Quantitative Data Analysis
We do not have to explain much, do we? To analyse the collected data statistically in mathematical derivations is known as Quantitative Data Analysis.
What Exactly is Quantitative Data Analysis Services?
Data analysis simply implies the process of integrating and evaluating the collected research data for the PhD dissertation so that it can be interpreted in an understandable way. Moreover, quantitative data can be used to draw factual and logical conclusions with exact numbers only if the analysis approach used is correct.
The process of data analysis majorly depends on the Questionnaire developed and the data collection techniques used. For quantitative data analysis, it is important to have close-ended answers in the data which can be accurately evaluated on numerical terms.
Request A QuoteWhen Do We Use Quantitative Analysis In A PhD Dissertation Research?
To state the obvious, Quantitative Data Analysis is mostly used for PhD research areas which require comparison, calculation, and evaluation.
Quantitative data analysis is a type of data analysis, which we all know. It is also the most used and preferred approach of data analysis as it can be used for both open ended and close ended answers; however, the accuracy on open-ended questions might be low.
Depending on the requirement of the research and the chosen research method, our statisticians use softwares like SPSS, STATA, and others to perform ANOVA, regression analysis, t-tests, chi-square tests, and so on in order to get the results.
To sort these raw numbers, frequencies, correlations, variations, tests, analysis, and other related didactics of mathematics, quantitative data analysis is used. It helps in designing demographics, tables, and charts which can be used to simplify the interpretation process for the readers.
Benefits Of Quantitative Data Analysis Services
Quantitative Data Analysis services include a few aspects which do not just improve the quality of work but also can be done with an in-depth knowledge of different areas.
Reliability Test
In case of any error or credibility issue in the collected data, the analysis process can lead to wrong interpretation. Therefore, before proceeding with the data analysis, it is important to do a reliability test on the data and see whether it is fulfilling the research hypothesis. In case it does not, then only the selected data needs to be included in the analysis.
Existing Knowledge
Quantitative data analysis requires the knowledge of different softwares, techniques, and tools which are used to perform the analysis. Moreover, which software, technique, or tool will suit the research objective and can provide the desired result is also a tough task to decide. With experience and existing knowledge, the statisticians can come up with appropriate steps which a novice researcher can not.
Good Start With Great Ending
To make sure that the analysis process leads to a good result, it is important to make sure that the data used for analysis fits the needs of research work. Therefore, the experts conduct an assessment check to see whether the data collected is reliable and at the end, the statisticians also provide a one or two line interpretation report to make it easier for drawing the conclusions.
Related Services
In case the data collected is incomplete or not answering the questions properly, the experts can come up with immediate solutions instead of starting anew. Moreover, in case you are having issues in drawing the conclusion or writing the data interpretation and result chapters, you can let the experts do that for you conveniently.
