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One of the various types of a dissertation that you can write as a student in an institution of higher learning is a quantitative dissertation. This type of a dissertation usually emphasizes on quantitative research methods. Such methods put more emphasis on figures as the best way to explain a given phenomenon. It then goes without saying that a quantitative dissertation uses mathematical or statistical analysis of the collected numerical data in order to solve a given research problem.
Unlike a qualitative dissertation, this type of a dissertation is more interested in generalizing the findings from the sample to the entire population from which the sample has been drawn from. If you are confused about how to work on this academic document, then you better order for our quantitative dissertation writing help. We promise you that we shall offer you reliable writing solutions, Quantitative Dissertation Writers.
Usually, a quantitative dissertation can either be descriptive or experimental. A descriptive quantitative dissertation measures the subject only once. In other words, when one is conducting a descriptive study, he/she is unable to determine cause and effect between variables. One can however understand their relationship. On the other hand, an experimental quantitative dissertation measures the subject before and after a given intervention or treatment.
By so doing, these types of studies are able to establish causality among the given variables under study. Differentiating between these two types of dissertations can be confusing but we promise you that our statistical data analysts understand their difference. This implies that we are capable of helping you regardless of whether your dissertation falls under descriptive or experimental categories. We assure you that we shall deliver you work that will in no doubt earn you a good grade.
There are a number of features that makes a quantitative dissertation different from other types of dissertation. To begin with, the process of investigating on it is carefully planned before the actual research can start. Secondly, it uses samples to make generalizations about larger populations. Thirdly, this type of research is highly reliable, and this means that it can be easily repeated or replicated.
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Perhaps the most distinctive feature of a quantitative dissertation is that data are usually in non-textual form. This means that they are in the form of numbers. Owing to this fact, they are presented and arranged in charts, figures and tables among others. The data are used to conduct statistical tests such as: t-tests, ANOVA and F-tests to test correlation between variables or to predict the future results.
This then implies that a quantitative dissertation makes some key assumptions of the population from which the sample has been drawn. Why don’t you allow our statistical data analysts to help you today? We promise that you shall not regret ordering for our help as we perfectly understand how to come up with an exceptional quantitative dissertation. Our services are also easily accessible as all that you are required to do fill in our short order form or contact us.
One of the common mistakes that students make when writing a dissertation of failing to explain missing data. It is worth to note that for a given statistical test to be valid the sample of the test must be sufficient. It is therefore worth to explain how the missing data affects your tests , Quantitative Dissertation Writers. Most importantly, you must proof that such missing data do not compromise the validity of the various statistical tests.
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