With our dissertation statistics service, you can be confident of having your data analysis order completed by a writer with equivalent skills and expertise.
All statistical analysis orders completed by our writers are checked against our strict quality control process to ensure that it is in line with the required academic standards.
The writer will be able to work with any statistical analysis software of your choice – SPSS, Excel, STATA, eViews, etc. All you to do is specify your requirement.
The dissertation statistics data analysis service includes unlimited free revisions until you are fully satisfied with the quality of the works delivered to you.
Our packages are created with the goal of providing high-quality services at a reasonable cost to all students, regardless of their fields of study.
The analysis will be delivered along with a free-anti plagiarism report which is produced by our in-house plagiarism checking software to confirm the work is 100% unique and free of plagiarism.
Statistical analysis is a critical aspect of a dissertation and makes up the fourth chapter of a thesis, i.e., results and findings. Statistical analysis is the collection and interpretation of data to reveal trends and patterns or test a hypothesis.
SPSS, STATA, reviews, R, Nvivo, SAS, and others are some of the most commonly used statistical analysis software in colleges and universities worldwide.
When conducting statistical analysis for your dissertation, you can expect to work with numbers, descriptions, and themes. Accurately identify your research variables in the preceding chapters. The data interpretation stems from establishing the aim and objectives.
Choosing the right variables will help you group data according to your individual research objectives and conduct statistical analysis accurately.
Your topic, academic level, and academic subjective determine what type of statistical test you should conduct. Based on your research aim and objective, you will have to decide which tests should be conducted.
We suggest that you start your data analysis off by considering the following seven statistical techniques before moving to more complex techniques for quantitative data.
Interpret the results after statistical analysis. Include all relevant tables, graphs, and charts to present your data and results explicitly. You must provide a brief explanation justifying the relevance and signification of each table, each graph, and chart.
Your data interpretation and results explanation should be simple and easy to understand so that readers can comprehend all results.
The dissertation statistical analysis is the meat of your study. After you have presented and interpreted the results, it is recommended that you crosscheck the data and the results. Errors in data handling can lead to incorrect analysis and interpretation.
Recheck the identified variables to make sure they are appropriate. Validate whether the data input process was error-free and the results obtained are reliable.
Finally, make sure to move any less relevant graphics and visuals to the appendices section.
Do not be hasty when conducting statistical analysis because readers are particularly interested in your research findings. Presenting incorrect data and misleading patterns can undermine your academic integrity. Make sure that you verify your data and results immediately after running tests.
Are you stuck with the statistical analysis of your dissertation? Unsure about the accuracy of the results? Whatever your situation is, get in touch with our team now if you have hit the dead end.
Our statistical analysis experts and highly qualified writers are here to help! We will handle your data collection and testing woes. The statistical analysis will be exactly in line with your research question or hypothesis and make your dissertation stand out.
Once we have received your order details, a member of our customers’ services team will contact you to confirm those details with you. We will find and assign a suitable writer to your order immediately after the payment has been received. However, we do request our clients to pay for the services as soon as possible to avoid unnecessary delays.