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Designing Your Dissertation’s Results Section
After accomplishing your tough task of extensive research on your dissertation, you will require to come up with satisfying results for your dissertation. It is an excellent task of handling and analyzing these results. Let’s walk through writing up the results section.
How to write quantitative results
- Comprehending the fundamentals of the research
For one to write up the results in the right manner, the basic understanding and recall of basic research-related questions are critical. Here, a recollection of what one has accessed and the process of determining if your variables are continuous or categorical is key.
- Outlining descriptive and frequencies statistics
One uses descriptive and frequencies statistics to come up with a summary of all the sets of data you’ve obtained. One performs the steps by basing on the group as a whole or as a part. Providing a proper outline of all variables used in research by noting whether they are continuous or categorical will aid in reporting these statistics.
- Reporting the results of a correlation analysis
Basically, from your statistical tests, you will need to report the outcome from each test. The very first of these is a correlation. You can start by determining whether there is a normal distribution of the given variables. For example, you might want to consider if the height of a participant correlates with levels of self-esteem. Summarizing the main results on a table can also be a perfect option.
- Reporting regression results
The analysis of regression is a bit more complex. The provision of a report of the meeting of assumptions is required. To meet the assumptions, you should establish the following:
Ensure that no tolerance statistics is below 0 and no VIF statistics is past 10 for the assumption of no multi-collinearity.
The above and more others may sound a bit complex, but all you need is to check on the output results for noting the VIF values, Tolerance, etc.
In a case where the assumptions are not met, then there is a need to go further in understanding. To get through these, you can check out on a range of sources about regression.
In reporting the results of the actual regression analysis, you will first of all report whether the model attained some sought of importance in predicting the related scores.
- Reporting the results of a chi-square analysis
Chi-square analysis relies on categorical variables. When providing a report of your results, then you must come up with a simple table as well. You will need to show the results of a chi-square test by clearly identifying the Pearson chi-square value, significance value, and the value of freedom. In the end, you will require a report on the strength of the association. Therefore, you need to check out on Cramer’s V values as well as the Phi values.
- Reporting the results of a t-test analysis
Reporting the results of the t-test analysis may sound complex as well. You conduct the test to determine the presence of clear-cut differences between the two groups’ dependent variable continuous and independent variable categorical.
- Reporting the results of one-way ANOVA
One-way to use ANOVA is making a comparison of more than two means. The reason for such is basing on cases where there are two conditions of a continuous dependent variable and a categorical independent variable.
- Writing of qualitative results
It is not as detailed and complex but involves understanding research basics, reporting interview results, reporting observation results, and reporting the results of focus groups.