Moral Imagination & Management Decision Making

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Analysis of Structural Equation Modeling (SEM) A structural equation modeling technique was used to test the model. The LISREL 8.80 program was employed for this purpose. (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 model testing results are shown in Figure 2. It was found that mutual benefit has 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 instrument. (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 variable egotism, dogmatism and empathy predict the latent variable “mutual benefit” that was calculated using the relevant items as a result of the factor analysis carried out on the items, in the data collection tool, which tend to explain the purposes of mutual benefit on moral imagination. Equation for path analysis is as follows, 7 fit indexes which are commonly used in the literature (x²/d.f, GFI, AGFI, NNFI, CFI, RMSR, RMSEA) were employed to test model fit. The best fit was acquired when trialability was dropped from the model (Usluel, Aşkar and Baş, 2008). As the values in Table 7 reveal, the fit indexes of the model are included in the values which are acknowledged in the literature. The commonly used measures of model fit, based on results from an analysis of the structural model, are summarized in 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... ... middle of paper ... ...mining Model Fit’, The Electronic Journal of Business Research Methods, 6(1), pp. 53 - 60, Available at: www.ejbrm.com Hoe, S.L. (2008) ‘Issues And Procedures In Adopting Structural Equation Modeling Technique’, Journal of Applied Quantitative Methods, 20(1), pp. 76-83 Stephenson, M.T., Holbert, R.L., Zimmerman, R.S. (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 Strategic network Design Assessment, Decision Making, and Moral Imagination’, Science, Technology & Human Values, 31, pp. 289-307. Research Methods: Knowledge Base, (2006) Likert Scaling. Available at: http://www.socialresearchmethods.net/kb/scallik.php (Accessed: 07 Jun 2010) Rest, J. (1986). Moral development: Advances in research and theory. New York: Praeger.

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