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The results and findings chapter are one of the most important parts of their dissertation. This is because you demonstrate your unique research skills in this chapter. Therefore, there is often around 40% of the total brand. As a rule, this section ensures a performance of calculations, the interpretation of the results achieved and the discussion of these results in the light of theories and previous findings. In particular, the discussion is further separated into a new chapter. Since calculations and interpretation of the results are essential elements in their analysis chapter, it is important to discuss the type of statistical or econometric analysis in what kind of statistical or econometric analysis to maximize their opportunities to maximize a first.
The type of statistical analysis, which you decide for the results and is for the chapter, depends on the extent to which you want to analyze the data, and summarize your findings. The first step is important to present the variables. This is often done by summarizing descriptive statistics. All variables that are relevant to their research must be clearly defined. Thereafter, on the basis of it, they must judge whether a basic statistical analysis is sufficient, or it is necessary to dig deeper and provide an in-depth analysis. For example, if you are not greater with quantitative compartments, but write a dissertation in the social sciences, the basic statistical analysis is sufficient. What should contain a fundamental statistical analysis?
As I said, descriptive statistics are an essential part. Such analysis would be based on metrics such as the mean value, median, standard deviation and variance. Then you can improve the statistical analysis with visual information by showing the distribution of variables in the form of charts and diagrams. Such analysis can be easily performed in Microsoft Excel, but often research into social sciences includes the analysis that is carried out in SPSS. This software is useful for executing normal regressions and correlations. The estimation of cross-drawers and the comparison of variable equipment using ANOVA and T statistics are also considered basic elements of the statistical analysis that most students expect from which is expected. However, if you follow powerful and research in economics or finances in a quantitative subject, you may need to use more and more statistical analyzes.
To perform an advanced statistical analysis, you must most likely need to access software such as MATLAB, R or STATA. Which program with which you decide with which you continue to make sure it is properly documented in your research. In addition, it is extremely important to be able to use the particular statistical technique. Such justification gives your research more weight and makes it more convincing for the readers. Furthermore, with an advanced statistical technology, it will ensure that you analyze all sorts of aspects of your data. For example, a difference between the basic regression analysis and an advanced level analysis is that you need to consider additional tests and deeper explorations of statistical problems with your model. For example, you can explore the type I and type II error, quality of residuals in the model, the consistency of the model with the theoretical framework and alternative methods for estimating coefficients. You also have to focus on your research question and goals as you will be deeper into statistical details that you can distract from the main goal. Ultimately, the goal of their dissertation is to find answers to the research questions they defined.
Another important aspect, which is considered here, is that the results of the results and the findings are not all about the numbers. Apart from tables and graphics, it is also important to ensure that the interpretation of its statistical findings is accurate and engages the users. Such a combination of advanced statistical software along with a convincing textual discussion costs a long way to ensure that its dissertation is well received. Although the use of such advanced statistical software can offer a variety of outputs, you must ensure that you use your own formatting. The insertion of raw output of statistical software is an indication of unprofessional writing. Read higher valued academic magazines in your area and make sure that tables are formatted, and the information is displayed. Try to maintain with the established traditions found in top magazines relating to the presentation of results and their interpretation.
To summarize, it is important to have a firm grip on the topic they have chosen, and the most important goals they are pursuing. The decision to use specific statistical methods can only be made on the basis of the type of data they have, the topic they study, and the degree of what they treated at the university. If you analyze primary data for management, marketing or business, it is more appropriate to make the basic statistical analysis. However, if you write a dissertation into a quantitative field such as business or finances and use secondary data, but you must be able to implement advanced statistical methods to achieve first.
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