Structural equation modeling (SEM) analysis A structural equation modeling technique was used to test the model. For this purpose, the LISREL 8.80 program was used. (Usluel, Aşkar and Baş, 2008; (Suhr, undated; Teo, Khine, 1990; Jackson et al., 2005; Hooper, Coughlan and Mullen, 2008; Hoe, 2008; Stephenson, Holbert and Zimmerman, 2006)The model the test results are shown in Figure 2. Mutual benefit was found to have a direct impact on moral imagination. The observed variables used to predict the latent variables in structural equation modeling were obtained by processing the data in the tool (Usluel). , Aşkar and Baş, 2008 (Suhr, no date; Teo, Khine, 1990; Jackson et al., 2005; Hooper, Coughlan and Mullen, 2008; Hoe, 2008; Stephenson, Holbert and Zimmerman, 2006) The variables egotism, dogmatism and empathy predict the latent variable “mutual advantage” which was calculated using the relevant items as a result of the factor analysis carried out on the items, in the data collection instrument, that tend to explain the purposes of mutual advantage on the moral imagination. The equation for path analysis is as follows, 7 fit indices commonly used in the literature (x²/df, GFI, AGFI, NNFI, CFI, RMSR, RMSEA) were used to test the model fit. The best fit was acquired when trialability was eliminated from the model (Usluel, Aşkar, & Baş, 2008). As the values ​​in Table 7 reveal, the model fit indices are included in the values ​​recognized in the literature. Commonly used model fit measures, based on the results of a structural model analysis, are summarized in the table. In practice, Chi-square/degrees of freedom less than 3, GFI, NNFI, CFI greater than 0.9, an AGFI greater than 0.8, RMSR less than 0...... half of the paper.... .. Mining Model Fit", The Electronic Journal of Business Research Methods, 6(1), pp. 53 - 60, available at: www.ejbrm.comHoe, SL (2008) "Issues and Procedures in Technique Adoption of Structural Equation Modeling", Journal of Applied Quantitative Methods, 20(1), pp. 76-83Stephenson, MT, Holbert, RL, Zimmerman, RS (2006) "On the Use of Structural Equation Modeling in Health Communication Research", Health Communication, 20(2), pp. 159–167. Mehalik, M.M., Gorman, M.E. (2006) “A framework for evaluating strategic network design, decision making, and moral imagination,” Science, Technology and Human Values, 31, pp. 289-307. Research Methods: Knowledge Base, (2006) Likert Scaling Available at: http://www.socialresearchmethods.net/kb/scallik.php (Accessed: 7 June 2010) , J. (1986). Moral development: Advances in research and theory. New York: Preger.