceived
quality of a service. James Carman adapted and applied this instrument for use in the hospital
industry. In this study, we use the instrument developed by Carman to collect data from the
hospitals in Turkey. The purpose of the study is to examine the important criteria for measuring
service quality in the health care industry in Turkey. The relationship between customer
satisfaction and serqual measures are investigated for this purpose. In our study customer
satisfaction measured by three criteria by asking customers; their future purchase intention, how
they evaluate overall service quality and how they see overall quality of the hospital. Service
quality was measured by the difference between perceived service and expected service and rated
on a seven point Likert scale. Serqual measures consist of 6 criteria; tangibility, reliability,
responsiveness, assurance, courtesy, and empathy. The techniques of factor analysis and the
logistic regression models are used to investigate the relationships. Like the linear regression
analysis, most of the usual statistical methods assume that the residuals, or errors, must follow a
normal distribution. If they are not the methods should not be used. Unlike ordinary linear
regression, logistic regression does not assume that the dependent variable or the error terms are
distributed normally. Also, it doesn’t assume that the relationship between the independent
variables and the dependent variable is linear. Logistic regression is a variation of ordinary
regression which is used when the dependent variable is a categorical variable. The results of our
analysis confirm that while tangibility, reliability, courtesy and empathy are significant for
customer satisfaction, responsiveness and assurance are not.