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The education is not only a major sector nowadays, but it is also an investment by parents for their children. This study aims to investigate the effect of the dimensions (reliability, tangibility, responsiveness, assurance and empathy) of service quality in primary education on parent satisfaction. This research is conducted in a public primary school and self-administered questionnaire is used to collect the related data. Data is collected based on SERVQUAL model through distributing 400 questionnaires to randomly selected parents in Celal Avşar Primary School in Turkey. The results of this study show that the tangibility, the reliability, the assurance and the empathy of service quality are important dimensions and they have significant positive effect on parent satisfaction.

In this paper, it is aimed to determine the true regressors explaining the dependent variable in multiple linear regression models and also to find the best model by using two different approaches in the presence of low, medium and high multicollinearity. These approaches compared in this study are genetic algorithm and multivariate adaptive regression splines. A comprehensive Monte Carlo experiment is performed in order to examine the performance of these approaches. This study exposes that nonparametric methods can be preferred for variable selection in order to obtain the best model when there is a multicollinearity problem in the small, medium or large data sets.

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