Split Personality Data Analysis

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Split personality has become one of the inherent disorders that have faced great criticism and debate among the psychiatrists. All that is recently understood about split personality has been at the center of discussion for decades. The last three decades have presented an exponential increment in the number of individuals who have been affected by this disorder. Following such overwhelming incidents of split disorder, researchers have embarked on examining the causes, symptoms and the effects on human life. In this study, researchers employ either the quantitative or the qualitative research methodologies or they may use both. Therefore, in addressing the disorder of split personality, the paper will greatly employ the quantitative approach …show more content…

The statistical test that would be employed in this case would be the t-test since two groups are being analyzed. The t-test in will be important because it is easier to apply and it is not tedious to use. Basically, t-tests are mainly performed on two sets of data making it to be more effective and efficient. Moreover, it helps one to come up with a decision faster because the results of the tests are distinct (Storky, 2010). The data can also be analyzed by using the descriptive statistical methods in which case the various statistical aspects may be looked into. Analyzing the mean, the median, the mode, the standard deviation from such data will greatly help. Description of statistics is important in analyzing this data because it will help one to have a generalized view about competency and …show more content…

The nominal variables here are the factors that which should be taken into account when individuals with split personality disorders are given psychological medication or treatment (Williams, 2010). The method used to test the factors being studied involves observations as well as the use of questionnaires that are open ended. The reliability of the tests involves performing consistent tests on the data that has been generated. Essentially, this is defined as consistent reliability. The validity of the variables and the tests is determined by using the content-based validity

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