Data Analysis Services by Statisticians with PhDs

Quantitative data analysis is a five step process. The first step is to define your research questions and hypotheses clearly. The second step is to determine how you are going to measure each component of your research question. The third step is to locate data that meets your measurement definition and prepare it to be analysed. The fourth step is to analyse your data using an analysis appropriate for your measurement definition and data. The fifth step is to interpret your results.

Qualitative data analysis typically consists of three phases: Data coding, data analysis, and results interpretation. In the first phase, a series of passes is conducted using NVivo (or MAXQDA) software to identify and extract relevant themes. In the second phase, these themes will be used to analyse your qualitative data, thereby generating quantitative information about your qualitative data. As part of this process, the broader themes of your qualitative material will also emerge. The analysis will not only generate these themes, but also produce evidence supporting their existence and relative strength. For the third phase you will need to interpret these results.

All of them. We’re happy to support you with any and all of the processes, as necessary. 

I'm afraid not. Each step in the data analysis corresponds to underlying mathematical realities of statistical analysis and all are necessary to complete your dissertation.

Yes, certainly. Our methodologists will help you develop your methodology section and ensure your research methods are sound and that your research questions are testable and can be answered using the methods you chose. 

Yes, certainly. If our PhD-Academic Consultants who field calls and emails can help you, they will. If not, we would be happy to make a consultation appointment with one of our PhD-statisticians for £80/hour, who will certainly be able to answer your questions.