It can be divided into several steps: 1) determining the analysis target, 2) judging the data type, and 3) selecting the analysis method.
First, determine the analysis target.
Determine the research objectives, that is, determine the research ideas, that is, what do you want to study and what results do you get from which problems?
Generally, before starting the analysis, you need to determine a general research idea for your questionnaire, which is also the most important part.
If you lack ideas or don't know where to start, you can check the summary of the questionnaire framework by spssau.
References:
Summary of analysis ideas -SPSSAU
Secondly, determine the data type.
With the basic framework, we will enter the choice of specific analysis methods.
All data can be roughly divided into two types: quantitative data and classified data.
Quantitative data is the size of numbers such as age and height, which has specific significance. Classified data such as gender and occupation number have no practical significance.
Third, choose the analysis method.
The most common relationships between variables are: correlation, influence, difference and so on.
According to the data type and research purpose, the analysis method can be selected, and the detailed method selection instructions are provided in spssau.
References:
Analysis method selection -SPSSAU
Finally, the data is analyzed. Spssau provides standard three-line table format results and intelligent text analysis, which is convenient for quickly interpreting results and writing analysis reports.