1. data collation: SPSS can help researchers collate and clean up data, including deleting duplicate values, handling missing values, and variable transformation, making data more accurate and reliable.
2. Descriptive statistical analysis: SPSS can generate various descriptive statistics, such as mean, standard deviation, frequency, percentage, etc., to help researchers understand the basic situation of data.
3. Exploratory data analysis: SPSS can carry out correlation analysis, factor analysis and cluster analysis. To help researchers discover patterns and relationships in data.
4. Inference statistical analysis: SPSS can conduct t-test, variance analysis, regression analysis, nonparametric test, etc. Help researchers infer and predict data.
5. Graphic display: SPSS can generate various graphics, such as bar charts, pie charts, scatter charts and line charts. , visually display the distribution and trend of data.
6. Result report: SPSS can generate detailed statistical analysis reports, including various statistics, P values, confidence intervals, etc. It is convenient for researchers to write papers.
7. Automation of data processing and analysis: SPSS can automate data processing and analysis by writing scripts or using macros, which greatly improves the research efficiency.
Generally speaking, the main function of SPSS in the paper is to help researchers sort out, analyze and explain the data, so as to draw scientific conclusions.