Predication of Ethical Judgment & Behavior Based on Personal-Familial Values & Moral Meta-Cognition in Students

The purpose of this study was to investigate the prediction of moral judgment and ethical behavior in female students of ordinary and gifted schools in Gachsaran city based on personal-familial values ​​and moral meta-cognition.

The research method is descriptive-correlational and in terms of purpose is applied research. The statistical population of this study included all high school students in Gachsaran city. 200 students were selected by multi-stage cluster sampling method. The data collection tool was moral knowledge meta-cognitive knowledge questionnaire, moral reasoning, ethical behavior and personal values ​​(family-job). In order to analyze the data, descriptive statistics and inferential statistics (Pearson correlation coefficient, multiple regression coefficients and multiple regression analysis) were used.

The findings showed that predictive variables (moral meta-cognitive knowledge and personal-family values), with the exception of job values, created a meaningful model for predicting students' moral reasoning. However, business values ​​did not predict moral judgment. But predictive variables (meta-cognitive knowledge and personal-familial values) have created a meaningful model for predicting students' ethical behavior (P≤0.001. (

Findings indicate that taking into account the need of society for learning and observing judgment and ethical behavior, attention to the knowledge of meta-cognition and personal-family values ​​can be effective in this regard