Data analysis is a critical aspect of research without which you cannot arrive at a reliable conclusion. As a matter of fact, data analysis takes a researcher through the process of inspecting gathered data, illustration and provides support to deductive decisions and conclusion in research.

But sometimes students try to avert some of the procedures necessary for data analysis which results to a number of issues and research misconduct in extension. In my opinion, to hire a data analyst could save you that much stress and guide you properly for better presentation and analysis of data.

Let me quickly put you through some prevalent issues surrounding proper data analysis in research.

Poor training for conducting research
If your institution have not trained you on research procedures, data presentation and analysis, it will not be easy to conduct yourself properly during research.

Lack of clearly defined objectives
This is actually the foundation of data in research. When you do not define specifically your objectives, it will be complicated to draft a clear research question, instrumentation and proper data presentation.

Wrong data presentation
As a result of wrong data presentation, you will surely find it difficult to analyze data accurately because at some point you will get hooked and you may be forced to manipulate figures to break free.

Accuracy of data
Once you have missed it in the above stages, one will hardly trust the accuracy of data you have presented; I mean it can’t possibly be correct at this point except if you manipulated the data from the beginning which also means that you have decided to redo the data aspect of your research.

Reliability and validity of data
Sometimes during data analysis, you may be required to prove the reliability of your research instruments using stipulated formulas. But how can you prove what you got all wrong?

Honestly these are some of the many research misconducts that students are grounded in but you can get help hiring a data analyst for better research outcome.