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A data analysis is an evaluation of formal data to gain knowledge for Bachelor, Master or PhD work. The goal is to identify patterns in the data, d. H. regularities, irregularities or at least abnormalities.
Data can respond to many forms of numbers to the extensive descriptions of objects. As a rule, this data is always in numerical form such as time series or numerical sequences or statistics of all kinds. Statistics are already processed data.
Data analysis requires creativity because the solution is usually not obvious. After all, nobody has done such an analysis, or at least they have not found anything about it in the literature.
The results of a data analysis are answers to first questions and detailed questions. The answers are numbers and graphics and the interpretation of these numbers and graphics.
The most important thing is to ask the right questions, sufficient questions and also clearly formulated questions. Here are some techniques to ask the right questions:
good formulation: What is the relationship between alpha and beta?
bad formulation: How are Alpha and Beta related?
Now it's time for the methods for calculation. There are dozens of statistical methods, but as always, most calculations can only be done with a handful of statistical methods.
It depends on the media, questions and methods I want to use.
A fixed rule is that I need at least 30 records for a statistical analysis to create representative statements about the population. So statistically, it does not matter if I have 30 or 30 million records. Therefore, statistics were invented.
You can use programs of all kinds for calculations. But questioning questions are their most powerful helpers.
The great intellectual challenge is to develop research design to get the data and to interpret the results in the end.
That's one thing. Every program is useful in the end. If someone else operates a program, you can simply be viewed as an extension of the program. However, this is a convenient view. Of course, it is better if you do your own calculations.
A good compromise is to find some help to perform a practical calculation, then follow the calculation steps carefully, so if you next time you can make mathematics. Basically, this works as a permissible training. One can then justify every step of calculation in defense.
clearly with the detailed questions and hypotheses. These two lead the entire data analysis. Thus, they formulate so many detailed questions as possible to answer their main question or research question. Detailed instructions and examples of the formulation of these so-called detailed questions can be found in the Disc Guide.
The thesis guide or dissertation manual has instructions for data collection, data preparation, data analysis and interpretation. The manual can also teach you how to formulate questions and answer it with data to create your own experiment. We also have many templates for questionnaires and analyzes of all kinds.
Good luck, writes your text!
Silvio and the Aristolo team
PS: Check the thesis ABC and the dosing instructions for writing a bachelor or master thesis in 31 days.
Silvio "rescued thousands of students and doctoral candidates as thesis coaching and dissertation trainer. Author of" Write your thesis in 31 days "and write your promotion in 200 days.
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