Dissertation data analysis can be a hard nut to crack. For researchers who are undertaking research work for the very first time, the Data Analysis chapter holds the key to the creation of a brilliant piece of research. While most of the other chapters can still be written after consulting books and other forms of literature , this is one chapter that requires an extensive sense of application of the theory and statistical techniques, which makes it hard for students/researchers to come up with high-quality data analysis
Additionally, data analysis often involves the use of various software packages like SAS and SPSS that are commonly not known to many researchers. Prior to using a particular tool for data analysis, it is important to identify the patterns and trends in the collected data. Presenting the collected data in an efficient manner is also important.
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While explaining your results, we make sure to reference these against your collated literature that you have already presented in the Literature Review chapter. Although we highlight how your findings justify your study objectives, we also give their pros and cons. We offer you a clear and meaningful chapter that is linguistically flawless.
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