Case Analysis Using the Eight-Step Model

Case study using an 8-step model The 8-step module is a framework tool to support and support analysis of ethical dilemmas. After Koch Industries acquired Georgia Pacific, they immediately took steps to move their unique and ethical culture to their new "family". Employees of Tom Butz and other Koch and Georgia - Pacific employees are responsible for immediate migration. "The important thing is the company's leadership dedication to building a vision of compliance and ideal culture" (Travion & Nelson, 2011, p. 247) In the beginning, there is a possibility of confusion.

The next step in the task is to develop discriminant analysis. Discriminant analysis is useful when building predictive models of group membership based on the observed characteristics of each case. This process is based on a linearly generated discriminant function (or in the case of two or more groups, a set of discriminant functions) predictors. Please combine to distinguish between groups. When we compare groups at once (univariate analysis) according to each variable, we better understand the data and determine the relative importance of each variable in distinguishing the group to form whether the hypothesis group is different or not I can not point out gender. Use it in combination. In this sense, we are interested in deciding which variables are more important or more influential.

In the bivariate analysis, the status of the case group and the control group out of the 8 factors was examined. Independent specimen T test was done to compare the scores of the eight factors in the case group and control group. As shown in Table 4, there was a significant difference between the two groups of all factors. Report the magnitude of the mean difference (η squared) of each factor. Multivariate logistic regression analysis showed the risk of drug addiction and adolescent poisoning and protective factors. The complete model, taking all predictor variables into consideration, is statistically significant, indicating that this model can distinguish between addictive and non-addictive participants (). In the model as a whole, we explain the difference in human condition from 51.2% (C squared Sn's squared) to 70.8% (Nagelkerke's R squared) and correctly classify 87% of cases (model sensitivity and Specificity is 82%). And 89.6% each)

Confirmatory Factor Analysis (CFA) and Scanning Electron Microscopy are used to test the conceptual model of antecedents of underwater behavior. First, you can test the test model's Confirmative Factor Analysis (CFA) and freely correlate all the configurations (Observation Metrics and Potential Configurations). According to Anderson and Gerbing (1988), it is necessary to evaluate and redesign the confirmation measurement model before testing the structural formula model. Before testing the overall measurement model, each component in the model was analyzed separately. It is evaluated using multiple approximation criteria such as chi-square statistic (c2), degree of freedom (df), p2 value of c2 statistic, relative variance (c2 / df), comparative approximation index (CFI), approximation . Square root error (RMSEA) and normalized root mean square residual (SRMR). For the experience level, three projects were used

Investigation of the influence of experience, personality and attitude on the underwater behavior of SCUBA diver: structural equation model