First of all, I want to explain that the guidance here is not in the conventional sense. What I'm talking about here is how to write a paper (it should still be abstract, but you'll know after reading it).

So far, I have also helped to do the data analysis of thousands of student papers, including the writing of some whole papers. Because I do market research and data analysis, my main tool is spss. I can't say that I am 100% proficient in spss, but it should be enough to cope with eighty or ninety. Naturally, I usually use my spare time to help students do some paper data analysis and paper writing guidance.

The core of many papers contains data analysis, and statistics should also be an important course in all disciplines. On the contrary, many disciplines only regard statistics and data analysis as an elective course, or even an unimportant course, which leads to students' complete incomprehension at the end of the paper.

In this case, many students know nothing about data analysis, which leads to problems from the initial design to the later data collection and collation, and finally leads to problems in analysis.

So, how to build a paper and write it from scratch when you don't know anything about data analysis? Although the data analysis part is the core of many papers, no matter what kind of paper you write, you can't do without the framework of the paper. Therefore, the specific process should be as follows:

The first is the topic selection, of course, many times the tutor directly gives the topic selection without much discussion.