Academic Ghostwriting: Quantitative Interview

Academic Ghostwriting: Quantitative Interview

Designing, conducting and evaluating a quantitative interview may be the most challenging task that students or Ph.D. students have to overcome in the course of their academic careers.

It often turns out that people who are very familiar with many research methods and already have extensive academic knowledge are put off by mathematical and statistical methods. However, these methods are an indispensable tool in the field of opinion research or when it comes to making an impact assessment of a particular political or economic measure.

Quantitative interviews use a larger number of respondents (for example, via personal, telephone or Internet surveys). With the data gained in this way, connections can now be discussed. A typical question here is: “in what way and how strongly does income influence political orientation?”

In order to be able to carry out an evaluation, it is necessary to strictly adhere to statistical methods and the underlying definitions of terms:

  • How is the representativeness of the sample ensured?
  • Are the questions formulated in a neutral way?
  • Which significance level is the underlying?
  • Are the correlations detectable cause-and-effect relationships?

In some cases, it can be helpful to involve academic ghostwriters in planning, implementing, and evaluating quantitative interviews, especially when they have doubts about their own methodology or when it turns out that the complexity of the subject has been underestimated. Nothing is more disillusioning than when, at the end of a long period of work, it turns out that the survey methods have not been used correctly: in the worst case, the entire, painstakingly compiled database proves to be faulty and thus worthless for the research process.

If you want to avoid unpleasant surprises, you should instruct reputable agencies or ghostwriters in good time to review the material and check for any inconsistencies or mistakes. The ghostwriters can also come up with one or the other statistical insider tip and thus help to make the scientific process coherent and effective.