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Can Objects be Moral Agents? Posthuman Praxis in Public Transportation
Published in Kristen R. Moore, Daniel P. Richards, Posthuman Praxis in Technical Communication, 2018
Meredith A. Johnson, Nathan R. Johnson
Practically, to gather data, we deployed a modified version of post hoc analysis, a methodology that typically uses statistical methods (Ramsey, 2010, p. 1057). Post hoc analyses can be used to identify patterns in data not conceptualized before the research. This often happens when the data collection process yields a potentially valuable yet unexpected finding. Thus, the process of data collection provides the warrant for conducting a post hoc analysis. The value of this type of research while using statistical methods is that it allows for better hypotheses to be formed in the future by locating new theories or explanations. We suggest similar value in for our qualitative approach.
Life Model for PWM Controlled Induction Motor Insulation using Design of Experiments Method
Published in Electric Power Components and Systems, 2019
Triloksingh G. Arora, Mohan V. Aware
To verify whether significant relation exists between the proposed stress factors and the insulation life, Post hoc test by Bonferroni–Holm method is conducted on the fuzzy logic model results. In the design and analysis of experiments Post hoc analysis consists of investigating into the data after the experiment is concluded. The Post hoc test by Bonferroni–Holm method is a powerful technique to find whether significant relation exists between the factors of a sub-group. Table 4 shows the results of Post hoc test by Bonferroni–Holm method conducted on the fuzzy logic results. This is observed from the test results that the proposed stress parameters significantly affect the life of the insulation. Also between the stress parameters equal variance cannot be assumed as p < 0.05. Therefore, results of fuzzy logic model can be used to obtain life model using Design of Experiments (DoE) method.