1, data description: briefly describe the collected questionnaire data, including basic information such as sample number, gender distribution, age level, etc., to ensure that readers have a preliminary understanding of the data background.
2. Analysis methods: Introduce the data analysis methods adopted, such as descriptive statistics, correlation analysis, t-test, etc. And explain the reasons for choosing these methods and their applicability in the study.
3. Presentation of results: Detailed presentation of data analysis results, presentation of key data such as mean value, standard deviation, correlation coefficient, etc. in the form of charts and texts, and a brief explanation of the verification degree of these results to the research hypothesis.