Prediction of Marital Satisfaction Level of Female Students based on Attachment Styles: Comparing the Power of Logistic Regression and Artificial Neural Networks

Document Type : Research Paper

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Abstract

The aim of the present study was to compare the power of logistic regression and artificial neural network in the prediction of marital satisfaction of female students based on their attachment styles. Data were collected through the marital satisfaction questionnaire (ENRICH) and adult attachment Inventory that was completed by 300 female married students and were analyzed by the mentioned methods. Proportions of correct prediction of the two methods were compared using McNemar test as well. Results showed that although the artificial neural network model was more successful than the other, reducing number of the predictors into three items, there was no significant difference between the mentioned models. Hence, it could be proposed that when the number of predicting factors is in creased and goes beyond some levels, the artifical neural network model would be more successful than the logistic regression model.

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Journal of Modern Psychological Researches
Volume 10, Issue 38 - Serial Number 38
December 2015
Pages 99-117

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  • Receive Date: 13 December 2015
  • Accept Date: 13 December 2015

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