1. Literature review method: By consulting relevant literature, we can understand the existing research results and viewpoints and provide theoretical basis and reference for our own research.
2. Experimental method: By designing and implementing the experiment, collect the experimental data, and then make statistical analysis on the data, and draw a conclusion.
3. Questionnaire survey method: collect the opinions and opinions of the respondents by designing questionnaires, and then make statistical analysis on the data to draw a conclusion.
4. Interview method: through in-depth conversation with the interviewees, collect their opinions and experiences, and then sort out and analyze the data and draw a conclusion.
5. Observation method: collect original data through direct observation of phenomena or events, and then sort out and analyze the data to draw a conclusion.
In data analysis, the commonly used methods include descriptive statistical analysis, inferential statistical analysis, regression analysis, variance analysis, factor analysis and so on. These methods can help researchers extract useful information from a large number of data, discover laws and trends, and verify hypotheses or theories.
In a word, the collection and analysis of paper data is a complex and important process, which requires researchers to choose appropriate methods and use appropriate statistical tools and techniques for analysis according to research purposes and problems.